Figure 1. Meta-analysis: FEV1 individual and combined effect size outcomes for studies comparing the addition of long-acting beta-2 agonists to a fixed ICS dose
The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public- and private-sector organizations in their efforts to improve the quality of health care in the United States. The reports and assessments provide organizations with comprehensive, science-based information on common, costly medical conditions and new health care technologies. The EPCs systematically review the relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments.
To bring the broadest range of experts into the development of evidence reports and health technology assessments, AHRQ encourages the EPCs to form partnerships and enter into collaborations with other medical and research organizations. The EPCs work with these partner organizations to ensure that the evidence reports and technology assessments they produce will become building blocks for health care quality improvement projects throughout the Nation. The reports undergo peer review prior to their release.
AHRQ expects that the EPC evidence reports and technology assessments will inform individual health plans, providers, and purchasers as well as the health care system as a whole by providing important information to help improve health care quality.
We welcome written comments on this evidence report. They may be sent to: Director, Center for Practice and Technology Assessment, Agency for Healthcare Research and Quality, 6010 Executive Blvd., Suite 300, Rockville, MD 20852.
| John M. Eisenberg, M.D. | Robert Graham, M.D. |
| Director | Director, Center for Practice and |
| Agency for Healthcare Research and Quality | Technology Assessment |
| Agency for Healthcare Research and Quality |
| The authors of this report are responsible for its content. Statements in the report should not be construed as endorsement by the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services of a particular drug, device, test, treatment, or other clinical service. |
Asthma affects over 14 million persons in the U.S. and is the most common chronic disease of childhood. This systematic review addresses 5 key questions: (1) whether chronic use of inhaled corticosteroids (ICS) improves long-term outcomes for children with mild to moderate asthma; and whether chronic ICS use in children results in long-term adverse effects; (2) whether, for patients with mild-moderate asthma, early initiation of ICS prevents asthma progression; (3) whether, in patients with moderate asthma, adding other long-term controllers to low-moderate dosages of ICS improves control; (4) whether adding antibiotics to standard care improves the treatment of acute asthma exacerbation; and (5) whether a written asthma action plan improves outcomes; and whether a peak flow monitor-based plan is superior to a symptom-based plan.
The MEDLINE and Embase databases were searched from 1980 through August 2000 for articles using the following textwords or Medical Subject Headings (MeSH®) terms in their titles, their abstracts, or their keyword lists: leukotriene antagonists; zileuton; montelukast; zafirlukast; cromolyn; nedocromil; theophylline; adrenergic beta-agonists (including albuterol and salmeterol); "adrenal cortex hormones" OR steroids (including beclomethasone, budesonide, dexamethasone, flunisolide, fluticasone, triamcinolone); OR antibiotics; peak expiratory flow rate; meter* (truncated); monitor* (truncated); action plan* (truncated); self care; patient care planning; patient participation. Results were limited to those articles that were indexed under the MeSH® term "asthma"; addressed studies on human subjects; and were indexed under any of the following study design terms: clinical trials; intervention studies; double-blind method; single-blind method; placebo* (truncated); random allocation; controlled clinical trial; cohort studies. Total retrieval was 4,578 references.
Inclusion was limited to controlled trials of efficacy outcomes. Uncontrolled studies of long-term adverse effects of ICS in children were also included. Yield was 87 selected from 668 dually reviewed, full-length articles.
Each study was abstracted by two independent reviewers using a prospectively designed protocol. Meta-analysis of outcomes of long-acting beta-2 agonists added to ICS was performed based on calculated effect sizes.
Compared to as-needed beta-2 agonists, ICS improves control in children with mild-to-moderate asthma; no alternative long-term controller appears to be superior. ICS therapy at recommended doses does not appear to have frequent, clinically significant, or irreversible effects on vertical growth, bone mineral density, ocular toxicity, or suppression of adrenal/pituitary axis in the short term. However, no studies have sufficient followup or size to assess cumulative effects in later life. The best available evidence does not support the hypothesis that mild to moderate asthmatics undergo progressive decline in lung function, which might be prevented by early ICS initiation. Adding long-acting beta-2 agonists or leukotriene antagonists to ICS improves asthma control, as may theophylline, but studies in children are lacking. The evidence suggests no benefit to using antibiotics routinely for treatment of acute asthma exacerbation. The evidence is insufficient to demonstrate that use of a written asthma action plan improves outcomes, or that peak flow monitoring-based plans are superior.
A national research agenda for long-term studies to improve effectiveness of asthma management is needed, with high priority to pediatric studies. Future asthma trials should use common definitions for severity, population characteristics, and outcome measures and should comply with recognized standards for reporting and statistical analysis. Research on rational antibiotic use should include explicit study questions and populations relevant to asthma management.
This document is in the public domain and may be used and reprinted without permission except those copyrighted materials noted for which further reproduction is prohibited without the specific permission of copyright holders.
Aronson N, Lefevre F, Piper M, et al. Management of Chronic Asthma. Evidence Report/Technology Assessment Number 44. (Prepared by Blue Cross and Blue Shield Association Technology Evaluation Center under Contract No. 290-97-0015.) AHRQ Publication No. 01-E044. Rockville, MD: Agency for Healthcare Research and Quality. September 2001.
Asthma is a heterogeneous clinical disorder characterized by episodic wheezing, chronicity, hyperresponsiveness of airways to a variety of stimuli, and largely reversible obstruction of airways. Inflammation is present in the airways and, over time, airway remodeling may occur, which may, in turn, cause permanent structural changes and decline in lung function. Asthma is classified by four levels of severity: mild intermittent, mild persistent, moderate persistent, and severe persistent.
Asthma is estimated to affect 14 to 15 million persons in the United States. It is the most common chronic disease of childhood, affecting approximately 4.8 million children. There are 70,000 asthma-related hospitalizations each year, and more than 5,000 people die of asthma annually. Hospitalization rates have been highest among blacks and children, and death rates have been consistently highest among blacks (15 to 24 years of age).
This report is the product of a systematic literature review of the evidence on five key questions related to the management of chronic asthma. These key questions were selected as high priority issues by the three partner organizations that nominated this topic to the Agency for Healthcare Research and Quality (AHRQ) for development of an evidence report. The nominating organizations were the National Heart, Lung, and Blood Institute (NHLBI), the American Academy of Pediatrics (AAP), and the American Academy of Family Physicians (AAFP).
The five key questions addressed in this systematic review of evidence are:
Whether chronic use of inhaled corticosteroids (ICS) improves long-term outcomes for children with mild-to-moderate asthma, and whether chronic use of ICS results in long-term adverse effects in children.
Whether, for patients with mild-moderate asthma, early initiation of long-term control medication (i.e., ICS) prevents asthma progression.
Whether, for patients with moderate asthma, adding other long-term controller medications (i.e., leukotriene modifiers, long-acting beta-2 agonists, or theophylline) to low-moderate dosages of ICS improves control or lowers ICS dosage.
Whether adding antibiotics to standard care improves the outcomes of treatment for acute exacerbation of asthma.
Whether addition of a written asthma action plan to medical management alone improves outcomes, and whether a peak flow monitor-based plan is superior to a symptom-based plan.
As outlined, the results of this systematic review are reported in five parts that reflect the five key questions. Each key question states the patient populations and interventions of interest. A description of the outcomes of interest follows the outline of key questions.
Does chronic use of ICS improve long-term outcomes for children with mild-to-moderate asthma, compared to:
"As needed" beta-2 agonists.
Long-acting beta-2 agonists.
Theophylline.
Cromolyn/nedocromil.
Combinations of the above drugs.
What are the long-term adverse effects of chronic ICS use in children on the following outcomes:
Vertical growth.
Bone mineral density (BMD).
Ocular toxicity.
Suppression of adrenal/pituitary axis.
For patients with mild-moderate asthma, does early initiation of long-term controller therapy (i.e., ICS) prevent progression of asthma, as indicated by changes in lung function or severity of symptoms?
For patients with moderate asthma who are receiving ICS, does adding another long-term control agent improve outcomes? Three settings are of interest:
Whether addition of a long-term controller improves asthma control attained with a fixed dose of ICS;
Whether addition of a long-term controller maintains or improves asthma control while titrating ICS to the lowest effective dose.
Whether addition of a long-term controller maintains or improves asthma control as compared with increasing the ICS dose.
Long-acting beta-2 agonists.
Theophylline.
Leukotriene antagonists.
Cromolyn/nedocromil.
However, there were no studies of cromolyn/nedocromil added to ICS that met study selection criteria for this review.
Does routinely adding antibiotics to standard care improve the outcomes of treatment for acute exacerbation of asthma?
Does the addition of antibiotics to standard care in the following populations improve the outcomes of treatment for an acute exacerbation of asthma?
Patients without signs and symptoms of a bacterial infection.
Patients with signs and symptoms of a bacterial infection.
Patients with signs/symptoms of sinusitis.
Compared to medical management alone, does the use of a written asthma action plan improve outcomes?
Compared to a written action plan based on symptoms, does use of a written action plan based on peak flow monitoring improve outcomes?
Evidence also was sought to address the following additional questions, but no studies that met the study selection criteria were found.
What are the outcomes of a written action plan for daily use compared to a written action plan for exacerbation use only?
What are the outcomes of peak flow monitoring without an action plan to medical management alone?
What are the outcomes of chronic peak flow monitoring compared to exacerbation-only peak flow monitoring?
What are the relative outcomes of alternative schedules of peak flow monitoring?
For each of the five key questions, data was sought on lung function outcomes, symptom outcomes, and utilization outcomes. Lung function measures included spirometric measures (pre- or post-bronchodilator forced expiratory volume in 1 second [FEV1]); peak flow meter (PFM) measurement of peak expiratory flow (PEF); and measures of bronchial hyperresponsiveness. Post-bronchodilator FEV1 was judged to be the best measurement of long-term changes in lung function and, therefore, the best indicator of disease progression in asthma. Symptom outcomes included symptom scores, symptom frequency, use of acute bronchodilator medication, exacerbations, and use of oral corticosteroids. Quality-of-life data, although reported infrequently, were also collected in this systematic review. Utilization outcomes included hospitalizations, emergency room visits, unscheduled visits, and measures of days lost from school or work.
Review of treatment-related adverse effects was limited to Key Questions 1 and 3. Key Question 1 reports only on children and is limited to long-term adverse effects related to vertical growth, BMD, ocular toxicity, or suppression of adrenal/pituitary axis. Key Question 3 summarizes only the short-term adverse events that were reported in the reviewed studies of addition of long-acting beta-2 agonists, theophylline, or leukotriene antagonists to ICS. Adverse events of interest were: headache; central nervous system (CNS) morbidity (e.g., seizures) and tremors; cardiac dysfunction; gastrointestinal (GI) dysfunction (i.e., dyspepsia, nausea, vomiting, diarrhea); upper respiratory infections or sinusitis; throat irritation, hoarseness, or unpleasant taste; sleep disorders; and hepatic toxicity.
The protocol for this review was prospectively designed to define: study objectives, search strategy, patient populations of interest, study selection criteria and methods for determining study eligibility, outcomes of interest, data elements to be abstracted and methods for abstraction, and methods for assessment of study quality. Two independent reviewers reviewed studies for inclusion and abstracted data from included studies. Detailed printed directions for consistent data abstraction were provided to all reviewers. Substantive disagreements were few, and they were resolved by consensus.
The development of the evidence report was subject to extensive expert review. A technical advisory group (TAG) of eight nationally recognized experts provided ongoing guidance on all phases of this project. The partner organizations (i.e., the NHLBI; the AAFP; and the AAP) each designated TAG members.
The draft report was also reviewed by a panel of 15 external reviewers (experts and stake-holders were included). Four reviewers were invited to the panel by the Technology Evaluation Center (TEC) under the auspices of this task order for their expertise in pediatrics, asthma, and systematic review methodology. Eight of the external reviewers were appointed by professional organizations: the American Medical Association; American Lung Association; American College of Chest Physicians; American College of Emergency Physicians; American Society of Health-System Pharmacists; National Medical Association; American College of Asthma, Allergy, and Immunology; and the American Academy of Pediatrics. One external reviewer represented the National Institute of Allergy and Infectious Diseases of the National Institutes of Health, and two external reviewers represented the pharmaceutical industry.
Both MEDLINE and EMBASE databases were searched using PubMed (National Library of Medicine). The search included all articles published from January 1980 to August 2000 that included at least one of the following textwords (tw) or Medical Subject Headings (MeSH®) terms in their titles, their abstracts, or their keyword lists:
Leukotriene antagonists (including all MeSH® terms under this heading) OR zileuton (tw) OR montelukast (tw) OR zafirlukast (tw) OR cromolyn (tw) OR nedocromil (tw) OR theophylline (including all MeSH® terms under this heading) OR albuterol (MeSH®) OR albuterol (tw) OR salmeterol (tw) OR flunisolide (tw) OR fluticasone (tw) OR beclomethasone (tw) OR budesonide (tw) OR dexamethasone (tw) OR triamcinolone (tw) OR steroids (including all MeSH® terms under this heading).
Adrenergic beta-agonists (including all MeSH® terms under this heading) OR albuterol (tw) OR bitolterol (tw) OR isoetharine (tw) OR isoproterenol (tw) OR metaproterenol (tw) OR orciprenaline (MeSH®) OR pirbuterol (tw) OR terbutaline (tw) OR ipratropium (tw) OR adrenal cortex hormones (including all MeSH® terms under this heading).
(Peak expiratory flow rate (MeSH®) OR (peak (tw) AND flow (tw))).
(Meter (tw) OR meters (tw) OR monitor (tw) OR monitors (tw) OR monitoring (tw).
(Action (tw) AND (plan (tw) OR plans (tw))) OR self care (MeSH®) OR patient care planning (MeSH®) OR patient participation (MeSH®).
Beclomethasone (tw) OR budesonide (tw) OR dexamethasone (tw) OR flunisolide (tw) OR fluticasone (tw) OR triamcinolone (tw).
Leukotriene antagonists (including all MeSH® terms under this heading) OR zileuton (tw) OR montelukast (tw) OR zafirlukast (tw).
Cromolyn (tw) OR nedocromil (tw).
Theophylline (including all MeSH® terms under this heading).
Adrenergic beta-agonists (including all MeSH® terms under this heading) OR orciprenaline (MeSH®) OR albuterol (tw) OR bitolterol (tw) OR isoetharine (tw) OR isoproterenol (tw) OR metaproterenol (tw) OR pirbuterol (tw) OR terbutaline (tw) OR salmeterol (tw).
Antibiotics (including all MeSH® terms under this heading).
The search results were then limited to include only those articles that were indexed under the MeSH® term asthma (including all MeSH® terms under this heading) OR asthma (tw), that addressed studies on human subjects, and that were indexed under any of the following study design terms:
Clinical trials (including all MeSH® terms under this heading) OR intervention studies (MeSH®) OR double-blind method (MeSH®) OR single-blind method (MeSH®) OR placebos (MeSH®) OR random allocation (MeSH®).
Controlled clinical trial OR document type=randomized controlled trial.
Control? (truncated tw) OR placebo? (truncated tw) OR random? (truncated tw) OR blind? (truncated tw).
Cohort studies (MeSH®).
To supplement the strategy, the abstracts presented at the year 2000 meeting of the American Thoracic Society also were searched. Additional articles were also identified by TEC staff or by TAG members.
Total retrieval was 4,235 English and 343 non-English references. A total of 647 full-length journal articles in English were retrieved after the abstract review. Each study was initially assessed for potential to address any of the topics of interest, and reviewed against all potentially relevant study selection criteria. A further 21 articles in languages other than English but with an English-language abstract were also reviewed, and two were selected for inclusion. A total of 87 articles met the study selection criteria for inclusion in this systematic review.
This is a systematic review of published evidence. Criteria that were specific to each key question were developed for selecting studies for inclusion in this review. For assessment of efficacy outcomes, inclusion was limited to controlled trials, as many characteristics of asthma patients (e.g., disease severity, treatment compliance, concurrent treatments) are likely to affect the outcomes of interest. Most of the included trials were randomized, but nonrandomized controlled trials were also included. Uncontrolled studies were excluded, except for the review of long-term adverse effects of ICS in children.
A supplementary meta-analysis accompanies this full systematic review. Meta-analyses of the addition of long-acting beta-2 agonists to either a fixed ICS dose or to a lower ICS dose (in comparison with an increased ICS dose alone) were conducted for the following outcomes: FEV1 and PEF lung function outcomes, and puffs per day of short-acting beta-2 agonist usage. Meta-analyses of other outcomes of interest were considered, but were not possible due to variability in reporting or lack of sufficient data. There were insufficient data to perform meta-analysis for studies of the addition of theophylline or leukotriene antagonists to ICS. There were also insufficient data to perform meta-analysis for any other key questions in this systematic review.
Combined analyses were performed using the random effects, empirical Bayes model. Studies of FEV1 outcomes and PEF outcomes were combined on the basis of calculated effect size so that studies reporting in either liters or percent predicted (for FEV1) and L/min or percent predicted (for PEF) could be pooled. Nonrandomized studies, studies of children, and studies where effect size could not be calculated for FEV1 or PEF outcomes were excluded from combined analysis. A sensitivity analysis was performed for higher-quality studies. Trials that were double-blinded, met defined thresholds for minimizing exclusions from analysis, and met at least four of six asthma-specific quality indicators were defined as higher quality for purposes of sensitivity analysis. Studies were also stratified into two levels for each of four potentially confounding variables: baseline ICS dose, treatment duration, mean patient age, and mean baseline FEV1 as a surrogate for baseline disease severity.
Compared to as-needed beta-2 agonists without long-term controller medication, ICS improve control in children with mild-to-moderate asthma.
The evidence on the efficacy of ICS in children older than 5 years is from six trials, five of which were placebo controlled and randomized. These six trials enrolled a total of 790 patients treated with ICS and 652 controls. The most robust evidence came from the recent Childhood Asthma Management Program Research Group (CAMP) trial, which contributed 40 percent of ICS patients (n=311) and 64 percent of controls (n=418) to this review. It had the longest duration of treatment (4 years), the most complete outcome measures, and the most detailed reporting of study design and statistical analysis.
ICS-treated patients demonstrated improvement in prebronchodilator FEV1, reduced airway hyperresponsiveness, improvement in symptom scores and symptom frequency, less supplemental albuterol use, fewer courses of oral corticosteroids, and lower utilization (e.g., hospitalization).
Two small trials (n=69) compared ICS treatment to placebo in children under 5 years of age. The available evidence is scant, but the reported results appear to be consistent with those reported for children over 5 years of age.
The evidence does not suggest that ICS use improves long-term postbronchodilator FEV1.
The CAMP trial reported no difference in the change in postbronchodilator FEV1, which is a measure of disease progression, after 4 years of treatment.
No alternative long-term controller medication appears to be superior to ICS.
The CAMP trial found no difference between nedocromil and placebo in lung function or symptom outcomes, although courses of oral steroids and urgent care visits were reduced. Therefore, it can be concluded that ICS are more effective than nedocromil in reducing the frequency and severity of symptoms, supplemental beta-2 agonist use, and the frequency of hospitalizations due to asthma.
The available evidence is not adequate to determine the relative effectiveness of ICS and salmeterol. Two randomized and double-blinded trials enrolled 116 (99 evaluable) patients treated with ICS, 112 (83 evaluable) patients treated with salmeterol, and 80 (55 evaluable) patients treated with placebo. Although the evidence is insufficient to permit conclusions, of the statistically significant results reported, all favored ICS over salmeterol.
One trial (n=195) compared ICS use to theophylline. Because of the lack of additional trials and large numbers of withdrawals, the data are not sufficient to compare the relative effectiveness of ICS and theophylline.
The available evidence suggests that the use of ICS at recommended doses does not have frequent, clinically significant, or irreversible effects on any of the outcomes reviewed, at least over the short term. It is possible that chronic use of ICS initiated in childhood might have cumulative effects that increase the relative risk of certain events (such as osteoporosis or glaucoma, in later life.) However, none of the available studies have sufficient followup duration or patient numbers to assess this possibility.
Evidence on growth velocity over 1 year consistently shows a difference of average height of 1 cm/year between children treated with ICS and controls. However, the cumulative difference in growth appears to be much less than would be expected if the growth velocity difference had been maintained over several years. In the only randomized controlled trial with 4- to 6-year followup, the difference in cumulative growth was still approximately 1 cm at the end of the study.
Evidence on three measures of vertical growth in children was found: short-term growth velocity measured over a period of 1 year or less; growth velocity and change in height measured over longer duration (4-6 years); and final attained adult height. The evidence on short-term growth velocity is from a published meta-analysis which pooled data from five randomized controlled trials, representing 855 subjects, with a mean age of 9.5 years. Evidence on growth velocity and height over longer duration is from the CAMP trial comparing ICS, nedocromil, and placebo in 1,041 children with mild-to-moderate asthma (followed for 4 to 6 years). For final attained adult height, evidence is from three retrospective cohort studies that adjusted for the potential confounding factor of parental height. Together, these three studies included a total of 243 asthmatics treated with ICS, 154 asthmatics who had not been treated with ICS, and 204 non-asthmatic controls.
Evidence on growth velocity over 1 year is consistent in showing a difference of average height of 1 cm/year between children treated with ICS and controls. In the only trial extending beyond 1 year, a difference consistent with this magnitude also occurred in the first year of the study. However, in subsequent long-term followup, the difference in growth velocity was not maintained. At the end of the 4- to 6-year observation period, there was still an approximately 1 cm difference in cumulative growth between the study groups.
The evidence on final adult height appears to be fairly consistent, as well. However, this evidence is based on retrospective cohort studies, which are subject to selection bias and the confounding effects of severity of asthma cannot be adjusted for. Some comparisons in these studies were also limited by small sample size. One study showed a difference in final attained adult height between ICS users and nonusers. However, the difference is much less than would be expected if a 1 cm/year growth velocity difference was maintained over several years.
Treatment with ICS does not affect BMD when given in usual doses over 4 to 6 years of observation.
The CAMP study followed a population of mild-to-moderate asthmatics, mean age approximately 9 years, treated for 4 years with ICS. This study, with its large numbers and randomization and assessment of longitudinal changes, provides very strong evidence that there is no effect of ICS on BMD (in the doses given and time duration provided). One retrospective study of 30 young adults found a significant correlation between BMD and ICS dosage among female patients. Such studies are subject to potential confounding because of unmeasured differences between groups that are risk factors for low BMD. In addition, the clinical significance of any observed differences in BMD is unknown. Subtle differences in BMD would not have clinical impact until added to other risk factors such as aging, and it is uncertain whether differences observed during young adulthood would persist to old age. Alternatively, it is possible that subtle changes during critical periods of bone mineral accretion (occurring in childhood) could magnify the risk of osteoporotic fracture in later life.
The evidence shows no effects of ICS on development of posterior subcapsular cataract or glaucoma, but the population size and duration of the available studies are limited.
Studies that report the occurrence of posterior subcapsular cataracts consist mostly of small cohorts and cross-sectional studies, with the exception of the CAMP study. The expected incidence rate of subcapsular cataract in any population of normal young children and adults is zero. These studies are sufficient to rule out a large effect of ICS on the incidence of cataract, but are not capable of detecting a small increase in risk of an event which has a baseline risk of essentially zero. Also, several of the clinical trials that evaluated the development of cataracts were of relatively short duration.
Two of these studies also reported on measurements of ocular pressure. The available and very limited data show no relationship between glaucoma or raised intraocular pressure and ICS.
The overall evidence shows only clinically insignificant effects of ICS on the HPA axis. However, there may be persons acutely susceptible to these effects.
Two types of evidence on the effects of ICS on hypothalamic-pituitary-adrenal (HPA) axis function were found. These were case reports of iatrogenic Cushing's syndrome related to ICS and six studies (n=413 treated with ICS) regarding HPA axis function. Each study evaluated from one to three different measures of HPA function, with followup for at least 1 year after initiation of treatment.
The case reports show that systemic effects can occur in clinically detectable ways in patients, with a strong case for causality in these individual patients by the accompanying laboratory tests and response when ICS were withdrawn. In the controlled clinical studies that used more sensitive tests of cortisol such as 24-hour urinary cortisol, two out of three studies of HPA axis function showed a statistically significant effect of ICS. It should be noted that these statistically significant results occur as comparisons of mean values between groups. Few or no patients in most studies have laboratory values out of the "normal" range. However, the clinical significance of these more sensitive indicators of adrenal function is unknown.
The case reports appear to be reasonably causally attributable to ICS based on clinical presentation, consistency with laboratory findings, and clinical response to reduction or withdrawal of treatment. Although the studies show that, on average, patients may have only clinically insignificant effects of ICS on the HPA axis, there may be other patients acutely susceptible to their effects.
The evidence is insufficient to permit conclusions on whether early intervention with long-term controller medications is superior to delayed introduction. The best available evidence does not support the assumption that mild-to-moderate asthmatics have a progressive decline in lung function that can be prevented by early initiation of ICS.
The CAMP trial is the most robust evidence to date on long-term lung function outcomes in a group of patients treated with ICS compared with a placebo-control group. Although immediate initiation and delayed initiation of ICS were not directly compared, CAMP provides the strongest prospective evidence available on the natural history of mild-to-moderate asthma managed without ICS or other long-term controller medication. The CAMP trial did not find progressive decline in lung function over a 4-year period in a population of children with mild-to-moderate asthma managed without ICS; nor was there a significant difference or change between treated and control groups in postbronchodilator FEV1.
It is possible that the findings of the CAMP study are not generalizable to patients with less intensive overall care. Also, the findings may not be generalizable over longer periods of followup, to populations newly diagnosed with asthma, to groups of patients with more severe asthma, or to a subset of patients with a more variable disease course. But, for the general group of children with mild-to-moderate asthma, there is no convincing evidence that a progressive and clinically measurable decline in lung function can be altered by early initiation of ICS.
The available evidence on immediate vs. delayed initiation of ICS is from four studies. These studies have notable limitations with respect to relevance of the population, time frames for study entry and followup, clarity of reporting, and the use of appropriate control groups. None of these studies was prospectively designed to address the key question in the specific population of interest and thus, did not provide rigorous data relevant to this particular key question. Two studies (n=52; n=102, respectively) were open-label extensions of randomized controlled trials on the efficacy of ICS, in which the patients initially assigned to the control group were subsequently treated with ICS. There were also two single-arm studies, one of adults (n=105) and one of children (n=216), in which patients were stratified by duration of asthma prior to initiating ICS treatment (with outcomes being compared across the strata).
Due to high withdrawal rates, the most relevant of the extension phase randomized trials reported only on 16 patients who received immediate corticosteroid treatment; and no data were provided to test the statistical significance of results at the final 3-year time point. The larger of the extension phase randomized trials did not report on the patient population and outcomes most relevant to the key question. Neither of the single-arm studies clearly demonstrated a relationship between asthma duration and outcomes that was consistent among all strata analyzed.
There is a large body of evidence on the addition of long-acting beta-2 agonists to ICS, consisting of 28 studies that enrolled over 7,000 patients, with 1-year followup in the longest trials. The evidence consistently shows improvement in lung function outcomes, symptom outcomes, and supplemental beta-2 agonist use. Limited evidence shows that ICS dosage may be reduced without diminishing asthma control. However, there are only two pediatric studies that together report on 383 children, only 167 of whom were treated with the addition of long-acting beta-2 agonists.
Sixteen randomized, double-blinded trials that enrolled a total of 3,163 patients compared the addition of long-acting beta-2 agonists to a fixed dose of ICS. This evidence consistently showed improvement in lung function outcomes, symptom outcomes, and supplemental beta-2 agonist use. The combined estimate of treatment effect for FEV1 is 0.17 L (95 percent CI, 0.12-0.22) or 3.71 percent predicted (95 percent CI, 2.67-4.75), based on 14 studies with 2,781 evaluable patients. For morning, patient-measured PEF, the combined estimate of treatment effect is 24.7 L/min (95 percent CI, 17.7-31.7) or 7.3 percent predicted (95 percent CI, 5.3-9.3), based on nine studies with 1,678 evaluable patients. For supplemental beta-2 agonist use, the combined estimate of treatment effect was 1.18 fewer puffs/day (95 percent CI, −1.56 to −0.84), based on six studies with 1,142 evaluable patients.
Three crossover trials that enrolled a total of 151 patients evaluated reducing the dose of ICS after the addition of long-acting beta-2 agonists compared to placebo. The largest of these trials, which was randomized and double-blinded, reported on 84 patients treated for 6 months. All three trials demonstrated statistically significant reductions in ICS dosage for the long-acting beta-2 agonist group, ranging from 13.5 percent to 23.4 percent less than placebo. The evidence suggests that the reduction in dose is achieved without diminishment of lung function or increase in symptoms; and there is limited evidence to suggest improvement in symptoms.
Twelve randomized trials that enrolled more than 4,000 patients compared the addition of a long-acting beta-2 agonist to low or moderate dose ICS with an increased dose of ICS. All trials but one were double-blinded. This evidence consistently showed improvement in lung function outcomes, symptom outcomes, and supplemental beta-2 agonist use. The combined estimate of the magnitude of treatment effect for FEV1 is 0.11 L (95 percent CI, 0.07-0.15) or 2.32 percent predicted (95 percent CI, 1.48-3.16), based on eight studies with 2,754 evaluable patients. For morning, patient-measured PEF, the combined estimate of treatment effect is 11.6 L/min (95 percent CI, 5.2-18.0) or 3.4 percent predicted (95 percent CI, 1.5-5.3), based on 10 studies with 3,042 evaluable patients. For supplemental beta-2 agonist use, the combined estimate of treatment effect was 0.19 fewer puffs/day (95 percent CI, −0.06 to −0.31), based on three studies with 725 evaluable patients.
Data on adverse events were abstracted from clinical trials selected for inclusion in this report. In general, the adverse event profile for the addition of long-acting beta-2 agonists was similar to that for ICS alone. This analysis is limited because it examines only short-term adverse events for patients enrolled in clinical trials.
There is a small body of evidence on the addition of theophylline, consisting of six studies that enrolled 408 patients. The evidence suggests that the addition of theophylline to ICS produces improved lung function and symptoms. However, there are only two pediatric studies available that together reported on only 47 children treated with theophylline.
Six studies that evaluated a total of 408 patients compared the addition of theophylline to ICS, with 6 months of treatment in the longest trial. Four of these compared the addition of theophylline to a fixed ICS dose, and two compared the addition of theophylline to a higher dose of ICS. The four studies on the addition of theophylline to fixed ICS dose are generally mixed in their results, but the qualitative direction of the results suggests that the addition of theophylline to a fixed ICS dose produces improved lung function and symptoms. Based on two randomized clinical trials, theophylline plus ICS vs. a higher dose of ICS appears to produce roughly equivalent improvements in lung function and symptoms.
The evidence on the addition of leukotriene antagonists to ICS consists of five studies that enrolled a total of 1,111 patients, with 4 months of treatment in the longest trial. The evidence shows improved lung function and symptom scores when leukotriene antagonists are added to ICS. One trial showed that ICS dosage may be reduced without diminishing asthma control. There are no pediatric studies available.
Five studies enrolling 1,111 patients compared the addition of leukotriene antagonists to ICS. These studies are mostly randomized controlled trials that report on short-term outcomes. Four studies compared the addition of a leukotriene antagonist to a fixed dose ICS, and the fifth one evaluated the ability to reduce the ICS dose after starting a leukotriene antagonist. Of the four studies using a fixed dose of ICS, all showed that lung function was better when a leukotriene antagonist was added to a fixed dose of ICS. Three of these four studies also showed that symptom scores were improved. Two of the studies showed decreased use of beta-2 agonist under the combined regimen. The fifth study showed that the addition of a leukotriene antagonist allowed a greater number of patients to reduce the dosage of ICS under protocol-guided dosing guidelines.
The limited available evidence suggests that there is no benefit of using antibiotics routinely, or when suspicion of bacterial infection is low. No study addressed whether using antibiotics when suspicion of bacterial infection is moderate or high improves the outcome of treatment for acute exacerbation of asthma.
The available evidence consists of two randomized, placebo-controlled trials that enrolled a total of 121 hospital admissions for acute asthma exacerbations. Both studies were relatively old, having been published in 1974 and 1982. Furthermore, they may have been underpowered to detect treatment differences. One of the studies evaluated lung function and symptom outcomes only at 24 hours after patient admission, a length of time that may be insufficient to evaluate the benefit of antibiotics. In addition, the antibiotics used in these studies did not have activity against atypical organisms, such as Mycoplasma or Chlamydia. It is not known whether antibiotics in current use that have activity against atypical organisms may improve outcomes.
The available evidence suggests that there is no benefit of using antibiotics routinely or when suspicion of bacterial infection is low. Neither study found a statistically significant benefit for antibiotics on the outcomes of lung function at time of discharge, hospital length-of-stay, or symptom scores. There were no studies that addressed the question of greatest relevance to contemporary clinical practice, whether using antibiotics when suspicion of bacterial infection is moderate or high (i.e., when signs and symptoms suggest the possibility of bacterial infection, but do not clearly indicate its presence) improve the outcomes of treatment for acute exacerbation of asthma.
The available evidence is insufficient to demonstrate that, compared to medical management alone, the use of a written asthma action plan improves outcomes. The available evidence is also insufficient to demonstrate that, compared to a written action plan based on symptoms, use of a written action plan based on peak flow monitoring improves outcomes.
A large body of literature on self-management interventions in asthma was reviewed for this report. From this literature, randomized controlled trials were selected that contained specific comparisons relevant to the key question. These trials were also largely free of contamination by interventions that were not directly relevant to the key question. Many articles were excluded due to the presence of multimodal interventions in the treatment group, particularly intensive patient education or optimization of medications, which were likely to confound results.
Nine randomized controlled trials that enrolled a total of 1,501 patients met the study selection criteria for this key question. Two of these trials included three arms: medical management alone, PFM-based written action plan, and symptom-based written action plan. This resulted in 11 comparisons among the nine studies. Seven trials (n=1,079) compared medical management with and without a written action plan (all having used a PFM-based plan). The two types of written action plans (PFM-based and symptom-based) were compared in four trials (n=393).
Of the nine trials reviewed, seven reported no significant differences in any measure of utilization, symptoms, or lung function. This included the largest of these trials (n=569), the Grampian Asthma Study of Integrated Care. However, as a group, the included trials were underpowered to detect differences in utilization outcomes (such as hospitalization and emergency room visits [which are events that occur infrequently]). Two trials reported statistically significant and striking reductions in emergency room utilization with use of a PFM-based action plan. However, both trials have serious flaws that diminish confidence in the results.
The available evidence does not demonstrate that written asthma action plans improve outcomes. Nor does this evidence refute the hypothesis that use of a written asthma plan is beneficial. If there is benefit in a written asthma action plan, it is most likely to be found in a population with severe or poorly controlled asthma leading to high utilization of in-hospital and emergency room treatment. As previously stated, two trials reported benefits from a PFM action plan, but neither trial provided a rigorous comparison with a symptom-based plan.
The following future research priorities are recommended:
The overriding priority is to develop a national research agenda for long-term studies to improve the effectiveness of asthma management. Short-term drug efficacy studies are over-represented in the present literature. It is imperative to develop an evidence base that supports clinical decisionmaking on the intensity of treatment, optimization of medication regimens, and utility of disease management interventions for various asthma populations.
Pediatric studies should have high priority in a national research agenda for long-term studies to improve the effectiveness of asthma management.
Future asthma trials should use common and internationally accepted definitions for defining asthma severity, other relevant population characteristics, and outcome measures. Distinct definitions for children and adults are likely to be necessary. Validation work is needed on classification schemes for severity. Because classifications of severity and prognosis may evolve with future research, panels of relevant data elements to be collected also should be standardized. The common definitions should include validated instruments for standard measurement of symptoms and quality of life. Finally, compliance with recognized standards for reporting and statistical analyses should be common practice.
Research to support the rational use of antibiotics should include explicit study questions and populations relevant to the treatment of patients with asthma.
This chapter provides an introduction to selected issues that are relevant to the interpretation and evaluation of the asthma literature. First, an overview of the epidemiology and pathophysiology of asthma is presented, followed by a discussion of asthma outcome measures and severity classification systems. An overview of current asthma medications will be presented. Finally, pertinent issues critical to the evaluation of the literature for each of the key questions are presented.
Asthma is a heterogeneous clinical disorder characterized by episodic wheezing, chronicity, hyperresponsiveness of airways to a variety of stimuli, and largely reversible obstruction of airways. Accompanying these clinical manifestations is an inflammatory process in walls of the airways. Environmental and genetic factors interact in susceptible individuals to cause the inflammation and the clinical manifestations of asthma.
Asthma is a variable and episodic condition characterized by exacerbations and remissions. Episodes of asthma are usually associated with widespread but variable airflow obstruction that is often reversible either spontaneously or with treatment.
Asthma is estimated to affect 14 million to 15 million persons in the U.S. It is the most common chronic disease of childhood, estimated to affect 4.8 million children (National Heart, Lung, and Blood Institute, 1997). As many as 10-15 percent of boys and 7-10 percent of girls may have asthma at some time during childhood (Behrman, Kliegman, and Jensen, 2000).
There are 70,000 asthma-related hospitalizations annually, and more than 5,000 people die of asthma each year. Hospitalization rates have been highest among blacks and children, and death rates have been consistently highest among blacks aged 15 to 24 years. Rates of asthma have increased or remained stable over the past decade (National Heart, Lung, and Blood Institute, 1997).
Asthma commonly arises in childhood, but may have its onset at any age. Prevalence among young children varies according to definition, but the 1988 Health Interview Survey indicated a prevalence of asthma of nearly 5 percent in the United States among children 10 to 17 years of age (Behrman, Kliegman, and Jensen, 2000). However, the long-term prognosis for childhood asthma is quite variable. Longitudinal studies show that about 50 percent of asthmatic children are free from symptoms within 10-20 years, but recurrences may occur. Children with severe asthma are less likely to have disease remission. Although the majority of childhood asthmatics have a good prognosis, some are at risk of impaired maturation of lung function and growth of lung tissue during childhood, lower attained level of lung function at adulthood, and decline of lung function during adulthood (Ulrik, 1999). Because of disease variability between individuals, it is difficult to predict the natural history of asthma in any given patient and difficult to know if treatment can alter the natural history of the disease.
Although most asthma arises during childhood, the annual incidence of asthma after the age of 20 is about 100 per 100,000 for the rest of the life span (Reed, 1999). An adult with asthma may have had the symptoms consistently since childhood, have recovered from the disease in childhood only to relapse, or have acquired the disease later in life. Unlike asthma in childhood, family history has not been demonstrated for adult-onset asthma. Occupational and environmental exposures, respiratory infections, and smoking have been implicated in the etiology of adult-onset asthma. Complicating the understanding of asthma in adults is the existence of other common conditions such as chronic obstructive pulmonary disease and chronic bronchitis, which may coexist in certain individuals. In persons who exhibit characteristics of asthma and either chronic obstructive pulmonary disease or chronic bronchitis, it may be difficult or impossible to determine which condition is the cause or result of worsening lung function over time. Thus, in both adults and children the natural history of asthma is poorly understood, and the effect of long-term control medication on long-term prognosis needs to be assessed in light of this context.
The important pathophysiologic feature of asthma that causes its classic clinical symptoms is an exaggerated bronchoconstrictor response. Wheezing, shortness of breath, and declines in lung function tests occur in response to exposure to allergens, environmental irritants, viral infections, cold air, exercise, or other poorly defined factors. Current research has demonstrated that inflammation is a critical process involved in the pathophysiology of asthma. Airway markers of inflammation correlate with measures of bronchial hyperresponsiveness. Secondly, treatment of asthma with certain anti-inflammatory medications reduces inflammation and diminishes airway hyperresponsiveness.
In addition to acute bronchoconstriction, inflammation is thought to contribute to acute asthma symptoms by contributing to airway edema and by causing formation of chronic mucous plugs.
Although the changes in lung function induced by inflammation are largely reversible with appropriate treatment, inflammatory cell infiltration coupled with airway smooth muscle spasm, mucosal edema, and chronic mucous plugging of smaller airways can result in airway remodeling. In some patients, this leads to airflow limitations that are only partially reversible. A pathologic feature of asthma is an alternation in the amount and composition of extracellular material in the airway wall, which may cause permanent changes in airway anatomy. Although airway remodeling is not fully understood, the irreversible changes in lung function in some asthma patients suggests that long-term anti-inflammatory therapy which is started early and continued according to a management plan may modify the long-term course of the disease.
Because asthma is a chronic disease characterized by differing frequencies of daily symptoms, exacerbations and remissions, characterizing the severity of the disease is problematic. Level of symptoms may be confounded by current treatment, which may be adequate or inadequate. Tests of lung function may not correlate with the severity and frequency of symptoms. However, in order to facilitate useful clinical guidelines for management and to classify patients consistently to evaluate outcomes, the National Heart, Lung, and Blood Institute (NHLBI) currently classifies asthma into four levels of severity based on pretreatment measures and symptoms: mild intermittent, mild persistent, moderate persistent, and severe persistent (National Heart, Lung, and Blood Institute, 1997). The classification system uses symptom frequency, exacerbation severity and frequency, frequency of nighttime symptoms, and lung function (as assessed by forced expiratory volume in one second [FEV1] or peak expiratory flow [PEF] variability). The presence of the most severe features in any category places a patient in that category of asthma severity.
The current classification system differs from the prior NHLBI Expert Panel report on asthma (National Asthma Education and Prevention Program, 1992). Most published reports of clinical research on asthma do not use the NHLBI classification system. The classification schemes in most studies are quite variable. Comparisons of patients outside of or between clinical trials can be problematic. In addition, other aspects of asthma not captured by the NHLBI classification scheme are likely to be associated with many outcome measures. Duration of asthma diagnosis, prior treatment with corticosteroids or other long-term medication, or presence of atopy are just a few possible characteristics that may be unmeasured in a research study.
Since asthma is a chronic condition for which no treatment has been proven to be curative (although remissions are common), the overall goal of treatment is to control asthma symptoms as much as possible with as few adverse effects of treatment as possible. The NHLBI defines control of asthma as: 1) prevention of chronic and troublesome symptoms, 2) maintenance of (near) "normal" pulmonary function, 3) maintenance of normal activity levels, 4) prevention of recurrent exacerbations of asthma and minimization of emergency department visits, 5) minimal or no adverse effects from pharmacotherapy, and 6) fulfillment of patients' and families' expectations of asthma care.
Recognition of the need to balance control of asthma against possible adverse effects of treatment is reflected in the NHLBI treatment guidelines, which are stratified by severity of asthma. For the moderate and severe categories of asthma, different regimens are recommended for control of a potentially life-threatening condition. However, for the milder categories of asthma, and particularly the mild persistent category, controversy exists about the strategies that will best control asthma at the lowest risk of adverse effects. Both medications and dosages can be varied to obtain a certain level of control, and different patients may have different opinions regarding benefits and risks of treatment.
Another aspect of treatment addressed relates to strategies patients use to self-manage fluctuations in asthma symptoms -- asthma management plans. In addition to controlling asthma with specific medications, there are different ways to have patients manage their own asthma to control fluctuations in asthma symptoms, which may reduce exacerbations and risk of hospitalization. The objective is to have patients optimally manage fluctuations in their disease to minimize asthma morbidity.
A final pertinent objective of treatment, for the purposes of this report, is prevention of progression of asthma, in addition to concurrent control of asthma. Although patients may be well controlled on certain regimens of medications, over time asthma can worsen, as manifested by increasing doses of medications needed for the same degree of control, worsening lung function over time, increasing frequency of exacerbations, or evidence of permanent lung dysfunction. If treatment with a long-term anti-inflammatory medication were proven to prevent progression of asthma in addition to providing improved control of acute exacerbations, then it would be useful even for asthmatics with milder classes of disease, for whom other medications or combinations of medications could provide equivalent control of symptoms.
Assessment of treatment outcomes for asthma is complicated by the multiplicity of possible outcome measures for assessing the disease and lack of a universally accepted gold standard for assessing clinical outcome. Assessment of asthma outcomes falls into three categories: lung function measurements, symptom assessment, and health care utilization measures.
It is also important to distinguish between the specific outcome measurements being used as to whether they are intended to represent control of asthma versus long-term deterioration of lung function.
Several measures of lung function as assessed with spirometry are commonly used in asthma studies. Instrumentation and techniques for obtaining standard lung function values have been well standardized by the American Thoracic Society, so that values obtained between studies are likely to be comparable (American Thoracic Society, 1995). However, careful attention to proper technique is critical, and full effort and cooperation of subjects is essential. Spirometry can be used to generate several possible parameters of lung function, but the most common one employed for assessing asthma is the forced expiratory volume in 1 second, FEV1. FEV1 values vary by gender, age, height, and ethnicity. In studies of children and in studies assessing changes over long periods of time, FEV1 values are usually transformed into normalized values (expressed as percent predicted) based on comparisons to large reference populations.
It is critical to note under which conditions a particular FEV1 value is obtained in order to make the correct inference from comparisons. The baseline value of FEV1 in many clinical trials is usually assessed after a washout period of several weeks, during which time patients are taken off all medications to assess the FEV1 in the absence of any treatment. It is common to obtain values at baseline and during the treatment period at regular intervals. The prebronchodilator FEV1 is measured during treatment, several hours after any daily medication that is being taken. The postbronchodilator FEV1 is measured right after taking a dose of bronchodilator administered during the testing session.
FEV1 is the most common lung function assessed in clinical trials of asthma treatment carried out in the United States. In most studies examining the benefits of asthma medication on control of asthma, baseline FEV1 is compared to prebronchodilator FEV1. In studies examining the effect of asthma medication on changes in long-term lung function, serial postbronchodilator FEV1 measurements provide the best measure of long-term changes in lung function. Serial FEV1 measurements over a relatively long time span are also a reasonable surrogate for lung growth in children as it correlates well with lung volumes, but is easier to measure (Childhood Asthma Management Program Research Group, 1999).
Bronchial hyperresponsiveness, a key element of the definition of asthma, can be directly assessed by inducing bronchial constriction with inhalations of methacholine or histamine aerosol solutions. Two common ways that the patient's bronchial hyperresponsiveness is measured are 1) the amount or concentration of solution needed to induce a 20 percent fall in FEV1 (i.e., PC 20) or 2), whether the patient has a 20 percent fall in FEV1 at a particular dose of solution. Changes in bronchial hyperresponsiveness between baseline and during treatment are thought to correlate with improvements in asthma control. However, the relationship between bronchial hyperresponsiveness and clinical asthma is complicated. Although hyperresponsiveness is modestly predictive of concurrent or future asthma, many studies show poor correlation between hyperresponsiveness and severity of asthma and adequacy of treatment.
Peak flow meters (PFMs) are used to measure the PEF. Peak flow meters are small portable devices much simpler to use than spirometers and can be used by patients at home to monitor asthma. However, there is no standardization of these devices, and values from different manufacturers' devices are not comparable. For research purposes, it is critical that a reference set of values be available to adequately assess changes over time as patients age and children grow. Over short periods of time, changes in PEF can be assessed simply as changes compared to baseline or to another prior value. Some studies rely on patients' self-report of daily or periodic PEFs as recorded at home at specific times.
Several methods are used to assess symptoms in patients over time.
Although studies vary as to the number of symptoms to be assessed and the number of units of the ordinal scale, the general format is for patients to report on a zero (representing no symptoms) to a maximum number (representing severe symptoms) scale for several asthma symptoms, including dyspnea, cough, and wheezing. These values are recorded every day for morning and evening periods. There appears to be no uniform or best method for integrating these different symptoms and their differing intensities and frequencies into an outcome measure which best assesses the totality of asthma control over a given period. For most studies, these data are reduced to any of a number of possible binary outcomes, such as percent symptom-free days, percent days with severe symptoms, or percent of subjects reporting a severe symptom over a time interval.
If patients sense a worsening of asthma symptoms, they are usually instructed to use a short-acting beta-2 agonist to relieve symptoms and to potentially prevent a worse exacerbation. Increased use of a short-acting agent in the setting of long-term medication use may be an indicator of worsening control of asthma. Percent of days needing a short-acting beta-2 agonist or mean number of short-acting beta-2 agonist inhalations needed over a period of time are common ways to express this particular outcome.
If use of a short-acting beta-2 agonist fails to relieve acute symptoms, some clinical trial protocols call for a standard course of oral corticosteroids to be administered. This has been used as an outcome measure indicating an asthma exacerbation of certain minimal severity. Other measures reported in studies include days missed from school due to asthma symptoms, and withdrawal from the study itself. A common reason for withdrawing from a study is increase in asthma symptoms such that the patient cannot maintain the medication schedule in the assigned treatment arm.
For all these symptom-based outcome measures, it is critical to note that they rely on the accuracy of patients' self-report of symptoms or medication use. Both patients' and physicians' assessments of asthma symptoms correlate only modestly with objective measures of lung function. In addition, several measures rely on counting patients' responses to symptoms, which can be highly variable and depend on different exposures and activity levels as well as the patients' behavioral response to increased symptoms. Thus, these measures may have more variability than lung function outcomes and clinical studies must have sufficient sample size to detect differences in these types of measures.
Certain measures of health care utilization such as emergency room visits, unscheduled physician visits, and hospitalizations represent failures of long term and acute medical interventions and other maneuvers that patients can initiate themselves. These events are relatively rare, and thus most clinical trials of small or medium size are statistically underpowered to detect differences in these outcomes, particularly in trials among patients with mild-to-moderate asthma. However, in studies examining the role of asthma self-management programs, these measures provide one of the direct intended outcomes of these interventions.
| Different agents | Routes of administration | Usual dosages/Age recommendations | Comments |
|---|---|---|---|
| Long-acting Beta-2 adrenergic agonists | |||
| salmeterol xinafoate | aerosol for inhalation | patients 12 years of age and older: 2 inhalations (42 mcg) twice daily, approximately 12 hours apart | |
| albuterol a | long-acting tablets | patients 6-11 years of age: 4 mg every 12 hours patients 12 years of age and older: 12 mg every 12 hours (maximum recommended dosage) |
|
| formoterol b | ** | ** | ** |
| Corticosteroids (Inhaled) |
| ||
| beclomethasone dipropionate | aerosol for inhalation | patients 6-12 years of age: 42-84 mcg 3 or 4 times daily patients 12 years of age and older: 84 mcg 3 or 4 times daily |
|
| budesonide | powder for inhalation suspension for nebulization | children: 200 mcg twice daily (powder) or 0.25-2 mg (suspension) adults: 200-800 mcg twice daily (powder) or 0.5-4 mg daily (suspension) |
|
| flunisolide | aerosol for inhalation | patients 6-15 years of age: 500 mcg twice daily patients 15 years of age and older: 500 mcg twice daily | |
| fluticasone propionate | aerosol/powder for inhalation | patients 4-11 years of age: 50-100 mcg twice daily (powder) patients 12 years of age and older: 88 mcg-880 mcg twice daily (aerosol) or 100-1,000 mcg twice daily (powder) |
|
| triamcinolone acetonide | aerosol for inhalation | patients 6-12 years of age: 100-200 mcg 3 to 4 times daily or 300-400 mcg twice daily patients 12 years of age and older: 200 mcg 3 to 4 times daily or 400 mcg twice daily | |
| Leukotriene modifiers | |||
| montelukast sodium | tablets, chewable tablets | patients 2-5 years of age: 4-mg chewable tablet taken at night patients 6-14 years of age: 5-mg chewable tablet taken at night patients 15 years of age and older: 10 mg taken at night |
|
| pranlukast b | ** | ** | ** |
| zafirlukast | Tablets | patients 12 years of age or older: 20 mg twice daily patients 7-11 years of age: 10 mg twice daily |
|
| zileuton | Tablets | patients 12 years of age and older: 600 mg four times daily |
|
| Mast-cell stabilizers | |||
| cromolyn sodium | Aerosol/nebulization solution/capsules (powder) for inhalation | patients 2 years of age and older: 20 mg 4 times daily (nebulization) patients 5 years of age and older: 2 mg 4 times daily (aerosol) |
|
| nedocromil sodium | Aerosol for inhalation | patients 6 years of age and older: 3.5 mg 4 times daily |
|
| Other agents | |||
| theophylline | regular- and delayed-release capsules and tablets; sprinkles; solutions | variable; based on dosage form |
|
also available in short-acting formulations
not commercially available in the United States
According to the Expert Panel Report 2, the most effective agents available for long-term control of asthma are those agents that attenuate airway inflammation (National Heart, Lung, and Blood Institute, 1997). The Expert Panel defined anti-inflammatory medications as "those that cause a reduction in markers of airway inflammation in airway tissues or in airway secretions (e.g., eosinophils, mast cells, activated lymphocytes, macrophages and cytokines; or eosinophilic cationic protein and tryptase; or extravsascular leakage of albumin, fibrinogen or other vascular protein) and thus decrease the intensity of airway hyperresponsiveness" (National Heart, Lung, and Blood Institute, 1997).
Because airway inflammation is multifactorial, involving several cell types and multiple cytokines and soluble mediators, the drugs used to decrease inflammation may act at several different steps in the inflammatory process (National Heart, Lung, and Blood Institute, 1997). At the time the Expert Panel Report 2 was written, the anti-inflammatory actions "responsible for therapeutic effects, such as reduction in symptoms, improvement in expiratory flow, reduction in airway hyperresponsiveness, prevention of exacerbations, or prevention of airway wall remodeling," had not yet been established (National Heart, Lung, and Blood Institute, 1997).
As described in the Expert Panel Report 2 (National Heart, Lung, and Blood Institute, 1997), the principal action of beta-2 adrenergic agonists is to relax airway smooth muscle via stimulation of beta-2 adrenergic receptors, increasing production of cyclic adenosine monophosphate (AMP) (GlaxoWelcome, Inc., 2000). Although "short-acting" beta-2 agonists (e.g., terbutaline, pirbuterol, albuterol for inhalation) are used to treat bronchospasm in asthma, the intention of "long-acting" beta-2 agonist therapy is as an adjunct to inhaled corticosteroid (ICS) therapy, providing long-term control of symptoms, especially nocturnal symptoms (Yates, Sussman, Shaw et al., 1995) and bronchospasm caused by exercise.
Long-acting beta-2 adrenergic agonists can be oral or inhaled, and have a duration of action of up to 12 hours or more after a single dose (Becker and Simons, 1989; D'Alonzo, Nathan, Henochowicz et al., 1994). While the long-acting properties of oral albuterol are related to the delayed-release properties of its formulation, the long-acting properties of salmeterol are based on its high-affinity binding with the beta-2 adrenoreceptor (Adkins and McTavish, 1997). According to the Expert Panel Report 2 long-acting beta-2 adrenergic agonists should not be used in the management of acute exacerbations of asthma, nor should they be used in place of anti-inflammatory therapy (National Heart, Lung, and Blood Institute, 1997; GlaxoWelcome, Inc., 2000). However, concomitant use of long-acting beta-2 agonist therapy may allow the inhaled corticosteroid dosage to be decreased and addition of long-acting beta-2 agonist therapy to ICS appears to have a more beneficial effect than simply increasing the dosage of ICS (National Heart, Lung, and Blood Institute, 1997).
A combination product containing salmeterol plus fluticasone (Advair® Diskus) was approved in 2000 (Glaxo Wellcome, 2000) and formoterol fumarate (Foradil®) was deemed "approvable" by the U.S. Food and Drug Administration (FDA) on May 24, 2000.
The most common adverse effects of these drugs are related to their pharmacologic action in stimulating the beta adrenergic receptors; however, the selectivity of these agents for the beta-2 subtype adrenoreceptor makes them less likely than nonspecific beta adrenergic agents to have systemic, largely cardiac, effects (Anonymous, 2000). Adverse effects such as tremor, palpitations, tachycardia, and paradoxical bronchospasm have been reported (Adkins and McTavish, 1997; Anonymous 2000; GlaxoWelcome, Inc., 2000). There is no evidence to suggest any differences in the adverse event profiles of the long-acting beta-2 agonists (Bartow and Brogden, 1998; Brogden and Faulds, 1991; Nelson, 1995; Svedmyr and Lofdahl, 1996).
An association between overuse of inhaled beta-2 agonists and increased mortality has been observed; however, this may reflect a worsening of disease rather than an actual drug effect (Anonymous 2000). A diminished bronchoprotective effect against various challenges (e.g., exercise, methacholine) may be observed within 1 week of initiating chronic beta-adrenergic therapy (National Heart, Lung, and Blood Institute, 1997); however, the clinical effect of this diminishment is uncertain (National Heart, Lung, and Blood Institute, 1997). Although some evidence suggests that tolerance to the bronchodilator effects of salmeterol does not occur (National Heart, Lung, and Blood Institute, 1997), other evidence does suggest that tolerance to the bronchoprotective effects of salmeterol on exercise-induced bronchoconstriction does occur (Ramage, Cree, and Dhillon, 1994; Villaran, O'Neill, Helbling et al., 1999).
Postmarketing experience with salmeterol has shown that serious exacerbations of asthma, some of which were fatal, have occurred during salmeterol therapy; however, a causal relationship to the drug has not been established (GlaxoWelcome, Inc., 2000). Other adverse events reported in the postmarketing experience include rare reports of upper airway laryngeal spasm, irritation or swelling (e.g., stridor or choking), and hypertension or arrhythmias (e.g., supraventricular tachycardia, extrasystoles) (GlaxoWelcome, Inc., 2000); again, a causal relationship to the drug has not been established (GlaxoWelcome, Inc., 2000).
According to the Expert Panel Report 2, "[c]orticosteroids are the most potent and consistently effective long-term-control medication for asthma" (National Heart, Lung, and Blood Institute, 1997). Corticosteroids act to decrease and prevent bronchial inflammation and airway hyperreactivity (National Heart, Lung, and Blood Institute, 1997); possibly via direct inhibition of the cellular mediators of airway inflammation (including macrophages, T-lymphocytes, eosinophils, and airway epithelial cells) (Barnes, 1995). As noted in the Expert Panel Report 2, corticosteroids are used systemically (i.e., orally) in the acute management of asthma in order to gain prompt control of the disease when instituting long-term therapy (National Heart, Lung, and Blood Institute, 1997). ICS are used in the long-term management of the disease and are not generally used for use in acute disease exacerbations (National Heart, Lung, and Blood Institute, 1997), although more recent data suggest a role for these agents in the acute setting (Rodrigo and Rodrigo, 1999). Evidence suggests that due to differences in both molar potency and delivery systems, the ICS are not equipotent on a microgram basis (Kelly, 1998). In addition, some evidence indicates that newer ICS such as fluticasone and budesonide may be relatively more effective than older agents such beclomethasone or triamcinolone (Pauwels, Yernault, Demedts et al., 1998; Condemi, Chervinsky, Goldstein et al., 1997).
In September 2000, the FDA approved a nonchlorofluorocarbon propellant (hydrofluoroalkane, HFA) inhaled corticosteroid product (QVAR®, beclomethasone dipropionate extra-fine inhalation aerosol) (Burgt, Busse, Martin et al., 2000; 3M Company, 2000).
There is a wide spectrum of adverse effects related to oral corticosteroid use, that varies according to the dose of drug being administered and the length of treatment (e.g., short-term versus long-term) (Lipworth, 1999). As noted in the Expert Panel Report 2, corticosteroids can suppress the endogenous HPA axis, making patients more susceptible to infection and decreasing rates of wound healing, especially at higher systemic drug concentrations (National Heart, Lung, and Blood Institute, 1997). Other metabolic changes that can occur with orally administered corticosteroids include decreased bone mineral density, osteoporosis, changes in glucose metabolism, and sodium and water retention (National Heart, Lung, and Blood Institute, 1997). Peptic ulcer, mood changes, ocular effects such as the development of glaucoma or cataract, or decreased growth velocity in children also can occur (National Heart, Lung, and Blood Institute, 1997).
The most common local adverse effects of ICS are cough, oral candidiasis, or dysphonia (Barnes, 1995; National Heart, Lung, and Blood Institute, 1997). Systemic effects of inhaled agents such as decreased growth and effect on bone metabolism are important considerations especially in the treatment of children with these agents (National Heart, Lung, and Blood Institute, 1997); however, the role of ICS in the development of systemic adverse effects has been the subject of much debate (Barnes, 1995; U.S. Food and Drug Administration Center for Drug Evaluation and Research, 1998).
Endogenous leukotrienes, produced by cells such as eosinophils, neutrophils, macrophages, and mast cells, are implicated in the pathogenesis of asthma, most specifically, the cysteinyl leukotrienes C4, D4, and E4 (Adkins and Brogden, 1998; Drazen, Israel, and O'Byrne, 1999; Garcia-Marcos and Schuster, 1999; Markham and Faulds, 1998a). The leukotriene-modifier class of asthma agents either inhibits the synthesis/production of leukotrienes via inhibition of the enzyme 5-lipooxygenase (i.e., leukotriene inhibitors such as zileuton) or the selective, competitive inhibition of leukotrienes (specifically D4 and E4) with their target receptors (i.e., leukotriene receptor antagonists such as zafirlukast, montelukast sodium, and pranlukast) (Abbott, 1998; Adkins and Brogden, 1998; Drazen, Israel, and O'Byrne, 1999; Markham and Faulds, 1998a; Merck & Co., 2000; National Heart, Lung, and Blood Institute, 1997; Zeneca, 2000). At the time that the Expert Panel Report 2 was published, the only agents marketed in the United States were zafirlukast and zileuton (National Heart, Lung, and Blood Institute, 1997); currently, pranlukast is available only in Japan (Drazen, Israel, and O'Byrne, 1999).
Since the publication of the Expert Panel Report in 1997, there have been postmarketing reports of patients who have developed clinical features of vasculitis consistent with Churg-Strauss syndrome, a systemic eosinophilic vasculitis, while receiving concomitant leukotriene modifier (montelukast sodium, zafirlukast) and often corticosteroid therapy when the corticosteroid dosage is decreased/tapered (Adkins and Brogden, 1998; Anonymous, 2000; AstraZeneca, 1997; Merck & Co., Inc. 1998, 2000; Zeneca, 2000). A causal relationship to the leukotriene modifier therapy has not been established; it has been hypothesized that development of the syndrome may be related to the withdrawal of the corticosteroid therapy (Wechsler, Finn, Gunawardena et al., 2000; Wechsler, Pauwels, and Drazen, 1999; Wechsler and Drazen, 1999; Zeneca, 2000); however, development of the syndrome also has been reported in patients not receiving concomitant corticosteroids (Zeneca, 2000). The syndrome is characterized by eosinophilia, vasculitic rash, worsening pulmonary symptoms, cardiac complications, and/or neuropathy. The syndrome can be treated by reinstitution of corticosteroid therapy or initiation of cyclophosphamide therapy; however, it can be fatal if left untreated.
Both zileuton and zafirlukast can cause adverse hepatic effects (e.g., increased liver enzymes, hepatitis) (Abbott, 1998; Zeneca, 2000) and there have been rare postmarketing reports of hepatic failure in patients receiving zafirlukast (Reinus, Persky, Burkiewicz et al., 2000; Zeneca, 2000). In addition, product information for zileuton recommends that patients undergo monitoring of liver enzymes both at the initiation of and periodically during therapy (Abbott, 1998). Although both drugs should be discontinued temporarily in patients who develop signs or symptoms of liver dysfunction (Abbott, 1998; Zeneca, 2000), if laboratory tests confirm hepatotoxicity in patients receiving zafirlukast, the drug must be discontinued (Adkins and Brogden, 1998; Markham and Faulds, 1998a; Zeneca, 2000). Additional adverse events reported during the postmarketing period with zileuton include rash and urticaria (Abbott, 1998).
Zileuton and zafirlukast are metabolized by the cytochrome P450 liver isoenzyme system and can interfere with hepatic metabolism of other drugs (e.g., theophylline, erythromycin, warfarin) (Abbott, 1998; Adkins and Brogden, 1998; Anonymous, 2000; Zeneca, 2000).
The most common adverse effects associated with leukotriene modifier therapy include headache, nausea, infection/cough, and diarrhea (Adkins and Brogden, 1998; Zeneca, 2000; Merck & Co., Inc., 2000).
These agents stabilize mast cell membranes and modulate activation and release of inflammatory cell mediators and inhibit the recruitment and chemotaxis of eosinophils and other inflammatory cells, interfering with both the early and late reaction to allergens (Brogden and Sorkin, 1993; National Heart, Lung, and Blood Institute, 1997). These agents also have been shown to decrease airway hyperresponsiveness acutely (Brogden and Sorkin, 1993).
In the Expert Panel Report 2, it was noted that "Safety is the primary advantage of these agents."Since the publication of the Expert Report 2, there has been no postmarketing notification of unusual or serious adverse events associated with the use of these agents. In clinical trials of nedocromil, adverse event rates were similar in patients receiving drug or placebo (Brogden and Sorkin, 1993). The most commonly reported adverse effects include unpleasant taste (particularly with nedocromil) (National Heart, Lung, and Blood Institute, 1997).
Theophylline is a bronchodilator agent, related structurally to caffeine, and is principally used as adjuvant therapy in asthma management (National Heart, Lung, and Blood Institute, 1997). The drug directly relaxes smooth muscle in the bronchial airways and in the pulmonary blood vessels; additionally, it has been shown to have immunomodulatory, anti-inflammatory, and bronchoprotective effects (Markham and Faulds, 1998b; Weinberger and Hendeles, 1996). Theophylline appears to be particularly effective in decreasing nocturnal asthma symptoms (National Heart, Lung, and Blood Institute, 1997) and in low doses, has the potential for allowing for a decrease in the corticosteroid dose, when administered as concomitant therapy with ICS (Markham and Faulds, 1998b).
Theophylline has a relatively narrow therapeutic index and requires routine monitoring to ensure that the serum concentration is maintained at 5-15 mcg/mL (National Heart, Lung, and Blood Institute, 1997; Weinberger and Hendeles, 1996); the rate of toxicity increases when the serum concentrations are greater than 20 mcg/mL (Weinberger and Hendeles, 1996). Theophylline also affects the hepatic clearance of other drugs and its own clearance can be affected by other drugs cleared by the cytochrome P450 system and by smoking.
The most frequently observed adverse effects of theophylline are generally related to its structural similarity to caffeine and other methylxanthines (Weinberger and Hendeles, 1996). Therefore, headache, irritability, nausea/vomiting, tachycardia, and tachypnea occur commonly (National Heart, Lung, and Blood Institute, 1997). Adverse effects of theophylline are dose-related; serious adverse effects associated with high blood levels of the drug include seizures, cardiac arrhythmias, hematemesis, and metabolic abnormalities (National Heart, Lung, and Blood Institute, 1997).
The following section will briefly review the rationale for each specific key question, and where necessary, provide additional background material necessary for interpreting the evidence for that particular question.
Question 1a: Does chronic use of ICS improve long-term outcomes for children with mild-to-moderate asthma?
The NHLBI guidelines recommend that no daily medication is needed for mild intermittent asthma, and that ICS are one of the recommended choices for mild persistent asthma. Given the potentially higher risk of adverse side effects of ICS than other medications, an important question is whether ICS are necessary for mild asthmatics if they can achieve adequate control on other medication regimens. The concern over the long-term benefits and risks of chronic medication is heightened when treatment begins in childhood.
A difficult issue in this question is the classification of mild asthmatics, which varies between studies. Because ICS improve asthma control among more severe asthmatics, if a study has enrolled more severe asthma patients, then the study will tend to show greater effectiveness of ICS. Conversely, mild asthmatics have fewer symptoms and better lung function at baseline, so that the amount of improvement in such patients will be small and more difficult to detect in small trials.
Question 1b: What are the long-term adverse effects of chronic ICS use in children on vertical growth, bone mineral density (BMD), ocular toxicity, and suppression of adrenal/pituitary axis?
Concern over use of ICS is due to well-known and documented effects of oral corticosteroids on growth, BMD, ocular toxicity (glaucoma and cataracts), and adrenal/pituitary suppression (Cave, Arlett, and Lee, 1999). Although ICS have other minor adverse effects, this evidence report only sought data on these most serious potential adverse effects in children.
An important general methodologic issue in determining whether ICS cause adverse effects is the effect of asthma and/or asthma control on physiology and development. For example, asthma may delay puberty and suppress growth, but better or worse asthma control may also affect puberty and growth. Appropriate comparison groups and statistical approaches are necessary to evaluate the adverse effects of treatment but also to evaluate the effects of disease progression. A second issue is that use of intermittent oral corticosteroids may also confound an apparent association between ICS and certain adverse effects. Again, appropriate comparison groups, assessment of oral corticosteroid use, and appropriate statistical adjustment are necessary.
A final, most important issue is the methodologies for establishing adverse effects themselves. Most randomized clinical trials are not designed to specifically address adverse effects, and thus may be statistically underpowered to detect them. Biases in the way subjects are recruited for clinical trials may also affect generalizability of findings. Clinical trials are rarely conducted long enough for adverse effects associated with long standing corticosteroid use to manifest themselves. Thus observational studies are necessary to address these issues, but such studies may be subject to bias and confounding and provide less definitive conclusions.
There are several methods to assess growth over varying intervals of time, but each method has problems in relation to evaluating the potential effect of ICS. Over the very short term (i.e., less than 100 days), lower leg growth can be assessed using knemometry. However, knemometry does not correlate well with linear growth rate. Over periods of 6 months or more, height measured with stadiometry can provide a sufficiently precise measure called growth velocity. Finally, measurement of final adult height could be considered a gold standard -- however, other factors which may influence final adult height, especially height of parents, needs to be considered. Most studies of adult attained height use the height of both parents plus a correction factor for gender to calculate the predicted adult height. All studies that have used final adult height as an outcome are observational, and thus may have problems such as high loss to follow up, confounding by severity of asthma, and unmeasured oral corticosteroid use.
The most rigorous evidence on the effect of ICS on growth velocity comes from randomized clinical trials that used sufficiently precise growth measurement techniques and followed patients for sufficiently long periods of time (i.e., at least 1 year). A meta-analysis of such randomized clinical trials was recently published by Sharek and Bergman (2000) and will be reviewed in this evidence report in lieu of an original review of these data.
It should be noted that another meta-analysis by Allen, Mullen, and Mullen (1994) is commonly cited as evidence that attainment of expected adult height is not affected by ICS (National Heart, Blood, and Lung Institute, 1997). Examination of this analysis reveals that it does not assess adult height in most of the included studies, but measures attained height as compared to predicted height for a given age, mostly different childhood ages.
There are many potential laboratory measurements that could be used to assess different aspects of bone metabolism, but BMD would appear to be the best, because it can be quickly and reliably measured and is a very strong risk factor for the ultimate outcome of interest, fractures.
The problems of studying a potential adverse effect of ICS on BMD are very similar to those of studying the effect of ICS on growth. The duration of therapy and the interval for assessing BMD in clinical trials is usually very short. Evaluation of BMD in this setting results in differences in BMD that might be attributed to ICS, but may not be clinically relevant. Finally, physical activity might be affected by improved asthma treatment, which in turn has an effect on long-term changes in BMD.
Additionally complicating the matter is that BMD is constantly changing throughout life, increasing over time until early adulthood and then gradually declining, with accelerating decline in older ages. The effect of ICS on BMD may be different when the body is building up BMD at younger ages versus when BMD is generally declining at older ages. A subtle effect on BMD would not become clinically relevant until it was additive to other risk factors, such as age. Any effect possibly attributable to childhood use of ICS might be confounded by continued use of ICS into adulthood.
Oral corticosteroids are known to be associated with subcapsular cataracts. In children with chronic diseases taking high doses of oral corticosteroids, the prevalence of subcapsular cataracts has been noted to be between 21 and 38 percent (Tripathi, Kipp, Tripathi et al., 1992; Limaye, Pillai, and Tina, 1988). ICS could conceivably also cause cataracts either by systemic absorption or by direct contact during inhalation that might occur due to incorrect use of metered dose inhalers.
Prior research has suggested an association between ICS and cataracts among adults (Garbe, Suissa, and LeLorier, 1998, Cumming, Mitchell, and Leeder, 1997). In both studies, most cataracts occurred among the much older subjects, who could not have taken ICS as children because the drugs did not yet exist.
Thus, the question of the effect of childhood use of ICS on cataracts must necessarily be limited to effects on cataracts that occur during childhood up to early adulthood. Since the incidence of childhood cataracts is extremely low, and the expected effect of ICS is expected to be much lower than for oral corticosteroids, studies must be carefully evaluated for sufficient statistical power to study this outcome.
Ocular hypertension or glaucoma is another recognized adverse effect of topical ophthalmic corticosteroids. It occurs in 1 to 2 percent of persons above age 60. The condition in its early stages is asymptomatic and detected only by measuring intraocular pressure. An effect of sufficient size of ICS on intraocular pressure could be assessed in randomized clinical trials, because intraocular pressure can be easily and precisely measured as an additional outcome. However, if the effect is small or rare, then it would only be detectable in observational studies with sufficient statistical power such as a large case-control or cross-section study.
Two studies in older adults indicate a possible association between ICS and glaucoma (Garbe, LeLorier, Boivin et al., 1997; Mitchell, Cumming, and Mackey, 1999). These studies on adults may or may not be generalizable to children, because the baseline risk of glaucoma is very low in children.
Corticosteroids can cause hypothalamic-pituitary-adrenal (HPA)-axis suppression by reducing adrenocorticotropin (ACTH) production, via negative feedback, which in turn leads to a reduced cortisol secretion by the adrenal gland (Cave, Arlett, and Lee, 1999). Following prolonged systemic therapy, atrophy of the adrenal gland may result, resulting in subnormal response of the adrenal gland to ACTH stimulation. If severe enough, clinical symptoms can result when patients undergo stress or when corticosteroid doses are reduced.
There are three related but different phenomena that are potentially caused by ICS, that may occur independently or together, and in different degrees. Patients can show evidence of hypercortisolism or iatrogenic Cushing's, in which systemic absorption of the inhaled corticosteroid causes clinical symptoms associated with high cortisol levels, the excess being caused by the inhaled corticosteroid. Second, patients can show laboratory evidence of low cortisol levels, measured in various ways, due to the suppression of ACTH by systemic absorption of inhaled corticosteroid. Third, patients can show laboratory evidence of a subnormal response to ACTH stimulation, in that cortisol levels will not rise as high as they would normally.
Further complicating this area is the variety of tests that can be used to detect low cortisol or subnormal stimulation and the methods of analyzing the data. Cortisol can be measured by a single plasma level, multiple plasma levels over a day, or by measuring urinary cortisol over a day. Because "normal" values vary widely for all these tests, using the occurrence of abnormal values for analysis is an insensitive measure of function. Measuring change from baseline between groups is more sensitive, but then the clinical significance of any statistically significant difference is uncertain. The same problems hold for the stimulation tests. Varying the dose of the agent used to stimulate the adrenal gland can vary the sensitivity of the test, and different methods of analyzing the data can detect statistically significant differences of uncertain clinical significance.
Thus it is difficult to determine the clinical significance of any abnormal cortisol level or stimulation test without knowledge of clinical correlates of these abnormalities. The clinical presentation of iatrogenic Cushing's may or may not be accompanied by abnormal cortisol levels or abnormal stimulation tests.
Question 2: For patients with mild-moderate asthma, does early initiation of long-term controller therapy prevent progression of asthma?
Although the effectiveness of ICS in controlling symptoms of asthma and improving pulmonary function is unquestioned, an important question is whether ICS may modify the natural history of the disease. If the causal chain of events for some asthmatic patients is from inflammation to airway remodeling to irreversible airway obstruction, then anti-inflammatory medications may be able to prevent permanent declines in lung function. However, the question is whether there is evidence of a long-term benefit in terms of minimizing loss of lung function over time.
Except for the recently published Childhood Asthma Management Program (CAMP; Childhood Asthma Management Program Research Group, 2000a) study, none of the current studies cited to support this hypothesis were designed specifically to test this hypothesis. The logistics of carrying out clinical trials over sufficiently long periods of time to detect differences in asthma progression are extremely difficult. For observational cohort studies, assessments of asthma would be necessary at equivalent points in the patients' course of disease in order to adequately adjust for severity of asthma. Finally, appropriate measurements that assess changes in lung function or severity of asthma need to be obtained, versus measurements that merely assess the improvement in lung function noted when patients are initially started on ICS therapy.
Question 3: In patients with moderate asthma who are receiving ICS, does adding another long-term control agent improve outcomes?
Although ICS are recommended for patients with moderate and severe asthma, the desire to minimize corticosteroid dosage has led to consideration of use of combinations of drugs to treat these patients. Several classes of drugs can potentially be used in combination with ICS, including leukotriene antagonists, long-acting beta-2 agonists, and theophylline preparations. Patients who are successfully controlled with ICS alone may have equally effective control with a lower dose of ICS in combination with another medication.
Alternatively, patients who are inadequately controlled on a certain dose of ICS may achieve good control with the addition of another medication, rather than increasing the dose of corticosteroid. A limitation of the available literature is that studies of patients inadequately controlled on ICS did not demonstrate that patients prior to entering the study were taking the ICS consistently. Numerous studies have documented that adherence to ICS averages around 50 percent of doses prescribed (Kelloway, Wyatt, and Adlis, 1994; Sherman, Hutson, Baumstein et al., 2000) Nonetheless, ICS may not be uniformly effective in all patients; and among patients who are adherent and not well controlled on ICS, addition of other agents may increase symptom control and further reduce inflammation.
Question 4: Does addition of antibiotics to standard care improve the outcomes of treatment for acute exacerbation of asthma?
As stated in the NHLBI guidelines, antibiotics are not recommended for treatment of asthma exacerbations, but may be necessary for comorbid conditions (National Heart, Lung, and Blood Institute, 1997). According to the guidelines, bacterial respiratory tract infections are thought to contribute only infrequently to exacerbations of asthma, and antibiotics should be reserved for those patients with evidence of pneumonia, fever and purulent sputum, or evidence of bacterial sinusitis.
Although there is scant recent literature reporting the prevalence of use of antibiotics for asthma exacerbations, recent surveys of physicians seem to indicate that antibiotics may be overused in their management. A survey by Connolly, Murthy, Prescott et al. (1991) of Scottish physicians revealed that 43 to 83 percent of survey respondents believed that the risk of bacterial infection in asthma exacerbations was greater than 20 percent. The majority of respondents felt they frequently prescribed antibiotics for treatment of asthma. In a cross-national survey of physician practice, Lagerlov, Veninga, Muskova et al. (2000) report data that indicates that large proportions of physicians believe that asthma exacerbations are commonly associated with bacterial infection.
The role of bacterial infections in asthma etiology, severity, and exacerbation is currently not completely understood. Theories of bacterial involvement in asthma may be roughly differentiated by whether bacterial infections are a cause of asthma or a trigger for asthma exacerbations. According to some theories, infections such as chronic sinusitis and chlamydial infection may cause asthma and/or contribute to its severity (Cypcar, Stark, and Lemanske Jr., 1992). This aspect of bacterial infections and asthma will not be specifically addressed as part of this evidence report.
Others have investigated the role of bacterial infections not as causative agents of asthma, but as triggers for exacerbations among those with established asthma. This small body of research compares the frequency of bacterial and viral infections in acute exacerbations of asthma (MacIntosh, Ellis, Hoffman et al., 1973; Hudgel 1979; Nicholson, Kent, and Ireland, 1993; Johnston, Pattemore, Sanderson et al., 1996). These studies have reported that viral infection can be documented in up to half or more of acute asthma exacerbations, although some of these studies (Johnston, Pattemore, Sanderson et al., 1996; Nicholson, Kent, and Ireland, 1993) have included Chlamydia as a viral infection. Bacterial infections are less commonly associated with acute exacerbations as compared to viral infections in these studies, especially in children (Johnston, Pattemore, Sanderson et al., 1996). However, these studies do not rule out the possibility that a substantial proportion of asthma exacerbations are triggered by bacterial infections.
Even if bacterial infections, however defined, were demonstrated to be a trigger for asthma exacerbation in some cases, whether a routine diagnostic workup for bacterial infection should be done for all exacerbations has not been determined. It is unknown whether certain clinical criteria such as purulent or discolored sputum should be considered as presumptive evidence of bacterial infection, or whether additional diagnostic tests (e.g., cultures, gram stains) should be used to detect the presence of bacterial infection to direct antibiotic treatment.
Question 5a: Compared to medical management alone, does the use of a written asthma action plan improve outcomes, and Question 5b: Compared to a written action plan based on symptoms, does use of a written action plan based on peak flow monitoring improve outcomes?
The goal of self-management in asthma is to reduce morbidity through early recognition of signs and symptoms indicative of worsening of disease, and appropriate modification of asthma treatment to prevent and/or reverse deterioration in respiratory status. Self-management interventions have been widely promoted by health plans and specialty societies with the expectation that they will improve care. The 1997 NHLBI guidelines on treatment of asthma emphasize self-management activities as a crucial component of asthma care (National Heart, Lung, and Blood Institute, 1997). Within these recommendations, self-management programs can vary considerably. For example, among educational interventions, there is wide variability in the objectives of the programs, the duration and number of sessions, who delivers the educational sessions, the setting in which education is delivered, and the tools that are used for training (Sudre, Jacquemet, Uldry et al., 1999).
A relatively large body of literature has accumulated focusing on primarily the effect of asthma education interventions. Several literature syntheses of primary studies (Devine, 1996; Bernard-Bonnin, Stachenko, Bonin et al., 1995; Gibson, Coughlan, Wilson et al., 2000a) have been performed. These reviews have revealed mixed results. The Devine (1996) meta-analysis of 31 studies showed beneficial effects of such programs on a variety of outcomes, such as frequency of asthma attacks, PEF, functional status, adherence, use of as-needed medication, and utilization of medical services. The analysis by Bernard-Bonnin, Stachenko, Bonin et al. (1995), evaluating 23 randomized controlled trials on asthma self-management teaching programs showed little effect on the outcomes of asthma attacks, hospitalizations, emergency room (ER) visits, or school absenteeism. The analysis by Gibson, Coughlan, Wilson et al., (2000a) reviewed 11 such studies and found no effect for these limited education programs on hospitalizations, doctor visits, lung function, or medication use.
From this body of research, it is not possible to determine the impact of education alone on outcomes, nor is it possible to determine whether the impact depends on the type of educational program delivered, the type of recipient, or other specific factors. However, it is likely that educational interventions alone do not produce a large and consistent improvement in outcomes for the general population of asthmatics.
Other research studies have focused on the effect of interventions which include additional self-management activities in addition to education. This body of research shows a more consistent positive effect of self-management interventions on outcomes. A Cochrane collaboration systematic review of the effects of regular practitioner review and self-management education was completed by Gibson, Coughlan, Wilson et al. (2000b). A total of 24 controlled clinical trials were evaluated, and such programs were associated with a reduced rate of hospitalization (Odds Ratio [OR] 0.58, 95 percent Confidence Interval [CI] 0.38-0.88) and ER visits (OR 0.71, 95 percent CI 0.57-0.90).
Due to the multidimensional nature of asthma self-management interventions, it is not clear which specific components may contribute to improved outcomes. This evidence review will focus on two components, PFMs and written action plans, and whether they contribute to improved outcomes.
Peak flow meters are most commonly used in conjunction with a written action plan, indicating peak flow levels at which changes in medications and/or other interventions are triggered. Related to this, written action plans can be constructed such that triggers for change in management are either based on peak flow readings or on symptoms. Previous studies that have attempted to evaluate the utility of PFMs have not consistently demonstrated improvements in association with PFM use (Partridge, 1994; Ruffin and Pierce, 1994; Chee, 1998; National Heart, Lung, and Blood Institute, 1997). Furthermore, compliance with PFM use may be problematic. In a study of inner city asthmatics (Redline, Wright, Kattan et al., 1996), by the third week of PFM use in their study, readings were not being correctly recorded on more than 50 percent of days.
In attempting to determine the impact of specific components of multimodal disease management interventions, several challenges are present. First, isolating the specific effect of each component, such as PFM use, from the effect of other interventional components is difficult as disease management interventions are intended to be multifactorial. Second, relative to other interventions, such as optimization of medication regimens, the effect of self-management interventions is likely to be relatively small, particularly on outcomes such as lung function or symptom control. Therefore, trials of self-management interventions are prone to being underpowered, unless the researchers perform careful power calculations that include an accurate determination of the base rate for the outcomes and the expected impact of the intervention.
This report is the product of a systematic literature review of the evidence on five key questions related to the management of chronic asthma. These are: (1) whether chronic use of ICS improves long-term outcomes for children with mild-to-moderate asthma; and whether chronic use of ICS in children results in long-term adverse effects; (2) whether, for patients with mild-to-moderate asthma, early initiation of long-term control medication (i.e., ICS) prevents asthma progression; (3) whether, in patients with moderate asthma, adding other long-term controller medications (i.e., leukotriene modifiers, long-acting beta-agonists, or theophylline) to low-moderate dosages of ICS improves control or lowers ICS dosage; (4) whether adding antibiotics to standard care improves the outcomes of treatment for acute exacerbation of asthma; and (5) whether addition of a written asthma action plan to medical management alone improves outcomes; and whether a peak flow monitor-based plan is superior to a symptom-based plan.
The review of treatment-related adverse effects was limited to Key Questions 1 and 3. For Key Question 1, only data on long-term adverse effects in children are reported. In Key Question 3, the short-term adverse effects that were reported in those studies included in the evaluation of the addition of other medications to ICS are summarized.
This is a systematic review of published evidence; inclusion was limited to full length reports published in peer-reviewed medical journals. Articles published in the English language or published in a foreign language with English abstract were included in this systematic review. For assessment of efficacy outcomes, this systematic review was limited to controlled trials, as many characteristics of asthma patients (e.g., disease severity, treatment compliance, concurrent treatments) are likely to affect the outcomes of interest and thus, confound the interpretation of the effects of the specific treatment being evaluated. Most of the trials included in this systematic review were randomized, but nonrandomized controlled trials were also included. Uncontrolled studies were excluded from this review, except for the review of adverse effects due to ICS.
The protocol for this review was prospectively designed to define: study objectives; search strategy; patient populations of interest; study selection criteria and methods for determining study eligibility; outcomes of interest; data elements to be abstracted and methods for abstraction; and methods for study quality assessment.
A supplementary meta-analysis accompanies this systematic review. Meta-analyses of the addition of long-acting beta-agonists to either a fixed ICS dose, or to a standard ICS dose in comparison with an increased ICS dose alone were conducted for the following outcomes: FEV1 and PEF lung function outcomes; and beta-2 agonist usage. Other symptom-based outcomes, such as symptom-free days, and utilization outcomes, such as ER visits and hospital admissions, were abstracted and considered for meta-analysis. However, due to variability in reporting or lack of sufficient data, useful meta-analyses of these outcomes were not possible.
The development of the evidence report and supplementary analysis was subject to extensive expert review. A Technical Advisory Group (TAG) provided ongoing guidance on all phases of this project. In addition, a preliminary analysis of the evidence base for this report was reviewed by the Blue Cross and Blue Shield Association Technology Evaluation Center (TEC) Medical Advisory Panel (MAP). This interdisciplinary panel comprises experts in technology assessment methods and clinical research, and also includes managed care physicians from Blue Cross and Blue Shield and Kaiser Permanente health plans. The draft report was also reviewed by a panel of external reviewers that included experts and stakeholders. (Appendix A lists the members of the TAG, external expert reviewers, and the Blue Cross and Blue Shield Association TECMAP.)
The TAG included eight members. Stanley Szefler, M.D.; William Busse, M.D.; Noreen Clark, Ph.D.; William Kelly, Pharm.D.; and Romain Pauwels, M.D., Ph.D. are all nationally recognized experts in asthma treatment and/or clinical research, and were appointed by the NHLBI. Barbara P. Yawn, M.D., M.S., M.S.P.H. and Lee Albert Green, M.D., M.P.H. are clinicians with experience both in asthma and in evidence-based medicine/guideline development, and were appointed by the American Academy of Family Physicians (AAFP). Louis M. Mendelson, M.D., an expert in pediatric asthma, was appointed by the American Academy of Pediatrics (AAP).
In order to construct a balanced panel of peer reviewers, a broad-based mailing search was conducted to identify qualified reviewers. A total of 73 letters were sent to all asthma-related societies and consumer groups, device manufacturers, pharmaceutical companies, and other major professional groups with an interest in asthma. From the responses, a group of 15 peer reviewers was compiled, representing independent asthma experts and methodologists, together with appointees from major professional societies, consumer organizations and private industry. Four reviewers were invited by the TEC under the auspices of this task order for their expertise in pediatrics, asthma, and systematic review methodology. Eight of the external reviewers were appointed by professional organizations: the American Medical Association; American Lung Association; American College of Chest Physicians; American College of Emergency Physicians; American Society of Health-System Pharmacists; National Medical Association; American College of Asthma, Allergy and Immunology; and the AAP.
One external reviewer represents the National Institute of Allergy and Infectious Disease of the National Institutes of Health. Two external reviewers represent the pharmaceutical industry. One reviewer was from the technical staff of Aventis Pharmaceuticals Products Inc., (formerly Rhone-Poulenc Rorer), which markets Azmacort® (triamcinolone acetonide inhalation aerosol), which is "indicated in the maintenance treatment of asthma as prophylactic therapy." Another was from the technical staff of 3M Pharmaceuticals, which markets Maxair® (pirbuterol acetate inhalation aerosol), which is "indicated for the prevention and reversal of bronchospasm in patients 12 years of age and older with reversible bronchospasm including asthma" and QVAR® (beclomethasone dipropionate HFA inhalation aerosol), which is "indicated in the maintenance treatment of asthma as prophylactic therapy."
A comprehensive literature search was performed that attempted to identify all publications of relevant controlled trials (see "Selection Criteria, Types of Studies"). Both MEDLINE and EMBASE databases were searched. These online sources were searched for all articles published since 1980 that included at least one of the following textwords (tw) or Medical Subject Headings (MeSH®) terms in their titles, their abstracts, or their keyword lists:
Leukotriene antagonists (including all MeSH terms under this heading) OR zileuton (tw) OR montelukast (tw) OR zafirlukast (tw) OR cromolyn (tw) OR nedocromil (tw) OR theophylline (including all MeSH terms under this heading) OR albuterol(MeSH) OR albuterol(tw) OR salmeterol (tw) OR flunisolide (tw) OR fluticasone (tw) OR beclamethasone (tw) OR budesonide (tw) OR dexamethasone(tw) OR triamcinolone (tw) OR steroids (including all MeSH terms under this heading)
Adrenergic beta-agonists (including all MeSH terms under this heading) OR albuterol(tw) OR bitolterol(tw) OR isoetharine(tw) OR isoproterenol(tw) OR metaproterenol(tw) OR orciprenaline(MeSH) OR pirbuterol(tw) OR terbutaline(tw) OR ipratropium(tw) OR adrenal cortex hormones (including all MeSH terms under this heading)
(Peak expiratory flow rate(MeSH) OR (peak(tw) AND flow(tw)))
(Meter(tw) OR meters(tw) OR monitor(tw) OR monitors(tw) OR monitoring(tw))
(Action(tw) AND (plan(tw) OR plans(tw))) OR self care(MeSH) OR patient care planning (MeSH) OR patient participation(MeSH)
Beclomethasone(tw) OR budesonide(tw) OR dexamethasone(tw) OR flunisolide(tw) OR fluticasone(tw) OR triamcinolone(tw)
Leukotriene antagonists (including all MeSH terms under this heading) OR zileuton(tw) OR montelukast(tw) OR zafirlukast(tw)
Cromolyn(tw) OR nedocromil (tw)
Theophylline (including all MeSH terms under this heading)
Adrenergic beta-agonists (including all MeSH terms under this heading) OR orciprenaline (MeSH) OR albuterol(tw) OR bitolterol(tw) OR isoetharine(tw) OR isoproterenol(tw) OR metaproterenol(tw) OR pirbuterol(tw) OR terbutaline(tw) OR salmeterol(tw)
Antibiotics (including all MeSH terms under this heading)
The search results were then limited to include only those articles that were indexed under the MeSH® term asthma (including all MeSH terms under this heading) OR asthma (tw), that addressed studies on human subjects, and that were indexed under any of the following study design terms:
Clinical trials (including all MeSH terms under this heading) OR intervention studies (MeSH) OR double-blind method (MeSH) OR single-blind method (MeSH) OR placebos (MeSH) OR random allocation (MeSH)
Document type=controlled clinical trial OR document type=randomized controlled trial
Control? (truncated tw) OR placebo? (truncated tw) OR random? (truncated tw) OR blind? (truncated tw)
Cohort studies (MeSH)
Additional details on MEDLINE and EMBASE search strategies can be found in Appendix B. The MEDLINE and EMBASE databases were last searched in August 2000. Total retrieval through this date is 4,235 English and 343 non-English references.
To supplement the above strategy, the abstracts presented at the 2000 meeting of the American Thoracic Society also were searched. In addition, potentially relevant studies published before 1980 that were referenced in the post-1980 literature, or identified as key references by the TAG were retrieved and evaluated. Recently published articles were identified by TEC staff or by TAG members.
A total of 647 full-length journal articles in English were retrieved after the abstract review (see "Methods of the Review" in this chapter). Each study was initially assessed for potential to address any of the topics of interest, and reviewed against all potentially relevant study selection criteria. A further 21 articles in languages other than English but with an English language abstract, were also reviewed for possible inclusion. A total of 87 articles met the study selection criteria for inclusion in this systematic review.
Criteria that were specific to each key question were developed for selecting studies for inclusion in this review. Following is a summary of the criteria used for defining the types of participants, types of interventions and types of studies. In general, this systematic review was limited to comparative intervention trials that used a concurrent control group. However, as described in the following sections, observational studies were included for two questions: (1) immediate versus delayed corticosteroid use; and (2) adverse effects.
All patients included in this systematic review had persistent asthma requiring treatment. Where key questions addressed a population of a specified level of severity, judgements of severity level for study populations were based on the 1997 NHLBI guidelines (National Heart, Lung, and Blood Institute, 1997).
However, few if any studies used selection criteria that exactly matched specific NHLBI severity classifications. Many studies included lung function eligibility parameters that spanned two or more levels of severity. Few studies included symptom frequency, a major determinant of severity by the NHLBI system, as an eligibility criteria. As a result, the NHLBI criteria were grouped and/or modified in order to classify study populations into the following defined categories:
Limits defined as:
FEV1 >60 percent of predicted, PEF variability >20 percent; OR
symptoms >2x/week to daily; OR
nocturnal symptoms more than 2x/month; OR
population could not be classified into any of the above categories, but study appeared to address a population primarily consisting of mild to moderate asthmatics; OR
population was a mixed population where the majority appeared to be mild to moderate asthmatics.
Limits defined as:
FEV1 or PEF 60-80 percent predicted and PEF variability >30 percent; OR
daytime symptoms >1x day; OR
nocturnal symptoms >1x/week OR
exacerbations >2x per week, affecting activity; OR
daily use of inhaled short-acting beta-2 agonists; OR
population could not be classified into any of the above categories but study appeared to address a population primarily consisting of moderate asthmatics; OR
population was a mixed population where the majority appeared to be moderate asthmatics.
Results and Conclusions Parts 1, 2, and 3 of this evidence report address management issues for severity levels of either mild-to-moderate or moderate asthma. During initial evidence review topic formulation, these were identified as the populations for which information was most lacking. Studies that otherwise met inclusion criteria but evaluated populations of asthmatics that were primarily composed of severe asthmatics were, therefore, excluded from this review.
Where studies included a mixed population, results of the subgroup of interest to the key question were included when the study stratified at least 10 similarly treated asthma patients and reported baseline demographics for the stratified subgroup.
Where key questions addressed a pediatric population, the following inclusion criteria were applied:
studies that enrolled only patients <18 years of age; or
studies that stratified outcomes for patients <18 and reported baseline demographics for the stratified subgroup.
In addition, for retrospective studies of long-term adverse effects of ICS, studies were included that:
enrolled children and/or young adults up to the age of 40 years, and indicated that a substantial proportion of the study population had been treated as children with ICS for asthma.
Patients given standard care for exacerbation of asthma included the following populations: patients without signs and symptoms of a bacterial infection; patients with signs and symptoms of a bacterial infection; patients with signs and symptoms of sinusitis.
Except for investigation of long-term adverse events of ICS therapy, studies that compared the outcomes of managing asthma with the treatment of interest to an identified standard were required.
Studies that made any of the following comparisons were included:
ICS vs. placebo
ICS vs. no treatment control
ICS vs. an alternative medication for mild asthma (as-needed or long-acting beta-2 agonists, theophylline, mast-cell stabilizers [e.g., cromolyn, nedocromil], or combinations of these medications)
addition of ICS to usual care for mild asthma (as-needed or long-acting beta-2 agonists, theophylline, mast-cell stabilizers [e.g., cromolyn, nedocromil], or combinations of these medications).
studies making appropriate comparisons were limited to those for which the treatment duration was at least 12 weeks; and
were limited to those for which at least 90 percent of included patients had not been treated with other long-term control medications (leukotriene antagonists, long-acting beta-2 agonists, ICS) for at least 4 weeks prior to start of ICS.
Studies were included that:
reported on ICS treatment;
for which the treatment duration was at least 1 year.
Studies were included in which:
Some or all patients started long-term control medication during the study (ICS, leukotriene antagonists, cromolyn/nedocromil, or theophylline):
treatment group treated immediately following the diagnosis of asthma compared to a control group that received the same treatment after a period of delay; OR
population stratified by duration of asthma prior to initiation of long-term control medication and outcomes compared across the different strata;
Treatment duration was at least 1 year;
At the start of the study, no more than 10 percent of the population (a) were currently being treated with, or (b) had been continuously (>1 month) treated in the past with the long-term control medication being studied.
Studies were included in which:
Study comparisons included:
ICS alone to ICS plus leukotriene antagonists, or long-acting beta-2 agonists, or theophylline; OR
two different long-term control medications in patients on ICS; OR
the addition of an alternative medication to an increased dose of ICS for patients already on corticosteroids;
Treatment duration was at least 4 weeks;
At least 90 percent of patients in the study were on ICS or the subgroup of patients on ICS were analyzed separately and this subgroup otherwise met the eligibility criteria for this question;
Not more than 10 percent of the patients in the population or in the subgroup were on oral corticosteroids.
Studies were included in which standard care plus antibiotics was compared to standard care alone in the treatment of acute asthma exacerbations.
Standard care was defined as asthma medications; symptomatic relief medications such as decongestants and cough suppressants; and supportive care such as fluids and monitoring.
Studies were included if:
The intervention delivered in the study was a written action plan (based either on peak flow monitoring or symptoms) as defined by the following three components:
the patients were given a written algorithm;
the algorithm identified specific changes in symptoms or other clinical indicators that should trigger adjustments in medications; and
the algorithm provided specific instructions on how to adjust medications in response to such triggers.
Many publications lacked sufficient detail on the written asthma plan, so a brief survey was sent to the researchers of each article that was reviewed. If a study lacked sufficient detail for reviewers to determine whether a written action plan had been used, the survey response was used to make the determination.
The study compared:
medical management alone vs. medical management plus a written action plan; or
The use of a peak-flow meter based action plan plus medical management vs. a symptom based-action plan plus medical management.
Treatment duration was at least 12 weeks.
The intervention and control groups received the same treatment, except that:
the intervention group also received a written action plan; or
if both groups received a written action plan, in one group medication adjustments were triggered by symptoms and in the comparison group the trigger was peak flow readings; or
different schedules of peak flow monitoring were compared; or
the use of peak flow monitoring and/or written asthma plan for routine chronic management was compared to use for acute exacerbations.
Because delivery of a written action plan requires instruction to patients, 1 hour or less of patient education, instruction or training was considered to be integral to the action plan.
Studies were excluded if the comparison of interest was confounded by additional treatment components in the intervention group that were not provided to the control group.
Commonly occurring examples of such confounding of the effects of a written asthma plan were: optimization of medications in the intervention group only; or education programs of more than 1 hour in the intervention group only.
Full-length report in peer-reviewed medical journals.
Published in the English language; or published in a foreign language with English abstract.
Study reported outcomes relevant to this systematic review.
Where there were multiple reports of a single study, only the report judged to be most recent and complete, based on number of included patients and length of follow-up, was included.
If additional relevant outcomes were included in the duplicate reports, these data were abstracted and added to the data from the primary report with citation to the supplementary articles
Study design was a comparative or crossover clinical efficacy trial with a concurrent control group.
For studies of antibiotic therapy only, crossover design was excluded, since antibiotic therapy targets an acute exacerbation that cannot be reliably duplicated in a crossover design.
For studies of early compared to delayed initiation of long-term controller medication, prospective or retrospective cohort studies were also included, when patients were stratified by duration of asthma prior to long-term control medication use and outcomes compared across the different strata.
Reports on a group of at least 10 evaluable, similarly treated asthma patients per study arm.
Study design was a comparative clinical trial, cohort study, case control study, or cross-section study.
Reported on a group of at least 25 evaluable, similarly treated asthma patients per study arm.
For growth outcomes:
Studies of short-term growth were restricted to randomized clinical trials.
Studies of long-term growth were restricted to studies that assessed final attained adult height and controlled for confounding variables.
For subcapsular cataract, clinical series studies were also included.
For HPA axis function, studies also were included that used a pre-post single-arm design, where baseline HPA axis function was measured before initiation of ICS.
The study was a randomized controlled trial in which patients were randomly allocated to the intervention and control groups.
The study reported on a group of at least 25 evaluable, similarly treated asthma patients per study arm.
Studies were excluded if the study design did not include random allocation of subjects to study group. For example, a study that randomized physicians to offer or not offer a written action plan to patients was excluded.
Trials were included if they reported at least one of the following outcomes, each of which were compared and analyzed separately:
Lung function measures:
FEV1
PEF
Bronchial hyperresponsiveness
Patient (or family) reported symptom-based measures
frequency of symptoms (symptom-free days, percent of days with symptoms, percent of nights with symptoms)
symptom scores
frequency of acute exacerbations
frequency of nocturnal awakenings
overall or asthma-specific quality of life
Utilization parameters
hospitalizations
intensive care unit admissions
ER and urgent care visits
missed work and school days
Medication use outcomes
oral corticosteroid use
short-acting beta-2 agonist use
Treatment-related morbidity in children and adolescents
vertical growth
effect on bone mineralization and osteoporosis
-BMD
-fractures
suppression of HPA axis
-cortisol levels
-ACTH stimulation testing (i.e., cosyntropin stimulation)
ocular toxicity
-cataracts
-glaucoma
Treatment-related morbidity outcomes for studies that evaluated the addition of other medications to ICS:
headache
central nervous system (CNS) morbidity (e.g., seizures) and tremors
cardiac dysfunction
gastrointestinal (GI) dysfunction: dyspepsia, nausea, vomiting, diarrhea
upper respiratory infections and sinusitis
throat irritation, hoarseness, unpleasant taste
sleep disorders
hepatic toxicity
Data on adverse events were abstracted only from included studies that reported long-term adverse events for ICS use in children (Results and Conclusions, Part 1) and from included studies of the addition of treatment medication to continuing ICS therapy (Results and Conclusions, Part 3).
For each study arm, the numbers of enrolled patients experiencing specific adverse events were abstracted exactly as reported by study authors. No attempt was made to stratify according to severity, since few studies presented information on severity. If studies reported the total number of patients experiencing any adverse event, or experiencing asthma treatment-related adverse events, these data were also abstracted. Finally, the number of patients who dropped out of the study due to adverse events were abstracted separately from patients who dropped out due to disease progression or acute exacerbation. Where reported, results for these three parameters were compared between treatment arms within each study by chi-square or Fisher's exact test.
Individual adverse events were categorized in groups as described in the preceding section. Numbers of patients reported as experiencing individual adverse events were summed within each category. Because a single patient could be represented more than once in this summation, these results were only compared qualitatively for obvious differences between study arms.
Abstraction and analysis of data on adverse events present particular difficulties. The difficulties encountered in this project are representative of the general problem of the limitations of clinical trials as a source of data on adverse events. One well-recognized problem is that some adverse events may be so infrequent that clinical trials are not large enough to capture events that may be of concern when the treatment is used in the general population of patients. A second problem is inconsistency in how adverse events are reported and measured. Efforts to improve standards in reporting of randomized trials have emphasized the need for more thorough and systematic reporting of the spectrum of adverse effects for an intervention (McPeek, Gilbert, and Mosteller, 1980).
Study selection was a two-stage process. All abstracts were initially reviewed by one member of the study team. Any excluded abstracts were reviewed by a second member of the study team. If the second reviewer agreed that the abstract should be excluded, then the citation was excluded. If either reviewer indicated that the abstract should be included, the article was retrieved for full review against the formal study selection criteria.
The full-length journal articles for all included abstracts were reviewed independently by two researchers using the full-length journal article selection criteria for all topics of interest. Included articles were assigned to a topic(s) of interest; excluded articles were assigned a coded reason for exclusion. Where the two reviewers were in disagreement, a third review was performed by one of the authors of this report. If no consensus was reached following the third review, the article was discussed by the entire asthma study team and a consensus decision was reached. If substantial disagreement remained after review by the entire study team, the article was brought to the TAG, and consensus reached after consultation with TAG members. The resulting bibliography of included studies was circulated to the TAG for review for possible omissions.
The literature search identified 343 titles and/or abstracts of reports that had an English abstract but were published in languages other than English. Abstracts were reviewed according to the abstract selection criteria. From these, 21 full-length journal articles were retrieved for review. Publication languages included Japanese, Spanish, Danish, Polish, German, French, and Chinese. A translator was identified for each language, and the article was reviewed against the inclusion criteria by the translator with the assistance of one of the study reviewers. Of the 21 articles, two met study selection criteria and were included in this systematic review.
Two reviewers independently abstracted data from each eligible study, recording it with electronic database software (Microsoft® Access 97). The data elements that were abstracted are listed in the data abstraction forms. Data elements were grouped into the following broad categories: trial identifiers; study design and methods (including enrollment and withdrawal numbers); patient characteristics; lung function outcomes; symptom outcomes, medication outcomes, utilization outcomes, and adverse events. If an article did not report exact numerical values for one or more of the data elements, the reviewers estimated them from figures if they were available in the published reports.
Detailed printed directions for consistent data abstraction were provided to all reviewers. Initially, all reviewers abstracted a test set of three articles and reported and discussed results in detail with supervising staff. Reviewers were then divided into pairs and assigned papers for specific topics. After each pair of reviewers completed data abstraction, their databases were compared electronically. Because electronic comparison of the two databases revealed both substantive and nonsubstantive differences, it was not possible to quantify only the substantive differences. Nonsubstantive differences included differences in spelling, capitalization, wording, spacing, minor differences in estimation from graphs, and other discrepancies that were easily resolved. Substantive differences included errors in abstraction and differences in interpretation that were discussed and, in most cases, resolved by consensus of the two reviewers. In rare cases, discrepancies were resolved by a third reviewer. Frequent staff meetings allowed for discussion of common problems and further directions for consistent abstraction.
The objective of quality assessment for this systematic review was to identify a group of higher quality trials, for purposes of sensitivity analysis. The meta-analysis included a quantitative sensitivity analysis, and throughout this systematic review, qualitative sensitivity analyses have been included in study conclusion summaries. The sensitivity analyses compared the results reported and conclusions reached from all included studies to results and conclusions drawn by examining the outcomes of only higher-quality studies.
Sensitivity analysis based on study quality is useful because trials of lower quality generally overestimate the effectiveness of an intervention compared to higher quality trials. Approximately two decades ago, Chalmers and coworkers showed that randomized trials report smaller treatment effects than nonrandomized studies (Chalmers, Smith, Blackburn et al., 1981). Subsequently, many methodologists have attempted to identify the characteristics that define the quality of randomized trials, and to test whether such characteristics have an effect on study results (Schulz, Chalmers, Hayes et al., 1995). Recent analyses suggest that well-designed observational studies (using either a cohort or case-control design) may produce estimates of effectiveness that are comparable to randomized controlled trials (Concato, Shah, and Horwitz, 2000; Benson and Hartz, 2000). Nonetheless, experimental design using randomized controls remains the gold standard for studies of efficacy (Pocock and Elbourne, 2000).
Although many quality scales have been used to assess the quality of randomized controlled trials, there is a dearth of empirical evidence to validate such scales. Indeed, Juni and colleagues recently illustrated the hazards of using summary quality scores to select or pool studies for meta-analysis (Juni, Witschi, Bloch et al., 1999). They identified 25 different quality scales, which they tested for a meta-analysis of 17 trials comparing low molecular weight and standard heparin. No significant association between summary quality scores and treatment effects was found; and the results of different quality scales yielded different conclusions concerning which treatment was superior.
Although the use of quality summary scores is problematic, there are three domains of study quality that have been tested in empirical studies. These are: concealment of treatment allocation during randomization; double-blinding; and handling of withdrawals and exclusions. While there is evidence suggesting that these quality domains are associated with more valid estimates of treatment effects, not all domains have been reported as significant in all studies (Mulrow and Oxman, 1997; Schulz, Chalmers, Hayes et al., 1995; Juni, Witschi, Bloch et al., 1999; Moher, Pham, Jones et al., 1998). In an editorial accompanying the Juni study, Berlin and Rennie (1999) suggested that, to be clinically relevant, quality assessment of trials should focus on key aspects of research design relative to the outcomes of interest. Thus, where an outcome requires subjective judgement, for example, assessment of asthma symptoms, double-blinding may be of paramount importance. However, double-blinding may matter less for outcomes where there is little discretion regarding assessment or interpretation.
Moreover, assessment of study quality generally depends on information reported in journal articles, and the absence of such information may reflect incomplete reporting rather than flawed study design. This point is especially germane to studies published prior to the CONSORT (Consolidated Standards of Reporting Trials) statement, which was published in the Journal of the American Medical Association in 1996, in order to disseminate a standard for completeness of reporting in journal articles (Begg, Cho, Eastwood et al., 1996). As was the case in the prior evidence reports for the Agency for Healthcare Research and Quality (AHRQ) performed by this Evidence-based Practice Center, information on concealment of allocation was reported infrequently (Aronson, Seidenfeld, Samson et al., 1999; Aronson, Seidenfeld, Piper, et al., in press). This was found to be true of recent trials, and not confined to those papers published prior to the CONSORT statement.
To supplement the general study quality characteristics that have been validated in the literature, six asthma-specific quality indicators were also developed for purposes of sensitivity analysis. These were primarily study design features to control for confounders of treatment effect relevant to the clinical setting of asthma. These included: establishing reversibility of airway obstruction, controlling for other medication use, reporting compliance, and addressing seasonality. In addition, a priori reporting of power calculations and accounting for exclusions and withdrawals were judged to be study quality characteristics pertinent to this body of evidence. A limitation of the asthma-specific quality indicators is that they have not been validated. These indicators are based on the judgement of the authors of this evidence report in consultation with the TAG.
The definition for higher quality studies is applicable only to randomized controlled trials and excluded nonrandomized controlled trials and single-arm studies. It includes general quality indicators that have been shown to be associated with a bias in magnitude of effect, and asthma specific study features that control for potential confounders of outcomes.
To be defined as a higher quality study for purposes of sensitivity analysis, a trial needed to meet three general quality indicators:
The study was a double-blinded randomized controlled trial.
At least one of the following thresholds for minimizing exclusions from analysis was met:
Less than 10 percent of subjects within each study arm were excluded from the analysis AND the percentage of subjects excluded from analysis in each arm was less than a 2:1 ratio; OR
less than 5 percent of subjects were excluded in each study arm; OR
results were reported as an intention-to-treat analysis, i.e., all patients randomized to treatment were included in the endpoint analysis for the outcomes of interest.
Allocation of patients to treatment arms was concealed.
In the meta-analyses, additional sensitivity analyses for the effects of study quality were performed using modified criteria. The meta-analyses required at least three studies for pooling. As a result of the dearth of trials reporting concealment of treatment allocation, the initial attempt at sensitivity analysis for study quality failed to yield three studies that could be combined. As an alternative, two sensitivity analyses were conducted with modified criteria for defining higher quality studies. First, the general quality criteria were relaxed by dropping the requirement for concealment of allocation while simultaneously restricting to studies that reported a minimum of four of the six asthma-specific quality indicators. Second, the criteria were further relaxed by dropping the requirement for asthma-specific indicators. Thus, the most relaxed definition of higher quality studies required only that two general quality criteria be met: (1) double-blinding; and (2) meeting the predefined threshold for minimizing exclusions from analysis.
A study was classified as double-blinded if stated as such in the publication without further description of the method of blinding and if the study used a placebo. If a placebo was used, but there was no mention of double blinding, the study was classified as single-blinded. If a placebo was not used, or if there was no mention that a placebo was used, or if it was stated that the study was unblinded, the study was classified as unblinded.
"Excluded from the analysis" refers to all patients who were randomized to treatment in the study but were not included in the analysis of results. Subjects excluded from the analysis were those not included in the results for any reason, including: withdrawn after randomization, lost to followup, or with missing data. In the evidence tables, the number of excluded subjects for each study equals the number of enrolled (randomized) patients minus the number of evaluable patients.
Concealment of allocation addresses whether the initial allocation of patients to different treatment arms was concealed from the subjects and investigators and reported in the publication. According to the Cochrane Reviewer's Handbook (Version 3.0.2), "Using an appropriate method for preventing foreknowledge of treatment assignment is crucially important in trial design. When assessing a potential participant's eligibility for a trial, those who are recruiting participants and the participants themselves should remain unaware of the next assignment in the sequence until after the decision about eligibility has been made. Then, after assignment has been revealed, they should not be able to alter the assignment or the decision about eligibility."
Allocation concealment is distinct from the method of randomization and can be achieved in a number of ways including use of a central treatment assignment site, use of pharmacy-prepared and coded drugs, or use of preprepared opaque envelopes containing the treatment assignment if one of the onsite investigators is involved in assignment to treatment arms. Studies have shown that trials with clearly inadequate concealment allocation or with unclear allocation concealment due to lack of reporting may yield exaggerated estimates of treatment effect compared to trials with clearly adequate allocation concealment (Schulz, Chalmers Hayes et al., 1995).
To supplement the general study quality characteristics that have been validated in the literature, six asthma specific quality indicators were developed, which were based on the rationale described.
Power calculations
The reporting of power calculations performed a priori indicates that the researchers prospectively determined both the primary outcome(s) of interest and the magnitude of effect considered clinically meaningful for those outcomes. The clinical setting of asthma offers a variety of potential outcomes, and various ways of reporting these outcomes. The inclusion of formal power calculations performed a priori reduces the potential for selective reporting of outcomes.
Accounted for excluded patients
Adequate accounting for excluded patients allows a more complete determination of whether dropouts differ by treatment arm. If patients drop out from each arm for substantially different reasons, then the likelihood of withdrawal bias is increased. For example, it is possible for a much larger number of dropouts to occur in the control group compared to the treatment group due to lack of efficacy, especially when the control group receives a placebo or no treatment.
Established reversibility of airway obstruction
Establishing reversibility of airway obstruction is the standard approach to differentiating asthma from chronic obstructive pulmonary disease (COPD). Studies of adult patients that do not establish reversibility as an eligibility criteria for study entry may include a substantial proportion of patients with predominant COPD. The inclusion of such patients would confound study results, as they may respond to asthma treatment differently.
Controlled for other medication use
Patients who enter asthma clinical trials may be receiving a variety of medications in addition to the study medication. The impact of these other medications may confound study results by a direct effect on the signs and symptoms of asthma, or through interaction with the study medication.
Reported compliance
The rate of compliance in a clinical trial may affect the magnitude of effect observed. Also, the effectiveness of medications in clinical practice depends on the patient's compliance with treatment. Reporting the rates of compliance indicates whether the observed treatment effect may be biased by noncompliance, and how likely patients will comply with the treatment in the clinical setting.
Addressed seasonality
The clinical expression of asthma will often vary by season. If patients are enrolled over a period of time that spans several seasons, there is the possibility that seasonality will affect eligibility for the study, baseline lung function and symptom parameters, and outcome measurements. Thus, results observed may be confounded by seasonal effects, rather than measuring actual treatment effects.
As a separate issue from assessment of study quality, the included trials were classified by source of research support. Using the acknowledgements of support or provision of study drug in published papers from each study and/or institutional affiliation of authors, the trials were categorized as having been funded by one of the following:
research grants from government or other nonprofit agencies only;
research grants from pharmaceutical manufacturers only;
supplies from pharmaceutical manufacturers only;
pharmaceutical manufacturers and nonprofit agency support; or
no sponsorship reported.
Meta-analyses of the following outcomes were conducted:
Lung function outcomes: FEV1, PEF
Puffs per day of short-acting beta-2 agonist
A minimum of three studies for each meta-analysis was required. Not all studies included in this systematic review reported all outcomes of interest, nor did all studies report each outcome in similar, combinable ways. Thus, not all included studies were used for each meta-analysis. However, there is no indication that outcomes not reported, or methods of reporting differed systematically among studies; thus, meta-analysis results should not be biased by selective reporting of outcomes among the included studies.
FEV1 and PEF can either be reported as absolute measures (liters and liters per minute, respectively) or as a percentage of the predicted value for age, sex, height, and race based on published standards. FEV1 can be measured before or after administration of a bronchodilator. Such variability in reporting makes it difficult to directly combine reported results in a meta-analysis. A general method for combining studies with continuous outcome measures based on different scales is the method of effect sizes. Several authors have described this method (Cohen, 1977, Rosenthal and Rubin, 1979; Glass, 1980; Hedges, 1981; Rosenthal, 1984; Hedges and Olkin, 1985). The effect size of an experiment, d, is defined as:
d=(MT - Mc) / S, (1)
where Mt and Mc are the sample means of the treated and control arms respectively and S is the estimated standard deviation (SD) of the population. S could be the SD in the control arm, or it could be a pooled estimate.
Assuming a normal distribution for the individual observations with equal variances in each arm of the experiment, the pooled estimate of S is given by:
where St2 is the sample variance of the treated arm, and Sc2 is the sample variance of the control arm. Effect sizes are in units of SD and do not express effect in the outcomes scale used in the study for clinical measurement. However, effect size can be converted to clinical units that indicate treatment effect by multiplying effect size by the pooled SD, S.
The variance of d is:
where n1 and n2 are the sizes of the samples from the two subpopulations (Hedges and Olkin, 1985).
For lung function outcomes in each reporting study, the effect size was calculated for the response variable of difference from baseline in each study arm. In some studies, the information reported was insufficient for the direct calculation of effect size. For example, the SD of the difference value was not always available. However, where an appropriate test of significance was reported (e.g., analysis of variance), effect size was estimated using the published p-value and the difference from baseline (Rosenthal, 1994). When the p-value was reported as less than an upper limit, that upper limit was used to generate a conservative estimate of effect size (e.g., 0.001 when reported as <0.001). Upper limits as large as 0.05 were not used. When reported as within a range, the midpoint of the range was used (e.g., 0.025 for 0.05<p<0.01).
In some cases, the only available information was mean and SD or standard error of baseline and final values, with no p-value specified. If SDs or standard errors were not reported but were shown as error bars on graphs and could be reasonably estimated, these were included. For these studies, direct calculation of effect size would be inaccurate due to an overestimate of the variances, since the pre- and post-treatment values are related, but the correlation coefficient is unknown. Studies that reported sufficient data to calculate the effect size by pre- and post-treatment values as well as by other methods were used to estimate a correction factor. For studies that reported only pre- and post-treatment means and SDs or standard errors, the correction factor was applied to the SDs or standard errors before calculating the effect size (for details, see "Meta-Analysis Technical Supplement" at the end of this chapter).
In combining the calculated effect sizes, results were first calculated for subsets of studies reporting lung function outcomes in like units, i.e., liters (L) and percent predicted for FEV1, and liters per minute and percent predicted for PEF. Then effect sizes for all relevant studies were combined. (See Evidence and Meta-Analysis Tables 3-1 through 3-21.)
Pooled SD values were calculated from several studies for both liters and percent predicted for FEV1, and for liters per minute and percent predicted for PEF. These values were used to convert effect sizes to treatment effect values (difference in change from baseline between study arms) for both lung function outcomes (for details, see "Meta-Analysis Technical Supplement" at the end of this chapter).
Most studies reporting short-acting beta-2 agonist use did so using units of puffs per day. These results were combined directly as differences in change from baseline between study arms, without converting to effect size.
For each meta-analysis, a test for homogeneity was carried out according to DerSimonian and Laird (1986).
Most meta-analyses are performed on a group of studies with a common endpoint. The assumption is often made that these studies all estimate the same parameter, such as an odds ratio, and the analysis is referred to as a fixed-effects analysis. The opposite of a fixed-effects model is a random effects model. The random-effects model produces estimates that are more conservative than fixed-effects models. The idea of a random-effects model is that the parameter sampled does not remain constant from study to study. Instead, it varies randomly, and is, in fact, a random variable sampled from some distribution. The problem then is to estimate the center of the distribution of the parameter of interest, and the variance of the distribution. This methodology is especially appropriate for studies of asthma therapy because of the differences in medication dose, disease severity, length of followup, and study quality in each study.
Random-effects models differ from fixed-effects models in that a measure, v, of the variation between studies is included in computation of the total uncertainty used to compute weights for each estimate. One conventional measure of v is:
where X2 is the usual chi-squared measure of heterogeneity for the m studies and where wj = 1 / vj, and vj is the variance of the estimated odds ratio from study j. If the value of v is computed to be negative, it is usually set to zero. The random effects weighted mean odds ratio is:
where
j is the estimated odds ratio from study j, and wj* = 1/[vj + v]. The variance of the weighted mean odds ratio in the random effects model is
Since v is usually larger than zero, each wj* is usually larger than the corresponding fixed effects weight wj, and so the variance of the random effects weighted mean is usually larger than the variance of the fixed effects weighted mean. There are several methods for obtaining estimates of v, including some described by DerSimonian and Laird (1986) and Hedges and Olkin (1985). The method described by Hedges and Olkin (1985) is an empirical Bayes estimator, and is the one used in this analysis. This particular estimator works well for as few as two studies, and if the studies are homogeneous, the estimates approach those of the fixed-effects model. The calculations were carried out using the FAST*PRO software as described by Eddy and Hasselblad (1992).
In some cases, outcomes were reported only as mean and SD or standard error (SE) of baseline and final values, with no p-value specified. For these studies, direct calculation of effect size would be inaccurate due to an overestimate of the variances, since the pre- and post-treatment values are related, but the correlation coefficient is unknown. A correction factor for FEV1 pre- and post-treatment SDs or SEs was estimated as follows:
The true SE was estimated from Boyd (1995), in two ways. From the confidence interval of the treatment effect, SE = 0.080. From the F-value, SE = 0.090. Thus, on average, SE=0.085. The value calculated from pre- and post-treatment means and variances is 0.146. Thus SE or SD from pre- and post-treatment means and variances must be multiplied by 0.58 to get the correct value.
From the van der Molen, Postma, Turner et al., (1997), study, the true SE estimated from the confidence interval of the treatment effect, is 0.050. The value calculated from pre- and post-treatment means and variances is 0.113. Thus, SE or SD from pre- and post-treatment means must be multiplied by 0.44 to get the correct value.
The correction factor was averaged to approximately 0.5 and applied to the SDs or SEs of those studies for which effect size was calculated using pre- and post-treatment data (FitzGerald, Chapman, Della Cioppa et al., 1999; Boulet, Cartier, and Milot, 1998; Grutters, Brinkman, and Aslander, 1999; Li, Ward, Thien et al., 1999; McIvor, Pizzichini, Turner et al., 1998; Pauwels, Lofdahl, Postma et al., 1997; Bouros, Bachlitzanakis, Kottakis et al., 1999; Kips, O'Connor, Inman et al., 2000).
Similar calculations were carried out for PEF, using data from studies by Boyd (1995), and Bouros, Bachlitzanakis, Kottakis et al. (1999). Estimates of the correction factor were 0.37 and 0.26, respectively. A conservative SD/SE correction factor of 0.5 was applied to calculations of effect size from two small studies by Li, Ward, Thien et al. (1999) and McIvor, Pizzichini, Turner et al. (1998).
Effect sizes are unitless and not clinically meaningful. However, they can be converted to clinical units by multiplying by a pooled SD of the change from baseline parameter reported in the desired units. Pooled SD values were calculated from hseveral studies that reported applicable data for both liters and percent predicted for FEV1, and for liters per minute and percent predicted for PEF as follows:
Pooled SD for FEV1 in liters calculated from Kavuru, Melamed, Gross et al. (2000), Condemi, Goldstein, Kalberg et al. (1999), and Murray, Church, Anderson et al. (1999) was 0.521.
Pooled SD for FEV1 as percent predicted calculated from Cluzel, Bousquet, Daures et al. (1990), Grossman (1988), and Baraniuk, Murray, Nathan et al. (1999) was 11.1.
Pooled SD for PEF in liters per minute calculated from Aubier, Pieters, Schlosser et al. (1999), Nielsen, Pedersen, Faurschou et al. (1999), Pearlman, Stricker, Weinstein et al. (1999), Greening, Ind, Northfield et al. (1994), Kelsen, Church, Gillman et al. (1999), and Tamaoki, Kondo, Sakai et al. (1997) was 42.5.
Pooled SD for PEF as percent predicted calculated from Shapiro, Lumry, Wolfe et al. (2000) and Baraniuk, Murray, Nathan et al. (1999) was 12.5.
Key Question 1a. Does chronic use of ICS improve long-term outcomes for children with mild-to-moderate asthma, compared to:
"as needed" beta-2 agonists
long-acting beta-2 agonists
theophylline
cromolyn/nedocromil
combinations of above drugs
This question addresses long-term outcomes of ICS treatment. Outcomes of primary interest are those that indicate the progression of underlying disease; short-term measures of symptom control cannot adequately address this question. Of the available measures, longitudinal measurement of postbronchodilator FEV1 provides the best indicator of long-term progression of asthma (Childhood Asthma Management Program Research Group, 1999). Prebronchodilator FEV1 and PEF can also indicate long-term progression, but both are more subject to short-term changes in control and, of the two, PEF is the more variable measure.
Other outcome measures, such as symptoms, medication use, and utilization measures, are also likely to correlate with long-term progression of disease over time, but are highly subject to changes in short-term control of bronchospasm. The review of evidence for this question includes the various outcomes reflecting both short-term control and long-term progression of disease. However, the primary outcomes of interest will be lung function measurements, with postbronchodilator FEV1 being the preferred measure. (See Evidence Tables 1-1 through 1-10.)
| ICS vs. No ICS | |||||||||||
| Children older than 5 years | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a Randomized, parallel arm, double-blinded, placebo- controlled trial | Placebo | 418/411 | 9 +/− 2.2 | mild-mod | 224 | X | X | X | X | X | |
| BUD | 311/306 | 9 +/− 2.1 | mild-mod | 224 | X | X | X | X | X | ||
| Jonasson, Carlsen, Blomqvist et al., 1998 - Randomized, parallel arm, double-blinded, placebo- controlled trial | Placebo | 40/40 | 9.6 | mild | 12 | X | X | X | X | Not stated how patients with moderate/severe asthma were excluded | |
| BUD 1 | 40/40 | 10.2 | mild | 12 | X | X | X | X | |||
| BUD 2 | 42/42 | 10.0 | mild | 12 | X | X | X | X | |||
| BUD 3 | 41/41 | 9.8 | mild | 12 | X | X | X | X | |||
| Simons, 1997 - Randomized, parallel arm, double-blinded, placebo- controlled trial | Placebo | 55/52 | 9.5 +/− 2.4 | mild-mod | 52 | X | X | X | X | X | |
| BDP | 8167 | 9.6 +/− 2.6 | mild-mod | 52 | X | X | X | X | X | ||
| Hoekstra, Grol, Hovenga, et al., 1998 - Randomized, parallel arm, double-blinded, placebo- controlled trial | placebo | 19/15 | 11 +/− 1.8 | mild-mod | 12 | X | X | X | |||
| FP | 15/25 | 10.6 +/− 1.8 | mild-mod | 12 | X | X | X | ||||
| Agertoft and Pedersen, 1994 - Parallel-arm controlled trial | placebo | 62/NR | 6.1 | mild-severe | 270.4 (mean) | X | X | Control patients were those patients who declined recommendation to take ICS. ICS-free period after diagnosis is referred to as the run-in period, equal to at least 1 year. | |||
| BUD | 216/NR | 6.2 | mild-severe | 192.4 (mean) | X | X | |||||
| van Essen-Zandvliet, Hughes, Waalkens, et al., 1992 - Randomized, parallel arm, double-blinded, placebo- controlled trial | placebo | 58/17 | 10.9 +/− 1.9 | mild-severe | 95.3 (median) | X | X | X | X | Pharmaceutical company supplied study medication. | |
| BUD | 58/29 | 11 +/− 1.9 | mild-severe | 95.3 (median) | X | X | X | X | |||
| Children younger than 5 years | |||||||||||
| Storr, Lenney and Lenney, 1986 - Randomized, parallel arm, double-blinded, placebo- controlled trial | placebo | 14/13 | 3.4 +/− 1.5 | unable to estimate | 26 | X | Study took place over an 18 month period in an attempt to eliminate seasonal bias. | ||||
| BDP | 15/15 | 3.6 +/− 1.2 | unable to estimate | 26 | X | ||||||
| Connett, Warde, Wooler, et al., 1993 - Randomized, parallel arm, double-blinded, placebo- controlled trial | placebo | 20/19 | 1.9 +/− 0.5 | unable to estimate | 26 | X | X | Patients treated for up to 6 months, included in analysis if treated at least 5 weeks. Study medication adjusted to between 200-400 mcg 2x/day budesonide or 1-2 puffs 2x/day placebo depending on clinical need. | |||
| BUD | 20/17 | 1.7 +/− 0.6 | unable to estimate | 26 | X | X | |||||
| ICS vs. Long-Acting Beta-2 Agonists | |||||||||||
| Verberne, Frost, Roorda et al., 1997 - Randomized, parallel arm, double-blinded, controlled trial | salmeterol | 32/25 | 10.6 +/− 2.9 | mild-mod | 48 | X | X | X | |||
| BDP | 35/32 | 10.5 +/− 2.3 | mild-mod | 48 | X | X | X | ||||
| Simons, 1997 - Randomized, parallel arm, double-blinded, placebo- controlled trial | BDP | 81/67 | 9.6 +/− 2.6 | mild-mod | 52 | X | X | X | X | ||
| salmeterol | 80/58 | 8.8 +/− 2.1 | mild-mod | 52 | X | X | X | X | |||
| ICS vs. Theophylline | |||||||||||
| Tinkelman, Reed, Nelson, et al., 1993 - Randomized, parallel arm, double-blinded, placebo- controlled trial | Theo | 93/69 | 11.9 +/− 2.8 | mild-severe | 36 | X | X | X | X | X | |
| BDP | 102/76 | 11.9 +/− 2.7 | mild-severe | 36 | X | X | X | X | X | ||
| ICS vs. Nedocromil | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a Randomized, parallel arm, double-blinded, placebo- controlled trial | placebo | 418/411 | 9 +/− 2.2 | mild-mod | 224 | X | X | X | X | X | |
| BUD | 311/306 | 9 +/− 2.1 | mild-mod | 224 | X | X | X | X | X | ||
"X" in a column = outcome reported
| ICS vs. No ICS | |||||||||||
| Children older than 5 years | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | 0.9% predicted (prebronchodilator) −0.1% predicted (postbronchodilator) | 132 L/min | 1.9 (ratio of f/u to baseline values) | ||||||
| BUD | 311/306 | 2.9% predicted (prebronchodilator) 0.6% predicted (postbronchodilator) | 2.0% predicted 0.7% predicted | 0.02 NS | 131 L/min | −1 L/min | NS | 3.0 | 1.1 | <0.001 | |
| Jonasson, Carlsen, Blomqvist et al., 1998 | placebo | 40/40 | NR | ||||||||
| BUD 1 | 40/40 | NR | 5.2% predicted | 0.008 | NR | 5.8 L/min | NS | 156% | 0.04 | ||
| BUD 2 | 42/42 | NR | NR | NS | NR | 2.9 L/min | NS | 107% | NS | ||
| BUD 3 | 41/41 | NR | NR | NS | NR | 3.0 L/min | NS | 121% | NS | ||
| Simons, 1997 | placebo | 55/52 | 5% predicted | 25 L/min | 0.57 mg/mL methacholine | ||||||
| BDP | 8167 | 10% predicted | 5% predicted | 0.001 | 35 L/min | 10 L/min | 0.02 | 1.37 mg/mL methacholine | 0.80 mg/mL methacholine | 0.004 | |
| Hoekstra, Grol, Hovenga, et al., 1998 | placebo | 19/15 | 2% predicted | 18 L/min | 1.03 doubling dose | ||||||
| FP | 15/25 | 9% predicted | 7% predicted | <0.05 | 43 L/min | 28 L/min | 0.0003 | 1.98 doubling dose | 0.95 doubling dose | 0.015 | |
| Agertoft and Pedersen, 1994 | placebo | 62/NR | 5.5% predicted | NR | NR | ||||||
| BUD | 216/NR | 20.3% predicted | 14.8% predicted | <0.001 | NR | NR | NR | ||||
| van Essen-Zandvliet, Hughes, Waalkens, et al., 1992 | placebo | 58/17 | 1.3% predicted (prebronchodilator) −0.5% predicted (postbronchodilator) | 67 L/min | 3.5 mcg histamine | ||||||
| BUD | 58/29 | 11.3% predicted (prebronchodilator) 5.4% predicted (postbronchodilator) | 10.0% predicted 5.9% predicted | NR a NR a | 93 L/min | 26 L/min | NR a | 58.5 mcg histamine | 55 mcg histamine | <0.0001 | |
| Children younger than 5 years | |||||||||||
| Storr, Lenney and Lenney, 1986 | placebo | 14/13 | NR | NR | NR | ||||||
| BDP | 15/15 | NR | NR | NR | |||||||
| Connett, Warde, Wooler, et al., 1993 | placebo | 20/19 | NR | NR | NR | ||||||
| BUD | 20/17 | NR | NR | NR | |||||||
| ICS vs. Long-Acting Beta-2 Agonists | |||||||||||
| Verberne, Frost, Roorda et al., 1997 | salmeterol | 32/25 | −2.6% predicted (prebronchodilator) −3.3% predicted (postbronchodilator) | 48.8 L/min | 2.02 doubling doses | ||||||
| BDP | 35/32 | 8.7% predicted (prebronchodilator) 3.3% predicted (postbronchodilator) | 11.3% predicted 6.6% predicted | <0.0001 =0.007 | 60.9 L/min | 12.1 L/min | NS | −0.73 doubling doses | 2.75 doubling doses | <0.0001 | |
| Simons, 1997 | BDP | 81/67 | 10% predicted | 41 L/min | −6 L/min | NR | 2.2 mg/mL methacholine | 0.6mg/mL methacholine | 0.004 | ||
| salmeterol | 80/58 | 10% predicted | 0% predicted | NR | 35 L/min | 1.6 mg/mL methacholine | |||||
| ICS vs. Theophylline | |||||||||||
| Tinkelman, Reed, Nelson, et al., 1993 | Theo | 93/69 | 12.8% predicted (prebronchodilator) −2.0% predicted (postbronchodilator) | 2% pred | 3.70 mcg/mL methacholine | ||||||
| BDP | 102/76 | 10.9% predicted (prebronchodilator) −1.0% predicted (postbronchodilator) | 1.9% predicted −1.0% predicted | NS NS | 6% pred | 4% pred | NS | 9.04 mcg/mL methacholine | 5.34 mcg/mL methacholine | NS | |
| Nedocromil vs. Placebo | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | 0.9% pred (prebronchodilator) −0.1% pred (postbronchodilator) | 132 L/min | 1.9 (ratio of f/u to baseline values) | ||||||
| nedocromil | 311/306 | 0.4% pred (prebronchodilator) −0.5% pred (postbronchodilator) | −0.5% pred −0.4% pred | NS NS | 131 L/min | −1 L/min | NS | 1.8 (ratio of f/u to baseline values) | −0.1 | NS | |
Statistical tests not reported for final time points. Significant differences between treatment and control groups at intermediate time points.
| ICS vs. No ICS | ||||||||
| Children older than 5 years | ||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | −0.37 (0-3 scale) | 9.3 episode-free days/month | ||||
| BUD | 311/306 | −0.44 (0-3 scale) | −0.07 | 0.005 | 11.3 episode-free days/month | 2.0 episode-free days/month | 0.01 | |
| Jonasson, Carlsen, Blomqvist et al., 1998 | placebo | 40/40 | NR | NR | ||||
| BUD 1 | 40/40 | NR | NR | NS | NR | NR | ||
| BUD 2 | 42/42 | NR | −0.11 b (0-3 scale) | 0.047 | NR | −0.11 nights/wk without symptoms | 0.047 | |
| BUD 3 | 41/41 | NR | NR | NS | NR | NR | ||
| Simons, 1997 | placebo | 55/52 | NR | NR | ||||
| BDP | 8167 | NR | NR | 0% % symptom free nights | NS | |||
| Hoekstra, Grol, Hovenga, et al., 1998 | placebo | 19/15 | 1.36 (0-32 scale) | NR | ||||
| FP | 15/25 | 1.28 (0-36 scale) | −0.08 | NS | NR | |||
| Agertoft and Pedersen, 1994 | placebo | 62/NR | NR | NR | ||||
| BUD | 216/NR | NR | NR | |||||
| van Essen-Zandvliet, Hughes, Waalkens, et al., 1992 | placebo | 58/17 | NR | 0 days/week with symptoms | ||||
| BUD | 58/29 | NR | −2 days/week with symptoms | −2 | NS | |||
| Children younger than 5 years | ||||||||
| Storr, Lenney and Lenney, 1986 | placebo | 14/13 | 0.33 b (0-3 scale) 0.35 b,c (0-3 scale) | 75% symptom-free days a 74% symptom-free nights a | ||||
| BDP | 15/15 | 0.26 b (0-3 scale) 0.26b,c (0-3 scale) | −0.07 0.09 | <0.05 <0.05 | 79% symptom-free days a 80% symptom-free nights a | 4% 6% | NS NS | |
| Connett, Warde, Wooler, et al., 1993 | placebo | 20/19 | 0.05 (0-2 scale) 0.07 c (0-2 scale) | 31% symptom-free days b | ||||
| BUD | 20/17 | −0.5 (0-2 scale) −0.4 c (0-2 scale) | −0.45 −0.33 | <0.03 <0.05 | 54% symptom-free days b | 23% | <0.0001 | |
| ICS vs. Long-Acting Beta-2 Agonists | ||||||||
| Verberne, Frost, Roorda et al., 1997 | salmeterol | 32/25 | Days/wk with symptoms, 3 | % pts with no symptoms, 36 | Nights/week with symptoms, 3.5 | |||
| BDP | 35/32 | Days/wk with symptoms, 3 | % pts with no symptoms, 55 | Nights/week with symptoms, 3 | ||||
| Simons, 1997 | BDP | 81/67 | %Rescue-free days, 92 | <0.0010 d | %Symptom-free nights, 99 | NS | ||
| salmeterol | 80/58 | %Rescue-free days, 88 | NS d | %Symptom-free nights, 99 | NS | |||
| ICS vs. Theophylline | ||||||||
| Tinkelman, Reed, Nelson, et al., 1993 | Theo | 93/69 | % patients with sx score >4, 55.4 | % pts with score > 4, 25.8 | ||||
| BDP | 102/76 | % patients with sx score >4, 54.9 | % pts with score > 4, 37.3 | NS d | ||||
| Nedocromil vs. Placebo | ||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | −0.37 (0-3 scale) | 9.3 episode free days/month | ||||
| nedocromil | 311/306 | −0.38 (0-3 scale) | 0.01 | NS | 9.3 episode free days/month | 0 | NS | |
Daytime symptom score unless otherwise indicated
Change not reported. Values represent final absolute values, p value represents comparison of absolute values.
Nighttime score
Statistical significance determined by comparing the absolute change in outcomes from baseline to final time point between groups
| ICS vs. No ICS | |||||||||||
| Children older than 5 years | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | −5.3 puffs/week | 122 courses/100 pt-years | 4.4 hospitalizations/100 pt-years 22 urgent care visits/100 pt-years | ||||||
| BUD | 311/306 | −7.4 puffs/week | −2.1 puffs/week | <0.001 | 70 courses/100 pt-years | 52 courses/100 pt-years | <0.001 | 2.5 hospitalizations/100 pt-years 12 urgent care visits/100 pt-years | 1.9 hospitalizations/100 pt-years 10 urgent care visits/100 pt-years | 0.04 <0.001 | |
| Jonasson, Carlsen, Blomqvist et al., 1998 | placebo | 40/40 | NR | ||||||||
| BUD 1 | 40/40 | NS | NR | ||||||||
| BUD 2 | 42/42 | NS | NR | ||||||||
| BUD 3 | 41/41 | NS | NR | ||||||||
| Simons, 1997 | placebo | 55/52 | 83% rescue-free days a | 17 total courses | NR | ||||||
| BDP | 8167 | 92% rescue-free days a | 9% rescue-free days | <0.001 | 10 total courses | 7 courses | NR | NR | |||
| Hoekstra, Grol, Hovenga, et al., 1998 | placebo | 19/15 | NR | NR | |||||||
| FP | 15/25 | NR | NR | ||||||||
| Agertoft and Pedersen, 1994 | placebo | 62/NR | NR | 0.03 hospitali-zations/pt/yr | |||||||
| BUD | 216/NR | NR | 0.0041 hospitali-zations/pt/yr | 0.026 hospitali-zations/pt/yr | <0.001 | ||||||
| van Essen-Zandvliet, Hughes, Waalkens, et al., 1992 | placebo | 58/17 | 15% increase in pts using no beta agonist | 48% of pts used oral steroids | 3 total hospitalizations | ||||||
| BUD | 58/29 | 22% increase in pts using no beta agonist | 7% pts using no beta agonist | NS | 14% of pts used oral steroids | 34% | <0.001 | 0 total hospitalizations | 3 total hospitalizations | NR | |
| Children Younger than 5 years | |||||||||||
| Storr, Lenney and Lenney, 1986 | placebo | 14/13 | 0.98 puffs/day a | NR | |||||||
| BDP | 15/15 | 0.52 puffs/day a | 0.47 puffs/day | <0.05 | NR | ||||||
| Connett, Warde, Wooler, et al., 1993 | placebo | 20/19 | 1.8 puffs/day | 125 mgpt | 8 total hospitalizations | ||||||
| BUD | 20/17 | −0.1 puffs/day | 1.9 puffs/day | NS | 60 mg/pt | 65 mg/pt | NS | 3 total hospitalizations | 5 total hospitalizations | NR | |
| ICS vs. Long-Acting Beta-2 Agonists | |||||||||||
| Verberne, Frost, Roorda et al., 1997 | salmeterol | 32/25 | 0.44 puffs/day a | 17 courses | NR | ||||||
| BDP | 35/32 | 0.07 puffs/day a | 0.37 puffs/day | 0.0001 | 2 courses | 15 courses | NR | NR | |||
| Simons, 1997 | BDP | 81/67 | NR | 10 courses | 5 courses | NR | NR | ||||
| salmeterol | 80/58 | NR | 15 courses | NR | |||||||
| ICS vs. Theophylline | |||||||||||
| Tinkelman, Reed, Nelson, et al., 1993 | Theo | 93/69 | NR | 81% with no oral steroid use | 11% pts with ER visits/hospitalizations | ||||||
| BDP | 102/76 | NR | 63.4% with no oral steroid use | 17.6% with no oral steroid use | 0.007 | 4.9% pts with ER visits/hospitalizations | 6.1% pts with ER visits/hospitalizations | NS | |||
| ICS vs. Nedocromil | |||||||||||
| Childhood Asthma Management Program Research Group, 2000a | placebo | 418/411 | −5.3 puffs/week | 122 courses/100 pt-years | 4.4 hospital-izations/100 pt-years 22 urgent care visits/100 pt-years | ||||||
| nedocromil | 311/306 | −5.7 puffs/week | 0.4 puffs/week | NS | 102 courses/100 pt-years | 20 courses/100 pt-years | 0.01 | 4.3 hospital-izations/100 pt-years 16 urgent care visits/100 pt-years | 0.1 hospital-izations/100 pt-years 6 urgent care visits/100 pt-years | NS 0.02 | |
Data reported as absolute value over course of study, data not given to calculate change values.
The majority of patients included in these studies were followed for a year or longer. Studies of several years' duration are needed to measure the long-term effects of ICS on lung function relative to "as needed" treatment or other long-term controller medications; and, in particular, to address the question of whether asthma is characterized by a pattern of progressive decline in lung function that can be prevented by ICS treatment. Lung function measures in studies of less than 1-year duration can assess the effects of ICS on short term control of underlying bronchospasm, but are unlikely to reflect any meaningful changes in long term progression of disease. Moreover, lung function measurements taken within the first few months of treatment capture the marked early improvement associated with initiating ICS treatment and cannot be directly compared with measurements taken later in the course of treatment.
| Study | Treatment Arm | Prebronchodilator | Postbronchodilator | ||
| Change FEV1 % Predicted | Treatment Difference | Change FEV1 % Predicted | Treatment Difference | ||
| Childhood Asthma Management Program Research Group, 2000a | ICS | 2.9 | 2.0 | 0.6 | 0.7 |
| placebo | 0.9 | −0.1 | |||
| van Essen-Zandvliet, Hughes, Waalkens et al., 1992 | ICS | 11.3 | 10 | 5.4 | 5.9 |
| placebo | 1.3 | −0.5 | |||
| Verberne, Frost, Roorda et al., 1997 | ICS | 8.7 | 11.3 | 2.8 | 6.1 |
| salmeterol | −2.6 | −3.3 | |||
| Tinkelman, Reed, Nelson et al., 1993 | ICS | 10.9 | 1.9 | −1.0 | 1.0 |
| theophylline | 12.8 | −2.0 | |||
The 10 trials reported 12 comparisons relevant to this key question. Eight (n=1,511) comparisons were of treatment with ICS versus as-needed beta-2 agonists alone, seven of which were placebo-controlled and one which compared ICS to usual care (Agertoft and Pedersen, 1994). Two of these eight trials (n=69) were limited to children under 5 years of age and had followup of 26 weeks (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993). There was one comparison of nedocromil versus placebo, in a three-arm study, which thus permits indirect comparisons of ICS with nedocromil (Childhood Asthma Management Program Research Group, 2000a). Two comparisons (n=202) were ICS versus salmeterol, with followup of 48 and 52 weeks (Verberne, Frost, Roorda et al., 1997; Simons, 1997). One trial, enrolling 195 patients with 36 weeks' followup, compared ICS with theophylline (Tinkelman, Reed, Nelson et al., 1993).
Three of the studies were based in the Netherlands (Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Verberne, Frost, Roorda et al., 1997), two were from Scandinavia (Jonasson, Carlsen, Blomqvist et al., 1998; Agertoft and Pedersen, 1994), two from the United Kingdom (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993), two from the United States (Childhood Asthma Management Program Research Group, 2000a; Tinkelman, Reed, Nelson et al., 1993) and one from Canada (Simons, 1997). Six reported funding from a pharmaceutical industry source (Childhood Asthma Management Program Research Group, 2000a; Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Verberne, Frost, Roorda et al., 1997; Tinkelman, Reed, Nelson et al., 1993), five from a government or academic source (Childhood Asthma Management Program Research Group, 2000a; Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Storr, Lenney, and Lenney, 1986; Tinkelman, Reed, Nelson et al., 1993), and three (Connett, Warde, Wooler et al., 1993; Jonasson, Carlsen, Blomqvist, et al. 1998; Agertoft and Pedersen, 1994) did not specify a funding source. Several trials indicated multiple funding sources.
One of the inclusion criteria for this key question was that patients should not have had prior ICS treatment; or, alternatively, that there was a washout period of at least 4 weeks prior to initiation of treatment on study (see the "Methodology" chapter). The studies excluded for failure to meet these criteria included several large, recent trials (Baker, Mellon, Wald et al., 1999; Kemp, Skoner, Szefler et al., 1999; Shapiro, Mendelson, Kraemer et al., 1998; White, Cruz-Rivera, Walton-Bowen, 1999).
In seven of the 10 studies, the mean age was similar, in the range of 9-12 years, with -1SD approximately 7 years of age in most studies. For two of the studies of ICS versus no ICS (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993), enrollment was restricted to patients younger than 5 years of age, with mean ages of 3.5 and 1.8 years, respectively. The results of these studies in very young children will be reported separately. In the tenth trial (Agertoft and Pedersen, 1994), the mean age was approximately 6 years (range 3-11 years), but results of older and younger children were not reported separately. This study is the only one that appears to overlap the categories for children older and younger than 5 years of age.
The study eligibility criteria varied, with various combinations of lung function, symptom-based and utilization-based eligibility criteria. Eight trials included symptom-based eligibility criteria, six trials had lung function measures as eligibility criteria, and three included utilization based measures. Specific criteria within these broad categories varied as well. For example, among the studies using lung function eligibility, five of six used FEV1, with the minimum FEV1 ranging between 50 and 75 percent. One of the six trials (Childhood Asthma Management Program Research Group, 2000a) used only bronchial hyperreactivity as a lung function eligibility criterion.
Severity of illness at the time of enrollment was estimated using the NHLBI classification system to the extent possible given the information contained in the reports. Only one study was judged to be restricted to patients with mild asthma (Jonasson, Carlsen, Blomqvist et al., 1998). Four of the studies included a population predominantly in the mild-moderate range (Childhood Asthma Management Program Research Group, 2000a; Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; Verberne, Frost, Roorda et al., 1997), while three studies included patients with severity ranging from mild to severe (Agertoft and Pedersen, 1994; van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Tinkelman, Reed, Nelson et al., 1993). In the two studies of very young children (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993), severity could not be estimated due to a lack of sufficient data on lung function and/or symptom levels. However, both of these trials selected patients whose symptoms were judged to be inadequately controlled, making it likely that these patients were representative of the more severe end of the disease spectrum.
Baseline mean FEV1 was reported for the eight studies that enrolled children over 5 years of age, ranging from a mean of 74.1 to 105 percent of predicted. In four studies, it was not specifically stated whether this was a pre- or postbronchodilator measure; in most cases it was probably a prebronchodilator measure. In the remaining four studies (Childhood Asthma Management Program Research Group, 2000a; van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Verberne, Frost, Roorda et al., 1997; Tinkelman, Reed, Nelson et al., 1993) both pre- and postbronchodilator mean baseline FEV1 values were reported. The difference between pre- and postbronchodilator measures ranged from 8.9 to 19.1 percent predicted, which in several cases could change the classification of severity, depending on which measure was used. For the purpose of classifying severity in this evidence report, the prebronchodilator measure was used where both were reported, since this was used most consistently and allowed better comparison of severity level across studies.
Six of the trials reported baseline symptom scores and/or symptom frequency measures. Because of differences in units and type of reporting, these measures were not helpful in comparing severity levels across studies.
All 10 trials included treatment with ICS in at least one study arm. The control arms of these studies all included treatment with short-acting beta-2 agonists on an as-needed basis, thus making the comparison primarily ICS versus as-needed beta-2 agonists alone. Three different ICS agents were employed: budesonide in five studies, beclomethasone in four studies, and fluticasone in one study.
Using current classification schemes for ICS dose level (NHLBI), 6 of the 10 studies used doses within the medium dose range. One study of children older than 5 years with three treatment groups (Jonasson, Carlsen, Blomqvist et al., 1998) used dosages of budesonide within the low range (100-200 mcg/d). A second study, in children younger than 5 years, used a low dose of beclomethasone (330 mcg/d). Two studies, both in children older than 5 years, used ICS dosages in the high range. Agertoft and Pedersen (1994) treated patients with 800 mcg/d of budesonide, while van Essen-Zandvliet, Hughes, Waalkens et al. (1992) treated patients with 600 mcg/d of budesonide. In the two studies that used salmeterol in one of the study arms, the dose was 50 mcg twice per day. Nedocromil was administered at a dose of 8 mg twice per day in the CAMP study (Childhood Asthma Management Program Research Group, 2000a), and the theophylline dosage was titrated to blood levels by Tinkelman, Reed, Nelson et al. (1993).
Lung function outcomes were reported in 8 of the 10 studies. The two studies that did not report lung function outcomes (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993) were the studies with patients younger than 5 years of age, in which performing lung function measures is not feasible. All eight of these studies reported FEV1 outcomes and all but one (Agertoft and Pedersen, 1994) reported PEF outcomes. The units of reporting varied (percent predicted, absolute value in liters or L/min) for FEV1 and PEF, although the majority of studies reported FEV1 as percent predicted and PEF as L/min. Five studies reported bronchial hyperresponsiveness outcomes in various ways (e.g., mg of medication required for PC20, doubling dose).
Nine of the 10 studies reported on symptom outcomes, either as symptom scores or symptom frequencies. Eight studies reported some measure of symptom frequency, either as the percentage of days and/or nights with symptoms, the percentage of days needing rescue medication, or the percentage of days with a symptom score greater than a threshold level. Five studies reported daytime symptom scores and three reported nighttime symptom scores. The units of the symptom scores varied considerably, with one study using a 0-2 scale, two studies using a 0-3 scale, one study using a 0-6 scale, and one study using a 0-32 scale.
Medication use outcomes were reported in 8 of the 10 studies. Six of these reported oral corticosteroid usage and five reported beta-2 agonist usage.
Utilization outcomes were reported in 5 of the 10 studies. The utilization outcomes reported were either hospitalizations (reported as number of patients with event, number of events/person, total number of events over study), or missed days of work/school (reported as percent of patients with any missed days, or total number of missed days over entire study).
Quality of study design and conduct were assessed as described in the "Methodology" chapter. The objective was to identify a group of higher quality trials for purposes of sensitivity analysis. The definition for higher quality studies is applicable only to randomized controlled trials and excluded nonrandomized controlled trials and single arm studies. It includes general quality indicators that have been shown to be associated with a bias in magnitude of effect, and asthma specific study features that control for potential confounders of outcomes.
To be defined as a higher quality study, a trial needed to meet three general quality indicators: (1) double blinding; (2) appropriate handling of exclusions and withdrawals as demonstrated by percentage of excluded patients below threshold or results analyzed by intent-to-treat analysis; and (3) concealment of treatment allocation.
In addition, the presence of six features specific to the setting of asthma was assessed. The first was that power calculations for primary outcomes were specified prospectively. The second criterion was whether the study accounted for the reasons that patients withdrew from the study, particularly regarding the number of patients that were withdrawn due to lack of efficacy. Next, the presence of specific study features designed to control for potential confounders of outcome was assessed. These were: (1) whether reversibility of lung obstruction was established at study entry; (2) whether use of asthma medications other than the study medication was controlled for; (3) whether measures of patient compliance were reported; (4) and whether the influence of seasonal differences on outcomes was addressed.
| General Quality Indicators | Asthma-Specific Quality Indicators | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Citation | Blinding | Percentage of excluded subjects below specified threshold? | Intent-to-treat analysis? | Allocation concealed? (NS=not specified) | Power calculations? | Accounted for excluded patients? | Revers-ibility estab-lished? | Controlled for other medication use? | Reported compliance? | Addressed season-ality? |
| Childhood Asthma Management Program Research Group, 2000a | Yes | Yes | Yes | Yes | Yes | NAa | Yes | Yes | Yes | No |
| Jonasson, Carlsen, Blomqvist et al., 1998 | Yes | Yes | Yes | NS | Yes | Yes | No | NR | No | No |
| Simons, 1997 | Yes | No | No | NS | No | No | Yes | No | Yes | No |
| Hoekstra, Grol, Hovenga, et al., 1998 | Yes | No | No | NS | No | Yes | Yes | Yes | Yes | No |
| van Essen-Zandvliet, Hughes, Waalkens, et al., 1992 | Yes | No | No | Yes | No | Yes | Yes | Yes | No | No |
| Storr, Lenney and Lenney, 1986 | Yes | No | No | NS | Yes | Yes | NAb | NR | No | Yes |
| Connett, Warde, Wooler, et al., 1993 | Yes | No | No | NS | Yes | Yes | NAb | NR | No | No |
| Verberne, Frost, Roorda et al., 1997 | Yes | No | No | Yes | Yes | Yes | Yes | Yes | Yes | No |
| Tinkelman, Reed, Nelson, et al., 1993 | Yes | No | No | NS | Yes | Yes | Yes | Yes | No | No |
No patients were excluded from analysis.
Studies in children under 5, where lung function assessment is infeasible.
Of the eight other randomized controlled trials, all were double-blinded but only the trial by Jonasson, Carlsen, Blomqvist et al. (1998) met the criterion for percentage of subjects excluded from analysis below the specified threshold. This study also analyzed results by intent-to-treat analysis, but did not specify whether allocation to treatment arm was concealed. Jonasson, Carlsen, Blomqvist et al. (1998) also reported power calculations and accounted for excluded patients, but did not fulfill any of our other asthma specific study quality indicators.
A high number of patients excluded from the analysis of results was typical for this group of studies. With one exception (Simons, 1997), all gave an accounting of the reasons patients were excluded from the analysis. Overall, the preponderance of exclusions from analysis were patients withdrawn for the placebo arm due to lack of treatment effect (i.e., symptoms, exacerbations). Thus, the relatively high withdrawal rates from the placebo arm are an indicator that ICS treatment is more effective in controlling the symptoms of asthma. Only the CAMP (Childhood Asthma Management Program Research Group, 2000a) and Jonasson, Carlsen, Blomqvist et al. (1998) studies used an intent-to-treat analysis to control for bias related to withdrawals. Several other studies stated that intent-to-treat analysis was used, but it was evident from close review of the results sections of these papers that this was not the case.
Two trials other than CAMP reported on allocation concealment (van Essen-Zandvliet, Hughes, Waalkens et al., 1992; Verberne, Frost, Roorda et al., 1997); overall, six of the nine trials did not specify whether allocation to treatment arm was concealed. Verberne, Frost, Roorda et al. (1997) also met all the asthma-specific quality indicators, except addressing the effects of seasonality. van Essen-Zandvliet, Hughes, Waalkens et al. (1992) fulfilled three of the six asthma-specific indicators: accounting for excluded patients, establishing reversibility of lung obstruction and controlling for other medication use.
Five trials met no general quality criteria other than double-blinding (Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993; Tinkelman, Reed, Nelson et al., 1993), and three of the five reported power calculations. Tinkelman, Reed, Nelson et al. (1993) also established reversibility, accounted for excluded patients, and controlled for other medication use. The trials by Storr, Lenney, and Lenney (1986) and Connett, Warde, Wooler et al. (1993) were of younger children, where lung function tests cannot be preformed to establish reversibility. Both accounted for excluded patients; Storr, Lenney, and Lenney (1986) also addressed seasonality. Neither study controlled for other medications or reported compliance. Storr, Lenney, and Lenney (1986) is the only trial of the 10 included in this key question that addressed seasonality. Of the two remaining trials, Hoekstra, Grol, Hovenga et al. (1998) and Simons (1997) both established reversibility and reported on compliance. But only Hoekstra, Grol, Hovenga et al. (1998) accounted for excluded patients and controlled for other medication use.
There were six trials in this category, enrolling a total of 790 patients treated with ICS and 652 controls; 40 percent of ICS patients (n=311) and 64 percent of controls (n=418) were contributed by the CAMP study (Childhood Asthma Management Program Research Group, 2000a). Except for Agertoft and Pedersen (1994), all trials were randomized, double-blinded, and placebo-controlled. Agertoft and Pedersen (1994) enrolled 216 ICS patients but only 62 controls; which comprises 27 percent and 10 percent, respectively, of the total population of the included studies. Asthma severity in these studies was generally mild to moderate. Three studies had a population that was estimated to be confined to mild-to-moderate patients (Childhood Asthma Management Program Research Group, 2000a; Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998); together, these studies contributed 50 percent of ICS patients and 75 percent of controls. One study, which contributed 16 percent of ICS patients and 6 percent of controls, had a population that was clearly limited to mild asthma (Jonasson, Carlsen, Blomqvist et al., 1998). Two studies, enrolling 35 percent of ICS patients and 18 percent of controls, had populations spanning the range of severity from mild to severe (Agertoft and Pedersen, 1994; van Essen-Zandvliet, Hughes, Waalkens et al., 1992). The range of mean baseline FEV1 was 75.7 to 105 percent predicted.
Most patients (estimated 90 percent) were followed for a year or longer. Three trials reported followup greater than 1 year; 224 weeks in CAMP (Childhood Asthma Management Program Research Group, 2000a), mean of 192.4 weeks in the ICS arm of Agertoft and Pedersen (1994), and median of 95.3 weeks in van Essen-Zandvliet, Hughes, Waalkens et al. (1992). Simons (1997) reported 52 weeks of followup; the trials by Jonasson, Carlsen, Blomqvist et al. (1998) and Hoekstra, Grol, Hovenga et al. (1998) were each only 12 weeks in duration.
All six studies report FEV1 outcomes; all but Agertoft and Pedersen (1994) also report PEF and PC20 outcomes. Two studies (Childhood Asthma Management Program Research Group, 2000a, van Essen-Zandvliet, Hughes, Waalkens et al., 1992) report FEV1 outcomes in both pre- and postbronchodilator values; the others did not specify whether the FEV1 outcomes were pre- or postpostbronchodilator measurements.
The CAMP study (Childhood Asthma Management Program Research Group, 2000a), because of its 4-year followup, large number of patients, and completeness in reporting lung function outcomes, provides the most robust available evidence on the effect of ICS on long-term lung function outcomes. CAMP found no significant changes in postbronchodilator FEV1 between the ICS and placebo groups (0.6 vs. −0.1 percent predicted, p=NS) (Childhood Asthma Management Program Research Group, 2000a). Baseline postbronchodilator FEV1 measures were in the normal range (>100 percent) for both groups and there was little overall change in these after 4 years of followup. An initial rise in FEV1 was observed in the ICS group, which diminished over time. After 1 year of followup, the difference between groups for postbronchodilator FEV1 was reported to be significant in favor of ICS, although specific data were not reported. This significant difference was not present, however, at the final time point.
These primary analyses of lung function outcomes were performed in an intent-to-treat manner. Since over 25 percent of patients in the placebo group received beclomethasone due to inadequate control, this intent-to-treat analysis may underestimate the true difference in lung function between groups. Supplementary comparisons were also performed (Childhood Asthma Management Program Research Group, 2000b) on a treatment-received basis and for patients who were compliant with treatment. The range of treatment difference in FEV1 was −0.3 to 0.6 percent predicted for these analyses, indicating that the lack of treatment effect was not the result of contamination of the placebo group or noncompliance in the treatment group.
The CAMP study reported statistically significant differences in prebronchodilator FEV1 and bronchial hyperreactivity at the 4-year time point that favored ICS over placebo (Childhood Asthma Management Program Research Group, 2000a). Change in prebronchodilator FEV1 was 2.9 vs. 0.9 percent predicted (p=0.02); an increase from baseline of 93.6 percent predicted to 96.5 percent in the ICS group, compared with 94.2 percent to 95.1 percent in the placebo group. For bronchial hyperreactivity, the ratio of final to initial concentration of methacholine that caused a 20 percent decrease in FEV1 was 3.0 in the ICS group compared with 1.9 in the placebo group (p<0.0001). The change in PEF was not significantly different for the ICS and placebo groups (131 L/min vs. 132 L/min).
The other five trials each reported a statistically significant difference in FEV1 outcomes in favor of the ICS group. Four of these trials did not specify whether the FEV1 measured was pre- or postbronchodilator. Of these four trials, two measured FEV1 at 12 weeks (Jonasson, Carlsen, Blomqvist et al., 1998; Hoekstra, Grol, Hovenga et al., 1998); one had 31 percent withdrawal in the placebo arm and 17 percent in the ICS arm (Simons, 1997); and the fourth trial was not randomized (Agertoft and Pedersen, 1994). Moreover, the trial by Jonasson, Carlsen, Blomqvist et al. (1998), which had three ICS arms at different dosages, reported final FEV1 only for the ICS arm that had significant results (budesonide 100 mcg twice daily). Thus, differences cannot be calculated for the two ICS arms that had nonsignificant results. Among these five trials, the difference in the change in FEV1 between ICS and control groups ranged from 5.2 percent to 14.8 percent.
It is difficult to compare the magnitude of change in FEV1 across these trials, or with the CAMP trial, due to several factors. Not all studies reported postbronchodilator FEV1 and, as discussed previously, results of studies reporting prebronchodilator FEV cannot be directly compared with those of studies that report postbronchodilator FEV1. The only study other than CAMP that reported both pre- and postbronchodilator measurements had a 43 percent rate of patient withdrawal in the placebo arm due to lack of treatment effect (van Essen-Zandvliet, Hughes, Waalkens et al., 1992). Likewise, comparisons of lung function outcomes at different lengths of followup is problematic. The effect of ICS on lung function parameters over time is not linear, therefore, comparisons of these outcomes need to be made at similar points in time in order to be meaningful. A further difficulty in comparing results across trials is that different doses of ICS may have an impact on the magnitude of effect. While the data contained in these studies are not robust enough to permit quantitative analysis, it is interesting to note that the two studies employing high doses of ICS (Agertoft and Pedersen, 1994; van Essen-Zandvliet, Hughes, Waalkens et al., 1992) reported the largest differences in FEV1 between groups (14.8 percent and 10.0 percent difference in prebronchodilator FEV1 between groups), while the single study using low ICS dosages in older children was largely negative (Jonasson, Carlsen, Blomqvist et al., 1998).
Among these same five trials, PEF was reported in four (Jonasson, Carlsen, Blomqvist et al., 1998; Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992). In three of these studies (Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992), there were significant differences in favor of the ICS group. PC20 outcomes were reported for four of these trials (Jonasson, Carlsen, Blomqvist et al., 1998; Simons, 1997; Hoekstra, Grol, Hovenga et al., 1998; van Essen-Zandvliet, Hughes, Waalkens et al., 1992), with significant differences found in favor of ICS in all four cases. PC20 outcomes were reported in various units (e.g., mg of medication, treatment ratio, doubling dose), precluding comparison of treatment effect across studies.
Three of the six studies reported symptom score outcomes (Childhood Asthma Management Program Research Group, 2000a; Jonasson, Carlsen, Blomqvist et al., 1998; Hoekstra, Grol, Hovenga et al., 1998), four reported symptom frequency outcomes (Childhood Asthma Management Program Research Group, 2000a; Jonasson, Carlsen, Blomqvist et al., 1998; Simons, 1997; van Essen-Zandvliet, Hughes, Waalkens et al., 1992), and four reported medication use outcomes (Childhood Asthma Management Program Research Group, 2000a; Jonasson, Carlsen, Blomqvist et al., 1998; Simons, 1997; van Essen-Zandvliet, Hughes, Waalkens et al., 1992). Statistically significant differences in symptom scores in favor of ICS were reported in two of the three studies (Childhood Asthma Management Program Research Group, 2000a; Jonasson, Carlsen, Blomqvist et al., 1998). In one of these two (Jonasson, Carlsen, Blomqvist et al., 1998), significant differences were found for only one of three ICS groups and not for the other two. CAMP reports a difference between groups in the improvement of symptom scores between groups of 0.07 on a 0-3 scale (p=0.005) (Childhood Asthma Management Program Research Group, 2000a).
Symptom frequency outcomes were significant in favor of ICS for two of the four studies reporting this class of outcomes. The CAMP study reported a significant difference in the improvement in episode-free days per month for the ICS group as compared to the placebo group (11.3 per month vs. 9.3 per month, respectively, p<0.01) (Childhood Asthma Management Program Research Group, 2000a). This difference represents a gain of two episode-free days per month associated with ICS use. CAMP reported no significant difference between the ICS and placebo groups in the number of night awakenings (−0.7 per month vs. −0.6 per month, p=NS) (Childhood Asthma Management Program Research Group, 2000a). Simons (1997) also reported no difference between groups in the percentage of symptom-free nights (99 percent in both arms). In contrast, Jonasson, Carlsen, Blomqvist et al. (1998) reported a significant difference in symptom-free nights for one of three ICS arms (treatment difference −0.11 nights/week without symptoms, p<0.05). This treatment difference represents a gain of approximately three symptom-free nights per month associated with ICS use. This treatment arm in the Jonasson, Carlsen, Blomqvist et al. (1998) study (budesonide 100 mcg twice daily) was the same arm that showed significant differences on lung function outcomes.
Four studies reported on supplemental beta-2 agonist use. CAMP reported a greater reduction in beta-2 agonist use for the ICS group as compared to the placebo group (7.4 puffs/week vs. 5.3 puffs/week, p<0.001), representing approximately two fewer puffs per week of beta-2 agonist associated with ICS use (Childhood Asthma Management Program Research Group, 2000a). Simons (1997) reported a difference of 9 percent (p=0.03) between groups on the overall percentage of days free of rescue medication use. This represents a gain of approximately 3 days per month in which rescue medication is not required. Jonasson, Carlsen, Blomqvist et al. (1998) and Simons (1997) reported no significant group differences in beta-2 agonist use.
Three studies reported on oral corticosteroid usage, two reporting a significant difference. CAMP reported 122 courses of oral corticosteroid use per 100 patient-years in the placebo group compared with 70 courses per 100 patient-years in the ICS group (p<0.001) (Childhood Asthma Management Program Research Group, 2000a). In the van Essen-Zandvliet, Hughes, Waalkens et al. (1992) trial, 48 percent of patients on placebo required at least one course of oral corticosteroids, compared with 14 percent of patients on ICS (p<0.001). In the Simons (1997) study, oral corticosteroid use was greater in the placebo group, but no test of statistical significance was reported.
Four trials reported some measure of utilization outcomes (Childhood Asthma Management Program Research Group, 2000a; Simons, 1997; Agertoft and Pedersen, 1994; van Essen-Zandvliet, Hughes, Waalkens et al., 1992), two of which were significantly better for the ICS group. CAMP reported a decrease in hospitalizations for the ICS group as compared to placebo (2.5/100 patient-years vs. 4.4/100 patient-years, p=0.04) (Childhood Asthma Management Program Research Group, 2000a). Agertoft and Pedersen (1994) also reported a decreased rate of hospitalizations associated with ICS use (0.004/pt/year vs. 0.03/pt/yr, p<0.001). Simons (1997) reported the percentage of patients with no missed school days to be 81 percent in the ICS group and 66 percent in the placebo group (p=NS). van Essen-Zandvliet, Hughes, Waalkens et al. (1992) reported no significant differences in the total number of hospitalizations and no significant difference in the total number of missed school days.
The evidence on the efficacy of ICS in children older than 5 years is from six trials, five of which were placebo controlled and randomized. These six trials enrolled a total of 790 patients treated with ICS and 652 controls. Overall, these studies demonstrate that, compared to as-needed beta-2 agonists without long-term controller medication, ICS improve control in patients with mild-to-moderate asthma. ICS-treated patients demonstrate reduced airway hyperresponsiveness (e.g., prebronchodilator FEV1, PC20), less frequent symptoms (e.g., daytime frequency, as-needed beta-2 agonist use), fewer courses of oral corticosteroids, and lower utilization (e.g., hospitalization). However, these improvements in asthma control may not translate into long-term benefits in lung function. In the CAMP trial, no difference among groups was observed in change in postbronchodilator FEV1 after 4 years of treatment (Childhood Asthma Management Program Research Group, 2000a).
The most robust evidence is from the CAMP trial, which contributed 40 percent of ICS patients (n=311) and 64 percent of controls (n=418) to the total patient population for this body of literature (Childhood Asthma Management Program Research Group, 2000a). This study also had the longest duration of treatment (4 years), the most complete outcome measures, and the most detailed reporting of study design and statistical analysis. All results reported by CAMP were adjusted for characteristics at study entry, including baseline value, severity and duration of asthma, age, sex, race, and ethnicity (Childhood Asthma Management Program Research Group, 2000a). Although lacking the power, followup and completeness of the CAMP study, the other five studies also reported statistically significant measures of asthma control that favored ICS. No study reported any statistically significant result that favored the control arm.
The CAMP study is unique, however, in demonstrating that there was no statistically significant change in postbronchodilator FEV1, which is a measure of long-term disease progression (Childhood Asthma Management Program Research Group, 2000a).
Of the five other studies, four did not specify whether pre- or postbronchodilator FEV1 was being reported; although it is likely that the measure was prebronchodilator. Moreover, two of these studies were only 12 weeks in duration and the third was 1 year; and thus insufficient to observe the long-term effects of disease or treatment. The fourth study followed 116 patients for 22 months and had a high rate of withdrawal. The fifth was a nonrandomized trial that enrolled only 62 patients in the control arm. Thus, none of these predecessors to the CAMP study were adequate to address the question of whether ICS can alter the course of the disease in patients with mild-to-moderate asthma.
Two studies (n=69) compared ICS to placebo in children less than 5 years of age, with treatment duration of 26 weeks (Storr, Lenney, and Lenney, 1986; Connett, Warde, Wooler et al., 1993). The main outcomes reported in these trials of very young children were symptom-based outcomes. Both reported symptom score and symptom frequency outcomes as recorded by the parents or caretakers. Both trials also reported beta-2 agonist use. Connett, Warde, Wooler et al. (1993) also reported oral corticosteroid usage and the total number of hospital visits. Lung function outcomes were not reported, as these are infeasible to measure in children younger than 5 years of age.
Both trials reported statistically significant differences favoring ICS in some symptom subscores. Storr, Lenney, and Lenney (1986) measured three symptom subscores: daytime wheezing, nighttime wheezing, and cough, on a 0-3 scale. Significant differences were found in favor of ICS on the final scores for daytime wheezing (0.26 vs. 0.33, p<0.05) and nighttime wheezing (0.26 vs. 0.35, p<0.05). Connett, Warde, Wooler et al. (1993) reported on five symptom score subscales: daytime cough, nighttime cough, daytime wheeze, nighttime wheeze, and days of limited activity, each measured on a 0-2 scale. Significant differences were found in favor of ICS on the change in two of these subscales, daytime cough (−0.5 vs. 0.05, p<0.03) and nighttime cough (−0.4 vs. 0.07, p<0.05). No differences were found on daytime or nighttime wheeze or on days of limited activity.
Other measures favored ICS use, but were not consistently statistically significant in these two small trials. Storr, Lenney, and Lenney (1986) reported significantly less beta-2 agonist use for the ICS group as compared to placebo (0.52 puffs/day vs. 0.98 puffs/day), but the difference was not significant in the trial by Connett, Warde, Wooler et al. (1993). Storr, Lenney, and Lenney (1986) found no differences in the percentage of symptom-free days or the percentage of symptom-free nights. But Connett, Warde, Wooler et al. (1993) found that the ICS group had a significantly greater percentage of symptom-free days as compared to placebo (54 percent vs. 31 percent, p<0.0001). The Connett, Warde, Wooler et al. (1993) study found less oral corticosteroid use and fewer hospitalizations in the ICS group, but the differences were not statistically significant.
Two small trials (n=69) compared ICS treatment to placebo in children under 5 years of age. The available evidence is scant, but the results reported appear to be consistent with those reported for children over 5 years of age.
Two randomized and double-blinded trials compared ICS to salmeterol in children (Verberne, Frost, Roorda et al., 1997; Simons, 1997). One of these (Verberne, Frost, Roorda et al., 1997) was designed as a direct comparison between the two agents. The second trial (Simons, 1997) was a three-arm study in which both ICS and salmeterol were compared with placebo, but for most outcomes, direct statistical comparisons were not reported between ICS and salmeterol. An indirect comparison of the two agents can be made by comparing the relative efficacy of each with placebo and by examining the magnitude of difference in outcomes between the two medications. Both of these trials included patient severity levels in the mild-to-moderate range and were of approximately 1-year duration. The total number of patients enrolled was 308 (including 80 patients in the placebo arm of Simons, 1997), with 237 patients evaluable. Both reported lung function outcomes, symptom frequency outcomes, and medication use outcomes. Simons (1997) also reported on the percentage of patients with missed school days.
Verberne, Frost, Roorda et al. (1997) found a significant difference in favor of ICS on the change in FEV1 over the course of the study. This study reported both pre and postbronchodilator FEV1 values and found a significant difference on both measures. There was a difference of 12 percent in the final prebronchodilator FEV1 in favor of the ICS group compared to salmeterol (95 percent vs. 83 percent, p<0.0001). A significant difference in postbronchodilator FEV1 was also reported, although this difference of 5.0 percent was a smaller absolute benefit in favor of the ICS group (102.5 percent vs. 97.5 percent, p=0.007). In contrast, the second study (Simons, 1997) reported an identical change in FEV1 (+10 percent predicted) for the ICS and salmeterol groups, and both were statistically significant compared to compared to placebo (+5 percent, p=0.001). Simons (1997) did not state whether the measure was pre or postbronchodilator.
Both trials reported PEF outcomes. Verberne, Frost, Roorda et al. (1997) reported a rise in PEF of 60.9 L/min in the ICS group as compared to 48.8 L/min in the salmeterol group, a difference that was not statistically significant. Simons (1997) reported a rise in PEF of 35 L/min for the ICS group and a slightly higher rise of 41 L/min for the salmeterol group, both significant compared to placebo. For PC20 outcomes, Verberne, Frost, Roorda et al. (1997) reported a significant difference in favor of the ICS group (increase of 2.02 doubling doses, as compared to a decrease of 0.73 doubling doses, p<0.0001). Simons (1997) reported change in mean mg of methacholine required for PC20, and reported a statistical comparison between ICS and salmeterol for this outcome in favor of ICS (increase of 1.37 mg vs. increase of 0.84 mg, p=0.01).
Symptom frequency measures were reported by Verberne, Frost, Roorda et al. (1997) as days/week with symptoms, nights/week with symptoms, and the percentage of patients with no symptoms over a 2-week period. There were no differences between groups in days/week or nights/week with symptoms. The percentage of patients with no symptoms over a 2-week period was 55 percent for the ICS group and 36 percent for the salmeterol group. This comparison was reported as "only significant at some time points," but not at others. Simons (1997) reported the percent of days in which beta-2 agonist was not required as rescue medication: 92 percent for ICS and 88 percent for salmeterol. The difference between the ICS group and the placebo group (92 versus 83 percent, p<0.001) was statistically significant, while the difference between the salmeterol group and the placebo group was not (88 percent vs. 83 percent, p=NS). There was no statistical comparison reported between the ICS and salmeterol groups.
In both studies, overall withdrawals and withdrawals for exacerbation were higher in the salmeterol group than the ICS group. Verberne, Frost, Roorda et al. (1997) reported that 10 patients withdrew from the trial. Of the seven patients who withdrew because of exacerbations, six were in the salmeterol group. Simons (1997) reported that overall withdrawals were 17 percent in the ICS group, 28 percent in the salmeterol group, and 31 percent in the placebo group (ICS vs. placebo, p=0.03). The percent of patients for whom the primary reason for withdrawal was asthma exacerbation was 5 percent in the ICS group, 15 percent in the salmeterol group, and 15 percent in the placebo group.
Beta-2 agonist use, as measured by the median number of puffs per day during the treatment period, was reduced in the ICS group as compared to salmeterol in the Verberne, Frost, Roorda et al. (1997) study (0.07 puffs/day vs. 0.44 puffs/day, p=0.0001). Simons (1997) reported that median percent albuterol-free days was significantly lower for ICS compared to placebo (92 vs. 83, p<0.001), but the difference between salmeterol and placebo (88 vs. 83) was not significant. Oral corticosteroid usage was reported in both studies. Both studies reported fewer courses of oral corticosteroids in the ICS group (2 versus 17 courses in Verberne, Frost, Roorda et al., 1997, 10 vs. 15 courses in Simons, 1997), but neither study reported a statistical comparison. Simons (1997) reported on the percentage of patients who did not miss any school days due to asthma, 88 percent in the ICS group vs. 81 percent in the salmeterol group and 66 percent in the placebo group. No statistical comparisons were reported for this outcome.
There is little evidence available to compare ICS and salmeterol in children with mild to moderate asthma. Two randomized and double-blinded trials enrolled 116 (99 evaluable) patients treated with ICS, 112 (83 evaluable) patients treated with salmeterol, and 80 (55 evaluable) patients treated with placebo. One of these is a three-arm trial in which most comparisons were indirect and reported as ICS vs. placebo and salmeterol vs. placebo. Most of the results that were statistically significant were from only one of the two trials; and statistical data were lacking for many comparisons of interest. These two trials are not adequate to determine the relative effectiveness of the two agents. However, all statistically significant results reported favored ICS over salmeterol and none favored salmeterol over ICS.
One trial compared ICS use to theophylline (Tinkelman, Reed, Nelson et al., 1993). This was a 36-week trial enrolling 195 patients whose asthma severity ranged from mild to severe. Outcomes reported included pre- and postbronchodilator FEV1, PEF, bronchial hyperreactivity, symptom scores, symptom frequencies, oral corticosteroid usage, and ER visits. There was a high dropout rate in both arms of this trial: 25 percent of the patients in the ICS arm and 26 percent in the theophylline arm were not included in the final analysis.
There were no statistically significant differences found between groups on the majority of the outcome measures abstracted. Prebronchodilator FEV1 increased to a similar degree in both groups, while post bronchodilator FEV1 remained largely unchanged in both groups. PEF improved by 6 percent predicted in the ICS group compared with 2 percent predicted in the theophylline group (p=NS). The PC20 also showed a larger increase in the ICS group (9.04 mg methacholine vs 3.7 mg methacholine) but this difference did not reach statistical significance either. Baseline and final symptom scores were virtually identical between groups. Similarly, there were no significant differences in symptom frequencies, or ER visits. The ICS group had less oral corticosteroid use as compared to the theophylline group, with 81.4 percent of patients in the ICS group not requiring oral corticosteroids, as compared to 63.4 percent of patients in the theophylline group (p=0.007).
One trial (n=195) compared ICS use to theophylline. Because of the lack of additional trials and large numbers of withdrawals, these data are not sufficient to judge the comparative efficacy of ICS vs. theophylline; neither are the data sufficient to conclude that these agents have equivalent efficacy.
The third arm of the CAMP (Childhood Asthma Management Program Research Group, 2000a) study compared nedocromil to placebo, enrolling 312 patients in the nedocromil arm and comparing outcomes to the 418 patients in the placebo group. As described previously, this was a population of mild-to-moderate asthmatics followed for over 4 years. No direct comparisons of the ICS arm with the nedocromil arm were reported. However, examination of the comparison to placebo in each of the two treatment arms allows an indirect determination of the relative efficacy of ICS vs. nedocromil
The majority of comparisons of nedocromil vs. placebo were not significantly different. These included pre- and postbronchodilator FEV1, PEF, PC20, symptom scores, symptom frequencies, and beta-2 agonist use. There were two outcome measures that showed a significant difference in favor of the nedocromil group. The amount of oral corticosteroid use was less in the nedocromil group (102 courses/100 patient-years vs. 122 courses/100 patient-years, p=0.01). The frequency of ER use was also lower in the nedocromil group as compared to placebo (16 visits/100 patient-years vs. 22 visits/100 patient-years, p=0.02).
The CAMP trial found no difference between nedocromil and placebo in lung function or symptom outcomes, although courses of oral corticosteroids and urgent care visits were reduced (Childhood Asthma Management Program Research Group, 2000a). Therefore, it can be concluded that ICS are more effective than nedocromil in reducing the frequency and severity of symptoms, supplemental beta-2 agonist use, and the frequency of hospitalizations due to asthma. The data do not suggest that either agent leads to improved long-term lung function outcomes, as measured by change in postbronchodilator FEV1, for children with mild-to-moderate asthma.
Most of the studies in the evidence base for this systematic review evaluated outcomes related to asthma control; the outcome measures and duration of followup in most studies were not adequate to assess the effects of treatment on disease progression over the long term. The available evidence is sufficient to conclude that ICS are superior to "as needed" beta-2 agonists in improving short term lung function measures, symptoms, ancillary medication use, and utilization. However, the CAMP study, which provides the most robust evidence to date on long-term changes in lung function, found no difference between ICS and control groups after 4 years of treatment (Childhood Asthma Management Program Research Group, 2000a). Thus improvements in short-term parameters of control may not translate to long-term improvements in lung function, at least in the population and treatment duration addressed by CAMP. The evidence is not sufficient to permit conclusions on the comparative benefit of ICS vs. salmeterol or ICS vs. theophylline. The CAMP study found that ICS are superior to the mast-cell stabilizing agent nedocromil (Childhood Asthma Management Program Research Group, 2000a).
The evidence on the efficacy of ICS in children older than 5 years is from six trials, five of which were placebo controlled and randomized. These six trials enrolled a total of 790 patients treated with ICS and 652 controls. The most robust evidence is from the CAMP trial, which contributed 40 percent of ICS patients (n=311) and 64 percent of controls (n=418), had the longest duration of treatment (4 years), the most complete outcome measures, and the most detailed reporting of study design and statistical analysis (Childhood Asthma Management Program Research Group, 2000a).
Overall, these studies demonstrate that compared to as-needed beta-2 agonists without long-term controller medication, ICS improve control in patients with mild-to-moderate asthma. ICS-treated patients demonstrate improvement in prebronchodilator FEV1, reduced airway hyperresponsiveness, improvements in symptom scores and symptom frequency, less supplemental beta-2 agonist use, fewer courses of oral corticosteroids, and lower utilization (hospitalization). The evidence does not suggest, however, that ICS use is associated with improved long-term postbronchodilator FEV1. The CAMP trial reported no difference in the change in postbronchodilator FEV1, which is a measure of disease progression, after 4 years of treatment (Childhood Asthma Management Program Research Group, 2000a).
Two small trials (n=69) compared ICS treatment to placebo in children under 5 years of age. The available evidence is scant, but the results reported appear to be consistent with those reported for children over 5 years of age: that ICS improve short-term control of asthma. There is no evidence addressing the long-term effect of ICS on lung function in this age group.
The available evidence is not adequate to determine the relative effectiveness of the ICS and salmeterol in children with mild to moderate asthma. Two randomized and double-blinded trials enrolled 116 (99 evaluable) patients treated with ICS, 112 (83 evaluable) patients treated with salmeterol, and 80 (55 evaluable) patients treated with placebo. One of these is a three-arm trial in which most comparisons were indirect and reported as ICS vs. placebo and salmeterol vs. placebo. Of the statistically significant results reported, most were significant in only one of the two trials; however, all favored ICS over salmeterol.
One trial (n=195) compared ICS use to theophylline. Because of the lack of additional trials and large numbers of withdrawals, these data are not sufficient to judge the comparative efficacy of ICS vs. theophylline; neither are the data sufficient to conclude that these agents have equivalent efficacy.
The CAMP trial found no difference between nedocromil and placebo in lung function or symptom outcomes, although courses of oral corticosteroids and urgent care visits were reduced (Childhood Asthma Management Program Research Group, 2000a). Therefore, it can be concluded that ICS are more effective than nedocromil in reducing the frequency and severity of symptoms, supplemental beta-2 agonist use, and the frequency of hospitalizations due to asthma.
Key Question 1b. What are the lon g-term adverse effects of chronic ICS use in children on the following outcomes:
vertical growth
BMD
ocular toxicity
suppression of adrenal/pituitary axis
This systematic review addresses the long term adverse effects of ICS use in children on four outcomes: vertical growth; BMD; ocular toxicity, including posterior subcapsular cataract and glaucoma; and suppression of adrenal/pituitary axis function.
The difficulties of systematically assessing adverse effects of drugs are well known. Most clinical trials are not designed to specifically address adverse effects, and thus, may be statistically underpowered and of insufficient duration to detect long-term adverse effects. To assess the adverse effects of ICS on the outcomes of interest, evidence from controlled clinical trials was used; however, other sources of data also were sought.
Numerous factors can confound the interpretation of growth and bone density effects, including individual variation, effects of puberty, severity of asthma, and oral corticosteroid use. Furthermore, among the various ICS preparations, each agent may have somewhat different effects due to differences in per-unit potency, absorption, and solubility. Thus, for growth outcomes and effects on bone density, the evidence was limited to controlled studies that incorporated plausibly constructed adjustments for confounders. In contrast, for rarely occurring events such as cataracts in childhood or iatrogenic Cushing's syndrome, the literature was searched broadly for observational data, including case reports. While such reports cannot establish the frequency of occurrence of an adverse effect, they can show an association between intervention and event and may, under some conditions, permit causal inferences.
Evidence was found on three measures of vertical growth in children: short term growth velocity measured over a period of 1 year or less; growth velocity and change in height measured over longer duration (4-6 years), and final attained adult height. The evidence on short-term growth velocity is from a published meta-analysis that pooled data from five randomized controlled trials representing 855 subjects, with a mean age of 9.5 years (Sharek and Bergman, 2000). Evidence on growth velocity and height over longer duration is from the CAMP trial (Childhood Asthma Management Program Research Group, 2000a), a randomized trial comparing ICS, nedocromil, and placebo in 1,041 children with mild-to-moderate asthma who were followed for 4 to 6 years. For final attained adult height, evidence is from three retrospective cohort studies that adjusted for the potential confounding factor of parental height (Agertoft and Pedersen, 2000; Silverstein, Yunginger, Reed et al., 1997; Van Bever, Desager, Lijssens et al., 1999). Together, these three studies included a total of 243 asthmatics treated with ICS, 154 asthmatics who had not been treated with ICS, and 204 nonasthmatic controls.
The effect of ICS on short-term growth velocity has been evaluated in several randomized clinical trials. Randomized controlled trials constitute the most rigorous evidence of an effect on growth velocity, free from effects of confounding caused by asthma status and severity of disease. A previous synthesis of randomized, clinical trials was located that combines the results of studies that would have qualified for inclusion in the review of evidence.
A meta-analysis of the relevant randomized controlled trials was published by Sharek and Bergman (2000). Studies were included in the meta-analysis if they met the following criteria: subjects 0 to 18 years of age with a clinical diagnosis of asthma; subjects randomized to inhaled beclomethasone, budesonide, flunisolide, fluticasone, or triamcinolone versus a nonsteroidal inhaled control for a minimum of 3 months; single- or double-blinded; and outcome convertible to linear growth velocity.
Out of 92 full-text studies initially reviewed by Sharek and Bergman (2000), five trials met study selection criteria. Of the five trials, four used beclomethasone and one used fluticasone. The studies all included patients with mild-to-moderate asthma that was thought to be clinically stable at the time of enrollment. Characteristics of the subjects in all five trials, representing 855 subjects, revealed a mean age of 9.5 years, a mean percentage of males of 67.0 percent, and a mean baseline FEV1 of 85.4 percent. All five studies calculated growth velocity using a regression coefficient of height on time.
Studies by Doull, Freezer, and Holgate (1995), Simons (1997), Tinkelman, Reed, Nelson et al. (1993), and Verberne, Frost, Roorda et al. (1997) all evaluated beclomethasone. Each study by itself showed a statistically significant effect of ICS on growth velocity. The summary weighted mean difference between children treated with beclomethasone and children treated with nonsteroidal medication was −1.51 cm/year (95 percent CI: −1.15 to −1.87). Due to the small number of studies and the lack of data on subgroups, analyses examining treatment duration, ICS dose, subject age and pubertal status were not performed.
One study by Allen, Bronsky, LaForce et al. (1998) evaluated fluticasone at a moderate-strength dose of 200 mcg/day. The mean difference between 96 children treated with fluticasone and 87 children treated with placebo was −0.43 cm/year (95 percent CI: −0.01 to −0.85).
Thus, the conclusion of the meta-analysis by Sharek and Bergman (2000) is that there is a consistent effect of ICS on growth velocity when assessed over a period of 1 year or less. The limitations of the meta-analysis are important to note. Because the measurement of growth was limited to 1 year, no firm conclusions can be made about the effect of ICS beyond 1 year. If growth delay upon initiation of therapy is compensated for by increased later growth, then the implications for growth in long-term therapy are less significant. Secondly, the small number of trials did not allow for analysis of subgroup and interaction effects, that could clarify the independent effects, if any, of treatment duration, ICS dose, and subject age or pubertal status. Third, the meta-analysis reflects largely the effect of beclomethasone, and may not be generalizable to other drugs.
There is one study that examined growth velocity and changes in height in a rigorous randomized clinical trial over longer than 1 year. The CAMP study (Childhood Asthma Management Program Research Group, 2000a) randomized 1,041 children with mild-to-moderate asthma to receive budesonide, nedocromil, or placebo, and followed growth parameters for 4 to 6 years.
At the end of the study period, the children receiving ICS had 1.1 cm less growth than those in the placebo group and 1.0 cm less growth than those in the nedocromil group (p=0.005). Such differences also expressed as final height percentiles were also statistically significant (p<0.001). These analyses were performed on an intent-to-treat basis, providing a conservative estimate of the differences between groups. Supplementary analysis was performed on a treatment-received basis (Childhood Asthma Management Program Research Group, 2000b). In this analysis, children who had received any ICS over the course of the study had 1.8 cm less growth compared with children who had only taken "as needed" beta-2 agonists (p=0.0001).
The investigators also calculated a "projected" final height for each subject, which is a prediction of final adult height based on age, attained height, bone age, and age of onset of menses for girls. Such estimates do not take into account uncertainty of the prediction, and if the components from which the estimate is made are affected by treatment, comparisons between treatment groups may be biased. These projected final height estimates did not differ for all treatment groups.
In CAMP, growth velocity was much slower in the ICS group over the first year of the study (Childhood Asthma Management Program Research Group, 2000a). By 2 years of followup, growth velocity appeared to have converged, and after 4 years it was essentially identical in all three study groups.
The comparisons between treatment groups were analyzed on an intent-to-treat basis, regardless of the treatment actually received by the study subjects. It is notable in the CAMP study that over the 4 years of the study, over 25 percent of the subjects in the nedocromil and placebo groups eventually required initiation of additional therapy, usually ICS (Childhood Asthma Management Program Research Group, 2000a). Thus, the results comparing heights include a fair proportion of patients that crossed over into the other treatment arm, thus, producing a possibly conservative measure of effect. On the other hand, it is unknown to what degree growth may have been impaired if asthma therapy had not been intensified in patients whose disease was not adequately controlled.
There are three studies that attempted to evaluate the effect of ICS on final attained adult height (Agertoft and Pedersen, 2000; Silverstein, Yunginger, Reed et al., 1997; Van Bever, Desager, Lijssens et al., 1999). None of the studies are randomized controlled trials. All are retrospective cohort studies, which cannot evaluate potential sources of confounding such as severity of asthma or other factors which may be associated with both final attained adult height and treatment for asthma. Only studies that accounted for potential confounding of parental height were included in the analysis. All of the studies reviewed here controlled for parental height by calculating a predicted attained height for each subject based on the height of both parents.
The study by Silverstein, Yunginger, Reed et al. (1997) enrolled 153 patients from Rochester, Minnesota with a clinical diagnosis of asthma during childhood. Adult height of asthma subjects was directly measured, data on types of treatments received were obtained from questionnaire and medical records, and height of parents was based on subjects' self-report. An age- and sex-matched control group of 153 subjects without asthma were recruited from Rochester residents who had ever received care at the Mayo Clinic.
Comparisons of adult height adjusting for parental height were carried out for asthmatics versus nonasthmatics. Among asthmatic subjects, comparisons were carried out for any corticosteroid (n=58) use versus noncorticosteroid (n=95) use, oral corticosteroid (n=40) use versus no corticosteroid (n=95) use, and ICS (n=18) use versus no corticosteroid (n=95) use. All comparisons showed small differences that were not statistically significant. In particular, the comparison among asthmatic subjects between ICS use and no corticosteroid use showed that ICS users were 0.9 cm shorter (95 percent CI, −3.8 to 2.0). However, this estimate is based on only 18 subjects who used ICS and 95 subjects who did not use any corticosteroids.
A similar study also based on a retrospectively collected sample by Van Bever, Desager, Lijssens et al. (1999) compared final adult heights among subjects with asthma treated during childhood with different treatment regimens. One group of subjects had been treated with ICS (n=43) during childhood, and the other group had not received inhaled or oral corticosteroids (n=42) during childhood. Both subjects' height and their parents' heights were directly measured by the investigators.
Although the mean adult heights between subjects who had taken ICS and those who had not were not statistically different, adjustment for parental height made a critical difference in the analysis. Overall, after adjusting for parental height, those who had taken ICS were 2.54 cm shorter than those who had not (p=0.03). Stratifying by gender, males who had taken ICS were 3.09 cm shorter than those who had not (p=0.04), and females who had taken ICS were 1.99 cm shorter than those who had not (p=0.31).
In additional secondary analyses, there was no association between height and age at which ICS were started, and no association between total dose of ICS and height. Using hospitalization as a proxy for severity of asthma, among the ICS users, the 11 subjects who had been hospitalized for asthma had a statistically lower adult height minus target height than did the 31 subjects who had never been hospitalized (difference of 2.02 cm, p=0.046).
The study by Agertoft and Pedersen (2000) assessed final adult height in 211 children: 142 treated from childhood with ICS, 18 control patients with asthma who had never been treated with ICS, and 51 healthy siblings of the children treated with ICS. Although an original cohort of subjects with asthma was followed prospectively for several years, due to dropouts and changes in treatment, the study is equivalent to a retrospectively defined cohort, based on data availability and actual treatment given.
The 142 subjects who took ICS were 0.3 cm taller than target adult height, whereas the 18 asthmatic subjects who never took ICS were −0.2 shorter than target adult height, so the net difference between the two groups was 0.5 cm (no differences statistically significant). The healthy siblings were 0.9 cm taller than target adult height, so the net difference between subjects receiving ICS and their healthy siblings was −0.6 (p=NS).
In analysis of the longitudinal data, the investigators found that the growth rate during years 1 and 2 was significantly slower than during the run-in period of the study (run-in 6.1 cm/year, year one 5.1 cm/year, year two 5.5 cm/year). During the third year, the growth rate was not statistically significantly slower than the run-in period.
The body of research regarding the effect of ICS on growth velocity over a relatively short period of 1 year is consistent in showing a difference of average height of 1cm/year over a period of about 1 year. This difference is demonstrated in several studies using the most rigorous study design, i.e., randomized clinical trials. In the one clinical trial extending beyond 1 year (Childhood Asthma Management Program Research Group, 2000a), a difference consistent with this magnitude also occurred in the first year of the study. However, in subsequent long-term followup, the difference in growth velocity was not maintained, and by the end of the 4- to 6-year observation period, there was still an approximately 1 cm difference in cumulative growth between the study groups.
| Study | Group (n) Comparison | Difference in (Adult-Target) Height (cm) a |
|---|---|---|
| Silverstein, Yunginger, Reed et al. (1997) | All asthmatics (n=153) vs. nonasthmatics (n=153) | 0.2 |
| All corticosteroid users (n=58) vs. noncorticosteroid asthmatics (n=95) | −1.2 | |
| Males: All corticosteroid users (n=30) vs. noncorticosteroid asthmatics (n=45) | −1.8 | |
| Females: All corticosteroid users (n=28) vs. noncorticosteroid asthmatics (n=50) | −0.8 | |
| Oral corticosteroid users (n=40) vs. never used corticosteroids (n=95) | −1.4 | |
| Inhaled corticosteroid users (n=18) vs. never used corticosteroids (n=95) | −0.9 | |
| Van Bever, Desager, Lijssens et al. (1999) | All inhaled corticosteroid users (n=43) vs. never used corticosteroids (n=42) | −2.54 b |
| Males: inhaled corticosteroid users (n=23) vs. never used corticosteroids (n=26) | −3.09 b | |
| Females: inhaled corticosteroid users (n=20) vs. never used corticosteroids (n=16) | −1.99 | |
| Agertoft and Pedersen (2000) | All inhaled corticosteroid users (n=142) vs. noncorticosteroid using asthmatics (n=18) | +0.5 |
| All inhaled corticosteroid users (n=142) vs. healthy sibling control group (n=51) | −0.6 | |
| Males: All inhaled corticosteroid users (n=86) vs. healthy sibling control group (n=24) | −0.6 | |
| Females: All inhaled corticosteroid users (n=56) vs. healthy sibling control group (n=27) | −0.8 |
A negative number indicates that corticosteroid users had lower attained adult height than the comparison group, controlling for parental height.
p<0.05
The differences between the studies on short-term growth velocity and final attained adult height appear to be explained by the fact that the initial difference in growth velocity is not sustained over longer periods of time. Although there is no evidence for an initial compensatory acceleration of growth rate (i.e., "catch-up" growth), after the first year, there appears to be resumption of normal growth rates.
Selection criteria for this outcome required that BMD alone be considered the appropriate outcome, and that studies have sufficient size (n=25) in each group for sufficient comparison. Studies that evaluated adults were included if it was felt that the outcomes largely reflected treatment in childhood or young adulthood. Studies of adults were thus included if the mean age of the population was less than 40 years and if the duration of asthma and/or ICS treatment was sufficiently long enough to conclude that ICS exposure had primarily occurred during childhood or early adulthood. Two of the studies are cross-sectional studies that evaluate BMD at a single time, and one of the studies is a randomized clinical trial which assesses changes in BMD over a period of 4-6 years.
Agertoft and Pedersen (1998) compared 157 asthmatic children treated with inhaled budesonide at a mean daily dose of 504 mcg to 111 age-matched children also suffering from asthma but who had never been treated with oral corticosteroids for more than 14 days. The children receiving ICS had been taking medication for 3 to 6 years. The mean age of the ICS users was 10.3 years. There was no difference in mean total body BMD between children taking ICS and the control group (0.92 g/cm2 vs. 0.92 g/cm2). In addition, there were no significant differences in bone mineral capacity and total bone calcium.
Ip, Lam, Yam et al. (1994) studied 30 young adults with a mean duration of asthma of 14 years who had been on ICS an average of 40 months (range: 3-180 months). They were compared to a control group without asthma matched on sex, age, body mass index and menopausal status. BMD measured at the spine, femoral neck, and hip of the ICS users were all significantly lower than that of the control patients. When the subjects were stratified by sex, only females showed a significant difference in all BMD measurements. Among the female patient group, there was a significant correlation between the average daily dose of ICS and BMD of the lumbar spine (r= −0.46, p=0.054) and BMD of the femoral trochanter (r= −0.47, p=0.047).
The one randomized clinical trial, the CAMP study (Childhood Asthma Management Program Research Group, 2000a) evaluated 1,041 children who received budesonide, nedocromil, or placebo. Mean age was 9.5 years and BMD of the spine was assessed at baseline and the end of followup at 4 to 6 years. None of the patients groups had significantly different changes in spinal BMD (budesonide 0.17 g/cm2, nedocromil 0.17 g/cm2, placebo 0.17 g/cm2).
| Citation | Treatment Arm | N Enrolled | N Evaluable | Treatment Duration (years) | Bone Density Result | p Value | Comment | ||
|---|---|---|---|---|---|---|---|---|---|
| Agertoft, Larsen and Pedersen, 1998 | Budesonide 504 mcg per day | 157 | 157 | 3.0 (minimum) | Total body BMD: 0.92 g/cm2 | No significant difference between groups or between boys and girls in bone mineral capacity, or total bone calcium | |||
| Nonsteroid asthma therapies | 111 | 111 | 3.0 (minimum) | Total body BMD: 0.92 g/cm2 | NS | Mean treatment time 4.4 (3-6) yrs | |||
| Ip, Lam, Yam, et al., 1994 | Beclomethasone or budesonide | 30 | 30 | 3.3 |
| 0.041 0.007 0.034 0.016 | Stratified by sex, all differences significant for females, but not for males | ||
| Normal control subjects, matched by sex, age, BMI, menopausal status | 30 | 30 | NA |
| |||||
| Childhood Asthma Management Program Research Group, 2000a | Budesonide 400 mcg/day | 311 | 311 | 4-6 yr | Change in spine BMD: 0.17 g/cm2 | 0.53 vs. placebo | |||
| Nedocromil 16 mg/day | 312 | 312 | 4-6 yr | Change in spine BMD: 0.17 g/cm2 | 0.15 vs. placebo | ||||
| Placebo | 418 | 418 | 4-6 yr | Change in spine BMD: 0.18 g/cm2 |
A total of seven studies enrolling approximately 1,000 asthmatic subjects receiving ICS therapy examined occurrence of subcapsular cataracts. Because the incidence and prevalence of cataracts is expected to be zero in children and young adults, clinical trials, comparative cross-sectional studies, and single-group cross-sectional studies were all selected for review. Three studies were randomized clinical trials that examined subjects for incidence of cataracts during the trial period. Two studies were cross-sectional studies examining the prevalence of cataracts in groups already being treated with ICS compared with control groups never treated with ICS. Two studies were cross-sectional studies examining the prevalence of cataracts only among subjects already taking ICS.
Several of the clinical trials that evaluated cataracts were of relatively short duration. The randomized clinical trials by Allen, Bronsky, LaForce et al. (1998) and Tinkelman, Reed, Nelson et al. (1993) only treated and followed patients for 1 year. The CAMP study (Childhood Asthma Management Program Research Group, 2000a) assessed the incidence of cataracts over 4 to 6 years of treatment with ICS. The four cross-sectional studies evaluating subjects who had already been treated with ICS reported a mean prior treatment duration between 2.1 and 6.7 years.
Occurrence of cataract was a rare outcome in all studies. Three of the seven studies evaluating a total of 360 subjects taking ICS reported no cataracts among users (Agertoft Larsen, and Pedersen, 1998; Tinkelman, Reed, Nelson et al., 1993; Simons, Persaud, Gillespie et al., 1993). Four of the studies reported the occurrence of a single cataract that could possibly be attributed to ICS. In the randomized clinical trial by Allen, Bronsky, LaForce et al. (1998), a single patient out of 219 treated with fluticasone developed a trace subcapsular cataract at the 24th week of the study. Before enrolling in the study, the patient had been treated with ICS for 2 years. In the cross-sectional study of Nassif, Weinberger, Sherman et al. (1987), a single subcapsular cataract was noted in one patient out of 31 taking ICS. In the study of Abuikteish, Kirkpatrick, and Russell (1995), one cataract in one patient out of 140 patients taking ICS was identified, but this patient had a past history of oral corticosteroid use. In the CAMP study (Childhood Asthma Management Program Research Group, 2000a), no patients had cataracts according to lens-photography criteria, but a single patient out of 311 on ICS had a posterior subcapsular cataract detected in an ophthalmologic exam conducted 5 months after the photographs were taken. The patient had been receiving budesonide and beclomethasone, and had received 38 days of oral prednisone during the study.
Thus, the studies appear to rule out a large effect of ICS on the short-term incidence of cataract, but are insufficient to rule out an increased risk of a small absolute magnitude.
Two of these studies also reported findings on measurements of ocular pressure. In the randomized, controlled trial of Tinkelman, Reed, Nelson et al. (1993), no cases of glaucoma were detected. In the cross-sectional study by Nassif, Weinberger, Sherman et al. (1987), ocular pressures were normal in all cases and mean ocular pressures did not differ between patients taking ICS and patients not on ICS (14.0 vs. 14.0).
These very limited data available show no relationship between glaucoma or increased intraocular pressure and ICS. However, these studies only examined children and young adults. Evidence is lacking on adverse effect occurrence of these complications when the subjects are older and the baseline risk of cataracts and glaucoma is much greater. A small increased risk of senile cataracts or glaucoma because of childhood treatment with ICS would be of great public health importance because of the high prevalence of ICS use and the high incidence of senile cataracts.
Two types of evidence on the effects of ICS on HPA axis function were found. The first type of evidence consists of case reports of iatrogenic Cushing's syndrome, possibly related to ICS. The second type consists of six studies evaluating 413 patients treated with ICS where HPA axis function was followed for or assessed at least 1 year after initiation of treatment. Three studies are randomized clinical trials (or extensions or subsets of randomized clinical trials), two are cross-sectional studies, and one is a single-arm pre-post study. Each study evaluates from one to three different measures of HPA function. The three randomized clinical trials and the one pre-post study assessed HPA function over the 1-year period of trial. The two cross-sectional studies assessed HPA function at 1.4 and 2.1 mean years of treatment with ICS.
Several case reports describe children presenting with signs and symptoms of iatrogenic Cushing's syndrome possibly related to ICS (Zimmerman, Gold, Wherrett et al., 1998; Taylor, Jensen, Kanabar et al., 1999; Priftis, Everard, and Milner, 1991; Hollman and Allen, 1988). In each of these four case reports, patients presented with signs and symptoms of Cushing's syndrome; and at the time of clinical presentation, patients' plasma cortisol levels were low and out of the normal range. Stimulation tests were not always performed on the patients but were normal in at least one of the patients (Hollman and Allen, 1988). The case for causality of the symptoms in all of these case reports is further strengthened by the fact that signs and symptoms regressed after reduction or withdrawal of ICS and retesting confirmed return to normal plasma cortisol levels.
The case reports show that systemic effects can occur in clinically detectable ways, with a strong case for causality in these individual patients by the accompanying laboratory tests and response when ICS were withdrawn. Case reports such as these provide strong evidence that systemic effects on the HPA axis can occur, but provide no evidence on the frequency of such effects. However, if a particular adverse effect is rare, then most randomized clinical trials or cohort studies are also unable to determine the frequency of such events.
Out of the large number of studies examining some aspect of HPA axis function in patients taking ICS, study selection criteria limited the reviewed studies to those in which at least 25 patients were evaluated, and where HPA axis function was followed for at least 1 year after initiation of treatment.
The designs of the included studies vary. Three studies are randomized clinical trials (or extensions or subsets of randomized clinical trials), two are cross-sectional studies, and one is a single-arm pre-post study. Each study evaluates from one to three different measures of HPA function.
Four studies (Scott and Skoner 1999; Tinkelman, Reed, Nelson et al., 1993; Nassif, Weinberger, Sherman et al., 1987; Ribeiro 1993) evaluating 312 patients taking ICS reported findings on serum cortisol levels. None of the studies reported significant differences in serum cortisol values, whether the findings were expressed as comparison of changes between groups between baseline and followup, a cross-section comparison during treatment, or a single-group pre-post comparison.
Three studies (Price, Russell, Hindmarsh et al., 1997; Gonzalez Perez-Yarza, Mintegui, Garmendia et al., 1996; Nassif, Weinberger, Sherman et al., 1987) evaluating 132 patients taking ICS reported findings on 24-hour urinary cortisol, a measure which is a more sensitive measure of difference in adrenal function than serum cortisol, because it is correlated with cortisol excretion over a 24-hour period of time. Although the study of Price, Russell, Hindmarsh et al. (1997) was a randomized clinical trial, all three studies reported only cross-sectional comparisons of urinary cortisol. Two of the studies, the studies of Gonzalez Perez-Yarza, Mintegui, Garmendia et al. (1996) and Nassif, Weinberger, Sherman et al. (1987) reported significant differences in the mean value of urinary cortisol between groups treated with ICS versus control groups.
Three studies (Scott and Skoner 1999; Tinkelman, Reed, Nelson et al., 1993; Ribeiro 1993) evaluating 281 patients taking ICS reported the results of normal dose ACTH stimulation tests between ICS users and control groups. None of the studies reported a change in ACTH-stimulated cortisol levels consistent with adrenal suppression, either between baseline and followup between study groups or between baseline and followup in a single-arm study. In the single-arm study by Ribeiro (1993), the results were statistically significant in the opposite direction, indicating better responsiveness to ACTH in the period after ICS were started. In the study by Gonzalez Perez-Yarza, Mintegui, Garmendia et al. (1996), only patients with low urinary cortisol levels were subjected to ACTH stimulation tests. Tests were abnormal in 3.1 percent of patients (n=2). However, control subjects were not tested, so it is unknown whether this is attributable to ICS treatment.
The findings of these studies, although varying widely as to whether a statistically significant effect of ICS on adrenal function exists, could be explained by differences in the sensitivity of the different tests used to evaluate adrenal function and the different aspects of adrenal function that are being evaluated. Measures of low cortisol, either serum or urinary, reflect diminished cortisol excretion due to the effect of exogenous steroids on the feedback mechanism which regulates cortisol excretion. Stimulation tests, on the other hand, reflect the ability of the adrenal gland to respond to stimulation by increasing cortisol excretion.
| Citation | Treatment Arms | Measure of HPA Axis Function | Results | p Value | Comments | ||
|---|---|---|---|---|---|---|---|
| Randomized Clinical Trials | |||||||
| Scott and Skoner, 1999 | BUD 500 mcg/day (n=132) vs. conventional treatment (n=57) | Serum cortisol at baseline and 12 mos. | BUD (0, 12 mos.): 320, 300 Conventional (0, 12 mos.): 250, 315 | "No significant differences" | Subset of full trial | ||
| ACTH-stimulated cortisol at baseline and 12 mos. | BUD (0, 12 mos.): 695, 655 Conventional (0, 12 mo): 690, 720 | "No significant differences" | Subset of full trial | ||||
| % patients from normal to abnormal stimulation test between baseline and 12 mos. | BUD: 24% Conventional: 21% | "Not different" | |||||
| Price, Russell, Hindmarsh, et al., 1997 | FP 50 mcg/day (n=36) vs cromolyn 20 mg/day (n=27) | Urinary cortisol geometric mean ratio between patient groups at 6 and 12 mos. | Ratio of urinary cortisol at 6 mos.: 0.85 Ratio of urinary cortisol at 12 mos.: 0.96 | NS: 95% CI includes 1 NS: 95% CI includes 1 | |||
| Tinkelman, Reed, Nelson, et al., 1993 | BDP 84 mcg/day (n=102) vs theophylline (n=93) | Serum cortisol at baseline, 6, and 12 mos. | BDP 84 mcg/day (0, 6, 12 mos.): 328, 306, 309 Theophylline (0, 6, 12 mos.): 309, 322, 334 | Not stated: "similar" | |||
| ACTH-stimulated cortisol at baseline, 6, and 12 mos. | BDP 84 mcg/day (baseline): 726, (6, 12 mos. NA) Theophylline (baseline): 723 (6, 12 mos. NA) | Not stated: "almost identical" | |||||
| Cross-section studies | |||||||
| Gonzalez Perez-Yarza, Mintegui, Garmendia, et al., 1996 | budesonide or beclomethasone, mean dose 676 +/− 280 mcg/day (range, 226-1800) (n=250) vs. normal controls (n=108) | Urinary cortisol | BUD/BDP: 58.69 nmol/m2/day Control: 81.98 nmol/m2/day | p<0.05 | |||
| No. of abnormal ACTH stimulation tests in subset with urinary cortisols below 1 standard deviation | BUD/BDP group: 2 abnormal tests (3.1%) control group: Not done | Not applicable | 1 of the 2 patients with abnormal test had chronic oral corticosteroids | ||||
| Nassif, Weinberger, Sherman, et al., 1987 | beclomethasone 358 mcg/day (n=17) vs. beclomethasone 726 mcg/day (n=14) vs. asthmatic control group (n= 50) and normal control groups (n=215) | Serum cortisol |
| Not specifically stated: presumed NOT statistically significant | |||
| Urinary cortisol |
| Text: "Statistically significant" from controls | |||||
| Single-arm pre-post study | |||||||
| Ribeiro, 1993 | budesonide 200 mcg/day (n=47) | Serum cortisol at baseline and 12 months | basal cortisol (0, 12 mos.): 497, 497 | Not stated, presumed not statistically significant | |||
| ACTH-stimulated cortisol at baseline and 12 months | 4-hr stimulated cortisol (0, 12 mos.): 1,104, 1,131, 5-hr stimulated cortisol (0, 12 mos.): 1,242, 1,380 | p=0.02 for increase from baseline, both tests | |||||
The question, then, is how to reconcile the case reports with the results of clinical trials and cohort studies. The case reports appear to be reasonably causally attributable to ICS based on clinical presentation, consistency with laboratory findings, and clinical response to reduction or withdrawal of treatment. Although the studies show that, on average, persons may have only clinically insignificant effects of ICS on the HPA axis, there may be individuals acutely susceptible to their effects. The relatively short duration of the reviewed studies precludes any conclusion regarding the effects of years of ICS use on HPA function.
This systematic review addresses the long term adverse effects of chronic ICS use in children on four outcomes: vertical growth; BMD; ocular toxicity, including posterior subcapsular cataract and glaucoma; and suppression of adrenal/pituitary axis. The difficulties of systematically assessing adverse effects are well known. Most clinical trials are not designed to specifically address adverse effects, and thus may be statistically underpowered and of insufficient duration to detect long-term adverse effects. In addition, the results of this evidence review do not apply to adults. For the adult population, particularly elderly adults, adverse effects may differ qualitatively and quantitatively. For example, while effects on vertical growth are not a concern for adults, ocular toxicity is likely to occur more frequently as age increases.
As summarized, the available evidence suggests that the use of ICS at recommended doses does not have frequent, clinically significant, or irreversible effects on any of the outcomes reviewed. It is possible that chronic use of ICS initiated in childhood might have cumulative effects that increase the relative risk of certain events, such as osteoporosis, cataracts, or glaucoma, in later life. However, none of the available studies has sufficient followup duration or numbers of patients to definitively assess this possibility. It is also likely that the probability of adverse effects is related to the dose of ICS. However, no studies identified in the published literature were appropriately designed to test the dose-response relationship of ICS to adverse effects.
Evidence on three measures of vertical growth in children was found: short-term growth velocity measured over a period of 1 year or less; growth velocity and change in height measured over longer duration (4-6 years), and final attained adult height. The evidence on short-term growth velocity is from a published meta-analysis which pooled data from five randomized controlled trials representing 855 subjects, with a mean age of 9.5 years. Evidence on growth velocity and height over longer duration is from the CAMP trial (Childhood Asthma Management Program Research Group, 2000a) randomized trial comparing ICS, nedocromil, and placebo in 1,041 children with mild-to-moderate asthma followed for 4 to 6 years. For final attained adult height, evidence is from three retrospective cohort studies that adjusted for the potential confounding factor of parental height. Together, these three studies included a total of 243 asthmatics treated with ICS, 154 asthmatics who had not been treated with ICS, and 204 non-asthmatic controls.
Evidence on growth velocity over 1 year is consistent in showing a difference of average height of 1 cm/year between children treated with ICS and controls. In the only trial extending beyond 1 year (Childhood Asthma Management Program Research Group, 2000a), a difference consistent with this magnitude also occurred in the first year of the study. However, in subsequent long term followup, the difference in growth velocity was not maintained. At the end of the 4 to 6 year observation period there was still an approximately 1 cm difference in cumulative growth between the study groups.
The evidence on final adult height appears to be fairly consistent, as well. However, this evidence is based on retrospective cohort studies, which are subject to selection bias and the confounding effects of severity of asthma cannot be adjusted for. Some comparisons in these studies were also limited by small sample size. One study showed a difference in final attained adult height between ICS users and nonusers. However, the difference is much less than would be expected than if a 1 cm/year growth velocity difference was maintained over several years.
The CAMP study (Childhood Asthma Management Program Research Group, 2000a) followed a population of mild to moderate asthmatics, mean age approximately 9 years treated for 4 years with ICS. This study, with large numbers, randomization and assessment of longitudinal changes, provides very strong evidence that there is no effect of ICS on BMD and in the doses given and time duration in that study. One retrospective study of 30 young adults found a significant correlation between BMD and ICS dosage among female patients. Such studies are subject to potential confounding because of unmeasured differences between groups that are risk factors for low BMD. In addition, the clinical significance of any observed differences in BMD are unknown. Subtle differences in BMD would not have clinical impact until additive to other risk factors such as aging, and it is uncertain whether differences observed during young adulthood would persist to old age. Alternatively, it is possible that subtle changes during critical periods of bone mineral accretion that occur in childhood could magnify the risk of osteoporotic fracture in later life.
Studies that report the occurrence of posterior subcapsular cataracts consist mostly of small cohorts and cross-sectional studies, with the exception of the CAMP study (Childhood Asthma Management Program Research Group, 2000a). The expected incidence rate of subcapsular cataract in any population of normal young children and adults is zero. These studies are sufficient to rule out a large effect of ICS on short-term incidence of cataract, but are not capable of detecting a small increase in risk of an event which has a baseline risk of essentially zero. Also, several of the clinical trials that evaluated development of cataracts were of relatively short duration.
Two of these studies also reported on measurements of ocular pressure. The very limited data available show no relationship between glaucoma or raised intraocular pressure and ICS.
Two types of evidence on the effects of ICS on HPA axis function were found. These were case reports of iatrogenic Cushing's syndrome related to ICS and six studies (n=413 treated with ICS) regarding HPA axis function. Each study evaluates from one to three different measures of HPA function, with followup for at least 1 year after initiation of treatment.
The case reports show that systemic effects can occur in clinically detectable ways in individuals, with a strong case for causality in these individual patients by the accompanying laboratory tests and response when ICS were withdrawn. In the controlled clinical studies, when using more sensitive tests of cortisol such as 24-hour urinary cortisol, two out of three studies of HPA axis function showed a statistically significant effect of ICS. It should be noted that these statistically significant results occur as comparisons of mean values between groups. Few or no patients in most studies have laboratory values out of the "normal" range. However, the clinical significance of these more sensitive indicators of adrenal function is unknown.
The case reports appear to be reasonably causally attributable to ICS based on clinical presentation, consistency with laboratory findings, and clinical response to reduction or withdrawal of treatment. Although the studies show that, on average, persons may have only clinically insignificant effects of ICS on the HPA axis, there may be individuals acutely susceptible to their effects.
Key Question 2. For patients with mild-to-moderate asthma, does early initiation of long-term controller therapy (i.e., ICS) prevent progression of asthma, as indicated by changes in lung function or severity of symptoms?
Addressing this key question requires understanding of some inherent assumptions. In order for early initiation of long-term controller medications to be more beneficial than delayed initiation, at least two assumptions must be true. First is that mild-to-moderate asthmatics, as a group, have a progressive decline in lung function over time that is measurable and clinically significant. Second is that treatment with controller medications prevents or slows this long-term decline, in addition to providing control of asthma. If these assumptions are true, then it is possible that early initiation of long-term controller medication will improve long-term lung function in the population of mild-to-moderate asthmatics, as compared to delaying introduction of long-term controller medications until symptoms are more severe.
There were no studies that were prospectively designed to address this key question in the specific population of interest. As a result, the available evidence from studies that compared early with delayed ICS treatment has notable limitations with respect to the relevance of the population, time frames for study entry and followup, clarity of reporting with respect to the details of interest to the question, and the use of appropriate control groups. For some trials, it was not possible even to accurately calculate the number of enrolled or evaluable patients of interest to the question, because reporting of one or the other number was combined with other patient groups (e.g., COPD patients or severe asthmatics). Although the objective was to study the effects of any long-term controller medications (e.g., ICS, leukotriene antagonists, cromolyn/nedocromil, theophylline), the available studies were limited to ICS. Because the available studies are few, and do not offer a consistent approach to the question of interest, the review of evidence describes and critically reviews each study. (See Evidence Tables 2-1 through 2-7.)
In addition, the implications of a fifth and more recent study, the CAMP (Childhood Asthma Management Program Research Group, 2000a), are discussed. The CAMP trial is the most robust evidence to date on long-term lung function outcomes in a group of patients treated with ICS versus a placebo-treated control group. Although immediate and delayed initiation of ICS were not directly compared, CAMP provides the strongest prospective evidence available on the natural history of mild-to-moderate asthma managed without inhaled corticosteroids or other long-term controller medication.
| Citation/Study Design | Eligibility | Estimated Disease Severity | Study Duration (years) | Study Arm | Delay/Duration of ICS Use (mos) a | # Enrolled # Evaluable | Baseline FEV1 | Mean Age +/− SD | Lung Function Outcomes | Sx / Meds | Utilization Outcomes | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FEV1 | PEF | PC20 | |||||||||||
| Overbeek, Kerstjens, Bogaard et al., 1996-RCT open-label extension | 1) FEV1 minimum 1.2 L and 1.64 to 4.5 residual SDs below predicted, or FEV1/inspiratory VC ratio >1.64 residual SDs below predicted; 2) Histamine PC20 maximum 8 mg/ml | unable to estimate | 3.0 | CS-IMM | 0/36 | (91)/49 | 64.6 +/− 14.1% predicted | 36.8 +/− 11.9 | X | X | |||
| CS-DEL | 30/6 | (183)/53 | 61.2 +/− 15.6% predicted | 37.7 +/− 12.6 | X | X | |||||||
| Haahtela, Jarvinen, Kava, et al., 1994-RCT open-label extension | FEV1 minimum 80% of predicted; increase >15% after inhalation of B-agonist or decrease >15% after exercise test. Maximum duration of symptoms 12 months. | mild | 3.0 | CS-IMM | 0/36 | 50/16 | 3.17 +/− 0.8 L | 37.3 +/− 11.3 | X | X | X | X | |
| CS-DEL | 24/12 | 53/36 | 3.05 +/− 0.7 L | 38.1 +/− 13.1 | X | X | X | X | |||||
| Agertoft and Pedersen, 1994-Stratified single-arm study | Minimum of three prior visits to clinic within past year, with mild to moderate asthma. | mild-severe | 3.7 | CS-IMM | 0-12/24 | ?/? | 81.3% predicted (entire study population) | 6.2 (entire study population) | X | ||||
| CS-DEL1 | 12-24/24 | ?/? | X | ||||||||||
| CS-DEL2 | 24-36/24 | ?/? | X | ||||||||||
| CS-DEL3 | 12-24/24 | ?/? | X | ||||||||||
| Selroos, Pietinalho, Lofroos, et al., 1995 -- Stratified analysis of ICS treatment arm of a controlled trial | FEV1 maximum 75% of predicted or PEF maximum 75% of predicted; and/or use of inhaled bronchodilators >3x/week, and/or regular asthma symptoms during day or night, and/or reduced exercise tolerance | mild-severe | 2.0 | CS-IMM | 0-6/24 | 14 | 70 +/− 21% predicted | 42 +/− 10 | X | X | |||
| CS-DEL1 | 6-12/24 | 35 | 70 +/− 21% predicted | 52 +/− 12 | X | X | |||||||
| CS-DEL2 | 12-24/24 | 13 | 78 +/− 18% of predicted | 39 +/− 16 | X | X | |||||||
| CS-DEL3 | 24-60/24 | 19 | 60 +/− 16% predicted | 49 +/− 16 | X | X | |||||||
| CS-DEL4 | 60-120/24 | 15 | 62 +/− 18% predicted | 54 +/− 14 | X | X | |||||||
| CS-DEL5 | >120/24 | 9 | 67 +/− 21% predicted | 62 +/− 9 | X | X | |||||||
"X" indicates outcome reported
For Agertoft and Pedersen (1994) and Selroos, Pietinalho, Lofroos, et al. (1995), these numbers indicate duration of asthma and duration of ICS treatment, respectively.
| Citation | Study Arm | # Enrolled # Evaluable | Estimated Disease Severity | Study Duration (years) | Overall Change FEV1 a | Treatment Difference | Overall Change PEF | Treatment Difference | Overall Change PC20 | Treatment Difference | Comments |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Overbeek, Kerstjens, Bogaard et al., 1996-RCT open-label extension | CS-IMM | (91)/49b | unable to estimate | 3.0 | 13.8% pred (CI 7.7-18.7) | 5.3% pred | NR | 1.77 DD (CI 1.07-2.56) | 0.98 DD | Number of patients enrolled includes both COPD and asthma patients, number evaluable includes only asthma patients. Comparison only made of rise in FEV1 during initial 3 mos treatment with ICS in both groups. | |
| CS-DEL | (183)/53b | 8.5% pred (CI 3.3-15.9) | NR | 0.79 DD (CI 0.00-1.44) | |||||||
| Haahtela, Jarvinen, Kava, et al., 1994-RCT open-label extension | CS-IMM | 50/16 | mild | 3.0 | 0.15 L | 0.13 L | 46 L/min | 31 L/min | Values represent FEV1 at start of initial study and final FEV1 after 3 years. No statistical comparison performed on change in FEV1 from start of study until final endpoint | ||
| CS-DEL | 53/36 | 0.02 L | 15 L/min | ||||||||
| Agertoft and Pedersen, 1994-Stratified single-arm study | CS-IMM | ?/? | mild-severe | 3.7 | 8.2% pred/yr (CI 6.1-10.3) | 5.8% pred/yr c | NR | NR | Calculation of % increase/yr in FEV1 by linear regression probably not appropriate. Final FEV1 % predicted 101 +/− 13.6% in CS-IMM group as compared to 96.2 +/− 9.5% in CS-DEL3 group, p<0.05. | ||
| CS-DEL1 | ?/? | 6.7% pred/yr (CI 5.0-8.4) | 4.3% pred/yr c | NR | NR | ||||||
| CS-DEL2 | ?/? | 3.0% pred/yr (CI ??) | 0.6% pred/yr c | NR | NR | ||||||
| CS-DEL3 | ?/? | 2.4% pred/yr (CI 1.1-3.7) | NR | NR | |||||||
| Selroos, Pietinalho, Lofroos, et al., 1995-Stratified single-arm study | CS-IMM | 14 | mild-severe | 2.0 | 17% pred | 17% pred d | 21% pred | 19% pred d | NR | Pt groups not well-balanced on age, baseline lung function, smoking status | |
| CS-DEL1 | 35 | 5% pred e | 5% pred d | 12% pred | 10% pred d | NR | |||||
| CS-DEL2 | 13 | 7% pred f | 7% pred d | 12% pred | 10% pred d | NR | |||||
| CS-DEL3 | 19 | 8% pred | 8% pred d | 6% pred | 4% pred d | NR | |||||
| CS-DEL4 | 15 | 4% pred f | 4% pred d | 2% pred | 0% pred d | NR | |||||
| CS-DEL5 | 9 | 0% pred e | 2% pred | NR |
FEV1 prebronchodilator or postbronchodilator status was not specified for these studies.
Number of patients enrolled includes both COPD and asthma patients, number evaluable includes only asthma patients.
As compared to CS-DEL3 group
As compared to CS-DEL5 group
p<0.01 as compared to CS-IMM group
p<0.05 as compared to CS-IMM group
| Citation | Study Arm | # Enrolled # Evaluable | Estimated Disease Severity | Study Duration (years) | Change in Symptom Score | Treatment Difference | Oral Corticosteroid Use | p Value |
|---|---|---|---|---|---|---|---|---|
| Overbeek, Kerstjens, Bogaard et al., 1996-RCT open-label extension | CS-IMM | (91)/49 a | unable to estimate | 3.0 | NR | NR | ||
| CS-DEL | (183)/53 a | unable to estimate | 3.0 | NR | NR | |||
| Haahtela, Jarvinen, Kava, et al., 1994-RCT open-label extension | CS-IMM | 50/16 | mild | 3.0 | − 0.8 ?? (scale, 0-10) | 0.0 | 9 courses in 4 pts | NR |
| CS-DEL | 53/36 | mild | 3.0 | − 0.8 (scale, 0-10) | 12 courses in 8 pts | |||
| Agertoft and Pedersen, 1994-Stratified single-arm study | CS-IMM | ?/? | mild-severe | 3.7 | NR | NR | ||
| CS-DEL1 | ?/? | mild-severe | 3.7 | NR | NR | |||
| CS-DEL2 | ?/? | mild-severe | 3.7 | NR | NR | |||
| CS-DEL3 | ?/? | mild-severe | 3.7 | NR | NR | |||
| Selroos, Pietinalho, Lofroos, et al., 1995-Stratified single-arm study | CS-IMM | 14 | mild-severe | 2.0 | NR | NR | ||
| CS-DEL1 | 35 | mild-severe | 2.0 | NR | NR | |||
| CS-DEL2 | 13 | mild-severe | 2.0 | NR | NR | |||
| CS-DEL3 | 19 | mild-severe | 2.0 | NR | NR | |||
| CS-DEL4 | 15 | mild-severe | 2.0 | NR | NR | |||
| CS-DEL5 | 9 | mild-severe | 2.0 | NR | NR |
Number of patients enrolled includes both COPD and asthma patients; number evaluable includes only asthma patients.
The duration of follow up was 3 years in the randomized trials, and 2 and 3.7 years respectively in the single arm studies. Haahtela, Jarvinen, Kava et al. (1994) treated one group with ICS for 24 months, then treated the delayed ICS group for 12 months. Overbeek, Kerstjens, Bogaard et al. (1996) treated one group with ICS for 30 months, then initiated ICS in the delayed group and followed both groups for an additional 6 months. In the single-arm studies, patients starting on ICS were followed for 2 years in one study (Selroos, Pietinalho, Lofroos et al., 1995) and for 2-6 years (mean: 3.7 years) in the final study (Agertoft and Pedersen, 1994).
All four trials were conducted in Europe, three in Scandinavia, and the fourth in the Netherlands. The two randomized trials were multicentered (Haahtela, Jarvinen, Kava et al., 1994; Overbeek, Kerstjens, Bogaard et al., 1996), while the two single-arm studies were from single institutions (Agertoft and Pedersen, 1994; Selroos, Pietinalho, Lofroos et al., 1995). Funding sources for three of the trials were not specified, for the fourth (Overbeek, Kerstjens, Bogaard et al., 1996) funding was through a combination of pharmaceutical and government grants.
Three of the four studies (Haahtela, Jarvinen, Kava et al., 1994; Overbeek, Kerstjens, Bogaard et al., 1996; Selroos, Pietinalho, Lofroos et al., 1995) enrolled an adult population; the fourth study (Agertoft and Pedersen, 1994) enrolled children between the ages of 3-11 years. Severity of illness as measured by baseline FEV1 values ranged from mild to moderate. Two studies (Haahtela, Jarvinen, Kava et al., 1994; Agertoft and Pedersen, 1994) had baseline FEV1 values in mild range (i.e., greater than 80 percent predicted); the other two (Overbeek, Kerstjens, Bogaard et al., 1996; Selroos, Pietinalho, Lofroos et al., 1995) had baseline FEV1 values in the moderate range (i.e., 60-80 percent predicted) according to the asthma classification guidelines of the NHLBI (National Heart, Lung, and Blood Institute, 1997).
All three adult trials used eligibility criteria based on lung function parameters, but no consistent or uniform set of severity parameters or eligibility criteria was common to all the trials. One trial (Overbeek, Kerstjens, Bogaard et al., 1996) had inclusion criteria based only on lung function parameters; two trials (Haahtela, Jarvinen, Kava et al., 1994; Selroos, Pietinalho, Lofroos et al., 1995) based inclusion criteria on lung function parameters and duration or frequency of symptoms. The pediatric study (Agertoft and Pedersen, 1994) had inclusion criteria based on stated severity of asthma and number of clinic visits. All studies had criteria that would exclude patients with prior ICS treatment, although the specific exclusion criteria were different for each of the four trials.
All four trials reported lung function outcomes in some manner, but no two studies used the same measure to report change in lung function from baseline. Haahtela, Jarvinen, Kava et al. (1994) reported prebronchodilator and postbronchodilator FEV1 values in liters (L); Selroos, Pietinalho, Lofroos et al. (1995) reported prebronchodilator and postbronchodilator FEV1 values as percent of predicted normal values; Overbeek, Kerstjens, Bogaard et al. (1996) reported the absolute increase in FEV1 percent predicted; and Agertoft and Pedersen (1994) reported the calculated annual increase in FEV1 percent predicted. The two studies that reported PEF outcomes also used different measures: L/min in Haahtela, Jarvinen, Kava et al. (1994) and percent predicted in Agertoft and Pedersen (1994). Only Haahtela, Jarvinen, Kava et al. (1994) reported data for symptom-based outcomes and this was also the only trial that reported medication use outcomes (i.e., oral corticosteroid use). None of the studies reported outcomes based on utilization of clinical services (e.g., hospitalization, ER visits, unscheduled doctor visits) or on missed days of work, school, or activity.
Quality of study design and conduct was assessed as described in the "Methodology" chapter. The objective was to identify a group of higher quality trials for purposes of sensitivity analysis. The definition for higher quality studies is applicable only to randomized controlled trials and excluded nonrandomized controlled trials and single arm studies. It includes generic quality indicators that have been shown to be associated with a bias in magnitude of effect, and disease specific indicators, particularly those that are potential confounders of outcomes.
| General Quality Indicators | Asthma-Specific Quality Indicators | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Citation | Blinding (required) | Percentage of excluded subjects below specified threshold? (required) | Intent to treat analysis? | Allocation concealed? (NS=not specified) | Power calculations? | Accounted for excluded patients? | Reversibility established? | Controlled for other medication use? | Reported compliance? | Addressed seasonality? |
| Haahtela, Jarvinen, Kava et al., 1994 | No | No | No | NS | No | No | Yes | Yes | No | No |
| Overbeek, Kerstjens, Bogaard et al., 1996 | No | No | No | NS | No | No | Yes | Yes | No | No |
With respect to asthma specific quality indicators, both randomized trials established reversibility on lung function measurements and controlled for use of other asthma medications. Neither reported power calculations for outcomes, adequately accounted for excluded patients, or specified a priori which were primary outcomes for analysis. Neither study reported compliance or controlled for the effects of seasonality on outcomes.
This study was a randomized clinical trial performed in two phases over a period of 3 years. The patient population consisted of mild asthmatics diagnosed within the previous 12 months. The first phase of the study evaluated the efficacy of ICS (n=50) compared to beta-2 agonists alone (n=53). Patients were randomized to inhaled budesonide (600 mcg twice a day) or inhaled terbutaline (375 mcg twice a day) and followed for 2 years. The second phase of the study was a 1-year open-label extension of the original study, in which patients (n=36) assigned to the terbutaline group were treated with ICS. During this third year, patients originally assigned to the ICS group were either continued on a reduced dose of ICS (budesonide 200 mcg twice daily, n=19) or given placebo (n=18). Outcomes were reported at the end of the 3-year period for both the immediate and delayed group, allowing comparisons at baseline and the final time point of the study for the immediate and delayed ICS group.
At the end of 3 years, lung function measures improved in both groups, with larger increases occurring in the immediate ICS group compared to the delayed ICS group, as follows: FEV1 (0.15 L. vs. 0.02 L); PEF (42 L/min vs. 15 L/min); PC15 (5.0 vs. 4.2 DD histamine). However, no tests of statistical significance were reported on these final outcome measures and insufficient information was provided to calculate p-values. Symptom scores also improved in both groups, with a larger absolute improvement in the immediate ICS group. The mean initial symptom score was 2.2 on a 0-10-point scale for both groups, and the final symptom score for the immediate ICS group was 1.4 compared to 1.8 in the delayed group.
This study also compared changes in lung function during the initial 12 months that each group received treatment with ICS, i.e., months 0-12 of the study for the immediate ICS group compared with months 24-36 for the delayed ICS group. The immediate ICS group showed a statistically significant greater absolute rise in PEF over these 12-month periods (36.0 vs. 14.7, p=0.006). There was also a greater absolute rise in the FEV1 for the immediate ICS group, but the difference was not statistically significant (0.13 L vs. 0.05 L, p=0.295).
Although these findings might appear to be consistent with the hypothesis that an irreversible decline in lung function can occur in untreated asthma, and that treatment with ICS may have an impact on decline, this study provides insufficient evidence to support such an inference. First, there was not a statistically significant difference in lung function measures between groups documented over the entire 3-year period. For the comparison of the initial 12 months of ICS use between the immediate and delayed groups, only PEF, but not FEV1, showed a significant difference. Second, selection or withdrawal bias may be present due to the limitations of the study design. Third, the first-year treatment intervals in the double-blind and open label phases of the study are not strictly comparable, and may be subject to confounding effects of varying ICS dosage and seasonality. Finally, the magnitude of difference between groups is of undetermined clinical significance, and is of a size that could be explained by bias.
In summary, features of the design, execution, and reporting of the Haahtela, Jarvinen, Kava et al. (1994) study limit its usefulness in addressing the question of whether early initiation of ICS prevents progressive decline in lung function. The initial double-blind phase of the Haahtela, Jarvinen, Kava et al. (1994) study was not intended to answer the question of the benefit of immediate versus delayed introduction of corticosteroids, and patients were offered continuation in the study for a third year in an open-label fashion. The open-label phase was not strictly controlled as to factors that might affect the comparability of the immediate and delayed ICS arms, most obviously ICS dosage and seasonality.
There was also a very high dropout rate during the open-label phase of the study: 36 of 53 patients in the delayed ICS group and only 16 of 50 patients in the immediate ICS group were available for analysis at 3 years. Withdrawals were not compared with rest of patients for comparability, and the analysis was not performed in an intent-to-treat manner or using other methods to incorporate dropouts, thereby leaving a high possibility for dropout/withdrawal bias. Although data on the initial and final 3-year outcomes were reported, these data were not complete. There were no statistical tests performed comparing the baseline and 3-year outcomes between the immediate and the delayed ICS groups. There were no SDs reported for the final lung function outcome measures, precluding calculation of these values; thus, the differences reported between the groups are of unknown statistical and clinical significance. For all the above reasons, no conclusions on the relative effects of immediate versus delayed ICS treatment can be drawn from this study.
The randomized controlled trial by Overbeek and coworkers (Overbeek, Kerstjens, Bogaard et al., 1996) is similar to the Haahtela, Jarvinen, Kava et al. (1994) study in that it is an open-label extension of a double-blind, randomized, controlled trial that was designed to evaluate the efficacy of ICS. An important difference is that the Overbeek, Kerstjens, Bogaard et al. (1996) study included patients with COPD as well as asthma, and there are relevant data that were not reported by diagnosis. Of total of 274 patients initially randomized, there were 102 asthmatic patients included in the analysis at the conclusion of the open-label phase of the study.
The original randomized controlled trial compared three treatment groups: inhaled beclomethasone 200 mcg four times daily; inhaled ipratropium 40 mcg four times daily; and placebo. All three groups also received inhaled terbutaline 500 mcg four times daily. After 30 months of treatment in the double-blind randomized controlled trial, the open-phase extension offered ICS to patients in the two groups who had not initially received ICS. Patients in the open-label phase were followed for an additional 6 months. Lung function outcomes were compared for the group of patients who had originally been randomized to ICS ("immediate ICS") and the patients who began ICS after a 30-month period ("delayed ICS").
This study included patients with both asthma and COPD. There were 49 asthmatic patients who received ICS at the start of the original randomized, controlled trial. There were 53 asthmatics among the two other groups who remained in the study during the second phase. Some outcome data were reported separately by diagnosis, but other information, such as withdrawals, was not, resulting in incomplete information on the group of asthmatics. A comparison of the magnitude of improvement seen in the first 3 months of ICS use was reported for the asthmatic population among the immediate ICS group (months 0-3) and the delayed ICS group (months 30-33). Patients in the immediate ICS group had a greater rise in FEV1 during their initial 3 months on ICS as compared to the delayed ICS group, but this difference was not statistically significant (13.8 percent vs. 8.5 percent, p=0.13). The change in PC15 values was compared between the immediate and delayed ICS group for the initial 6 months of ICS treatment (months 0-6 in the immediate group versus months 30-36 in the delayed ICS group). There was a statistically significant difference in the increase in doubling dose for the immediate group as compared to the delayed group (1.77 doubling dose vs. 0.79, p=0.03). It was stated that there were no statistically significant differences in symptom scores between the two groups, but symptom score values were not included in the report.
A number of factors limit the overall relevance of the Overbeek, Kerstjens, Bogaard et al. (1996) study to the key question and thus the ability to draw conclusions. First, the comparisons made in lung function outcomes between the immediate and delayed ICS group were not the most relevant to this key question, as data were not provided to compare baseline and final lung function measures at 36 months. Second, the study population was not confined to mild to moderate asthmatics. The eligibility criterion for FEV1 was somewhat unusual (i.e., 1.64-4.5 residual SDs below the predicted value), making it difficult to compare the severity level of this population to other studies. The mean FEV1 values for the two asthmatic groups were 64.6 (+/− 14.1) and 61.2 (+/− 15.6), indicating that many patients would be classified in the severe range. It is not known how many patients were included at various levels of severity, and results were not stratified by severity level. Third, the initial treatment given to patients in the delayed ICS may have been either as-needed beta-2 agonists only or as-needed beta-2 agonists plus ipratropium. It is possible that the effects of these different treatments on progression of asthma may have an impact on the subsequent response to ICS.
In summary, features of the design, execution, and reporting of the Overbeek, Kerstjens, Bogaard et al. (1996) study, even more so than Haahtela, Jarvinen, Kava et al. (1994), limit its usefulness in addressing the question of whether early initiation of ICS prevents progressive decline in lung function. The initial double-blind randomized controlled trial was not designed to answer the key question, and the second phase of the study was conducted in an open-label fashion. The comparisons reported were only between the initial 3-6 months of ICS treatment for each group, rather than changes over the entire period of the study. For this comparison, only the bronchial hyperresponsiveness outcomes, and not the FEV1 outcomes, were statistically different. The clinical significance of these hyperresponsiveness outcomes is undetermined. There was a high dropout rate, indicating the potential for withdrawal bias. The exact number of asthmatics who dropped out during the study cannot be determined, as these numbers were not reported separately for diagnosis. However, of the original 173 patients included in the placebo and ipratropium groups, only 76 remained in the study for the second phase, 53 of which were asthmatics.
A major limitation of the single-arm studies is that patients enter the study at varying time points in the history of their disease; it is then impossible to compare outcome data at a uniform time point. For example, suppose a study starts with two patient groups; one with a prior duration of asthma of 1 year and another with a prior duration of 5 years and treats both groups with ICS for 1 year. With this design, final outcome data can only be compared 2 years from the time of diagnosis in the first group and 6 years from the time of diagnosis in the second group. For the group with the shorter duration, it cannot be determined what their outcome data will be like at the 6-year time point. A second major limitation in studies of this type is the high potential for selection bias. It is likely that patients with a longer duration of asthma will have more severe disease, both because of disease progression and because asthma is more likely to remit in milder cases. This also will limit the comparison of outcomes between patients with varying duration of disease.
This study enrolled 105 consecutive patients started on ICS in one clinic over a 17-month period, and results were reported for 91 of these patients. The study was probably prospective, but this was not specifically stated. Patients were stratified for their prior duration of asthma: 0-6 months (n=14), 6-12 months (n=35), 12-24 months (n=13), 24-60 months (n=19), 60-120 months (n=15), and greater than 120 months (n=9). All patients were treated with inhaled budesonide for a period of 2 years, at a mean starting dose for the entire population of 374 mcg twice a day. Changes in lung function outcomes (percent predicted FEV1 and percent predicted PEF) was compared among the 6 groups of patients over the 2 years of the study.
All strata were compared to the 0-6 month duration group; and no comparison among strata was reported. The greatest increase in lung function measures occurred in the group with the shortest (0-6 months) duration of asthma (17 percent increase in percent predicted FEV1); and the least increase occurred in the group with the longest (>120 months) duration of asthma (0 percent increase, p<0.01). However, there was not a consistent relationship between asthma duration and outcomes among the six strata. Among the group with asthma of 24-60 months; duration, the change in FEV1 was not statistically significant compared to 0-6 month group, although all groups of shorter and longer duration demonstrated a significant difference in FEV1 change. For the intermediate groups, the improvement in FEV1 ranged between 5 and 8 percent, without a definite relationship demonstrated between duration and degree of increase. For PEF, the 0-6 month group had a 21 percent increase in their percent predicted values, compared with a 2 percent increase in the >120 month group (p<0.05). The intermediate groups had an improvement ranging from 2-12 percent, with statistically significant differences found for the 24-60 month group, the 60-120 month group, and the greater than 120 month group, as compared with the 0-6 month group. PEF increase among the 6-12 and 12-24 groups was not statistically significant compared to the 0-6 month group.
In addition to the general limitations of single-arm studies for this question, other methodologic features limit the ability to draw conclusions from the Selroos, Pietinalho, Lofroos et al. (1995) study. The groupings made on prior duration of asthma were somewhat arbitrary, and the analysis was performed categorically on what really is a continuous variable (duration of asthma). There was evidence of selection bias in that the patient groups had baseline differences in demographics and lung function. Approximately a third of the population were current or ex-smokers, and the proportion of current smokers varied among groups from 0 percent to 29 percent. The study was therefore prone to the confounding effects of age, severity of illness, and smoking in comparing outcomes across groups. Finally, there was inconsistency in the reporting of variance measures, with SDs reported for initial values and standard error of the mean reported for final outcome values. Conversion of standard error of the mean (SEM) to SD suggests that there was high variance in final outcome measures.
As with the open label extensions of the randomized controlled trials described above, the Agertoft and Pedersen (1994) study was not designed to compare the long-term outcomes of early and delayed initiation of ICS treatment. This study was a non-randomized, prospective controlled trial of long term outcomes in 216 children treated with ICS for a mean of 3.7 years compared to 62 children who declined the recommendation for ICS treatment. Patients in the ICS group were stratified by prior duration of asthma for purposes of a supplemental cohort analysis that is relevant to the key question.
Agertoft and Pedersen (1994) classified the duration of asthma in four categories for this analysis: 0-2 years, 2-3 years, 3-5 years, and greater than 5 years. As noted previously in the discussion of Selroos, Pietinalho, Lofroos et al. (1995), such classification schemes are somewhat arbitrary and result in an analysis that is performed categorically on what really is a continuous variable (i.e., duration of asthma). Moreover, the data provided on these strata were incomplete. For example, the baseline characteristics for each stratum were not reported, so that their comparability cannot be assessed. In particular, for this study of children with a mean age of 6.2 years, there is the possibility of confounding with factors associated with age and development. The group with the longest duration of disease consisted of older children (mean age 9.3 years) and the group of shortest duration consisting of younger children (mean age 4.7 years).
The main reported outcome was annual change in percent predicted FEV1, calculated by linear regression. The mean estimated change in FEV1 per year was 8.2 percent for the 0-2 year group, 6.7 percent for the 2-3 year group, 3 percent for the 3-5 year group, and 2.4 percent for the greater than 5 year group. There was a statistically significant correlation between the duration of asthma and the estimated change in FEV1 per year. However, this estimate of annual change in FEV1 by linear regression was not appropriate for the data, since it assumes a linear change in outcomes over the entire course of the study. The change in FEV1 was not linear across duration of study, but rather showed an initial rise associated with initiation of ICS treatment, followed by a plateau. Indeed, a pattern of a sharp initial rise in FEV1 during the first 3 months of ICS treatment is well documented in the literature. The confidence intervals reported indicate that there was no significant difference between the less than 2 and 2-3 year strata or the 3-5 and greater than 5 year strata. This is also suggested by the final FEV1 data, which was reported only for the group of shortest (<2 years) and longest (>5 years) duration.
Thus, Agertoft and Pedersen's (1994) presentation of the data overestimates the treatment differences among groups; and the analysis is prone to the confounding effects of age, duration of asthma and duration of followup. The final FEV1 percent predicted for the less than 2 year group was 101 percent compared with 96.2 percent for the greater than 5 year group (p<0.05). This modest difference between groups of 4.8 percent over a mean of 3.7 years is much less than the 5.8 percent per year difference between these two groups estimated by linear regression. Furthermore, the difference is not adjusted for baseline differences in age and severity of disease, which might decrease the magnitude of difference reported.
The CAMP study (Childhood Asthma Management Program Research Group, 2000a) was a three-arm randomized controlled trial evaluating the outcome effects of ICS or nedocromil sodium compared to placebo in 1,041 children over a mean followup of 4.3 years. The primary outcome measure was postbronchodilator FEV1. Although the design of this study does not directly address the question of immediate versus delayed ICS treatment, the CAMP study provides the most robust evidence to date on long term lung function outcomes in a group of patients treated with ICS and a placebo control group (Childhood Asthma Management Program Research Group, 2000a). As such, the results provide evidence on changes in lung function that occurs over 4 years in children with mild to moderate asthma, and whether treatment with ICS or nedocromil prevents a decline in lung function.
CAMP found no significant difference between treatment and control groups for change in postbronchodilator FEV1, which was the primary outcome (Childhood Asthma Management Program Research Group, 2000a). Postbronchodilator FEV1 was used as the preferred indicator of disease progression to minimize effects of reversible airway constriction and individual variability over time that are observed with prebronchodilator FEV1. The baseline postbronchodilator FEV1 was 103 (+/− 12) percent predicted for the placebo group, 103 (+/− 13) percent predicted for the ICS group, and 102 (+/− 12) percent predicted for the nedocromil group, indicating normal or near normal lung function at the outset of the trial. Overall, changes in postbronchodilator FEV1 were minimal: there was a mean decline of 0.1 percent predicted in the placebo group and 0.5 percent in the nedocromil group, while there was a 0.6 percent increase in the ICS group. These means are adjusted for characteristics at study entry, including baseline value, severity and duration of asthma, age, sex, race, and ethnicity (SD=9.6, estimated by regression model).
The finding of no difference in postbronchodilator FEV1 and minimal change overall in lung function for the entire study population does not support the hypothesis that treatment with ICS can prevent a long-term decline in lung function in mild to moderate asthmatics. CAMP did not find progressive decline in lung function in the placebo group, or significant improvement in the treatment groups (Childhood Asthma Management Program Research Group, 2000a). Had the study reported significant differences in lung function outcomes, then the data would not have allowed a determination of whether early initiation of ICS was superior to delayed initiation. A direct comparison of early versus delayed ICS initiation would then be necessary to evaluate whether irreversible decline in lung function occurs when ICS treatment is delayed.
Similar to the case with lung function outcomes, there was not a progressive decline in symptoms for the placebo group. Symptom scores improved over the course of the study in both the ICS and placebo group, with a greater improvement reported for the ICS group (−0.44 vs. −0.37 on a 0-3 scale, p<0.005). The number of night awakenings also improved in both groups, with no difference between ICS and placebo (−0.7 vs. −0.6 awakenings per month, p=NS). These symptom scores indicate that ICS lead to better symptom control in this population. However, the data do not indicate that there is a progression in severity of symptoms for patients with mild to moderate asthma in the absence of treatment with ICS.
In summary, the CAMP trial did not find progressive decline in lung function over a 4-year period in a population of children with mild-to-moderate asthma managed without ICS; nor was there a significant difference between treated and control groups in change in postbronchodilator FEV1. However, several possibilities limit the generalizability of the results of the CAMP trial. First, it is possible that this length of followup was not adequate to detect significant changes. A trial with longer followup might detect a preventable decline, although the trajectory of changes in lung function for the CAMP population does not suggest that this is likely to be of a large magnitude. A second possibility, as suggested by the CAMP investigators, is that a decline in lung function occurs early in the course of disease and that the patients in the CAMP study, with a prior duration of asthma averaging approximately 5 years, were too far along in their disease course to prevent such an early decline.
Third, it is possible that progressive decline in lung function occurs in patients with more severe disease, but not in the mild to moderate asthmatic population selected for the CAMP trial. Finally, it is possible that the lack of decline in the lung function parameters is due to the care given in the trial apart from ICS. The trial employed an intensive intervention and followup in all groups. This high level of care may have maintained optimal lung function and symptom control to a greater extent than can be achieved under the conditions of usual care.
The evidence on this key question is insufficient to permit conclusions on whether early intervention with long-term controller medications is superior to delayed introduction. The best available evidence does not support the assumption that mild to moderate asthmatics have a progressive decline in lung function that can be prevented by early initiation of long-term controller medications.
The CAMP trial (n=1,041) is the most robust evidence to date on long-term lung function outcomes in a group of patients treated with ICS and a placebo-control group (Childhood Asthma Management Program Research Group, 2000a). Although immediate and delayed initiation of ICS were not directly compared, CAMP provides the strongest prospective evidence available on the natural history of mild to moderate asthma managed without ICS or other long-term controller medication. The CAMP trial did not find progressive decline in lung function over a 4-year period in a population of children with mild to moderate asthma managed without ICS; nor was there a significant difference between treated and control groups in change in postbronchodilator FEV1.
It is possible that the findings of the CAMP study are not generalizable to patients with less intensive overall care. The findings may also not be generalizable over longer periods of followup, to populations newly diagnosed with asthma, to groups of patients with more severe asthma, or to a subset of patients with a more variable disease course. But for the general group of children with mild-to-moderate asthma, there is no convincing evidence that there is a progressive, clinically measurable decline in lung function that can be altered by early initiation of ICS.
The available evidence on immediate vs. delayed initiation of ICS is from four studies that have notable limitations with respect to the relevance of the population, time frames for study entry and followup, clarity of reporting with respect to the details of interest to our question, and the use of appropriate control groups. None of these studies were prospectively designed to address the key question in the specific population of interest. Two studies (n=52 and n=102, respectively) were open-label extensions of randomized controlled trials of the efficacy of ICS, in which the patients initially assigned to the control group were subsequently treated with ICS. There were also two single-arm studies, one of adults (n=105) and one of children (n=216), in which the patients were stratified by duration of asthma prior to initiating ICS treatment and outcomes compared across the strata.
Due to high withdrawal rates, the most relevant of the extension phase randomized trials reported on only 16 patients who received immediate corticosteroid treatment; and no data were provided to test the statistical significance of results at the final 3-year time point. The larger of the extension phase randomized trials did not report on the patient population and outcomes most relevant to this key question. Neither of the single-arm studies clearly demonstrated a relationship between asthma duration and outcomes that was consistent among all strata analyzed.
Key Question 3. In patients with moderate asthma who are receiving ICS, does adding another long-term control agent improve outcomes? Three settings are of interest:
Addition of long-term controller in order to improve asthma control attained with a fixed dose of ICS;
Addition of long-term controller in order to maintain or improve asthma control while titrating ICS to the lowest effective dose.
Addition of long-term controller as an alternative to increasing ICS dose in order to improve asthma control.
This chapter reviews the evidence on the addition of other long-term control medications to ICS. In patients who are being treated with ICS, adding another long-term control medication might be considered in order to improve asthma control; or as a corticosteroid-sparing measure to reduce or avoid increasing the dosage of ICS. Agents of interest are long-acting inhaled beta-2 agonists, theophylline, leukotriene antagonists, and cromolyn/nedocromil. However, there were no studies of the use of cromolyn/nedocromil added to ICS that met the study selection criteria for this systematic review.
The evidence on the addition of each of these long-term controller agents to ICS is grouped into three categories. The first category of studies compares the agent added to a fixed dose of ICS with the same dose of ICS alone. These studies most closely address clinical settings where addition of another long-term controller may achieve better symptom control than that attained with ICS alone. The second category of studies addresses patients who are adequately controlled, but who may benefit from reducing the dose of ICS by titrating to the lowest effective dose after administering an additional agent. The last category of studies compares the addition of an agent to a low-to-moderate ICS dose with an increased dose of ICS. These studies are relevant to the patient population that is receiving submaximal doses of ICS, where a higher dose of ICS is being considered to improve control.
| Citation/Study Design | Eligibility | Estimated Disease Severity | Study Duration (weeks) | Study Arm | # Enrolled # Evaluable | Baseline FEV1 | Age ± SD (or range) | Lung Function Outcomes | Sx / Med Use | QOL | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FEV1 | PEF | PC20 | ||||||||||
| ADDITION OF LONG-ACTING BETA-2 AGONISTS | ||||||||||||
| ||||||||||||
| Aubier, Pieters, Schlosser, et al., 1999 -randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 50% pred; FEV1 maximum 100% pred; PEF (a.m. (home)) minimum 51% of normal; Symptom score >2 on at least 4 of 7 consecutive days | Mod-severe | 28 | FP/placebo | 165 | 2.33 ± 0.8 L | 50 12-76 | X | XX | |||
| FP/salmeterol | 167 | 2.44 ± 0.8 L | 46 12-78 | |||||||||
| Boulet, Cartier, Milot, et al., 1998 -- randomized; crossover, (placebo); double-blinded | FEV1 (Predose) minimum 61% pred; FEV1 (Predose) maximum 100% pred; methacholine PC20 maximum 7.9 | Mild-moderate | 4 | BDP/placebo | 16/15 | 77.3 ± 11.2% pred | 45.3 ± 17.2 | X | XX | |||
| BDP/salmeterol | 16/15 | 76.7 ± 10.0% pred | 45.3 ± 17.2 | |||||||||
| Boyd, 1995- randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 40% pred; Use of >1500 mcg/day ICS, under consideration for oral steroids; At least 2 of: nighttime sx score >1, daytime sx score >2, >8 puffs/day, PEF variability >15% on at least 3 of 7 days | Severe | 12 | BDP/placebo | 64/52 | 1.87 ± 0.74 L | 47 18-73 | X | XX | X | ||
| BDP/salmeterol | 55/48 | 1.78 ± 0.71 L | 47 18-79 | |||||||||
| FitzGerald, Chapman, Della Cioppa, et al., 1999 -randomized; parallel, controlled (placebo); double-blinded | FEV1 min 50%; methacholine PC20 maximum 8; patients on ICS, 400-1200 mcg/day and short-acting beta-agonists for at least one month. Use of rescue med at least 5 of last 7 days; no more than 2 night awakenings/wk | Mild-severe | 24 | ICS/placebo | 91/72 | 2.67 ± 0.74 L | 36 ± 12 | X | X | XX | X | |
| ICS/formoterol + placebo | 89/72 | 2.79 ± 0.79 L | 36 ± 13 | |||||||||
| Grutters, Brinkman, Aslander, et al., 1999 randomized; parallel, controlled; double-blinded | FEV1 (Predose) minimum 61% pred; FEV1 (Predose) maximum 100% pred; Histamine PC20 maximum 3.9 | Moderate | 8 | BDP | 15/15 | 86 ± 15.5% pred | 26 ± 19.4 | X | ||||
| BDP/salmeterol | 12/12 | 79 ± 17.3% pred | 27 ± 20.8 | |||||||||
| Kavuru, Melamed, Gross, et al., 2000 randomized; parallel, controlled; double-blinded | FEV1 minimum 40% of predicted, maximum 85% of predicted; Not more than 3 night awakenings in previous week | Mod-severe | 12 | FP | 90/85 | 2.11 ± 0.7 L | 39 12-67 | XX | X | X | ||
| FP/salmeterol | 92/87 | 2.17 ± 0.6 L | 38 12-70 | |||||||||
| Kemp, Cook, Incaudo, et al., 1998 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 40% pred; FEV1 maximum 80% pred; Average symptom score of at least 1 during run-in period; Using a fixed dose of ICS | Mod-severe | 12 | ICS/Placebo | 254 | 2.17 ± 0.6 L | 41.6 ± 15.9 | X | X | Xa | X | |
| ICS/salmeterol | 252 | 2.16 ± 0.6 L | 42 ± 15.9 | |||||||||
| Langley, Masterson, Batty, et al., 1998 randomized; parallel, controlled; double-blinded | FEV1 (Predose) minimum 50% pred; FEV1 (Predose) maximum 90% pred; Ipratropium (<240 mcg/day) use on >4 of 7 days prior to randomization OK | Mild-moderate; | 4 | ICS/placebo | 24/23 | 2.4 ± 0.64 L | 37.5 20-69 | XX | X | X | ||
| ICS/salmeterol | 25/24 | 2.29 ± 0.54 L | 49 19-68 | |||||||||
| Li, Ward, Thien, et al., 1999 randomized; parallel controlled (placebo); double-blinded | FEV1 (a.m. predose) minimum 60% pred; FEV1 (a.m. predose) maximum 100% pred; PEF variability minimum 16%; Symptom score of >2, or use of rescue medication, on at least 7 of 14 days | Moderate | 12 | BDP/BUD + placebo | 16/16 | 82 ± 12.0% pred | 33 22-68 | X | X | X | ||
| BDP/BUD+ salmeterol | 13/13 | 85 ± 14.4% pred | 38 20-70 | |||||||||
| Pauwels, Lofdahl, Postma, et. al., 1997 randomized; parallel, controlled (placebo); double-blinded (Juniper, Svensson, O'Byrne, et al., 1999 for QOL data) | FEV1 (Predose) minimum 50% pred; FEV1 (Predose) maximum 100% pred | Mild-severe | 52 | BUD/placebo | 213/? | 75.8 ± 17.5% pred | 42 | X | X | X | X | |
| BUD/formoterol | 210/? | 75.7 ± 17.4% pred | 41 | |||||||||
| BUD/placebo | 214/? | 75.4 ± 16.1% pred | 44 | |||||||||
| BUD/formoterol | 215/? | 76.3 ± 16.1% pred | 42 | |||||||||
| Pearlman, Stricker, Weinstein, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m. predose) minimum 50% pred; FEV1 (a.m. predose) maximum 80% pred | Moderate | 4 | FP 88mcg | 23/23 | 2.91 ± 0.6 L | 27 13-50 | X | X | X | ||
| salmeterol/FP | 25/25 | 2.31 ± 0.6 L | 33 4-60 | |||||||||
| FP | 23/23 | 2.52 ± 0.7 L | 32 14-61 | |||||||||
| salmeterol/FP | 21/21 | 2.62 ± 0.5 L | 26 13-52 | |||||||||
| Russell, Williams, Weller, et al., 1995 randomized; parallel, controlled (placebo); double-blinded | PEF (a.m. (home)) maximum 90% pred; PEF variability minimum 15%; Symptoms on at least 7 of prior 14 days | Moderate-severe | 12 | BDP/placebo | 107/89 | 10.3 ± 2.7 | X | X | ||||
| BDP/salmeterol | 99/78 | 10.2 ± 2.7 | ||||||||||
| Shapiro, Lumry, Wolfe, et al., 2000 randomized; parallel, controlled; double-blinded | FEV1min 40% of predicted, max 85% of predicted; No more than 3 night awakenings in prior 2 weeks, no more than 3 of last 14 days with 12 or more puffs rescue medication | Moderate-severe | 12 | FP | 84/66 | 2.12 ± 0.54 L | 40 12-67 | XX | X | X | ||
| FP/salmeterol | 84/81 | 2.23 ± 0.63 L | 38 12-69 | |||||||||
| van der Molen, Postma, Turner, et al., 1997 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m.) minimum 40% pred: At least 5 puffs/week of rescue medication; Regular use of ICS | Mild-severe | 24 | ICS/placebo | 114/113 | 2.16 ± 0.8 L | 45.4±14 | X | X | XX | ||
| ICS/formoterol | 125/125 | 2.29 ± 0.7 L | 40.5 ± 13.7 | |||||||||
| Verberne, Frost, Duiverman, et al., 1998 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 55% pred; FEV1 maximum 90% pred; PC20 of <150 mcg methacholine; No exacerbations or URI for at least 1 month prior to study | Mild-moderate; | 54 | BDP | 57 | 102.2 ± 12% pred | 11.1 ± 2.7 | X | X | X | X | |
| BDP/salmeterol | 60 | 103.5 ± 13.1% pred | 10.8 ± 2.5 | |||||||||
| Weersink, Douma, Postma, et al., 1997 randomized; parallel, controlled (placebo); double-blinded | PEF variability minimum 15%; Methacholine PC20 maximum 9.6; Patients had a history of episodic dyspnea or wheezing consistent with asthma | Mild-severe | 6 | FP | 17/16 | 88.4 ± 19.5% pred | 28 ± 6.2 | X | X | |||
| FP/salmeterol | 16/14 | 83.1 ± 14.4% pred | ||||||||||
| ||||||||||||
| McIvor, Pizzichini, Turner, et al., 1998 randomized; crossover, randomized sequence (placebo); double-blinded | Methacholine PC20 maximum 8; < 4 puff/day rescue beta-agonist. No exacerbations of asthma in last 4 wks | Mild-severe | until mild exacerbation or total ICS withdrawal | ICS/placebo | 17/13 | 77.4 ± 17.2% pred | 43.6 ±10.7 | X | X | X | XX | X |
| ICS/salmeterol | 17/13 | 75.2 ± 16.3% pred | 43.6 ±10.7 | |||||||||
| Nielsen, Pedersen, Faurschou, et al., 1999 rando-mized; parallel, con-trolled (placebo); double-blinded | FEV1 (Predose) min 61% pred; max 100% pred; PEF (a.m. (home)) minimum 61% pred; PEF variability minimum 0%; Total symptom score < 2 on all days of run-in | Mild-moderate | until minimal acceptable ICS dose | BDP/placebo | 19/19 | 86.7% pred 2.98 (Mean) L | 43 | X | X | XX | ||
| BDP/salmeterol | 15/15 | 86.1% pred 2.80 (Mean) L | 45 | |||||||||
| Wilding, Clark, Coon, et al., 1997 randomized; crossover, randomized sequence (placebo); double-blinded | FEV1 (Predose) minimum 50% pred; Patients receiving >400 mcg/day of BDP or BUD, titered during run-in to >200 mcg/day. No exacerbations or URI's in previous 6 wks | Mild-severe | 24 | ICS/placebo | 100/84 | 2.71 ± 0.79 L | 39±10 | X | X | X | XX | |
| ICS/salmeterol | 100/87 | 2.71 ± 0.79 L | 39±10 | |||||||||
| ||||||||||||
| Baraniuk, Murray, Nathan, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m. Predose) minimum 40% pred; FEV1 (a.m. Predose) maximum 85% pred | Mod-severe | 12 | FP/placebo | 223/223 | 63.1 ± 12.2% pred | 40(mean) 12-74 | XX | X | X | ||
| FP/salmeterol | 231/231 | 63.1 ± 11.9% pred | 41(mean) 12-79 | |||||||||
| Bouros, Bachlitzanakis, Kottakis, et al., 1999 randomized; parallel, controlled | FEV1 (Predose) min 40% pred; max 85% pred; Daytime and nighttime symptom score of 2 or greater on at least 4 of 7 days prior to randomization | Mod-severe | 12 | BDP | 65/58 | 2.15 ± 0.75 L | 43±14.9 | X | XX | X | ||
| BDP/formoterol | 69/64 | 2.27 ± 0.79 L | 43±14.9 | |||||||||
| Condemi, Goldstein, Kalberg, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m. Predose) minimum 40% pred; maximum 85% pred; PEF variability minimum 20%; At least 3 days in prior wk with symptoms | Mod-severe | 24 | FP/placebo | 216 | 2.14 ± 0.6 L | 36.8±13.2 | X | X | X | ||
| FP/salmeterol | 221 | 2.12 ± 0.6 L | 39.6±13.4 | |||||||||
| Greening, Ind, Northfield, et al., 1994 randomized; parallel, controlled (placebo); double-blinded (Hyland and Crocker, 1995 for QOL data) | FEV1 minimum 50% pred; PEF variability minimum 15%; Days/wk with symptoms minimum 4 | Mod-severe | 21 | BDP/placebo | 206/206 | 47±15 | XX | X | X | |||
| BDP/salmeterol | 220/220 | 48±15 | ||||||||||
| Kelsen, Church, Gillman, et al., 1999 randomized; parallel, controlled; double-blinded | FEV1 (a.m. Predose) minimum 45% pred; FEV1 (a.m. Predose) maximum 80% pred | Mod-severe | 24 | BDP | 244/240 | 64.14 ± 10.2% pred | 42±12.5 | X | X | X | ||
| BDP/salmeterol | 239/236 | 64.93 ± 10.2% pred | 42.4±13.9 | |||||||||
| Murray, Church, Anderson, et al., 1999 randomized; parallel, controlled; double-blinded | FEV1 (a.m. Predose) minimum 45% pred; maximum 80% pred; >3 nights with awakenings, >3 days with sx or with albuterol use during 7 days prior to randomization | Mod-severe | 24 | BDP | 254/253 | 2.31 L | 41.9 ±14.3 | X | X | X | ||
| BDP/salmeterol | 260/259 | 2.3 L | 42.8±12.9 | |||||||||
| Pauwels, Lofdahl, Postma, et. al., 1997 randomized; parallel, controlled (placebo); double-blinded (Kips, O'Connor, Inman, et al 2000 for QOL data) | FEV1 (Predose) minimum 50% pred; FEV1 (Predose) maximum 100% pred | Mild-severe | 52 | BUD/placebo | 214/? | 75.4 ± 16.1% pred | 44 | X | X | X | X | |
| BUD/formoterol | 210/? | 75.7 ± 17.4% pred | 41 | |||||||||
| Pearlman, Stricker, Weinstein, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m. predose) minimum 50% pred; FEV1 (a.m. predose) maximum 80% pred | Moderate | 4 | FP | 23/23 | 2.52 ± 0.7 L | 32 14-61 | X | X | X | ||
| salmeterol + FP | 25/25 | 2.31 ± 0.6 L | 33 14-60 | |||||||||
| van Noord, Schreurs, Mol, et al., 1999 randomized; parallel, controlled; double-blinded | FEV1 (a.m. predose) minimum 50% pred; maximum 100% pred; PEF variability minimum 15%; Total daytime plus nighttime symptoms score of >1 or use of beta-agonist on >2 occasions in 4 days | Mild-severe | 12 | FP | 135 | 2.39 ± 0.75 L | 47±14 | X | X | X | ||
| FP/salmeterol | 139 | 2.38 ± 0.75 L | 46±15 | |||||||||
| Verberne, Frost, Duiverman, et al., 1998 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 55% pred; FEV1 maximum 90% pred; PC20 of <150 mcg methacholine; No exacerbations or URI for at least 1 month prior to study | Mild-moderate | 54 | BDP | 60/54 | 102.3 ± 11.4% pred | 11.4± 2.9 | X | X | X | X | |
| BDP/salmeterol | 60/55 | 103.5 ± 13.1% pred | 10.8± 2.5 | |||||||||
| Vermetten, Boermans, Luiten, et al., 1999 randomized; parallel, controlled; double-blinded | PEF (Not specified (clinic)) minimum 60% pred; patients on ICS at least 6 weeks and needed beta-agonist rescue medication | Mild-moderate | 12 | BDP | 120 | 42±14 | X | X | X | |||
| BDP/salmeterol | 113 | 42±14 | ||||||||||
| Woolcock, Lundback, Ringdal, et al., 1996 randomized; parallel, controlled; double-blinded | FEV1 minimum 50% pred; PEF (Mean a.m., p.m.) minimum 50% pred; Either daytime plus nighttime symptom score >2, PEF variability >15%, or >4 puffs/day on 4 of 7 days prior to randomization | Mod-severe | 26 | BDP | 251 | 75% pred | 42 17-72 | X | X | X | X | |
| BDP/salmeterol | 243 | 72% pred | 44 18-79 | |||||||||
| BDP/salmeterol | 244 | 71% pred | 46 19-75 | |||||||||
| ADDITION OF THEOPHYLLINE | ||||||||||||
| ||||||||||||
| Emad, 1996 parallel, controlled (placebo) | Objective evidence of airways obstruction during episodes of wheezing or dyspnea, and objective evidence of improved airflow when symptom-free | Moderate-severe; | 24 | BDP/placebo | 40/40 | 1.32 ± 0.19 L | 34.47 ±5.26 | X | X | |||
| BDP/theo | 40/40 | 1.31 ± 0.19 L | 34.52 ± 5.52 | |||||||||
| Meltzer, Orgel, Ellis, et al., 1992 randomized; parallel, controlled (placebo); double-blinded | FEV1 (a.m. Predose) maximum 75% pred | Moderate-severe; | 12 | albuterol/BDP + placebo | 37/33 | 71 ± 18.2% pred | 10 6-16 | X | X | X | ||
| albuterol/BDP + theo | 35/29 | 70 ± 20.1% pred | 10.1 6-16 | |||||||||
| Minoguchi, Kohno, Oda, et al., 1998 randomized; parallel, controlled | PEF minimum 80% pred; PEF variability maximum 20%; All patients already treated with ICS and theophylline | Not specified; | 6 | BDP/theo | 19/18 | 2.36 ± 0.6 L | 45.9 26-65 | X | X | X | ||
| BDP/theo | 19/17 | 2.3 ± 0.6 L | 44.7 19-65 | |||||||||
| Nassif, Weinberger, Thompson, et al., 1981 randomized; crossover, randomized sequence (placebo); double-blinded | Steroid-dependent children with asthma, with a history of frequent hospitalizations and emergency room visits | Not specified; | 4 | BDP/placebo | 22/18 | 13.6 7-19 | ||||||
| BDP/theo | 22/18 | 13.6 7-19 | ||||||||||
| ||||||||||||
| Evans, Taylor, Zetterstrom et al., 1997 | FEV1 minimum 50% pred; FEV1 maximum 85% pred; Nights/week with symptoms minimum 3: Puffs/day minimum 4; Symptom score >2 on >3 days during week prior to randomization | 12 | BUD/placebo | 31/31 | 2.50 ± 0.78 L | 39.5 18-66 | X | XX | X | |||
| BUD/theo | 31/31 | 2.48 ± 1.0 L | 38.1 ± 18-67 | |||||||||
| Ukena, Harnest, Sakalauskas, et al., 1997 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 50% pred; maximum 85% pred; Nights/week with symptoms minimum 3: Puffs/day minimum 4; Symptom score >2 on >3 days during week prior to randomization | Mild-moderate; | 6 | BDP/placebo | 90/64 | 2.4 ± 0.75 L | 49 18-70 | X | XX | X | ||
| BDP/theo | 100/69 | 2.3 ± 0.62 L | 48 20-70 | |||||||||
| ADDITION OF LEUKOTRIENE RECEPTOR ANTAGONISTS | ||||||||||||
| ||||||||||||
| Laviolette, Malmstrom, Lu, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | (Predose) minimum 50% pred; FEV1 (Predose) maximum 85% pred; minimum 64: Puffs/day minimum 1 | Mild-Severe; | BDP/placebo | 200/193 | 71 ± 12% pred (a.m.) | 39 15-78 | XX | X | XX | |||
| BDP/montelukast | 193/193 | 72 ± 12% pred (a.m.) | 40 15-76 | |||||||||
| Tamaoki, Kondo, Sakai, et al., 1997 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 70% pred; PEF (a.m. (home)) minimum 70% pred; Days/wk with symptoms maximum 0.71; Patients already on >1500 mcg ICS and well-controlled >6 weeks | Not specified; | 6 | BDP + theo + placebo | 40/37 | 81.6 ± 14.5% pred | 47 ± 19 | X | X | X | ||
| BDP + theo + pranlukast | 43/42 | 79.1 ± 17.0% pred | 49 ± 19.7 | |||||||||
| Tomita, Hashimoto, Matsumoto, et al., 1999 randomized; parallel, controlled | Patient eligibility based on Lung function and symptoms | Mild-moderate | 8 | BDP | 17/17 | 42.2 ± 16.9 | X | X | ||||
| BDP/pranlukast | 24/24 | 56.7 ± 18 | ||||||||||
| Christian Virchow, Prasse, Naya et al., 2000 randomized; parallel, controlled (placebo); double-blinded | Patient eligibility based on lung function and symptoms; FEV1 minimum 50% pred; FEV1 maximum 75% pred; symptom score > 10/wk (scale, 0-3/d) at end of 2 week baseline period | Mild-severe | 6 | ICS/placebo | 188/188 | 2.01 ± 0.59 L | 49.2 ± 12.9 | X | XX | X | ||
| ICS/zafirlukast | 180/180 | 2.08 ± 0.61 L | 47.4 ± 12.6 | |||||||||
| ||||||||||||
| Lofdahl, Reiss, Leff, et al., 1999 randomized; parallel, controlled (placebo); double-blinded | FEV1 minimum 70% pred | Not specified; | 12 | ICS/placebo | 113/113 | 82.3 ± 12.9% pred | 41 16-68 | X | XX | |||
| ICS/montelukast | 113/112 | 84.8 ± 11.1% pred | 40 17-70 | |||||||||
"X"= outcome reported; "XX"= primary outcome reported
Primary outcome measure was Asthma Quality of Life Questionnaire Global Score.
Primary outcome was proportion of eosinophils.
| Citation | Study Arm | # Enrolled/# Evaluable | Overall Change FEV1 | Treatment Difference | p Value | Overall Change PEF | Treatment Difference | p Value | Overall Change PC20 | Treatment Difference | p Value |
|---|---|---|---|---|---|---|---|---|---|---|---|
| ADDITION OF LONG-ACTING BETA AGONISTS | |||||||||||
| |||||||||||
| Aubier, Pieters, Schlosser, et al., 1999 | FP/placebo | 165 | 0.17 +/− 0.3 L | 15 +/− 39.8 L/min | |||||||
| FP/salmeterol | 167 | 0.25 +/− 0.6 L | 0.08 L | NS | 35 +/− 40.1 L/min | 20.0 L/min | <0.001 | ||||
| Boulet, Cartier, Milot, et al., 1998 | BDP + placebo | 16/15 | −2.30% pred | .10 mg/mL methacholine | |||||||
| BDP + salmeterol | 16/15 | 0.30% pred | 2.60% pred | .40 mg/mL methacholine | 0.30 mg/mL | NS | |||||
| Boyd, 1995 | BDP + placebo | 64/52 | 0.14L | 32L/min | |||||||
| BDP + salmeterol | 55/48 | 0.21L | 0.07 L | NS | 52 L/min | 20.0 L/min | =0.006 | ||||
| FitzGerald, Chapman, Della Cioppa, et al., 1999 | ICS + placebo | 91/72 | 0.01L | 8.0 L/min | 0.92 mg/mL methacholine | ||||||
| ICS + formoterol + placebo | 89/72 | 0.13L | 0.12 L | NS b | 31.0 L/min | 23.0 L/min | <0.05 a | 4.18 mg/mL methacholine | 3.26 mg/mL | <0.001 a | |
| Grutters, Brinkman, Aslander, et al., 1999 | BDP | 15/15 | 9.00% pred | ||||||||
| BDP salmeterol | 12/12 | 15.00% pred | 6.00%pred | NS b | |||||||
| Kavuru, Melamed, Gross, et al., 2000 | FP | 90/85 | 0.28 +/− 0.5 L | 17.3 +/− 41.7 L/min | |||||||
| FP + salmeterol | 92/87 | 0.51 +/− 0.5 L | 0.23 L | <0.001 | 52.5 +/− 50.8 L/min | 35.2 L/min | <0.025 | ||||
| Kemp, Cook, Incaudo, et al., 1998 | ICS; placebo | 254 | 0.15L | 14 L/min | |||||||
| ICS; salmeterol | 252 | 0.42L | 0.27 L | <0.001 | 47 L/min | 33.0 L/min | <0.001 | ||||
| Langley, Masterson, Batty, et al., 1998 | ICS; ipratropium bromide; placebo | 24/23 | 0.65L | −9.00 L/min | |||||||
| ICS; ipratropium bromide; salmeterol | 25/24 | 0.72L | 0.07L | NS | 27.00 L/min | 36.0 L/min | =0.0001 | ||||
| Li, Ward, Thien, et al., 1999 | BDP or BUD Placebo | 16/16 | 1.00% pred | 5.00 L/min | |||||||
| BDP or BUD; Salmeterol | 13/13 | 2.00% pred | 1.00% pred | NS | 35.0 L/min | 30.0 L/min | <0.05 | ||||
| Pauwels, Lofdahl, Postma, et. al., 1997 | BUD 200mcg + placebo | 213/? | 2.2% pred | −11 L/min | |||||||
| BUD 200mcg + formoterol | 210/? | 8.3% pred | 6.1% pred | 17 L/min | 28 L/min | ||||||
| BUD 800mcg + placebo | 214/? | 5.6% pred | 2 L/min | ||||||||
| BUD 800 mcg + formoterol | 215? | 10.4% pred | 4.8% pred | NR | 26 L/min | 24 L/min | NR | ||||
| Pearlman, Stricker, Weinstein, et al., 1999 | FP 88mcg | 23/23 | 0.27L | 10.0 L/min | |||||||
| FP 88 + salmet | 25/25 | 0.59L | 0.32 L | <0.05 | 57.0 L/min | 47.0 L/min | <0.05 | ||||
| FP 220mcg | 23/23 | 0.30L | 25.0 L/min | ||||||||
| FP 220 + salmet | 21/21 | 0.73L | 0.43 L | <0.05 | 32.0 L/min | 7.0 L/min | |||||
| Russell, Williams, Weller, et al., 1995 | BDP + placebo | 107/89 | 4.90% pred | ||||||||
| BDP + salmeterol | 99/78 | 8.20% pred | 3.30% pred | =0.0170 | |||||||
| Shapiro, Lumry, Wolfe, et al., 2000 | FP | 84/66 | 0.25 L | 3.30% pred | |||||||
| FP; salmeterol | 84/81 | 0.48 L | 0.23 L | <0.001 | 11.80% pred | 8.50% pred | NS | ||||
| van der Molen, Postma, Turner, et al., 1997 | ICS; placebo | 114/113 | 0.09L | −2.10 L/min | |||||||
| ICS; formoterol | 125/125 | 0.22L | 0.13L | NS b | 25.90 L/min | 28.0 L/min | <0.001 a | ||||
| Verberne, Frost, Duiverman, et al., 1998 | BDP | 57 | 2.00% pred | 27.30 L/min | 8.00 DD | ||||||
| BDP; salmeterol | 60 | −0.10% pred | −2.10% pred | NS b | 41.80 L/min | 14.50 L/min | NS a | 11.50 DD | 3.50 DD | NS | |
| Weersink, Douma, Postma, et al., 1997 | FP | 17/16 | 13.6% pred | ||||||||
| FP + salmeterol | 16/14 | 9.9% pred | −3.70% pred | NS b | |||||||
| |||||||||||
| McIvor, Pizzichini, Turner, et al., 1998 | ICS placebo | 17/13 | −8.30%pred | 10.0 L/min | 0.0mg/mL meth | ||||||
| ICS + salmeterol | 17/13 | 0.40% pred | 8.70% pred | NS | 32.0 L/min | 22.0 L/min | NS a | −.1mg/mL meth | −0.10mg/mL | NS a | |
| Nielsen, Pedersen, Faurschou, et al, 1999 | BDP placebo | 19/19 | −0.04L | 3.70 L/min | |||||||
| BDP salmeterol | 15/15 | 0.16L | 0.20L | NS b | 17.40 L/min | 13.70 L/min | NS | ||||
| Wilding, Clark, Coon, et al., 1997 | ICS; placebo | 100/84 | 0.00L | 16.00 L/min | |||||||
| ICS; salmeterol | 100/87 | 0.13L | 0.13L | <0.001 | 36.00 L/min | 20.00 L/min | <0.001 a | ||||
| |||||||||||
| Baraniuk, Murray, Nathan, et al., 1999 | FP; placebo | 223/223 | 14.0% pred | 9.00% pred | |||||||
| FP; salmeterol | 231/231 | 16.70% pred | 2.70% pred | 0.018 | 11.00% pred | 2.00% pred | <0.033 | ||||
| Bouros, Bachlitzanakis, Kottakis, et al., 1999 | BDP | 65/58 | 0.20L | 18.60 L/min | |||||||
| BDP; formoterol | 69/64 | 0.28L | 0.08L | NS b | 34.60 L/min | 16.00 L/min | =0.002 | ||||
| Condemi, Goldstein, Kalberg, et al., 1999 | fp; placebo | 216 | 0.33L | 31.30 L/min | |||||||
| FP;salmeterol | 221 | 0.43L | 0.10L | 0.0130 | 52.30 L/min | 21.00 L/min | <0.01 | ||||
| Greening, Ind, Northfield, et al., 1994 | BDP; placebo | 206/206 | 7.00 L/min | ||||||||
| BDP; salmeterol | 220/220 | 27.50 L/min | 20.50 L/min | <0.01 | |||||||
| Kelsen, Church, Gillman, et al., 1999 | BDP | 244/240 | 0.25L | 20.0 L/min | |||||||
| BDP; salmeterol | 239/236 | 0.34L | 0.09L | NS | 46.0 L/min | 26.0 L/min | <0.001 | ||||
| Murray, Church, Anderson, et al., 1999 | BDP | 254/253 | 0.23L | 31.0 L/min | |||||||
| BDP; salmeterol | 260/259 | 0.38L | 0.15L | <0.05 | 49.4 L/min | 18.40 L/min | <0.05 | ||||
| Pauwels, Lofdahl, Postma, et. al., 1997 | BUD; placebo | 214/? | 5.6% pred | 2 L/min | |||||||
| BUD; formoterol | 210/? | 8.3% pred | 2.7% pred | NR | 17 L/min | 15 L/min | NR | ||||
| Pearlman, Stricker, Weinstein, et al., 1999 | FP | 23/23 | 0.30L | 25.0 L/min | |||||||
| FP; salmeterol | 25/25 | 0.59L | 0.29L | <0.05 | 57.0 L/min | 32.0 L/min | <0.05 | ||||
| van Noord, Schreurs, Mol, et al., 1999 | FP | 135 | 0.09L | 19.0 L/min | |||||||
| FP; salmeterol | 139 | 0.09L | 0.0L | NS b | 19.0 L/min | 0.0 L/min | NS a | ||||
| Verberne, Frost, Duiverman, et al., 1998 | BDP | 60/54 | 3.50% pred | 41.10 L/min | 17.00 DD | ||||||
| BDP; salmeterol | 60/55 | −0.10% pred | −3.60% pred | NS b | 41.80 L/min | 0.70 L/min | NS a | 11.50 DD | −5.50 DD | NS | |
| Vermetten, Boermans, Luiten, et al., 1999 | BDP | 120/ | 6.30% pred | ||||||||
| BDP; salmeterol | 113/? | 7.00% pred | 0.70% pred | NS* | |||||||
| Woolcock, Lundback, Ringdal, et al., 1996 | BDP | 251 | 3.2% pred | 3.0% pred | |||||||
| BDP; salmeterol | 243 | 7.2% pred | 4.00% pred | <0.05 | 10.0% pred | 7.00% pred | <0.001 | ||||
| BDP; salmeterol | 244 | 7.2% pred | 4.00% pred | <0.05 c | 10.0% pred | 7.00% pred | <0.001 c | ||||
| ADDITION OF THEOPHYLLINE | |||||||||||
| |||||||||||
| Emad, 1996 | BDP; placebo | 40/40 | 0.17L | 12.60 L/min | |||||||
| BDP; theophylline | 40/40 | 0.51L | 0.34L | 0.0010 | 71.40 L/min | 58.0 L/min | =0.010 a | ||||
| Meltzer, Orgel, Ellis, et al., 1992 | albuterol; BDP; placebo | 37/33 | 22.0% pred | 25.0% pred | |||||||
| albuterol; BDP; theophylline | 35/29 | 28.0% pred | 6.00% pred | NS b | 38.0% pred | 13.0% pred | NS | ||||
| Minoguchi, Kohno, Oda, et al., 1998 | BDP; theophylline | 19/18 | −0.14 | −35.50 L/min | |||||||
| BDP; theophylline | 19/17 | −0.05 | 0.09 | NR | 4.40 L/min | 39.90 L/min | NR | ||||
| Nassif, Weinberger, Thompson, et al., 1981 | BDP; placebo | 22/18 | |||||||||
| BDP; theophylline | 22/18 | ||||||||||
| |||||||||||
| Evans, Taylor, Zetterstrom et al., 1997 | BUD; placebo | 31/31 | 0.11 L | 25.0 L/min | |||||||
| BUD; theophylline | 31/31 | 0.21 L | 0.10 L | 0.03 | 23.0 L/min | −2 L/min | 0.16 | ||||
| Ukena, Harnest, Saka-lauskas, et al., 1997 | BDP; placebo | 90/64 | 0.19L | 22.0 L/min | |||||||
| BDP; theophylline | 100/69 | 0.26L | 0.07L | NS d | 33.0 L/min | 11.0 L/min | NS | ||||
| ADDITION OF LEUKOTRIENE RECEPTOR ANTAGONISTS | |||||||||||
| |||||||||||
| Laviolette, Malmstrom, Lu, et al., 1999 | BDP; placebo | 200/193 | 0.72% pred | 2.65 L/min | |||||||
| BDP; montelukast | 193/193 | 5.08% pred | 4.36% pred | <0.001 | 10.41 L/min | 7.76 L/min | =0.0041 | ||||
| Tamaoki, Kondo, Sakai, et al., 1997 | BDP; theophylline placebo | 40/37 | −0.33L | −46.0 L/min | |||||||
| BDP; theophylline; pranlukast | 43/42 | 0.08L | 0.41L | 0.0070 | 5.00 L/min | 51.00 L/min | <0.0010 | ||||
| Tomita, Hashimoto, Matsumoto, et al., 1999 | BDP | 17/17 | 7.70% pred | ||||||||
| BDP + pranlukast | 24/24 | NS | 9.70% pred | 2.00% pred | <0.05 a | ||||||
| Christian Virchow, Prasse, Naya et al., 2000 | ICS + placebo | 188/188 | 0.09 +/− 0.41 L | 1.5 +/− 52.1 L/min | |||||||
| ICS + zafirlukast | 180/180 | 0.19 +/− 0.54 L | 0.10 L | 0.014 | 18.7 +/− 48.3 L/min | 17.2 L/min | <0.001 | ||||
| |||||||||||
| Lofdahl, Reiss, Leff, et al., 1999 | ICS + placebo | 113/113 | 5.40% pred | ||||||||
| ICS + montelukast | 113/112 | 2.70% pred | −2.70% pred | NS | |||||||
Study was 28 wks. but outcome measures were at 12 wks.
Significance level based on the absolute values at baseline vs. study endpoint.
Compared to group 1
Geometric mean and 95% CI calculated for test/reference ration of baseline-adjusted medians, and equivalence concluded if the lower limit of the CI was above 0.90.
| Citation | Study Arm | # Enrolled/ # Evaluable | Change in Symptom Score | Treatment Difference | p Value | Change in Symptom-Free Days a | Treatment Difference | p Value | Overall Change Puffs per Day | Treatment Difference | p Value | Oral Steroid Use | p Value | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ADDITION OF LONG-ACTING BETA AGONISTS | ||||||||||||||
| ||||||||||||||
| Aubier, Pieters, Schlosser, et al., 1999 | FP + placebo | 165 | 28% b | |||||||||||
| FP + salmeterol | 167 | 38% b | 10% | NS | ||||||||||
| Boulet, Cartier, Milot, et al., 1998 | BDP + placebo | 16/15 | ||||||||||||
| BDP + salmeterol | 16/15 | |||||||||||||
| Boyd, 1995 | BDP + placebo | 64/52 | −0.12 (scale 0-4) | 13 | −2.50 | |||||||||
| BDP + salmeterol | 55/48 | −0.20 (scale 0-4) | −0.08 | NS | 22 | 9% | NS | −5.00 | −2.50 | =0.002 | ||||
| FitzGerald, Chapman, Della Cioppa, et al., 1999 | ICS + placebo | 91/72 | −0.17 (scale 0-4) | −0.53 | 6 events | |||||||||
| ICS + formoterol + placebo | 89/72 | −0.62 (scale 0-4) | −0.45 | <0.0500 | −1.16 | −0.63 | <0.0500 | 3 events | NR | |||||
| Kavuru, Melamed, Gross, et al., 2000 | FP | 90/85 | −0.2 (scale, 0 5) | 7.2% | −0.4 +/− 1.9 | |||||||||
| FP + salmeterol | 92/87 | −0.7 (scale, 0-5) | −0.5 | <0.025 | 22.6% | 15.4% | <0.025 | −1.9 +/− 2.4 | −1.5 | <0.025 | ||||
| Kemp, Cook, Incaudo, et al., 1998 | ICS + placebo | 254 | −0.30 (scale 0-3) | 18% | −1.06 | |||||||||
| ICS + salmeterol | 252 | −0.55 (scale 0-3) | −0.25 | <0.001 | 38% | 20% | <0.001 | −2.73 | −1.67 | <0.001 | ||||
| Langley, Masterson, Batty, et al., 1998 | ICS + placebo | 24/23 | 0.50 (scale ?) | 9.6% | ||||||||||
| ICS + salmeterol | 25/24 | −1.00 (scale ?) | −1.50 | =0.0040 | 39.1% | 29.5% | =0.002 | |||||||
| Li, Ward, Thien, et al., 1999 | BDP or BUD + placebo | 16/16 | −0.15 (scale 0-4) | −0.20 | ||||||||||
| BDP or BUD; + salmeterol | 13/13 | −1.00 (scale 0-4) | −0.85 | <0.05 | −1.10 | −0.90 | <0.05 | |||||||
| Pauwels, Lofdahl, Postma, et. al., 1997 | BUD 200 mcg + placebo | 213/? | 0.07 (scale 0-3) | 41.7% episode-free days b | 0.91 b | |||||||||
| BUD 200 mcg + formoterol | 210/? | −0.06 (scale 0-3) | −0.13 | <0.001 | 51.1% episode-free days b | 9.4% | =0.001 | 0.57 b | −0.34 | <0.001 | ||||
| BUD 800 mcg + placebo | 214/? | 0.04 (scale 0-3) | 45.7% episode-free days b | 0.82 b | ||||||||||
| BUD 800 mcg + formoterol | 215/? | −0.19 (scale 0-3) | −0.23 | <0.001 | 54.8% episode-free days b | 9.1% | =0.001 | 0.44 b | −0.38 | <0.001 | ||||
| Pearlman, Stricker, Weinstein, et al., 1999 | FP 176 mcg | 23/23 | −0.10 (scale 0-3) | 5.0 | −1.1 | |||||||||
| FP 176 + salmeterol | 25/25 | −0.80 (scale 0-3) | −0.70 | <0.05 | 34.0 | 29.0% | <0.05 | −1.5 | −0.40 | NS | ||||
| FP 440 mcg | 23/23 | −0.30 (scale 0-3) | 12.0 | −1.4 | NS | |||||||||
| FP 440 + salmeterol | 21/21 | −0.40 (scale 0-3) | −0.10 | 24.0 | 12.0% | <0.05 | −1.4 | 0.0 | NS | |||||
| Russell, Williams, Weller, et al., 1995 | BDP or equiv + placebo | 107/89 | 18.0 | −0.3 | ||||||||||
| BDP + salmeterol | 99/78 | 45.0 | 27.0% | =0.0080 | −0.8 | −.5 | =0.032 | |||||||
| Shapiro, Lumry, Wolfe, et al., 2000 | FP | 84/81 | −0.40 (scale 0-5) | 15.4 | −0.9 | |||||||||
| FP; salmeterol | 84/66 | −0.8 (scale 0-5) | −0.40 | =0.01 | 33.8 | 18.4% | <0.004 | −2.3 | −1.4 | =0.002 | ||||
| van der Molen, Postma, Turner, et al., 1997 | ICS + placebo | 114/113 | −0.64 (scale 0-21) | −0.4 | 32 pts/55 courses | |||||||||
| ICS + formoterol | 125/125 | −1.28 (scale 0-21) | −0.64 | =0.039 | −1.5 | −1.10 | <0.001 | 33 pts/58 courses | ||||||
| Verberne, Frost, Duiverman, et al., 1998 | BDP | 57 | 0.15 c (median) | 13 courses/10 patients | ||||||||||
| BDP + salmeterol | 60 | 0.19 c (median) | 0.04 | NS | 13 courses/10 patients | |||||||||
| ||||||||||||||
| McIvor, Pizzichini, Turner, et al., 1998 | ICS + placebo | 17/13 | −2,500 mcg/day (−87%) | −1.10 (scale 0-6) | 0.20 | |||||||||
| ICS + salmeterol | 17/13 | −2,115 mcg/day (−69%) | −385 mcg/day (18%) | =0.04 | −1.40 (scale 0-6) | −0.30 | NS | −0.90 | −1.10 | NS | ||||
| Nielsen, Pedersen, Faurschou, et al., 1999 | BDP + placebo | 19/19 | −253 mcg/day (−19.8%) | 0 (0-5 scale) | ||||||||||
| BDP + salmeterol | 15/15 | +42 mcg/day (+3.6%) | −295 mcg/day (23.4%) | <0.01 | −1 (0-5 scale) | −1 | <0.001 | |||||||
| Wilding, Clark, Coon, et al., 1997 | ICS + placebo | 100/84 | −140 mcg/day (20.0%) | 8.0% | ||||||||||
| ICS + salmeterol | 100/87 | −47 (6.5%) | −93mcg/day (13.5%) | <0.001 | 26.0% | 18.0% | <0.001 | |||||||
| ||||||||||||||
| Baraniuk, Murray, Nathan, et al., 1999 | FP + placebo | 223/223 | −0.46 (scale 0-4) | 22.6% | −2.4 | |||||||||
| FP + salmeterol | 231/231 | −0.44 (scale 0-4) | 0.02 | NS | 29.2% | 6.6% | NS | −2.9 | −0.50 | <0.001 | ||||
| Bouros, Bachlitzanakis, Kottakis, et al., 1999 | BDP | 65/58 | −0.50 (scale 0-4) | −0.40 | 5.2% of patients | |||||||||
| BDP + formoterol | 69/64 | −0.80 (scale 0-4) | −0.30 | <0.05 | −0.70 | −0.30 | <0.05 | 12.5% of patients | NS | |||||
| Condemi, Goldstein, Kalberg, et al., 1999 | FP + placebo | 216 | −0.26 (scale 0-4) | 17.5% | −1.55 | |||||||||
| FP + salmeterol | 221 | −0.43 (scale 0-4) | −0.17 | <0.001 | 30.0% | 12.5% | <0.014 | −2.51 | −0.96 | <0.001 | ||||
| Greening, Ind, Northfield, et al., 1994 | BDP + placebo | 206/206 | −0.43 (scale ?) | −26.0 (% days/wk with sx) | −0.90 | |||||||||
| BDP + salmeterol | 220/220 | −0.55 (scale ?) | −0.12 | NS | −31.0 (% days/wk with sx) | 5.00% | NS | −0.90 | 0.00 | NS | ||||
| Kelsen, Church, Gillman, et al., 1999 | BDP | 244/240 | 17.0% | −0.44 (puffs/night) | ||||||||||
| BDP + salmeterol | 239/236 | 33.55 | 16.5% | < 0.05 | −0.52 (puffs/night) | −0.08 | <0.05 | |||||||
| Murray, Church, Anderson, et al., 1999 | BDP | 254/253 | −0.25 (scale 0-4) | 12.05 | −0.95 | |||||||||
| BDP + salmeterol | 260/259 | −0.60 (scale 0-4) | −0.35 | <0.05 | 32.5% | 20.5% | <0.001 | −2.25 | −1.30 | <0.05 | ||||
| Pauwels, Lofdahl, Postma, et. al., 1997 | BUD + placebo | 214/? | 0.04 (scale 0-3) | 45.7% episode-free days b | 0.82 b | |||||||||
| BUD formoterol 12mcg | 210/? | −0.06 (scale 0-3) | 0.10 | NR | 51.1% episode-free days b | 5.4% episode-free days | NR | 0.57 b | −0.25 | NR | ||||
| Pearlman, Stricker, Weinstein, et al., 1999 | FP | 23/23 | −0.30 (scale 0-3) | 12.0% | −1.4 | |||||||||
| salmeterol + FP | 25/25 | −0.80 (scale 0-3) | −0.50 | NS | 34.0% | 22.0% | <0.05 | −1.5 | −0.1 | NS | ||||
| van Noord, Schreurs, Mol, et al., 1999 | FP | 135 | −2.0 (days/wk with sx) | 11% of patients | ||||||||||
| FP + salmeterol | 139 | −2.5 (days/wk with sx) | 0.5 (days/wk with sx) | =0.04 | 12% of patients | 1% of patients | ||||||||
| Verberne, Frost, Duiverman, et al., 1998 | BDP | 60/54 | 0. 33 c (median) | 8 courses/7 patients | ||||||||||
| BDP + salmeterol | 60/55 | 0.19 c (median) | −0.14 | NS | 13 courses/10 patients | |||||||||
| Vermetten, Boermans, Luiten, et al., 1999 | BDP | 120 | −16 (days/wk with sx) | −0.23 | ||||||||||
| BDP + salmeterol | 113 | −19 (days/wk with sx) | 0.03 (days/wk with sx) | NS | −0.40 | −0.17 | <0.05 | |||||||
| Woolcock, Lundback, Ringdal, et al., 1996 | BDP | 251 | 42.0% | 39 patients | ||||||||||
| BDP + salmeterol | 243 | 85.0% | 43.0% | <0.0010 | 35 patients | −4 | ||||||||
| BDP + salmeterol | 244 | 84.0% | 42.0% | <0.0010 | 30 patients | −9 | ||||||||
| ADDITION OF THEOPHYLLINE | ||||||||||||||
| ||||||||||||||
| Emad, 1996 | BDP + placebo | 40/40 | ||||||||||||
| BDP + theo | 40/40 | |||||||||||||
| Meltzer, Orgel, Ellis, et al., 1992 | albuterol + BDP + placebo | 37/33 | 0.22 (scale 0-3) | 6 patients | ||||||||||
| albuterol + BDP + theo | 35/29 | 0.13 (scale 0-3) | −0.09 | NS | 5 patients | |||||||||
| Minoguchi, Kohno, Oda, et al., 1998 | BDP + theo | 19/18 | 2.92 | |||||||||||
| BDP + theo | 19/17 | 0.45 | −2.47 | <0.05 | ||||||||||
| Nassif, Weinber-ger, Thompson, et al., 1981 | BDP + placebo | 22/18 | 50% b | 0.9 c | 9 patients | |||||||||
| BDP + theo | 22/18 | 71% b | 21% | <0.01 | 0.4 c | −0.5 | <0.01 | 2 patients | ||||||
| ||||||||||||||
| Evans, Taylor, Zetterstrom et al., 1997 | BUD + placebo | 31/31 | −0.10 | −0.80 | ||||||||||
| BUD + theo | 31/31 | −0.15 | −0.05 | 0.26 | −0.75 | 0.05 | 0.57 | |||||||
| Ukena, Harnest, Sakalauskas, et al., 1997 | BDP + placebo | 90/64 | −1.00 (scale 0-4) | 0.3 (median) | ||||||||||
| BDP + theo | 100/69 | −0.95 (scale 0-4) | 0.05 | NS | 0.5 (median) | 0.2 | NS | |||||||
| ADDITION OF LEUKOTRIENE RECEPTOR ANTAGONISTS | ||||||||||||||
| ||||||||||||||
| Laviolette, Malmstrom, Lu, et al., 1999 | BDP + placebo | 200/193 | −0.02 (scale 0-6) | |||||||||||
| BDP + montelukast | 193/193 | −0.13 (scale 0-6) | −0.11 | =0.041 | ||||||||||
| Tamaoki, Kondo, Sakai, et al., 1997 | BDP + theo + placebo | 40/37 | 6.30 (episodes/wk) | 21.64 (puffs/wk) | ||||||||||
| BDP + theo + pranlukast | 43/42 | −0.20 (episodes/wk) | −6.50 | =0.033 | 6.29 (puffs/wk) | −15.35 | =0.026 | |||||||
| Tomita, Hashimoto, Matsumoto, et al., 1999 | BDP | 17/17 | 0.20 | |||||||||||
| BDP + pranlukast | 24/24 | −0.40 | −0.60 | |||||||||||
| Christian Virchow, Prasse, Naya et al., 2000 | ICS + placebo | 188/188 | −0.3 +/− 1.4 (scale, 0-3) | 3.48 sx-free days/mo. | −0.2 ± 4.1 | |||||||||
| ICS + zafirlukast | 180/180 | −0.6 +/− 1.3 (scale, 0-3) | −0.3 | <0.001 | 6.19 sx-free days/mo. | 2.71 | NS | −1.3 ± 4.0 | −1.1 | =0.007 | ||||
| ||||||||||||||
| Lofdahl, Reiss, Leff, et al., 1999 | ICS + placebo | 113/113 | 0.12 (scale 0-6) | 0.36 | ||||||||||
| ICS + montelukast | 113/112 | 0.07 (scale 0-6) | −0.05 | NS | 0.29 | −0.07 | NS | |||||||
Change in symptom free days unless noted
Outcome is an absolute value, data for change not given
Not stated if outcome is a change or absolute value
| Citation | QOL Instrument | Treatment Arm | # Eval Pts | Scale(s) | Result | Treatment Difference | p Value | Comments | |
|---|---|---|---|---|---|---|---|---|---|
| ADDITION OF LONG-ACTING BETA AGONISTS | |||||||||
| Studies Using a Fixed ICS Dose in All Study Arms | |||||||||
| Kemp, Cook, Incaudo, et al., 1998 | AQLQ | corticosteroid, inhaled; placebo | Global Activity limitation Asthma symptoms Emotional function Environmental exposure | 0.61 0.54 0.71 0.65 0.47 | Results reported as change from baseline | ||||
| corticosteroid, inhaled; salmeterol 42 mcg | Global Activity limitation Asthma symptoms Emotional function Environmental exposure | 1.08 0.91 1.28 1.17 0.84 | 0.53 0.37 0.57 0.52 0.37 | <0.016 <0.016 <0.016 <0.016 <0.016 | Results reported as change from baseline | ||||
| Pauwels, Lofdahl, Postma, et. Al., 1997 (QOL data reported by Juniper, Svensson, O'Byrne, et al., 1999) | AQLQ | budesonide 100 mcg; placebo | Overall change AQLQ Change activity Change symptoms Change emotional Environmental, change | 0 0.02 0.03 0.05 0.05 | Run-in period there was improvement in QoL in all domains & overall score; improvements were stat. sig (p<.0001) with a change in mean score of ~.50. Scores in all groups were maintained at same level, no evidence of deterioration; 356 pts completed 12 months | ||||
| budesonide 100 mcg; formoterol 12 mcg | Overall change AQLQ Change activity Change symptoms Change emotional Environmental, change | 0.06 0 0 −0.06 −0.25 | 0.06 −0.02 −0.03 −0.11 −0.30 | NS | Following randomization, only the BUD800+formoterol group showed further improvement in AQLQ scores. The mean improvement of 0.2 was less than the minimal important difference of 0.5. In all 4 groups, the QoL achieved 1 month after randomization sustained | ||||
| budesonide 400 mcg; placebo | Overall change AQLQ Change activity Change symptoms Change emotional Environmental, change | 0.1 −0.1 0 0 −0.2 | NS | ||||||
| budesonide 400 mcg; formoterol 12 mcg | Overall change AQLQ Change activity Change symptoms Change emotional Environmental, change | 0.21 −0.3 −0.1 −0.3 −0.3 | 0.11 −0.20 −0.10 −0.30 −0.10 | 0.028 | Correlations between change in AQLQ scores and change in clinical measures over randomization period were only weak to moderate. 356 out of 466 completed study. Don't give n by study group for outcomes | ||||
| Greening, Ind, Northfield, et al., 1994 (QOL reported by Hyland and Crocker, 1995) | Living with Asthma Questionnaire | beclomethasone dipropionate 500 mcg; placebo | 160 | Questionnaire Functional limitation Distress Diary Problem incidence Problem severity | 0.85 0.5 0.35 0.90 | Functional limitation baseline 0.94; Distress baseline 0.61; Problem incidence baseline 0.50; Problem severity baseline 1.00 | |||
| beclomethasone dipropionate 200 mcg; salmeterol 50 mcg | 175 | Questionnaire Functional limitation Distress Diary Problem incidence Problem severity | 0.85 0.56 0.42 0.80 | 0.00 0.06 0.07 0.10 | NS NS 0.02 0.03 | Functional limitation baseline 0.95; Distress baseline 0.63; Problem incidence baseline 0.67; Problem severity baseline 1.25 | |||
| Vermetten, Boermans, Luiten, et al., 1999 | Hyland Quality of Life Questionnaire | beclomethasone dipropionate 400 mcg; | A cold does not hurt me very much I can run as fast as other people my age I can climb a hill as fast as other people my age I can go out at night to a bar without problems Apart from exacerbations I am not troubled by asthma That I cannot do sports frustrates me | NR NR NR NR NR NR | Within group improvement for items 1-5; "A smoky restaurant can spoil a dinner completely" p sig within group; "I never worry about the possibility that my asthma problems may worsen by going on holiday" p sig within group | ||||
| beclomethasone dipropionate 200 mcg; salmeterol 50 mcg | A cold does not hurt me very much I can run as fast as other people my age I can climb a hill as fast as other people my age I can go out at night to a bar without problems Apart from exacerbations I am not troubled by asthma That I cannot do sports frustrates me | NR NR NR NR NR NR | NS NS NS NS NS NS | Within group improvement for items 1-6; "A smoky restaurant can spoil a dinner completely" p NS within or between group; "I never worry about the possibility that my asthma problems may worsen by going on holiday" p NS within or between groups | |||||
| Long-Acting Beta-2 Agonists | Theophylline | Leukotriene Antagonists | |
|---|---|---|---|
| Addition to fixed-dose ICS | 18 comparisons (n=3,163) | 4 comparisons (n=234) | 4 comparisons (n=885) |
| Titrated dose ICS after addition of drug | 3 comparisons (n=268) | 0 comparisons | 1 comparison (n=226) |
| Low-mod dose ICS + additional agent vs. high dose ICS | 13 comparisons (n=4,285) | 2 comparisons (n=252) | 0 comparisons |
The available evidence largely reports on adult populations; 35 of the studies enrolled subjects with a mean age in the range of 27 to 49 years. There is little evidence on children treated with a long-term controller agent added to ICS. Four studies enrolled children with a mean age of approximately 10 to 11 years. Two of the pediatric studies addressed the addition of long-acting beta-2 agonists to ICS; and reported on a total of 383 evaluable patients of whom 167 were treated with long-acting beta-2 agonist (Russell, Williams, Weller et al., 1995; Verberne, Frost, Duiverman et al., 1998). Addition of theophylline was also addressed in two studies of children, which reported on a total of 98 evaluable patients, 47 of whom were treated with theophylline (Meltzer, Orgel, Ellis et al., 1992; Nassif, Weinberger, Thompson et al., 1981).
All of the studies were randomized studies with the exception of one (Emad, 1996) in which patients were sequentially assigned to treatment groups. The vast majority of the studies (34 of 37) employed a parallel group treatment design; three studies (Boulet, Cartier, Milot et al., 1998; McIvor, Pizzichini, Turner et al., 1998; Wilding, Clark, Coon et al., 1997) employed a crossover design. Ten studies had a duration of 24 weeks or greater and an additional study had a duration of 21 weeks. With the exception of two ICS dose-reduction studies that continued until the minimum effective ICS dose was reached for each patient, all other studies were 12 weeks or less in duration.
Of the 39 studies included in this review of evidence, 13 were conducted in North America; 13 were conducted in a single European nation; and 8 were multinational. Of five studies not based in North America or Europe, three were conducted in Japan, one in Australia, and one in Iran. The vast majority of the studies reported pharmaceutical industry funding, but only two studies reported any governmental funding sources (Nassif, Weinberger, Thompson et al., 1981; Tamaoki, Kondo, Sakai et al., 1997).
Quality of study design and conduct was assessed as described in the "Methodology" chapter. The objective was to identify a group of higher quality trials for purposes of sensitivity analysis. The definition for higher quality studies is applicable only to randomized controlled trials and excluded nonrandomized controlled trials and single arm studies. It includes general quality indicators that have been shown to be associated with a bias in magnitude of effect, and asthma-specific study features that control for potential confounders of outcomes.
To be defined as a higher quality study, a randomized controlled trial needed to meet three general quality indicators: (1) double blinding; (2) appropriate handling of exclusions and withdrawals as demonstrated by percentage of excluded patients less than a defined threshold or results analyzed by intent to treat analysis (see "Methodology, Criteria to Define Higher Quality Trials for the Sensitivity Analysis," for details); and (3) concealment of treatment allocation.
In addition, the presence of six features specific to the setting of asthma was assessed. The first was prospectively specified power calculations for primary outcomes. The second criterion was whether the study accounted for the reasons that patients withdrew from the study, particularly regarding the number of patients that were withdrawn due to lack of efficacy. Next, the presence of specific study features designed to control for potential confounders of outcome was assessed. These were: (1) whether reversibility of lung obstruction was established at study entry; (2) whether use of asthma medications other than the study medication was controlled for; (3) whether measures of patient compliance were reported; (4) and whether the influence of seasonal differences on outcomes was addressed.
For the purpose of sensitivity analysis, studies were grouped in three categories. The first was studies meeting all three generic criteria for higher quality. However, for each of the analyses there were insufficient studies for pooling, as a minimum of three studies was required to combine results. Therefore the generic criteria were relaxed to drop the requirement for allocation concealment and created two additional study quality categories for purposes of sensitivity analysis. These were: 2) meets the generic criteria except allocation concealment and meets at least four of the six asthma-specific criteria; and 3) meets the generic criteria except allocation concealment. The third category was least restrictive, and in some cases excluded few of the total studies available for pooling.
| A. Addition of long-acting beta-2 agonists:Studies Using a Fixed ICS Dose in All Study Arms | |||||||||||
| General Quality Indicators | Asthma-Specific Quality Measures | ||||||||||
| Citation | Blinding | % of excluded subjects below specified threshold? | Intent to treat analysis? | Allocation concealed? | Power calculations? | Accounted for excluded patients? | Reversibility established? | Controlled for other medication use? | Reported compliance? | Addressed seasonality? | |
| Aubier, Pieters, Schlosser, et al., 1999 | Yes | No | Yes | NS | No | Yes | No | No | Yes | No | |
| Boulet, Cartier, Milot, et al., 1998 | Yes | Yes | No | NS | Yes | No | No | Yes | No | No | |
| Boyd, 1995 | Yes | No | Yes | Yes | Yes | Yes | Yes | No | No | No | |
| FitzGerald, Chapman, Della Cioppa, et al., 1999 | Yes | No | No | NS | No | No | Yes | No | No | No | |
| Grutters, Brinkman, Aslander, et al., 1999 | Yes | Yes | No | NS | No | No | Yes | NS | No | No | |
| Kavuru, Melamed, Gross, et al., 2000 | Yes | No | Yes | NS | Yes | Yes | Yes | Yes | Yes | No | |
| Kemp, Cook, Incaudo, et al., 1998 | Yes | No | No | NS | Yes | Yes | Yes | NS | No | No | |
| Langley, Masterson, Batty, et al., 1998 | Yes | Yes | Yes | NS | Yes | No | Yes | Yes | No | No | |
| Li, Ward, Thien, et al., 1999 | Yes | Yes | No | NS | No | No | No | NS | No | No | |
| Pauwels, Lofdahl, Postma, et al., 1997 | Yes | No | Yes | NS | No | No | Yes | NS | No | No | |
| Pearlman, Stricker, Weinstein, et al., 1999 | Yes | Yes | Yes | NS | No | Yes | Yes | Yes | No | No | |
| Russell, Williams, Weller, et al., 1995 | Yes | No | Yes | NS | Yes | Yes | No | No | No | No | |
| Shapiro, Lumry, Wolfe, et al., 2000 | Yes | No | Yes | Yes | Yes | Yes | Yes | Yes | Yes | No | |
| van der Molen, Postma, Turner, et al., 1997 | Yes | No | Yes | NS | Yes | Yes | Yes | Yes | No | No | |
| Verberne, Frost, Duiverman, et al., 1998 | Yes | Yes | No | Yes | Yes | Yes | Yes | NS | Yes | No | |
| Weersink, Douma, Postma, et al., 1997 | Yes | No | No | NS | No | Yes | No | Yes | No | No | |
| B. Addition of long-acting beta-2 agonists:Studies that Titrated ICS Dose After Addition of Long-Acting Beta-2 Agonists | |||||||||||
| McIvor, Pizzichini, Turner, et al., 1998 | Yes | No | No | NS | Yes | Yes | Yes | No | No | No | |
| Nielsen, Pedersen, Faurschou, et al, 1999 | Yes | Yes | No | NS | No | No | No | No | No | No | |
| Wilding, Clark, Coon, et al., 1997 | Yes | No | No | NS | No | No | Yes | No | Yes | No | |
| C. Addition of long-acting beta-2 agonists:Studies Using an Increased ICS Dose Alone vs. a Lower ICS Dose Plus Added Medication | |||||||||||
| Baraniuk, Murray, Nathan, et al., 1999 | Yes | Yes | Yes | NS | Yes | Yes | Yes | No | No | No | |
| Bouros, Bachlitzanakis, Kottakis, et al., 1999 | No | Yes | No | NS | Yes | Yes | Yes | Yes | No | No | |
| Condemi, Goldstein, Kalberg, et al., 1999 | Yes | No | Yes | NS | Yes | Yes | Yes | Yes | No | No | |
| Greening, Ind, Northfield, et al., 1994 | Yes | No | Yes | NS | Yes | Yes | Yes | No | Yes | No | |
| Kelsen, Church, Gillman, et al., 1999 | Yes | No | Yes | NS | Yes | Yes | Yes | Yes | No | No | |
| Murray, Church, Anderson, et al., 1999 | Yes | No | Yes | NS | Yes | Yes | Yes | Yes | Yes | No | |
| Pauwels, Lofdahl, Postma, et al., 1997 | Yes | No | Yes | NS | No | No | Yes | NS | No | No | |
| Pearlman, Stricker, Weinstein, et al., 1999 | Yes | Yes | Yes | NS | No | Yes | Yes | Yes | No | No | |
| van Noord, Schreurs, Mol, et al., 1999 | Yes | Yes | No | Yes | No | Yes | Yes | No | No | No | |
| Verberne, Frost, Duiverman, et al., 1998 | Yes | Yes | No | Yes | Yes | Yes | Yes | NS | Yes | No | |
| Vermetten, Boermans, Luiten, et al., 1999 | Yes | No | No | NS | No | No | Yes | Yes | No | No | |
| Woolcock, Lundback, Ringdal, et al., 1996 | Yes | No | Yes | NS | Yes | Yes | Yes | No | No | No | |
| D. Addition of theophylline | |||||||||||
| Studies Using a Fixed ICS Dose in All Study Arms | |||||||||||
| Emad, 1996 | No | Yes | No | No | No | NA | No | NS | No | No | |
| Meltzer, Orgel, Ellis, et al., 1992 | Yes | No | No | NS | No | Yes | Yes | Yes | Yes | No | |
| Minoguchi, Kohno, Oda, et al., 1998 | NS | No | No | NS | No | No | No | NS | No | No | |
| Nassif, Weinberger, Thompson, et al., 1981 | Yes | Yes | No | Yes | No | Yes | No | No | Yes | No | |
| Studies Using an Increased ICS Dose Alone vs. a Lower ICS Dose + Added Medication | |||||||||||
| Evans, Taylor, Zetterstrom et al., 1997 | Yes | Yes | No | NS | Yes | No | Yes | Yes | Yes | No | |
| Ukena, Harnest, Saka-lauskas, et al., 1997 | Yes | No | No | NS | Yes | Yes | No | Yes | Yes | Yes a | |
| E. Addition of Leukotriene Receptor Antagonists | |||||||||||
| Studies Using a Fixed ICS Dose in All Study Arms | |||||||||||
| Laviolette, Malmstrom, Lu, et al., 1999 | Yes | No | No | NS | Yes | Yes | Yes | Yes | Yes | No | |
| Tamaoki, Kondo, Sakai, et al., 1997 | Yes | Yes | No | NS | No | Yes | No | No | No | No | |
| Tomita, Hashimoto, Matsumoto, et al., 1999 | No | Yes | No | No | No | NA | No | No | No | ||
| Christian Virchow, Prasse, Naya et al., 2000 | Yes | Yes | Yes | NS | No | Yes | Yes | Yes | Yes | No | |
| Studies that Titrated ICS Dose After Addition of Leukotriene Antagonist | |||||||||||
| Lofdahl, Reiss, Leff, et al., 1999 | Yes | No | Yes | NS | Yes | Yes | Yes | NS | No | Yes a | |
Dark shading - Met strict criteria for high quality study
Dark shading - met all specific criteria (except seasonality)
Light shading - Met modified criteria for high quality
Light shading - Met most specific criteria, (> 4)
Continuous enrollment over a short (<3 months) fixed period of time
When allocation concealment was not required as a criterion for high quality, all of the studies except three (FitzGerald, Chapman, Della Cioppa et al., 1999; Kemp, Cook, Incaudo et al., 1998; Weersink, Douma, Postma et al., 1997) met the remaining two generic criteria. Three of these studies also met at least four of the asthma-specific criteria (Kavuru, Melamed, Gross et al., 2000; Shapiro, Lumry, Wolfe et al., 2000; van der Molen, Postma, Turner et al., 1997). Overall, the majority of studies established reversibility (11 of 16), accounted for excluded patients (10 of 16), and reported power calculations (9 of 16). Seven of the studies controlled for other medication use; four reported the extent of patient compliance; none addressed seasonality.
Of the three studies that added long-acting beta-2 agonists and titrated ICS to minimum effective dose, none met all three generic quality indicators. One of the three (Nielsen, Pedersen, Faurschou et al., 1999) met the two generic indicators besides allocation concealment. None of the three studies met at least four of the asthma-specific indicators.
Of the 12 trials that compared addition of a long-acting beta-2 agonist to an increased ICS dose, two studies met all three general quality criteria (van Noord, Schreurs, Mol et al., 1999; Verberne, Frost, Duiverman et al., 1998). Both of these studies were double blinded and had adequate allocation concealment. van Noord, Schreurs, Mol et al. (1999) was a 12-week study in which the percentage of exclusions was below the predefined thresholds. Verberne, Frost, Duiverman et al. (1998) was a year-long study in children in which the percentage of exclusions was also below the thresholds; this study also met at least four of the six asthma-specific criteria.
When allocation concealment was not required as a criterion for high quality, all of the studies except two (Bouros, Bachlitzanakis, Kottakis et al., 1999; Vermetten, Boermans, Luiten et al., 1999) met the remaining two generic criteria. Five of these studies also met more than four of the asthma-specific criteria (Bouros, Bachlitzanakis, Kottakis et al., 1999; Condemi, Goldstein, Kalberg et al., 1999; Greening, Ind, Northfield et al., 1994; Kelsen, Church, Gillman et al., 1999; Murray, Church, Anderson et al., 1999; Verberne, Frost, Duiverman et al., 1998). Overall, the majority of studies established reversibility (11 of 12), accounted for excluded patients (10 of 12), and reported power calculations (7 of 12). Five controlled for other medication use; only three reported compliance and none addressed seasonality.
Of the six trials evaluating the addition of theophylline, none met all three generic indicators of quality. Two of the six trials (Nassif, Weinberger, Thompson et al., 1981; Evans, Taylor, Zetterstrom et al., 1997) met all of the generic indicators besides allocation concealment. Evans, Taylor, Zetterstrom et al. (1997) also met four of the six asthma-specific quality indicators while Nassif, Weinberger, Thompson et al. (1981) did not. Only two of the six trials reported power calculations; three accounted for excluded patients; two established reversibility; three controlled for other medication use; four reported compliance; and one addressed seasonality.
Of the five trials evaluating the addition of leukotriene antagonists, none met all three generic indicators of quality. Three of the five (Tamaoki, Kondo, Sakai et al., 1997; Lofdahl, Reiss, Leff et al., 1999; Christian Virchow, Prasse, Naya et al., 2000) met all of the generic indicators besides allocation concealment; Christian Virchow, Prasse, Naya et al., (2000) also met at least four of six asthma-specific quality indicators while the other two did not. Only two of the five trials reported power calculations; four accounted for excluded patients; three established reversibility; two controlled for other medication use; two reported compliance; and one addressed seasonality.
Sixteen studies, enrolling a total of 3,163 patients, compared addition of a long-acting beta-2 agonist to fixed-dose ICS vs. the same dose of ICS without addition of long-acting beta agonist. Study size ranged from 27-852 patients. The two largest studies enrolled about 200 (Pauwels, Lofdahl, Postma et al., 1997) and 250 (Kemp, Cook, Incaudo et al., 1998) patients per study arm. Two additional studies (van der Molen, Postma, Turner et al., 1997; Russell, Williams, Weller et al., 1995) enrolled approximately 100 patients per study arm, with the remaining studies enrolling fewer patients.
These studies were largely short-term, with 11 of the 16 being 12 weeks' duration or less. Two studies (Pauwels, Lofdahl, Postma et al., 1997; Verberne, Frost, Duiverman et al., 1998) were approximately 1 year in duration, while three other studies (Aubier, Pieters, Schlosser et al., 1999; FitzGerald, Chapman, Della Cioppa et al., 1999; van der Molen, Postma, Turner et al., 1997) were approximately 6 months in duration. Of note, the trial by Pauwels, Lofdahl, Postma et al. (1997) was both the largest in terms of number of patients and had the longest duration of followup.
Fourteen trials enrolled an adult population. Of the two pediatric trials, Verberne, Frost, Duiverman et al. (1998) enrolled children between the ages of 6 and 16 years old, with a mean age of approximately 11 years old. Russell, Williams, Weller et al. (1995) enrolled patients between the ages of 4 and 16 years, with a mean age of 10.3 years. In the remaining studies of adults, the mean age ranged from 26-50 years of age.
Study eligibility was most commonly based on lung function measures, with all of the trials basing eligibility partly or completely on lung function parameters. Thirteen studies specified a minimum FEV1 percent predicted, ranging from 40-61 percent. One study specified only a maximum FEV1, which was 90 percent predicted (Russell, Williams, Weller et al., 1995); and the two remaining studies (FitzGerald, Chapman, Della Cioppa et al., 1999; Weersink, Douma, Postma et al., 1997) specified eligibility based on bronchial hyperresponsiveness (methacholine PC20 maximum of 8 and 9.6, respectively). Seven studies had additional eligibility criteria based on symptoms and five studies included eligibility criteria based on medication use. These studies generally selected patients who were not adequately controlled on their current regimen; however, the level of symptoms or medication used to define inadequate control varied, with each study setting different thresholds.
Asthma severity for these study populations was estimated using the 1997 NHLBI classification scheme (National Heart, Lung, and Blood Institute, 1997). In most cases, severity was estimated by baseline FEV1 percent predicted; when reported, baseline measure of symptom frequency was used together with FEV1. With one exception (Boyd, 1995), all studies included patients with moderate asthma, but most studies were not confined to a population with moderate severity. The population in Boyd (1995) was judged to be severe based on the frequency of symptoms, particularly at night.
Three studies were confined to patients with moderate severity (Grutters, Brinkman, Aslander et al., 1999; Li, Ward, Thien et al., 1999; Pearlman, Stricker, Weinstein et al., 1999); three included patients in the mild-moderate range (Boulet, Cartier, Milot et al., 1998; Langley, Masterson, Batty et al., 1998; Verberne, Frost, Duiverman et al., 1998); in five studies the range was moderate-severe (Aubier, Pieters, Schlosser et al., 1999; Kavuru, Melamed, Gross et al., 2000; Kemp, Cook, Incaudo et al., 1998; Russell, Williams, Weller et al., 1995; Shapiro, Lumry, Wolfe et al., 2000); and five studies included the range from mild to severe (FitzGerald, Chapman, Della Cioppa et al., 1999; Pauwels, Lofdahl, Postma et al., 1997; van der Molen, Postma, Turner et al., 1997; Weersink, Douma, Postma et al., 1997).
Applying the NHLBI'S ICS dose classification scheme (National Heart, Lung, and Blood Institute, 1997), the baseline ICS dose was low in four (Kavuru, Melamed, Gross et al., 2000; Li, Ward, Thien et al., 1999; Pauwels, Lofdahl, Postma et al., 1997; Pearlman, Stricker, Weinstein et al., 1999), low-medium in one (Kemp, Cook, Incaudo et al., 1998), low-high in four (Boulet, Cartier, Milot et al., 1998; FitzGerald, Chapman, Della Cioppa et al., 1999; Langley, Masterson, Batty et al., 1998; van der Molen, Postma, Turner et al., 1997), medium in five (Grutters, Brinkman, Aslander et al., 1999; Pearlman, Stricker, Weinstein et al., 1999; Shapiro, Lumry, Wolfe et al., 2000; Verberne, Frost, Duiverman et al., 1998; Weersink, Douma, Postma et al., 1997), medium-high in one study of children (Russell, Williams, Weller et al., 1995), and high in three (Aubier, Pieters, Schlosser et al., 1999; Boyd, 1995; Pauwels, Lofdahl, Postma et al., 1997) of the 18 comparisons reported in this group of studies (See Evidence Table 3-3, "Population Characteristics," for details on ICS dose).
FEV1 outcomes were reported for 15 of the 16 trials. The direction of results favored the long-acting beta-2 agonists group in 12 of 15 trials; results were statistically significant in four of these trials (Kavuru, Melamed, Gross et al., 2000; Kemp, Cook, Incaudo et al., 1998; Pearlman, Stricker, Weinstein et al., 1999; Shapiro, Lumry, Wolfe et al., 2000). Three trials (Boyd, 1995, Verberne, Frost, Duiverman et al., 1998; Weersink, Douma, Postma et al., 1997), reported results favoring ICS alone, but no differences were significant. Seven studies reported FEV1 outcomes as percent predicted; the treatment effect (i.e., difference in change from baseline between the long-acting beta-2 agonist group and the ICS alone group) ranged from −3.7 to 6.0 percent predicted. Eight studies reported FEV1 outcomes in liters, with treatment effect ranging from −0.1 to 0.43 liters.
Thirteen studies reported morning PEF outcomes, measured by the patient on a daily basis in nearly all cases. The results favored long-acting beta-2 agonists in all studies, and were statistically significant in 10. The treatment effect ranged from 7 to 47 L/min in the 11 studies that reported PEF in this unit of measure. In the two studies that reported PEF as percent predicted, the difference was 3.3 percent (Russell, Williams, Weller et al., 1995) and 8.5 percent (Shapiro, Lumry, Wolfe et al., 2000). Only three studies reported on PC20 outcomes; one found a significant difference (3.26mg/mL methacholine) favoring the long-acting beta-2 agonist group (FitzGerald, Chapman, Della Cioppa et al., 1999).
| Meta-Analysis | Effect Size Estimate | 95% CI | Test for Homogeneity p Value | Treatment Effect Estimate | 95% CI |
|---|---|---|---|---|---|
| FEV1: Combined studies (N=14) | 0.334 | 0.241, 0.428 | 0.10 | 0.17 L 3.71% pred | 0.12, 0.22 2.67, 4.75 |
| FEV1: Sensitivity analysis by quality: studies that that meet all generic quality criteria except allocation concealment and meet most (>4) of asthma-specific criteria (N=3) | 0.319 | 0.139, 0.499 | 0.14 | 0.17 L 3.43% pred | 0.07, 0.26 1.54, 5.54 |
| FEV1: Sensitivity analysis by quality: studies that meet all generic quality criteria except allocation concealment (N=11) | 0.368 | 0.257, 0.478 | 0.20 | 0.19 L 4.08% pred | 0.13, 0.25 2.85, 5.30 |
| PEF: Combined studies (N=9) | 0.581 | 0.417, 0.745 | 0.0034 | 24.68 L/min 7.26% pred | 17.70, 31.65 5.21, 9.31 |
| PEF: Sensitivity analysis by quality: studies that that meet all generic quality criteria except allocation concealment and meet most (>4) of asthma-specific criteria (N=4) | 0.643 | 0.460, 0.826 | 0.17 | 27.33 L/min 8.04% pred | 19.55, 35.10 5.75, 10.32 |
| PEF: Sensitivity analysis by quality: studies that meet all generic quality criteria except allocation concealment (N=8) | 0.630 | 0.478, 0.781 | 0.06 | 26.77 L/min 7.88% pred | 20.32, 33.19 5.98, 9.76 |
For the category of the addition of long-acting beta-2 agonist to a fixed ICS dose, two studies were omitted from both meta-analyses because they were restricted to children (Russell, Williams, Weller et al., 1995; Verberne, Frost, Duiverman et al., 1998). Four additional studies were omitted from the PEF meta-analysis due to insufficient data (Boulet, Cartier, Milot et al., 1998; FitzGerald, Chapman, Della Cioppa et al., 1999; Grutters, Brinkman, Aslander et al., 1999; Pauwels, Lofdahl, Postma et al., 1997).
Sensitivity analysis by study quality did not greatly alter effect size. Estimated treatment effect is 0.17 L and 3.43 percent predicted in the more restrictive sensitivity analysis and 0.19 L and 4.08 percent predicted in the less restrictive sensitivity analysis; compared to 0.17 L, or 3.71 percent predicted when all studies are combined.
For PEF, nine studies were combined (n=1,678) that reported 10 comparisons (Pearlman, Stricker, Weinstein et al., [1999] was a four-arm study represented as two two-arm studies) (Figure 2
A chi-square test for homogeneity was significant (p=0.0034), suggesting heterogeneity among studies. Several reasons may contribute to this, including PEF variability and sample size. PEF is an inherently more variable outcome than FEV1. This is, in part, because PEF is measured and reported by the patient and is subject to the level of instruction and compliance achieved in each study setting. The fact that the studies combined for FEV1, which include all studies combined for PEF, appear homogeneous by the same test, lends further support to PEF measurement being a strong source of variation. In addition, the larger sample size of 5 of the 11 studies could reduce within-study variation and increase the significance of the test for homogeneity. Thus, the meta-analysis for PEF estimates only the average effect across the various populations included in this study, and cannot distinguish differences among these heterogeneous populations. Nevertheless, individual study results indicate predominantly significant effect sizes in favor of the addition of long-acting beta-2 agonist.
Sensitivity analysis by study quality did not greatly alter the summary effect size. For the four studies (n=672) that met all generic study quality criteria except allocation concealment and met at least four of the asthma-specific criteria, the combined effect size was 0.643. For the eight studies (n=1,172) that met the less restrictive study quality criteria, the combined effect size was 0.630.
Studies were also stratified into two levels for each of four potentially confounding variables: baseline ICS dose, treatment duration, mean patient age, and mean baseline FEV1 as a surrogate for baseline disease severity (Meta-Analysis Tables 3-18 and 3-19). FEV1 effect size was greater for the 4 (n= 672) studies administering a low ICS dose compared to 12 (n= 2,089) studies with patients receiving higher doses; the difference in effect sizes was 0.22 (95 percent CI, 0.03-0.40). This confidence interval approaches, but does not cross zero, indicating a difference that is barely statistically significant. This result suggests that when baseline ICS dose is low, the magnitude of improvement in lung function achieved by the addition of a long-acting beta-2 agonist may be larger. However, this result should be interpreted with caution due to the lack of control for other potential confounders. Moreover, the only trials that directly compared the addition of long-acting beta-2 agonist to a low and a higher dose of ICS found no difference in treatment effect (Pauwels, Lofdahl, Postma et al., 1997; Pearlman, Stricker, Weinstein et al., 1999).
Combined studies with higher mean baseline FEV1 had a greater FEV1 effect size than those with a lower baseline FEV1, but this difference was not statistically significant. FEV1 results stratified by age and treatment duration varied little and not significantly.
Stratified analysis was not considered useful for PEF effect sizes, as the group of studies of low-dose baseline ICS studies available for combination was merely a subset of three of the four low-dose ICS studies that were used for analysis of FEV1, and did not include the largest study (Pauwels, Lofdahl, Postma et al., 1997).
The most common symptom or medication use outcome reported was supplemental beta-2 agonist use. Eleven studies reported on the outcome, generally in units of puffs/day. The direction of results of 10 studies favored long-acting beta-2 agonists, and in 9, the differences were statistically significant. In these 10 studies, the long-acting beta-2 agonists groups used from 0.3 to 2.5 fewer puffs/day than the ICS-alone groups. The baseline supplemental beta-2 agonist use ranged from about 2 to 5 puffs/day in most studies; Boyd (1995) was an exception, enrolling patients with severe asthma and a baseline use of approximately 10 to 11 puffs/day. In the Verberne, Frost, Duiverman et al. (1998) pediatric study, the long-acting beta-2 agonists group used a median of 0.04 more puffs/day than the ICS-alone group (baseline use not reported), but the difference was not significant.
Ten studies reported daytime symptom score outcomes, but the method of reporting was not standardized. Scores were generally reported on a 3, 4 or 5-point scale. The direction of results favored long-acting beta-2 agonists in all 10 studies, 9 of which reported a statistically significant difference. The range of treatment effect was from 0.08 (0-4 scale) to 0.85 (0-4 scale). Langley, Masterson, Batty et al. (1998) reported a treatment difference in symptom scores of 1.5, but the symptom scale was not described. Only 4 of 10 studies (Boyd, 1995; FitzGerald, Chapman, Della Cioppa et al., 1999; Kemp, Cook, Incaudo et al., 1998; Pauwels, Lofdahl, Postma et al., 1997) reported nighttime symptom scores; all results were significant and in favor of the addition of long-acting beta-2 agonists.
Nine studies reported on symptom-free days, episode-free days, or provided information that could be used to calculate these values. The direction of results in all studies favored long-acting beta-2 agonists; and in six of nine studies, the difference was statistically significant. The net improvement in symptom-free days ranged from 9 percent to 29.5 percent, or a gain of about 3 to 10 symptom-free days per month. Oral corticosteroid use was reported in only three studies. The number of patients receiving oral corticosteroids was similar and no tests of statistical significance were reported. Only five studies reported on acute exacerbation frequency; two studies reported significant differences between treatment arms, two reported no significant difference, and one reported no test of significance. Measures of exacerbation frequency varied, making it difficult to compare results across studies.
Quality of life data were reported in two studies (Kemp, Cook, Incaudo et al., 1998; Juniper, Svensson, O'Byrne et al., 1999). Juniper, Svensson, O'Byrne et al. (1999) reported quality of life data for a subset of patients in the Pauwels, Lofdahl, Postma et al. (1997) trial. Both of these studies used the AQLQ as their measurement instrument. The AQLQ is a validated asthma-specific quality of life measure that reports scores for global quality of life (QOL) as well as subscales for activity limitation, asthma symptoms, emotional function, and environmental exposure. Kemp, Cook, Incaudo et al. (1998) reported that all the scales on the AQLQ improved significantly more in the long-acting beta-2 agonist group. The range of improvement for the beta-2 agonist group ranged from 0.84-1.28 for the salmeterol group, compared with 0.47-0.71 for the ICS-alone group. The authors of this study used a definition of 0.5 units as a small clinically significant change, and a 1.0 unit improvement as a moderate clinically significant change. Juniper, Svensson, O'Byrne et al. (1999) reported improvements in AQLQ for the run-in period of approximately 0.5-0.6 units for all four treatment groups. During the treatment period, a further improvement of 0.21 units was reported for the high-dose ICS plus long-acting beta-2 agonists, but not for the other three groups.
| Meta-Analysis | Treatment Effect Estimate | 95% CI | Test for Homogeneity p Value |
|---|---|---|---|
| Puffs/day: Combined Studies (N=6) | − 1.18 | − 1.56, − 0.80 | 0.018 |
| Puffs/day: Sensitivity analysis by quality: studies that that meet all generic quality criteria except allocation concealment and meet most (>4) of asthma-specific criteria (N=3) | − 1.34 | − 1.87, − 0.84 | 0.20 |
| Puffs/day: Sensitivity analysis by quality: studies that meet all generic quality criteria except allocation concealment (N=5) | − 1.00 | − 1.34, − 0.66 | 0.14 |
Meta-analysis of medication use outcomes is limited by several factors. First, only a limited number of the included studies reported data in sufficient detail for combination. Second, most studies include patients with disease severity ranging from moderate to severe, with baseline puffs/day in the range of 2-5. An exception is Boyd (1995), which enrolled only patients with severe disease with correspondingly higher baseline puffs/day. This may contribute to study heterogeneity. Finally, endpoint results may have a non-normal distribution for this variable that is skewed toward zero; analyzing change rather than endpoint values alleviates this problem as much as possible. Thus, the results suggest a statistically significant reduction in the use of short-acting beta-2 agonists when long-acting beta-2 agonists are added to ICS use; however, the estimated magnitude of effect may not be reliable.
Combined analysis on the symptom score outcomes, the percent of symptom-free days, oral corticosteroid use, acute exacerbation frequency, and quality of life data was not deemed appropriate. These outcomes had extensive missing data for combined analysis, including lack of reporting of measures of variance, statistical tests used, and exact p-values, and/or variation across studies in units of measure. Symptom score outcomes were further limited by differences in the scales used.
The evidence on the effects of adding a long-acting beta-2 agonist to a fixed dose of ICS is relatively robust, with 14 randomized clinical trials enrolling over 2,800 adult patients. However, pediatric studies were limited to two trials that reported on 323 evaluable patients, only 167 of whom were treated with long-acting beta-2 agonist. The studies generally reported on short-term outcomes observed over 12 weeks or less. Several studies reported longer-term outcomes, up to 1 year, but no studies reported outcomes longer than 1 year.
The results of these studies consistently favor the addition of long-acting beta-2 agonists to ICS compared to ICS alone. In almost all cases, endpoint FEV1 and morning, patient-measured PEF show greater improvements in the combined medication group compared with ICS alone. Most studies also reported reductions in supplemental beta-2 agonist use. Symptom score outcomes and symptom frequency outcomes also favored the beta-2 agonist group in most studies in which they were reported.
Combined analyses found a statistically significant effect of beta-2 agonists on the outcomes of FEV1 (n=2,781), PEF (n=1,678), and puffs/day of supplemental beta-2 agonists (n=1,142). The estimated treatment effect for FEV1 was 0.17 L (95 percent CI, 0.12-0.22), or 3.71 percent predicted (95 percent CI, 2.67-4.75). For PEF, the estimated treatment effect was 24.68 L/min (95 percent CI, 17.70-31.65), or 7.26 percent predicted (95 percent CI, 5.21-9.31). The estimation for supplemental beta-2 agonist use was 1.18 fewer puffs/day (95 percent CI, −1.56 to −0.84). Sensitivity analysis by study quality did not greatly alter effect size.
The magnitude of improvement in lung function outcomes is difficult to put into clinical perspective, given the lack of benchmarks for clinically meaningful changes in these outcome measures. Symptom score outcomes, which were not combined due to the variety of scales, present a similar difficulty. For supplemental beta-2 agonist use, the results suggest on average approximately one less puff/day, or 15 fewer "treatments" (two puffs) with rescue medication per month. However, given the small number of studies available for meta-analysis and the non-normal distribution for this parameter, the estimate may not be accurate; nonetheless, the effect is likely to be statistically significant. For symptom frequency outcomes, which were not combined due to lack of sufficient data, gains in symptom-free days in the range of 3-10 per month were reported.
Three trials, enrolling a total of 151 patients, had as the primary outcome reduction in the dose of ICS after starting treatment with long-acting beta-2 agonists (McIvor, Pizzichini, Turner et al., 1998; Nielsen, Pedersen, Faurschou et al., 1999; Wilding, Clark, Coon et al., 1997). Two of the studies were randomized crossover trials (McIvor, Pizzichini, Turner et al., 1998; Wilding, Clark, Coon et al., 1997), and the third was a randomized parallel group trial (Nielsen, Pedersen, Faurschou et al., 1999). All were placebo controlled.
The largest trial (Wilding, Clark, Coon et al., 1997) was a crossover trial that enrolled 100 patients, with each treatment period lasting 6 months. The other two trials (McIvor, Pizzichini, Turner et al., 1998; Nielsen, Pedersen, Faurschou et al., 1999) enrolled 17 and 34 patients respectively and had a variable treatment period. McIvor, Pizzichini, Turner et al. (1998) treated until patients experienced an exacerbation of asthma or had completely withdrawn ICS. Nielsen, Pedersen, Faurschou et al. (1999) treated patients until they reached a pre-defined "minimal acceptable dose" of ICS. Due to the small size of two of the three studies, it was judged inappropriate to perform combined analysis of outcomes.
All three trials enrolled an adult population with a mean age ranging from 39 to 45 years. Eligibility criteria included lung function, symptoms, and medication use parameters. The presence of stable asthma was established in all three studies by a maximum threshold for symptoms, medication use, and prior exacerbations. Severity of asthma was estimated to range from mild to severe in two of the studies (McIvor, Pizzichini, Turner et al., 1998; Wilding, Clark, Coon et al., 1997), and to be in the mild-to-moderate range in the third (Nielsen, Pedersen, Faurschou et al., 1999). Baseline ICS dose was high in two studies (McIvor, Pizzichini, Turner et al., 1998; Nielsen, Pedersen, Faurschou et al., 1999) and low in a third (Wilding, Clark, Coon et al., 1997).
All three studies demonstrated that ICS could be reduced significantly more in the long-acting beta-2 agonists group as compared to placebo. McIvor, Pizzichini, Turner et al. (1998) reduced the dose of ICS by 87 percent in the long-acting beta-2 agonists group, as compared to 69 percent in the placebo group (p=0.04). The median ICS dose at the end of the study period was 277 (+/−661) mcg/day for long-acting beta-2 agonists treatment compared with 612 (+/−795) mcg/day for placebo (p=0.01). Nielsen, Pedersen, Faurschou et al. (1999) reduced the ICS dose by a mean of 253 mcg (19.8 percent) in the long-acting beta-2 agonists group compared with an increase of 42 mcg (−3.6 percent) in the placebo group (p<0.01). Twelve patients in the long-acting beta-2 agonists group were able to decrease their ICS dose by at least 50 percent compared with two patients in the placebo group (p=0.001).
Wilding, Clark, Coon et al. (1997) reported that the mean daily ICS dose was lower in the long-acting beta-2 agonists group compared with placebo (561 mcg vs. 674 mcg), representing 17 percent less total ICS usage (95 percent CI 12-22 percent, p<0.001). The percent reduction in ICS dose was approximately 20 percent in the long-acting beta-2 agonist group compared with 6.5 percent in the placebo group (p<0.001). Since the starting ICS dose was already low for the Wilding, Clark, Coon et al. (1997) study, it is not surprising that the percent dose reduction after the addition of long-acting beta-2 agonist was less than in the other two studies.
These studies suggest that the reduction in ICS dose with long-acting beta-2 agonists is achieved without diminishing lung function outcomes. The direction of FEV1 and morning, patient-measured PEF outcomes favored the long-acting beta-2 agonists group in all studies, but only the results of the Wilding, Clark, Coon et al. (1997) study were statistically significant. Nielsen, Pedersen, Faurschou et al. (1999) and Wilding, Clark, Coon et al. (1997) reported treatment differences of FEV1 0.2 (p=NS) and 0.13 (p<0.001) liters respectively. McIvor, Pizzichini, Turner et al. (1998) reported a nonsignificant difference of 8.7 percent predicted FEV1. For PEF, the treatment differences ranged from 13.7 to 22 liters/min.
ICS dose reduction was achieved without increase in symptoms, and there is limited evidence suggesting improvement. Wilding, Clark, Coon et al. (1997) reported an 18 percent (p<0.001) greater improvement in number of symptom-free days for the long-acting beta-2 agonist group. McIvor, Pizzichini, Turner et al. (1998) and Nielsen, Pedersen, Faurschou et al. (1999) reported daytime symptom score outcomes. McIvor, Pizzichini, Turner et al. (1998) reported a 0.30 units greater reduction for the long-acting beta-2 agonists group on a 6-point scale, which was not statistically significant. Nielsen, Pedersen, Faurschou et al. (1999) reported an improvement of 1.0 unit on a 0-5 scale for the long-acting beta-2 agonists group as compared to no change for the placebo group (p<0.001). McIvor, Pizzichini, Turner et al. (1998) reported that the long-acting beta-2 agonists group had a reduction of 1.1 puffs/day as compared to placebo, but the difference was not statistically significant.
Three studies enrolling a total of 151 patients evaluated reducing the dose of ICS after the addition of long-acting beta-2 agonists as their primary outcome. Two studies were small, short-term trials, and the third enrolled 100 patients treated for 6 months. None of the three trials met the criteria for higher quality studies. All three trials demonstrated statistically significant reductions in ICS dosage for the long-acting beta-2 agonist group. The magnitude of treatment difference was 13.5 percent, 18 percent, and 23.4 percent greater reduction in ICS as compared to placebo. The evidence suggests that the reduction in dose is achieved without diminishment of lung function or increase in symptoms; and there is limited evidence that suggests improvement in symptoms.
Twelve studies, enrolling a total of 4,285 patients, compared a maintenance ICS dose plus long-acting beta-2 agonist to an increased ICS dose. These studies ranged from 48 to 738 total patients enrolled. The larger studies enrolled approximately 200-250 patients per study arm (Baraniuk, Murray, Nathan et al., 1999; Condemi, Goldstein, Kalberg et al., 1999; Greening, Ind, Northfield et al., 1994; Kelsen, Church, Gillman et al., 1999; Murray, Church, Anderson et al., 1999; Pauwels, Lofdahl, Postma et al., 1997; Woolcock, Lundback, Ringdal et al., 1996). The remaining studies (Bouros, Bachlitzanakis, Kottakis et al., 1999; Pearlman, Stricker, Weinstein et al., 1999; van Noord, Schreurs, Mol et al., 1999; Verberne, Frost, Duiverman et al., 1998; Vermetten, Boermans, Luiten et al., 1999) enrolled between 23 and 139 patients per treatment arm.
These trials were largely short-term, with most having a duration of 6 months or less. Two studies (Pauwels, Lofdahl, Postma et al., 1997; Verberne, Frost, Duiverman et al., 1998) were approximately 1 year in duration and five studies (Condemi, Goldstein, Kalberg et al., 1999; Greening, Ind, Northfield et al., 1994; Kelsen, Church, Gillman et al., 1999; Murray, Church, Anderson et al., 1999; Woolcock, Lundback, Ringdal et al., 1996) were approximately 6 months in duration. The remaining five trials (Baraniuk, Murray, Nathan et al., 1999; Bouros, Bachlitzanakis, Kottakis et al., 1999; Pearlman, Stricker, Weinstein et al., 1999; van Noord, Schreurs, Mol et al., 1999; Vermetten, Boermans, Luiten et al., 1999) were 12 weeks' duration or less.
All trials except Verberne, Frost, Duiverman et al. (1998) enrolled an adult population. Verberne, Frost, Duiverman et al. (1998) enrolled children between the ages of 6 and 16 years, with a mean age of approximately 11 years. In studies of adults, the mean age ranged from 32-48 years. Eligibility was most commonly based on lung function measures, with all of the trials basing eligibility partly or completely on lung function parameters. All of the studies specified a minimum FEV1, ranging from 40-60 percent predicted. Nine studies also specified a maximum FEV1, ranging from 80 to 100 percent predicted. Eight studies had additional eligibility criteria based on symptoms or medication use. These studies selected patients who were not adequately controlled on their current regimen. However, each study set different thresholds for level of symptoms or medication used to define inadequate control.
Asthma severity was estimated using the 1997 NHLBI classification scheme (National Heart, Lung, and Blood Institute, 1997). Estimation of severity was generally based on baseline FEV1 percent predicted, together with a baseline measure of symptom frequency when reported. All of the studies included, but were not confined to, patients with moderate asthma. Seven studies included patients in the moderate to severe category (Baraniuk, Murray, Nathan et al., 1999; Bouros, Bachlitzanakis, Kottakis et al., 1999; Condemi, Goldstein, Kalberg et al., 1999; Greening, Ind, Northfield et al., 1994; Kelsen, Church, Gillman et al., 1999; Murray, Church, Anderson et al., 1999; Woolcock, Lundback, Ringdal et al., 1996); in two studies, severity was estimated to be in the mild-moderate range (Verberne, Frost, Duiverman et al., 1998; Vermetten, Boermans, Luiten et al., 1999); two studies ranged from mild-severe (Pauwels, Lofdahl, Postma et al., 1997; van Noord, Schreurs, Mol et al., 1999); in the final study severity was estimated to be confined to the moderate range (Pearlman, Stricker, Weinstein et al., 1999).
Baseline ICS doses, using NHLBI criteria (National Heart, Lung, and Blood Institute, 1997), were categorized as low for nine studies; van Noord, Schreurs, Mol et al. (1999) included a majority of patients receiving a medium baseline ICS dose, the Verberne, Frost, Duiverman et al. (1998) study of children administered a medium baseline ICS dose, and patients in the Woolcock, Lundback, Ringdal et al. (1996) study were initially receiving high ICS doses.
FEV1 outcomes were reported for 10 of the 12 trials. The direction of results favored the long-acting beta-2 agonists group in 8 of 10 studies, with 5 reporting statistically significant differences. The only trial that favored higher dose ICS was a pediatric study by Verberne, Frost, Duiverman et al. (1998); the treatment difference was 3.6 percent predicted, but was not statistically significant. Another trial (van Noord, Schreurs, Mol et al., 1999) reported identical changes in FEV1 for both treatment groups. In the eight remaining studies, FEV1 outcomes were reported as percent predicted in three, with a treatment difference ranging from 2.7 to 4.0 percent predicted. Five studies reported FEV1 outcomes in liters, with a treatment difference ranging from 0.08 to 0.29 L in favor of the long-acting beta-2 agonist group.
PEF outcomes (all patient-measured; most reported as morning) were reported in all 12 studies. The direction of results favored long-acting beta-2 agonists in 10 of 12 studies, and were statistically significant in 8. In one study (Vermetten, Boermans, Luiten et al., 1999), there was a nonsignificant difference of 1.0 percent predicted in favor of the higher ICS group. In another study (van Noord, Schreurs, Mol et al., 1999), the change in PEF was identical between groups. In the 10 remaining studies, PEF was reported in L/min in 8, with a treatment difference ranging from 0.7 to 32 L/min. The final two studies reported PEF in percent predicted, with treatment differences of 2.0 and 7.0 percent predicted. Only one study (Verberne, Frost, Duiverman et al., 1998) reported on PC20 outcomes, and the difference between groups was not significant.
| Meta-Analysis | Effect Size Estimate | 95% CI | Test for Homogeneity p Value | Treatment Effect Estimate | 95% CI |
|---|---|---|---|---|---|
| FEV1: Combined studies (N=8) | 0.209 | 0.133, 0.285 | 0.93 | 0.11 L 2.32% pred | 0.07, 0.15 1.48-3.16 |
| FEV1: Sensitivity analysis by quality: studies that that meet all generic quality criteria except allocation concealment and meet most (>4) of asthma-specific criteria (N=4) | 0.203 | 0.107, 0.299 | 0.94 | 0.11 L 2.25% pred | 0.06, 0.16 1.19, 3.32 |
| FEV1: Sensitivity analysis by quality: studies that meet all generic quality criteria except allocation concealment (N=7) | 0.212 | 0.134, 0.290 | 0.88 | 0.11 L 2.35% pred | 0.07, 0.15 1.49, 3.22 |
| PEF: Combined studies (N=10) | 0.310 | 0.192, 0.429 | 0.0002 | 11.6 L/min 3.4% pred | 5.2-18.0 1.5-5.3 |
| PEF: Sensitivity analysis by quality: studies that that meet all generic quality criteria except allocation concealment and meet most (>4) of asthma-specific criteria (N=4) | 0.300 | 0.030, 0.569 | 0.000007 | 12.75 L/min 3.75% pred | 1.28, 24.18 0.38, 7.11 |
| PEF: Sensitivity analysis by quality: studies that meet all generic quality criteria except allocation concealment (N=7) | 0.296 | 0.143, 0.449 | 0.00005 | 12.58 L/min 3.7% pred | 6.08, 19.08 1.79, 5.61 |
Sensitivity analysis by study quality did not greatly alter effect size. For the four studies (n=1,706) that met all generic study quality criteria except allocation concealment and also met at least four asthma-specific criteria, the combined effect size was 0.203. For the seven studies (n=2,632) that met the less restrictive study quality criteria, the combined effect size was 0.212.
The PEF effect size for all 10 included studies (n=3,042) combined was 0.310 (95 percent CI, 0.192, 0.429). This group of studies includes seven of the eight studies combined above for FEV1. Again, the effect favors addition of the long-acting beta-2 agonist and is significant. Estimated treatment effects are 11.6 L/min or 3.4 percent predicted. A chi-square test for homogeneity was highly significant, suggesting heterogeneity among studies.
The effect size for one study (van Noord, Schreurs, Mol et al., 1999) was slightly negative; this was only one of two analyzed studies for which a majority of patients were on medium or high baseline ICS doses. The effect size for the other study (Woolcock, Lundback, Ringdal et al., 1996) was 0.298. Recalculation of the combined effect size without the van Noord, Schreurs, Mol et al. (1999) and Woolcock, Lundback, Ringdal et al. (1996) results did not appreciably change the estimate (0.366 vs. 0.310), and the p-value for homogeneity remained highly significant.
Several reasons may contribute to PEF heterogeneity including PEF variability and sample size. As noted previously, PEF is an inherently more variable outcome than FEV1. In addition, the majority of studies had large sample sizes, which may reduce within-study variation and increase the significance of the test for homogeneity Thus, the meta-analysis for PEF estimates only the average effect across the various populations included in this study, and cannot distinguish differences among these heterogeneous populations. Nevertheless, both combined and individual study results indicate predominantly significant effect sizes in favor of the addition of long-acting beta-2 agonist.
Sensitivity analysis by study quality did not greatly alter the summary effect size. For those studies that met all generic study quality criteria except allocation concealment and met at least four of asthma-specific criteria (four studies, n=1,283), the combined effect size was 0.300. For those studies (n=2,687) that met the less-restrictive study quality criteria (eight studies), the combined effect size was 0.296.
Stratified analysis by dose was not performed as almost all studies used low dose baseline ICS. Studies were stratified into two levels for each of three potentially confounding variables: treatment duration, mean patient age, and mean baseline FEV1 as a surrogate for baseline disease severity. No significant effects were found. These analyses would only detect large effects, and likely miss lesser influences of confounding variables. Details of these analyses are presented in Meta-Analysis Tables 3-20 and 3-21.
These results are consistent with a previous meta-analysis of studies sponsored by GlaxoWellcome, all of which compared an increased dose of ICS to a lower dose plus salmeterol (Shrewsbury, Pyke, and Britton, 2000). For FEV1, the treatment effect estimate of 0.11 L is very similar to the Shrewsbury, Pyke, and Britton (2000) estimate of 0.10 L at 3 months of treatment, and 0.08 L at 6 months. However, their PEF treatment effect estimates of approximately 22 to 28 L/min are much higher than the estimate obtained in the current analysis; 11.6 L/min overall and 15.1 L/min when limited to studies of patients treated for more than 21 weeks.
Seven of the 9 studies included in the Shrewsbury meta-analysis (Shrewsbury, Pyke, and Britton, 2000) were also among the 11 studies included in the current evidence report's meta-analysis for either FEV1, PEF, or both. While the data included in the current meta-analysis overlaps substantially, it differs in four respects from that in the Shrewsbury and coworkers meta-analysis (Shrewsbury, Pyke, and Britton, 2000). First, the current meta-analysis includes four additional studies; two studies were sponsored by Glaxo Wellcome (Baraniuk, Murray, Nathan et al., 1999; Pearlman, Stricker, Weinstein et al., 1999) and two were sponsored by other pharmaceutical companies (Bouros, Bachlitzanakis, Kottakis et al., 1999; Pauwels, Lofdahl, Postma et al., 1997). Second, for all studies, only published summary data were available for abstraction and these were not consistent in the outcome units of measure reported, thus requiring combination on the basis of calculated effect size. Shrewsbury, Pyke, and Britton (2000) had access to patient data and could combine results directly. Third, the current meta-analysis was restricted to studies that were published as full articles, and excluded two studies published only as abstracts that were included by Shrewsbury, Pyke, and Britton (2000). Finally, because the Shrewsbury and coworker (2000) analysis used patient datasets, data from 3- and 6-month time points could be compared; while the current analysis used only published data taken at study endpoint, which varied in duration.
The most common symptom or medication use outcome reported was supplemental beta-2 agonist use. Ten studies reported this outcome, generally in units of puffs/day (Kelsen, Church, Gillman et al., 1999 reported only puffs/night, p<0.05 in favor of combination therapy). The direction of results favored long-acting beta-2 agonist in nine comparisons, and six were statistically significant. In the tenth study, there was an identical change in beta-2 agonist use between groups (Greening, Ind, Northfield et al., 1994). For the nine studies favoring long-acting beta-2 agonists, the treatment difference ranged from 0.08 to 1.3 fewer puffs/day or approximately 1-20 fewer 'treatments' (two puffs) per month. Baseline use where reported (seven studies) was in the range of approximately one to five puffs/day.
Seven studies reported daytime symptom score outcomes, but the method of reporting was not standardized. Scores were generally reported on a 3- or 4-point scale; in some cases the scale was not reported. The direction of results favored long-acting beta-2 agonists in five of the seven studies, three of which reported a statistically significant difference. Two studies reported nonsignificant differences in favor of higher dose ICS, with differences of 0.02 (0-4 scale) and 0.10 (0-3 scale). The range of treatment effect in the four studies favoring long-acting beta-2 agonists was from 0.12 (scale not reported) to 0.50 (0-3 scale). Only two studies reported nighttime symptom score outcomes (Bouros, Bachlitzanakis, Kottakis et al., 1999; Pauwels, Lofdahl, Postma et al., 1997); only Bouros, Bachlitzanakis, Kottakis et al. (1999) reported a significant difference, which was in favor of ICS plus beta-2 agonist.
Ten studies reported on symptom-free days, episode-free days, or provided information that could be used to calculate these values. In all of these comparisons, the direction of results favored long-acting beta-2 agonists; and in seven, the difference was statistically significant. The net improvement in symptom-free days ranged from 5-22 percent, translating to between approximately two and seven additional symptom-free days gained per month. One study of poorly controlled patients (0 percent symptom-free days at baseline) found a 43 percent net improvement or a gain of approximately 13 additional symptom-free days per month (Woolcock, Lundback, Ringdal et al., 1996).
Oral corticosteroid use was less frequently reported as an outcome in these studies, with five studies reporting this measure. There were no statistically significant differences in oral corticosteroid use. Seven studies reported acute exacerbation outcomes; five reported non-significant differences and two reported no tests of significance. Exacerbation measures differed, making it difficult to compare results across studies.
Two studies reported on QOL data (Hyland and Crocker, 1995; Vermetten, Boermans, Luiten et al., 1999). Hyland and Crocker (1995) reported QOL data on the same population contained in Greening, Ind, Northfield et al. (1994). These two studies used different QOL instruments, with Hyland and Crocker (1995) using the Living with Asthma Questionnaire while Vermetten, Boermans, Luiten et al. (1999) used the Hyland Quality of Life Questionnaire. Hyland and Crocker (1995) also used a QOL diary in which patients recorded daily QOL information. Hyland and Crocker (1995) did not find any treatment differences between groups on the Living with Asthma Questionnaire, but did find a significant benefit for the long-acting beta-2 agonist group on the diary measures. Vermetten, Boermans, Luiten et al. (1999) reported that there were no differences on summary QOL measures between groups.
Three studies (n=725) reported sufficient data for combined analysis of puffs/day of beta-2 agonists. Results were combined as the difference of mean changes from baseline (treatment effect). Overall, the treatment effect was −0.19 puffs/day (95 percent CI, −0.31 to −0.06) or approximately three fewer treatments per month, a small but significant reduction in favor of the addition of long-acting beta-2 agonists. There were insufficient studies for a sensitivity analysis by study quality.
Meta-analysis of medication use outcomes is limited by the small number of studies that reported data in sufficient detail for combination. In view of this, the small estimated treatment effect may not be clinically significant.
Combined analysis on the symptom score outcomes, the percent of symptom-free days, oral corticosteroid use, and quality of life data was not deemed appropriate. All of these outcomes had extensive missing data for combined analysis, including lack of reporting of measures of variance, statistical tests used, and exact p-values. Symptom score outcomes were further limited by differences in the scales used.
The evidence on the comparison of adding a long-acting beta-2 agonist to ICS vs. increasing the dose of ICS is relatively robust, with 11 randomized controlled trials enrolling over 4,000 total adult patients. However, there is only one pediatric study, reporting on 120 evaluable patients. The studies generally report on short-term outcomes, with several studies reporting longer term outcomes, up to 6 months or 1 year.
These studies consistently show greater improvement in outcomes for the addition of long-acting beta-2 agonists compared with increasing the ICS dose. In almost all cases, FEV1 and PEF show statistically significant improvements in the combined medication group compared with higher dose ICS. Most studies also reported supplemental beta-2 agonist use, and this outcome also consistently favored the addition of long-acting beta-2 agonist. Symptom scores and symptom frequency also favored this group in most studies that reported these outcome measures.
Combined analyses demonstrated a positive and statistically significant effect of addition of long-acting beta-2 agonists on FEV1 (n=2,754) and PEF (n=3,042). The estimated treatment effect for FEV1 was 0.11 L (95 percent CI, 0.07-0.15), or 2.32 percent predicted (95 percent CI, 1.48-3.16). For PEF, the estimated treatment effect was 11.6 L/min (95 percent CI, 5.2-18.0), or 3.4 percent predicted (95 percent CI, 1.5-5.3). The combined (n=725) estimate of treatment effect for puffs/day of beta-2 agonists was significant but small at 0.19 fewer puffs/day (95 percent CI, −0.06 to −0.31) associated with long-acting beta-2 agonist use. However, this estimate was limited by a small number of available studies.
The magnitude of improvement in lung function and symptom score outcomes is difficult to put into clinical perspective, given the lack of benchmarks for clinically meaningful changes in these outcome measures. For supplemental beta-2 agonist use, the combined estimate of the treatment difference appears to be small, an improvement of 0.19 fewer puffs/day in a group of studies for which baseline use was approximately 1-5 puffs/day. This indicates on average approximately three fewer "treatments" (two puffs) with rescue medication per month. For the individual studies favoring long-acting beta-2 agonists, the treatment difference ranged from 0.08 to 1.3 fewer puffs/day or approximately 1-20 fewer treatments per month. For the symptom frequency outcomes, which were not combined due to lack of sufficient data, the treatment difference suggests a gain in symptom-free days in the range of 2-7 per month with one outlier study suggesting a gain of 13 symptom-free days per month in a poorly controlled population.
Reporting of adverse events varied considerably among studies. The selection of adverse events was different, and total patients experiencing any adverse event, or total patients experiencing treatment- or drug-related adverse events were often not reported. However, in general, there were few obvious differences between study arms within studies, and these did not consistently indicate either an increase or a decrease in adverse events when long-acting beta-2 agonists were added.
Nineteen of 29 studies reported total number of patients who dropped out of the study due to adverse events other than disease progression or acute exacerbation. Only 2 of 19 showed significant differences for this parameter. Baraniuk, Murray, Nathan et al. (1999) reported more dropouts due to adverse events in the salmeterol study arm than in the ICS-only study arm (fixed ICS dose); this difference was barely significant at p=0.05. Condemi, Goldstein, Kalberg et al. (1999) reported the opposite finding, more dropouts due to adverse events in the ICS-only study arm (increased ICS dose; p=0.03).
Out of seven studies reporting the total number of patients experiencing any adverse event, only one showed a significant difference. The Verberne, Frost, Duiverman et al. (1998) study, which enrolled only children, showed a significant difference between the increased ICS arm and the salmeterol plus ICS arm, with more patients in the salmeterol arm experiencing any adverse event; however, the difference between the fixed-dose ICS arm and the salmeterol arm was not significant, although in the same direction. Five studies reported the number of patients experiencing treatment- or drug-related adverse events; none of these showed significant differences between study arms.
Numbers of patients reporting specific adverse events were examined qualitatively. Although there are several instances where various adverse events appear to differ between study arms (e.g., headaches in Russell, Williams, Weller et al., 1995; upper respiratory and/or sinus infections in Condemi, Goldstein, Kalberg et al., 1999; gastrointestinal distress in Verberne, Frost, Duiverman et al., 1998), no category of adverse events is consistently affected, nor are there consistently more or fewer patients consistently affected in the ICS-only vs. the ICS plus long-acting beta-2 agonist arm.
Given the results described and the limited data, there is no obvious indication that patients administered long-acting beta-2 agonists in addition to continuing ICS vs. fixed, titrated, or increased ICS only experience significant differences in adverse events.
Four studies evaluating a total of 213 patients compared ICS plus theophylline to the same dose of ICS. Three of the four studies were randomized parallel group design, one study (Nassif, Weinberger, Thompson et al., 1981) was a crossover trial with randomized sequence of treatment. The duration of the parallel group studies was between 6 and 24 weeks, and the crossover trial used periods of 1 month for the length of each treatment period. Prior theophylline treatment was very common among these studies. In the studies by Nassif, Weinberger, Thompson et al. (1981) and Meltzer, Orgel, Ellis et al. (1992), 100 percent and 85 percent of the subjects had been taking regular theophylline. The study of Minoguchi, Kohno, Oda et al. (1998) was designed explicitly as a theophylline withdrawal study, as the initial part of the study consisted of all patients being treated with ICS and theophylline before half of the participants were randomized to having theophylline withdrawn.
None of the studies met all three generic quality criteria. The trials by Nassif, Weinberger, Thompson et al. (1981) and Evans, Taylor, Zetterstrom et al. (1997) met two of three general quality indicators; and none of the five studies met at least four of the asthma-specific quality indicators. However, there were no obvious differences in results when comparing studies that met quality criteria with studies that did not. Because of the limited number of studies, and the lack of studies meeting the definition for high quality, sensitivity analysis by study quality was not attempted.
All the studies have statistical problems that inhibit confident interpretation of the results. Three studies included additional treatment groups not relevant to this key question, and are somewhat problematic in the statistical interpretation of their results because many of the statistical tests calculated significance levels and confidence levels which included the other treatment arms. For example, the Nassif, Weinberger, Thompson et al. study (1981) included a group of patients receiving alternate-day oral prednisone. Many p-values of the principal results were calculated combining the ICS and oral prednisone groups, comparing theophylline and placebo treatment periods. Emad (1996) included an additional group that was not receiving a placebo medication, and calculated all p-values based on a three-group analysis of variance (ANOVA). However, inspection of those results reveals little difference between the groups not receiving a placebo and receiving a placebo, making it plausible to attribute statistical significance to the comparison between theophylline and the two control groups. Meltzer, Orgel, Ellis et al. (1992) included a group treated with albuterol and theophylline. It appears that some of the p-values calculated were overall comparisons between the three groups, making interpretation of the relevant two-group comparison problematic. Although the study by Minoguchi, Kohno, Oda et al. (1998) directly compares only the two relevant comparison groups of interest, it appears that there were no between-group statistical tests performed, only pre-post statistical tests within a group.
All four studies reported FEV1 and PEF outcomes. Three of four studies reported morning, patient-measured PEF; Emad (1996) reported results measured in the clinic. All studies report results suggesting improved FEV1 and PEF with combined theophylline plus ICS, but the statistical interpretation of the results is somewhat complicated by various factors within each study. As reported above, Emad's study (1996) reports p-values based on a one-way ANOVA of three groups, but it appears that all of the significance can be attributed to the theophylline-plus-ICS group versus the two control groups. Thus, this study can be interpreted as showing both statistically significant improved FEV1 and PEF on combined theophylline plus ICS (treatment difference 0.34 L for FEV1, 58.0 L/min for PEF).
The study by Minoguchi, Kohno, Oda et al. (1998) does not report between-group p-values, only pre-post within-group p-values. However, the study did report a significant within-group decrease in both FEV1 (− 0.14 L) and PEF (− 35.5 L/min) for the group that had theophylline withdrawn. In the group that remained on theophylline, there was a small, nonsignificant decline in FEV1 (− 0.05 L) and a small, nonsignificant increase in PEF (+4.4 L/min).
The study by Nassif, Weinberger, Thompson et al. (1981) reported a 3 percent difference in predicted FEV1 and a 5 percent difference in predicted daily peak flow measurements when the patients were on combined theophylline and ICS compared with when they were on ICS alone in this randomized crossover trial. However, the statistical significance was based on a comparison of a larger number of patients which included 10 out of the 28 total which were on oral corticosteroid rather than ICS. However, the effect sizes appear to be similar between the ICS and oral corticosteroid groups.
Finally, the study by Meltzer, Orgel, Ellis et al. (1992) reported a difference of 6.0 percent predicted FEV1 and 13 percent predicted PEF, which favored the combined theophylline plus ICS group, but was not statistically significant.
Three of the four studies in this group examined symptom outcomes. In the study by Minoguchi, Kohno, Oda et al. (1998), daily symptoms were assessed on a 22-point scale that summed up wheezing, cough, and nighttime symptoms. The data were not appropriately analyzed with between-group statistics. However, asthma symptoms increased in the group in which theophylline was withdrawn (from 1.27 to 4.19, p<0.05), whereas symptom changes in the group maintained on theophylline were small and not significant (from 1.11 to 1.56).
In the study by Nassif, Weinberger, Thompson et al. (1981), symptoms were evaluated on the basis of percent of days free of symptoms. There was a significant difference in the percentage of days free of symptoms between the theophylline periods and placebo periods of the study (71 percent theophylline vs. 50 percent placebo, p<0.01).
In the study by Meltzer, Orgel, Ellis et al. (1992), separate symptom scores were calculated for all treatment groups for wheeze, shortness of breath, cough, activity tolerated, and nocturnal symptoms. Statistical comparisons were performed on the absolute value of these separate scores, rather than change from baseline. Separate p-values are not reported, but the text states that no comparisons between ICS plus theophylline and ICS alone were statistically significant.
Two of the studies reported medication use outcomes. In the study by Nassif, Weinberger, Thompson et al. (1981), inhalation treatments with metaproterenol were more common during the placebo periods than during the theophylline periods (0.9 uses per day vs. 0.4 uses per day, p<0.01). In the study by Meltzer, Orgel, Ellis et al. (1992), additional beta-2 agonist was required by 43 percent of patients taking ICS alone and 34 percent of those on ICS and theophylline (p-value not reported for two-group comparison). However, if a chi-square test is applied to these proportions, the difference is not statistically significant.
Only a few studies formally compared adverse events between treatment regimens. Emad (1996) reports "minimal" tremor in two patients taking theophylline. Nassif, Weinberger, Thompson et al. (1981) only report in text "infrequent, mild, and transient" symptoms when patients switched from placebo to theophylline. Meltzer, Orgel, Ellis et al. (1992) reports a long list of 16 adverse events that occurred between treatment groups, but with no formal statistical comparisons. However, there appear to be no notable differences in numbers of adverse events.
The studies are generally mixed in their results, but the qualitative direction of most of the study results is that the combination of theophylline and ICS produces improved lung function and symptoms. The study by Nassif, Weinberger, Thompson et al. (1981) shows improved lung function and symptoms, while the study by Meltzer, Orgel, Ellis et al. (1992) showed no difference in either of these types of outcomes. The study by Emad (1996) only reports lung function outcomes, and the study by Minoguchi, Kohno, Oda et al. (1998) is difficult to interpret because of lack of between-group statistical comparisons. Adverse event reporting was incomplete in all the studies, but there appear to be no differences.
Two studies enrolling a total of 195 patients (Ukena, Harnest, Sakalauskas et al., 1997; Evans, Taylor, Zetterstrom et al., 1997) compared a lower dose of ICS plus theophylline versus a higher dose of ICS. Ukena, Harnest, Sakalauskas et al. (1997) compared 69 patients treated with theophylline plus 400 micrograms beclomethasone versus 64 patients treated with 800 micrograms beclomethasone plus placebo. Evans, Taylor, Zetterstrom et al. (1997) compared 31 patients treated with theophylline plus 800 micrograms beclomethasone with 31 patients treated with 1,600 micrograms beclomethasone plus placebo. The length of treatment observed was 6 weeks in the Ukena, Harnest, Sakalauskas et al. (1997) study and 12 weeks in the Evans, Taylor, Zetterstrom et al. (1997) study. Neither of these studies met all of the generic indicators for high quality, although Evans, Taylor, Zetterstrom et al. (1997) met two of the three criteria. Both studies met four of the six asthma-specific criteria.
Evans, Taylor, Zetterstrom et al. (1997) reported an improvement in FEV1 of 0.21 L in the theophylline plus beclomethasone group (2.48 L to 2.69 L) as compared to an improvement of 0.11 L in the higher dose beclomethasone group (2.50 to 2.61). This treatment difference of 0.10 L was statistically significant at p=0.03. However, the changes in PEF were very similar between groups, with no statistically significant group differences. The theophylline plus beclomethasone group had a 23 L/min increase in PEF compared with a 25 L/min increase in the higher dose beclomethasone group, which was not statistically significant (p=0.16).
In the Ukena, Harnest, Sakalauskas et al. (1997) study, there was improvement in FEV1 for both treatment groups compared to baseline. The theophylline plus ICS group improved from 2.30 to 2.56 L at the end of the study. In the ICS-only group, FEV1 increased from 2.40 to 2.59 L. Comparison of the improvements showed no significant difference in change in FEV1. There were also improvements in home peak flow measurements for both groups. Although the change in peak flow was generally greater for the theophylline plus ICS group, comparisons between groups showed no statistically significant difference between groups. (The actual statistical criteria for the comparison of groups was posed as criteria which would allow the inference that theophylline plus ICS was at least as effective as ICS alone.)
Evans, Taylor, Zetterstrom et al. (1997) compared changes in daytime symptom scores, nighttime symptom scores, and beta-agonist use between the two groups. There were no statistically significant changes in these outcomes between the two groups. Using a 4-point scale, daytime symptom scores improved by a mean of 0.75 for the combined group and by a mean of 0.80 for the higher dose ICS group (p=0.26). Nighttime symptom scores improved by a mean of 0.7 for the combined group compared with 0.6 for the higher dose ICS group (p=0.59). Beta-agonist use also decreased to a similar degree in both groups. The combined group reduced their beta-2 agonist use from a median of 1.8 puffs/day to a median of 1.0 puffs/day, compared with a reduction of 2.0 puffs/day to 1.25 puffs/day in the higher beclomethasone group (p=0.57).
In the Ukena, Harnest, Sakalauskas et al. (1997) study, symptoms were compared between groups on a 0 to 4 scale for nighttime symptoms and daytime symptoms. For both treatment groups, there was significant improvement compared to the baseline period. There were no statistically significant differences between treatments (day: p=0.575; night: p=0.196). Both daytime and nighttime use of relief medications decreased significantly in both groups compared to baseline. There was no statistically significant difference between treatment groups (day: p=0.392, night: p=0.814).
Both studies briefly reported adverse events from treatment. Evans, Taylor, Zetterstrom et al. (1997) reported a total of nine adverse events in the theophylline group that were thought to be drug-related. Of these nine events, five were gastrointestinal upset, two palpitations, one sore throat, and one headache. In the higher dose beclomethasone group, there were seven adverse events thought to be drug related. Three of these were sore throat, two gastrointestinal upset, one palpitations, and one rash.
Ukena, Harnest, Sakalauskas et al. (1997) reported a total of 50 adverse events in the theophylline/ICS group, 27 of which were attributable to treatment or to asthma. The remaining 23 events were felt to be nontreatment related, comprising myalgia, nonrespiratory bacterial infections, and weakness. In the high-dose ICS group there were a total of 29 adverse events, 17 of which were attributable to treatment or asthma. There were 12 events in the high dose ICS group that were nontreatment related, comprising myalgia, nonrespiratory bacterial infections, and weakness.
Based on two relatively small randomized clinical trials, the addition of theophylline to ICS appears to produce roughly equivalent improvements in lung function and symptoms as compared to higher doses of ICS. In one of the two studies (Evans, Taylor, Zetterstrom et al., 1997), there was a significantly greater improvement in FEV1 for the theophylline group. However, there were no significant group differences in PEF, symptoms, or medication use reported in either study. The adverse events assessed were reported at a somewhat higher rate in the theophylline/ICS group for the Ukena, Harnest, Sakalauskas et al. (1997) study but not for the Evans, Taylor, Zetterstrom et al. (1997) study. Only short-term adverse events were reported in a limited fashion. None of the long-term effects of ICS were assessed in these trials of 6 and 12 weeks. This evidence is insufficient to permit conclusions on the comparative adverse effects for the two treatment regimens.
There were four studies evaluating 885 patients distributed among the pertinent treatment arms. The largest study by Laviolette, Malmstrom, Lu et al. (1999) contributed most of the patients (n=393), and evaluated the effects of treatment over the longest period of time, 16 weeks. This study used montelukast 10mg/day in their treatment arm. Christian Virchow, Prasse, Naya et al. (2000) had a similar sized population (n=368) but a shorter treatment period of six weeks. This study used zafirlukast at a dose of 160mg/day. The other two studies (Tomita, Hashimoto, Matsumoto et al., 1999; Tamaoki, Kondo, Sakai et al., 1997), were smaller (n=41 and 83 respectively) and evaluated patients over a shorter duration of treatment, 8 weeks and six weeks, respectively. Tomita, Hashimoto, Matsumoto et al. (1999) used pranlukast, a leukotriene antagonist only commercially available in Japan, at a dose of 450mg/day, while Tamaoki, Kondo, Sakai et al. (1997) used the same agent at a dose of 900mg/day.
None of the four trials met all three generic indicators for high quality studies. Two of the four (Christian Virchow, Prasse, Naya et al., 2000; Tamaoki, Kondo, Sakai et al., 1997) met two of the three generic indicators. Christian Virchow, Prasse, Naya et al. (2000) also met four of the asthma-specific indicators. There were no obvious differences in results comparing studies that met or did not meet quality criteria. Because of the limited number of studies, and the lack of studies meeting the definition for high quality, quantitative determination of the effect of study quality on outcomes is not possible.
All four studies evaluated patients initially in a run-in period where baseline lung function and symptoms were assessed. However, the Tomita study (Tomita, Hashimoto, Matsumoto et al., 1999) and Tamaoki study (Tamaoki, Kondo, Sakai et al., 1997) were designed as ICS withdrawal or dose reduction studies. After assessing patients at baseline at a particular dose of ICS, patients were randomized to a lower dose of ICS or a lower dose of ICS plus a leukotriene antagonist. Thus the question is whether the ICS dose reduction is tolerated or not with or without the addition of a leukotriene antagonist. In this case, it is expected that changes in lung function in the ICS alone group may be negative. The Laviolette, Malmstrom, Lu et al. (1999) and Christian Virchow, Prasse, Naya et al. (2000) studies examined the addition of a leukotriene antagonist to patients who were incompletely controlled on a specific dose of ICS. Thus there is no expected change in the ICS alone group, but the ICS plus leukotriene group may have improved lung function and/or symptoms.
All four studies evaluated changes in PEF between groups, and three of the four studies evaluated changes in FEV1. For all of the comparisons of lung function measures, there were statistically significant improvements in favor of the leukotriene antagonist group.
In the study by Laviolette, Malmstrom, Lu et al. (1999), lung function improved in the group of patients receiving ICS and leukotriene antagonist. Morning FEV1 improved 0.14 L in the ICS plus leukotriene antagonist group whereas in the ICS alone group morning FEV1 declined 0.02 L (p<0.001). Morning PEF also improved relative to the ICS alone group (10.41 L/min vs. 2.65 L/min, p=0.004). Similar results were reported by the Christian Virchow, Prasse, Naya et al. (2000) study. In this study, FEV1 improved by 0.19L in the ICS plus leukotriene group, as compared to an improvement of 0.09L in the ICS alone group (p=0.014). PEF improved by 18.7L/min in the combined group as compared to 1.5L/min in the ICS alone group.
In the study by Tamaoki, Kondo, Sakai et al. (1997), changes in FEV1 and both morning and evening, patient-measured PEF were reported. In all comparisons the group which received only a maintenance dose of ICS had a significant decline from baseline in lung function at the end of the treatment period compared to the group which received the same dose of ICS and a leukotriene antagonist. For the ICS-only group vs. the ICS plus leukotriene antagonist group, there was a greater decline in FEV1 (−0.33 L vs. +0.08 L, p=0.007), a greater decline in morning PEF (−46 L/min vs. +5 L/min, p=.001), and a greater decline in evening PEF (−18 L/min vs. +4 L/min. p=0.030).
The study by Tomita, Hashimoto, Matsumoto et al. (1999) only reports changes in PEF between groups. At 8 weeks, for both morning and evening PEF, the group receiving only reduced dose ICS had a significant decline in PEF compared to the group receiving ICS and leukotriene antagonist. (Exact numbers not reported, only graphically shown, p<0.05).
In the study by Laviolette, Malmstrom, Lu et al. (1999), several measures of asthma symptoms showed greater improvement in the group treated with ICS plus leukotriene antagonist. The type of symptom score is not explained in the article, but the mean change in the symptom score was greater in the combined treatment group (− 0.13 vs. - 0.02, p=0.041). There were also fewer nocturnal awakenings and asthma exacerbations in the combined treatment group. Supplemental beta-2 agonist use was also decreased in the combined treatment group, but the difference was not statistically significant (6.04 percent change vs. - 5.51 percent change, p=0.08).
Christian Virchow, Prasse, Naya et al. (2000) reported a greater improvement in daytime symptom scores for the ICS plus leukotriene group. On a 0-3 scale, there was an improvement of 0.6 units for the combined group as compared to 0.3 units for the ICS alone group (p<0.001). This study also reported symptom frequencies. For the combined group, the percentage of symptom-free days increased from 2.2 percent to 22.9 percent, compared to an increase of 0.6 percent to 12.3 percent in the ICS alone group. There was a decline in nighttime awakenings/week of 0.9 in the combined group and 0.4 in the ICS alone group. Neither of these comparisons on symptom frequencies reached statistical significance. This study did report a statistically significant reduction in beta-agonist use for the combined group. The leukotriene plus ICS group decreased their beta-2 agonist use by a mean of 1.3 puffs/day, compared with a reduction of 0.2 puffs/day for the ICS alone group (p=0.007).
In the study by Tamaoki, Kondo, Sakai et al. (1997), asthma symptoms were evaluated by the number of episodes (of asthma symptoms) per week. In the ICS-only group, daytime asthma symptoms increased 6.3 episodes per week, whereas in the ICS plus leukotriene antagonist group, symptoms decreased −0.2 episodes per week (p<0.030). Changes in nighttime asthma symptoms did not differ between groups. The study also assessed the use of supplemental asthma medication. There was a significant difference in the daytime use of beta-2 agonist, where the ICS-only group increased their use much more than the ICS plus leukotriene antagonist group (+16.4 puffs/week vs. +0.8 puffs/week, p<0.026). Nighttime use showed no significant differences.
The study by Tomita, Hashimoto, Matsumoto et al. (1999) evaluated symptom scores and a therapeutic score for both treatment groups (not well characterized, article in Japanese). It is not clear that between-group statistical comparisons were carried out. The text states that there were no difference in symptom scores and therapeutic scores between the two groups.
The studies by Laviolette, Malmstrom, Lu et al. (1999) and Christian Virchow, Prasse, Naya et al. (2000) report adverse events in a thorough fashion. Laviolette, Malmstrom, Lu et al. (1999) report the percentages of patients with 11 types of adverse reactions. No statistical testing is reported, but there appear to be no differences in any of the adverse events. Christian Virchow, Prasse, Naya et al. (2000) reported that 46 percent of patients in the leukotriene group and 45 percent in the ICS-alone group reported adverse events. The only difference between groups in the frequency of adverse events was that more patients in the placebo group reported worsening asthma.
There were two serious adverse events in the leukotriene group (i.e., detached retina, exacerbation of asthma) and four in the ICS-alone group (i.e., chest pain, abdominal pain, sciatica, gastroenteritis). Two patients in the leukotriene group had transient elevations in liver transaminase levels. In one patient this spontaneously resolved without discontinuation of treatment. The second patient had resolution following discontinuation of the drug.
Two studies reported the number of patients that withdrew due to adverse events. Tamaoki, Kondo, Sakai et al. (1997) only report that no patients dropped out of the study due to adverse events. In the Christian Virchow, Prasse, Naya et al. (2000) study, there were 25 total patients who withdrew due to adverse events, 11 in the leukotriene group and 14 in the ICS-alone group.
The evidence from these studies is consistent in showing an improvement in asthma outcomes following the addition of a leukotriene antagonist to a fixed dose of ICS. All four studies showed that lung function was better when a leukotriene antagonist was added to a fixed dose of ICS. Three of the four studies showed that lung symptom scores were also improved. Two studies showed decreased use of beta-2 agonist under the combined regimen. This data is not sufficient to determine the comparative adverse effects of treatment, but from the available evidence, there appear to be no differences in adverse events.
One study by Lofdahl, Reiss, Leff et al. (1999), enrolling 226 patients, used a different type of study design to evaluate the effect of adding a leukotriene antagonist to an ICS treatment regimen. In this study, after patients were stabilized on the minimum ICS dose necessary to maintain clinical stability, they were randomized to receive placebo or a leukotriene antagonist. Each 2 weeks, according to specific clinical criteria, the dose of ICS was either increased, maintained, or reduced. Thus, the outcome of the study is whether ICS can be successfully reduced, maintaining lung function and symptoms relatively constant. This study evaluated 113 patients in each treatment arm, and followed patients for 12 weeks.
Since the objective of the study (Lofdahl, Reiss, Leff et al., 1999) was to maintain these parameters at a constant level, by design there should be no differences in these measures throughout the study. No significant changes in these measures occurred.
Compared with placebo, leukotriene antagonist significantly reduced the last tolerated dose of ICS. Mean percentage dose changes from baseline were 47 percent and 30 percent for the leukotriene antagonist group and placebo groups, respectively (p=0.046). Forty percent of patients on leukotriene antagonist and 29 percent of patients on placebo tapered completely off ICS.
The study (Lofdahl, Reiss, Leff et al., 1999) only states that there were no significant differences in the frequency of clinical and laboratory adverse experiences between treatment groups without elaborating in further detail.
This study showed that addition of leukotriene antagonist allowed greater numbers of patients to reduce the dosage of ICS under protocol-guided dosing guidelines.
There is a large body of evidence on the addition of long-acting beta-2 agonists to ICS, consisting of 28 studies enrolling over 7,000 patients. However, there are only two pediatric studies that together report on only 167 children treated with addition of long-acting beta-2 agonists among 383 total. There is a small body of evidence on the addition of theophylline, consisting of six studies enrolling 408 patients; but only two were studies of children and together these reported on only 47 children treated with theophylline. The evidence on addition of leukotriene antagonists to ICS consists of five studies enrolling a total of 1,111 patients. These studies are mostly randomized controlled trials that report on short-term outcomes. The longest trials report outcomes at 1 year for long-acting beta-2 agonists, 6 months for theophylline, and 4 months for leukotriene antagonists. There was sufficient evidence on the addition of long-acting beta-2 agonists to ICS to perform quantitative meta-analysis of treatment outcomes. There was insufficient data to combine results of trials of addition of theophylline or leukotriene antagonists.
Sixteen randomized, double-blinded trials enrolling a total of 3,163 patients compared the addition of long-acting beta-2 agonists to a fixed dose of ICS. This evidence consistently showed improvements in lung function outcomes, symptom outcomes, and supplemental beta-2 agonist use. The combined estimate of treatment effect for FEV1 is 0.17L (95 percent CI, 0.12-0.22), or 3.71 percent predicted (95 percent CI, 2.67-4.75), based on 14 studies with 2,781 evaluable patients. For morning, patient-measured PEF, the combined estimate of treatment effect is 24.7 L/min (95 percent CI 17.7-31.7), or 7.3 percent predicted (95 percent CI, 5.3-9.3), based on nine studies with 1,678 evaluable patients. For supplemental beta-2 agonist use, the combined estimate of treatment effect was 1.18 fewer puffs/day (95 percent CI, −1.56 to −0.84)), based on six studies with 1,142 evaluable patients.
Three crossover trials enrolling a total of 151 patients evaluated reducing the dose of ICS after the addition of long-acting beta-2 agonists compared to placebo. The largest of these trials, which was randomized and double-blinded, reported on 84 patients treated for 6 months. All three trials demonstrated statistically significant reductions in ICS dosage for the long-acting beta-2 agonist group, ranging from 13.5 percent, to 23.4 percent less than placebo. The evidence suggests that the reduction in dose is achieved without diminishment of lung function or increase in symptoms; and there is limited evidence to suggest improvement in symptoms.
Twelve randomized trials, enrolling more than 4,000 patients compared the addition of a long-acting beta-2 agonist to low or moderate dose ICS with an increased dose of ICS. All trials but one were double-blinded. This evidence consistently showed improvements in lung function outcomes, symptom outcomes, and supplemental beta-2 agonist use. The combined estimate of the magnitude of the treatment effect for FEV1 is 0.11 L (95 percent CI, 0.07-0.15), or 2.32 percent predicted (95 percent CI, 1.48-3.16), based on 8 studies with 2,754 evaluable patients. For morning, patient-measured PEF, the combined estimate of treatment effect is 11.6 L/min (95 percent CI, 5.2-18.0), or 3.4 percent predicted (95 percent CI, 1.5-5.3), based on 10 studies with 3,042 evaluable patients. For supplemental beta-2 agonist use, the combined estimate of treatment effect was 0.19 fewer puffs/day (95 percent CI, −0.06 to −0.31), based on three studies with 725 evaluable patients.
Data on adverse events were abstracted from the clinical trials included in this review. In general, the adverse event profile for the addition of long-acting beta-2 agonists was similar to that for ICS alone. This analysis is limited in that it examines only short-term adverse events for patients enrolled in clinical trials.
Six studies evaluating a total of 408 patients compared the addition of theophylline to ICS. Four of these compared the addition of theophylline to a fixed ICS dose, and two compared the addition of theophylline to a higher dose of ICS. The four studies on the addition of theophylline to fixed ICS dose are generally mixed in their results, but the qualitative direction of the results suggests that the addition of theophylline to a fixed ICS dose produces improved lung function and symptoms.
Based on two randomized clinical trials, theophylline plus ICS versus a higher dose of ICS appears to produce roughly equivalent improvements in lung function and symptoms.
Five studies enrolling 1,111 patients compared the addition of leukotriene antagonists to ICS. Four compared the addition of a leukotriene antagonist to a fixed-dose ICS, and the fifth evaluated the ability to reduce the ICS dose after starting a leukotriene antagonist. Of the four studies using a fixed dose of ICS, all showed that lung function was better when a leukotriene antagonist was added to a fixed dose of ICS. Three of these four studies also showed that symptom scores were improved. Two of the studies showed decreased use of beta-2 agonist under the combined regimen. The fifth study showed that the addition of a leukotriene antagonist allowed greater numbers of patients to reduce the dosage of ICS under protocol-guided dosing guidelines.
Key Question 4a. Does routinely adding antibiotics to standard care improve the outcomes of treatment for acute exacerbation of asthma?
Key Question 4b. Does the addition of antibiotics to standard care in the following populations improve the outcomes of treatment for an acute exacerbation of asthma?
patients without signs and symptoms of a bacterial infection
patients with signs and symptoms of a bacterial infection
patients with signs/symptoms of sinusitis
Two trials, including a total of 121 admissions, met the study selection criteria for this key question. These were relatively older studies; the more recent one was published in 1982 (Graham, Milton, Knowles et al., 1982) and the earlier one in 1974 (Shapiro, Eggleston, Pierson et al., 1974). Both trials studied patients hospitalized for an exacerbation of asthma, and used a randomized, double-blinded, placebo-controlled, parallel-group design. The unit of analysis in each study was admissions to the hospital. Graham, Milton, Knowles et al. (1982) studied 60 adults and adolescents, who experienced a total of 71 admissions, and used amoxicillin as the antibiotic treatment. Shapiro, Eggleston, Pierson et al. (1974) included 50 admissions in children with no clinical evidence of bacterial infection and used hetacillin, an analogue of ampicillin. (See Evidence Tables 4-1 through 4-5.)
The trial by Shapiro, Eggleston, Pierson et al. (1974) is notable because patients with clinical evidence of a bacterial infection or recent use of antibiotics were excluded, so those patients selected for this trial had a low likelihood of bacterial infection. Thus, the trial by Shapiro, Eggleston, Pierson et al. (1974) addresses whether antibiotic treatment improves outcomes among children without signs and symptoms of a bacterial infection who are hospitalized for an asthma exacerbation. In contrast, Graham, Milton, Knowles et al. (1982) excluded patients with evidence of pneumonia on chest X-ray, but otherwise did not exclude patients with clinical evidence of bacterial infection. Thus, Graham, Milton, Knowles et al., (1982) addresses the routine use of antibiotics in a population of adults and adolescents hospitalized for asthma exacerbation.
The antibiotics used in these studies do not have activity against atypical organisms, such as Mycoplasma or Chlamydia. Thus, the available studies do not address whether antibiotics in current use that have activity against atypical organisms may improve outcomes. Moreover, Shapiro, Eggleston, Pierson et al. (1974) reported only results at 24 hours, a length of time that may not be sufficient to judge the effect of antibiotics.
The trial by Graham, Milton, Knowles et al. (1982) was conducted in the United Kingdom and was funded by a government grant. The Shapiro, Eggleston, Pierson et al. (1974) trial was conducted in the United States and was funded by both a government and a pharmaceutical industry grant. Both were single institution studies.
The Graham, Milton, Knowles et al. (1982) study population was largely adults, with a mean age of approximately 39 years (range: 13-82 years). Shapiro, Eggleston, Pierson et al. (1974) included only children 18 years or younger, with a mean age of approximately 8.5 years (range: 1.3-18 years).
On admission to the hospital, both studies recorded baseline lung function measurements and baseline symptom scores. These measures were indicative of severe disease, as would be expected during an acute asthma exacerbation. The mean FEV1 was very low in both studies, in the range of 20-28 percent predicted. Graham, Milton, Knowles et al. (1982) required that patients have an FEV1 level below 1.5 liters and/or a peak flow reading below 150 liters/minute on admission. In the Shapiro, Eggleston, Pierson et al. (1974) trial, patients were eligible based on severe bronchospasm and lack of response to epinephrine, regardless of baseline lung function values. Each study used a different 12-point scale for symptom scores. For Graham, Milton, Knowles et al. (1982), the baseline symptom score was 11 on a 6-12-point scale while for Shapiro, Eggleston, Pierson et al. (1974), it was 7.1 on a 0-12-point scale.
The populations in these studies consisted primarily of patients without signs and symptoms of bacterial illness. In the trial by Shapiro, Eggleston, Pierson et al. (1974), patients with signs and symptoms of bacterial disease were excluded. In Graham, Milton, Knowles et al. (1982), all patients were treated and cultures were taken to assess the presence of bacterial disease. Only a very small number of admissions (n=4 of 71) had documented bacterial disease.
In both trials, all patients received high dose oral or intravenous corticosteroids, and regularly scheduled beta-2 agonist treatment. Graham, Milton, Knowles et al. (1982) included chest physiotherapy for all patients, while Shapiro, Eggleston, Pierson et al. (1974) treated all patients with intravenous aminophylline followed by oral theophylline.
In the Graham, Milton, Knowles et al. (1982) trial, antibiotic treatment was amoxicillin 500 mg, three times daily. Shapiro, Eggleston, Pierson et al. (1974) started antibiotic treatment with intravenous hetacillin 100 mg/kg every 24 hours for a minimum of 24 hours, followed by hetacillin 225 mg, four times per day for 6 days.
Both studies reported only on short-term outcomes of treatment for acute asthma exacerbations as followup for each patient was only for the duration of hospitalization. Length of hospitalization ranged from 3-25 days in the Graham, Milton, Knowles et al. (1982) study and was a mean of less than 3 days in the Shapiro, Eggleston, Pierson et al. (1974) study. Outcomes reported included FEV1, PEF, symptom scores, and hospital length of stay.
| General Quality Indicators | Asthma-Specific Quality Indicators | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Citation | Blinding (required) | Percentage of excluded subjects below specified threshold? (required) | Allocation concealed? (NS=not specified) | Power calculations? | Accounted for excluded patients? | Reversibility established? | Controlled for other medication use? | Addressed compliance? | Addressed seasonality? |
| Shapiro, Eggleston, Pierson et al., 1974 | Yes | No | NS | No | Yes | No | Yes | NA | NA |
| Graham, Milton, Knowles et al., 1982 | Yes | Yes | NS | No | Yes | Yes | Yes | NA | NA |
Graham, Milton, Knowles et al. (1982) met most of the study quality criteria, including double blinding, number and handling of exclusions, establishing reversibility and controlling for other medication use. They did not specify the adequacy of allocation concealment, a common situation in studies published at this point in time. They also did not report power calculations. Shapiro, Eggleston, Pierson et al. (1974) was double-blinded, but had a number of withdrawals greater than our threshold. They did account for excluded patients and controlled for other medication use but did not establish reversibility. In both cases, addressing compliance and seasonality were not applicable to these short-term, hospital studies.
Pre and post-treatment FEV1 values were reported in both studies; Graham, Milton, Knowles et al. (1982) also reported pre- and post-treatment PEF outcomes. There were no significant differences in FEV1 percent predicted reported by Shapiro, Eggleston, Pierson et al. (1974) between the placebo and experimental groups after 24 hours of treatment (49 percent vs. 61 percent, p=NS). Graham, Milton, Knowles et al. (1982) reported better FEV1 percent predicted and PEF outcomes at the time of discharge for the placebo group as compared to the antibiotic group. These results reached statistical significance when withdrawals were excluded: FEV1 percent predicted 65.6 percent vs. 52.3 percent (p=0.04), and PEF 72.8 percent vs. 59.0 percent, (p=0.05). They were not statistically significant when withdrawals were included in the analysis (data not given). There were two withdrawals from the placebo arm because progress was considered inadequate. Thus, this statistically significant finding may reflect that the sickest patients were excluded from analysis in the placebo arm, but not from the antibiotic arm.
There were no significant group differences for either study in pre- and post-treatment symptom scores. Furthermore, there were no group differences in hospital length of stay reported for either study. The criteria used to establish readiness for discharge were not described in either study.
The available evidence consists of two randomized, placebo-controlled trials enrolling a total of 121 admissions to the hospital for an acute asthma exacerbation (Graham, Milton, Knowles et al., 1982; Shapiro, Eggleston, Pierson et al., 1974). Both studies were relatively old, having been published in 1982 and 1974, respectively. They may have been underpowered to detect treatment differences. Shapiro, Eggleston, Pierson et al. (1974) evaluated lung function and symptom outcomes only at 24 hours after admission, a length of time that may be insufficient to evaluate the benefit of antibiotics. In addition, the antibiotics used in these studies do not have activity against atypical organisms, such as Mycoplasma or Chlamydia. It is not known whether antibiotics in current use that have activity against atypical organisms may improve outcomes.
The available evidence suggests there is no benefit to using antibiotic treatment routinely or for patients where suspicion of bacterial infection is low. Neither study found a statistically significant benefit for antibiotics on the outcomes of lung function at time of discharge, hospital length of stay, or symptom scores. There were no studies that addressed the question of greatest relevance to contemporary clinical practice, which is whether adding antibiotics, when signs and symptoms suggest the possibility of bacterial infection but do not clearly indicate its presence, improves the outcomes of treatment for acute exacerbation of asthma.
Key Question 5a. Compared to medical management alone, does the use of a written asthma action plan improve outcomes?
Key Question 5b. Compared to a written action plan based on symptoms, does use of a written action plan based on peak flow monitoring improve outcomes?
(Evidence also was sought to address the four additional questions below, but no studies that met the study selection criteria were found.
What are the outcomes of a written action plan for daily use compared to a written action plan for exacerbation use only?
What are the outcomes of peak flow monitoring without an action plan to medical management alone?
What are the outcomes of chronic peak flow monitoring compared to exacerbation-only peak flow monitoring?
What are the relative outcomes of alternative schedules of peak flow monitoring?)
The objective of this chapter is to assess the independent effects of specific components commonly included in asthma self-management plans. However, there were considerable difficulties in analyzing the evidence, largely due to three general attributes of the available literature. The first is the complexity of the multimodal asthma management interventions that are applied in published clinical trials. Most studies did not permit isolation of the independent effects of a written action plan, or the effects of a peak-flow-based plan compared to a symptom plan. Second, the studies did not clearly identify the patient population expected to benefit from a written asthma plan, the primary outcomes of interest, or prospectively define the level of improvement that was considered clinically meaningful. As a consequence, the third feature of this literature is that it is almost completely composed of studies that were not powered to detect a difference in outcome between the treatment and control groups. Finally, in the two studies that did report statistically significant results, there is insufficient detail in reporting to judge whether the results represent a treatment effect or biases related to patient selection and withdrawal.
| Author/Year | Design | Components | Applicable to relevant comparison | Random allocation? | Met criteria for written action plan? | Intervention group free of contamination? | Include/exclude | |
|---|---|---|---|---|---|---|---|---|
| Control | Intervention | |||||||
| D'Souza, Burgess, Ayson et al. 1996 | Pre-post, retrospective Action plan vs. usual care | M.D. review |
| Yes | No | Yes | No | Exclude |
| Garret, Fenwick, Taylor et al. 1994 | RCT Asthma education in asthma clinic vs. usual followup | Usual care |
| Yes | Yes | Yes | No | Exclude |
| Wesseldine, McCarthy, and Silverman 1999 | RCT Self mgt w/written action plan vs. usual care | Usual care |
| Yes | Yes | Yes | No | Exclude |
| Beasley, D'Souza, Te Karu et al. 1993 | Pre-post Asthma action plan vs. usual care | Usual care |
| Yes | No | NR | No | Exclude |
| D'Souza, Crane, Burgess et al. 1994 | Pre-post Self-mgt vs. usual care | M.D. review |
| Yes | No | Yes | No | Exclude |
| D'Souza, Te Karu, Fox et al. 1998 | Followup of credit card program | M.D. review |
| Yes | No | Yes | No | Exclude |
| Choy, Tong, Ko et al. 1999 | Pre-post, prospective Self-mgt vs. usual care | Usual care |
| Yes | No | Yes | No | Exclude |
| Maljanian, Wolf, Goethe et al. 1999 | Pre-post, prospective Self-management vs. Usual care | Usual care |
| Yes | No | NR | No | Exclude |
| Jones, Mullee, Middleton et al. 1995 | RCT PF self-mgt vs. M.D. mgt | M.D. review of symptom diary. Five study visits |
| Yes | Yes | NR | Yes | Include |
| Drummond, Abdalla, Buckingham et al. 1994 GRASSIC | RCT 2x2x2 Integrated vs. conventional care | Usual care | Integrated care - systematic management of chronic disease by specialists and general practitioners | No | Yes | Yes | No | Exclude |
| Drummond, Abdalla, Beattie et al. 1994 GRASSIC | RCT 2x2x2 Self-monitoring vs. conventional monitoring of PF | Usual oupt advice (no action plan; no PF). |
| Yes | Yes | Yes | Yes | Include |
| Kotses, Bernstein, Bernstein et al. 1995 | RCT, crossover Self-mgt vs. waiting list control (2 vs. 6 mos baseline) | Usual care (delayed intervention) |
| Yes | Yes | Yes | No | Exclude |
| Ignacio-Garcia and Gonzalez-Santos, 1995 | RCT Self-mgt w/PF vs. Dr. mgt w/symptoms and spirometry |
|
| Yes | Yes | Yes | Yes | Include |
| Osman, Abdalla, Beattie et al. 1994 | RCT Computer enhanced education vs. usual education |
|
| No | Yes | Yes | No | Exclude |
| Gillies, Barrie, Crane et al. 1996 | Pre-post; prospective. Written action plan vs. Usual care | Usual care | Written action plan, using both symptoms and peak flow as appropriate | Yes | No | Yes | Yes | Exclude |
| Hoskins, Neville, Smith et al. 1996 | Randomized practitioners Action plan + usual care vs. usual care | Usual care | Written action plan based on symptoms and/or PF readings | Yes | No | Yes | Yes | Exclude |
| Madge, McColl, Paton et al. 1997 | RCT Self-mgt vs. usual care | Usual care |
| Yes | Yes | No | No | Exclude |
| Cote, Cartier, Robichaud et al. 1997 | RCT Optimization only vs. optimization + self mgt w/PF vs. optimization + self mgt w/symptoms | 1. Limited education | Group 1
| Yes | Yes | NR | No (Control vs. intervention) Yes (Group 1 vs. Group 2) | Include |
| Lindberg, Ahlner, Moller et al. 1999 | Pre-post Nurse education in self mgt vs. usual care | Usual care |
| Yes | No | Yes | No | Exclude |
| Heard, Richards, Alpers 1999 | RCT Unblinded Education + written plan vs. usual care | Usual care |
| Yes | Yes | Yes | No | Exclude |
| Ghosh, Ravindran, Joshi et al. 1998 | RCT Asthma self-mgt vs. usual care | Usual care |
| Yes | Yes | NR | No | Exclude |
| Turner, Taylor, Bennett et al. 1998 | RCT Self mgt w/PF vs. Self mgt symptoms | No 'control' group | Group 1
| Yes | Yes | Yes | Yes | Include |
| Cowie, Revitt, Underwood et al. 1997 | RCT No action plan vs. action plan w/symptoms vs. action plan w/PF | Education | Group 1
| Yes | Yes | Yes | Yes | Include |
| Lieu, Quesenberry Jr, Capra et al. 1997 | Case control, Associational [not intervention] study | Controls - Patients without hospitalization or ER visit | Cases - Patients with a hospitalization or ER visit in past 24 months | No | No | Not able to determine | No | Exclude |
| Ronchetti, Indinnimeo, Bonci et al. 1997 | RCT Self-mgt education 1 vs. self mgt ed 2 vs. no self mgt | Usual care |
| Yes | Yes | NR | No | Exclude |
| Charlton, Antoniou, Atkinson et al. 1994 | RCT Self mgt w/PF vs. usual care + PF |
|
| Yes | Yes | Yes | Yes | Include |
| Yoon, McKenzie, Bauman et al. 1993 | RCT Education vs. no education |
|
| Yes | Yes | NR | No | Exclude |
| Charlton, Charlton, Broomfield et al. 1990 | RCT PF Self mgt vs. symptoms only self-mgt | Group 1 Written action plan based on PF Group 2 Written action plan based on symptoms | Yes | Yes | NR | Yes | Include | |
| Bailey, Richards Jr, Brooks et al. 1990 | RCT Self mgt vs "usual care" |
|
| Yes | Yes | No | No | Exclude |
| Gallefoss and Bakke 1999 | RCT Education vs. usual care | Usual care |
| Yes | Yes | NR | No | Exclude |
| Mulhauser, Richter, Kraut et al. 1991 | Pre-post, prospective Self-mgt/education vs. usual care | Usual care |
| Yes | No | NR | No | Exclude |
| Maslennikova, Morosova, Salman et al. 1998 | RCT Self-mgt education 1 vs. self mgt ed 2 vs. no self mgt | Usual care | Education (4 sessions 1-1.25 hrs) - one of two programs based on literacy levels | Yes | Yes | NR | No | Exclude |
| Malo, L'Archeveque, Trudeau et al. 1993 | RCT, single-blind, crossover Symptom monitoring vs. PF monitoring | Symptom monitoring | PF self-monitoring | No | Yes | NR | Yes | Exclude |
| Smith, Seale, Ley et al. 1994 | Pre-post Written action vs. usual care |
|
| Yes | No | NR | No | Exclude |
| Lahdensuo, Haahtela, Herrala et al. 1996 | RCT Self-mgt vs. usual care To detect exacerbations | Usual care |
| Yes | Yes | No | No | Exclude |
| Ayres and Campbell 1996 | RCT, open Self mgt vs. Dr. mgt To adjust daily ICS dose |
|
| Yes | Yes | NR | Yes | Include |
| Citation | Study Arm | # Enrolled # Evaluable | Medication | Intervention Components | Treatment Duration (weeks) | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PFM Use (freq) | Action Plan | Education | Symptom Diary | Follow-up | Pt Counseling | Behavior Mod | Environ Mod | |||||
| Optimal medical management vs. optimal medical management + PFM action plan | ||||||||||||
| Jones, Mullee, Middleton, et al., 1995 -- Randomized; parallel, controlled | Usual care | 64/39 | ICS, <1,000 mcg/day | X | X | 24 | ||||||
| PFM action plan | 63/33 | ICS, <1,000 mcg/day | X 1x/day | X | X | X | 24 | |||||
| Drummond, Abdalla, Beattie, et al., 1994 (GRASSIC) -- Randomized; parallel, controlled | Usual care | 284/260 | Not stated | X | 52 | |||||||
| PFM action plan | 285/250 | Not stated | X (not specified) | X | X | 52 | ||||||
| Ayres, Campbell and Follows, 1995 - Randomized; parallel, controlled | Usual care | 64/64 | BUD, 490 mcg/day | X | X | 24 | ||||||
| PFM action plan | 61/61 | BUD, 446 mcg/day | X 2x/day | X | X | X | 24 | |||||
| Cowie, Revitt, Underwood, et al., 1997 - Randomized; parallel, controlled | Usual care | 48/ | ICS, 1,066 mcg/day | X | X | X | 24 | |||||
| PFM action plan | 46/ | ICS, 908 mcg/day | X (not specified) | X | X | X | X | 24 | ||||
| Cote, Cartier, Robichaud et al., 1997 - Randomized; parallel, controlled | Usual care | 54/ | BDP, 1,370 mcg/day | X | 52 | |||||||
| PFM action plan | 50/ | BDP, 1,380 mcg/day | X 2x/day | X | X | X | 52 | |||||
| Usual care + PFM use alone vs. usual care + PFM action plan | ||||||||||||
| Ignacio-Garcia and Gonzalez-Santos, 1995 - Randomized; parallel, controlled | Usual care + PFM use | 44/35 | BUD, oral beta-2 agonists, theophylline, prednisone | X 1x/day | X | X | 28 | |||||
| Usual care + PFM action plan | 50/35 | BUD, oral beta-2 agonists, theophylline, prednisone | X 1x/day | X | X | X | X | 28 | ||||
| Charlton, Antoniou, Atkinson, et al., 1994 - Randomized; parallel, controlled | Usual care + PFM use | 43/ | Not stated | X 2x/day | X | X | X | 52 | ||||
| Usual care + PFM action plan | 48/ | Not stated | X 2x/day | X | X | X | X | 52 | ||||
| PFM action plan vs. symptom action plan | ||||||||||||
| Turner, Taylor, Bennett, et al., 1998 - Randomized; parallel, controlled | Symptom action plan | 48/48 | ICS, ~460 mcg/day | X | X | X | X | X | X | 24 | ||
| PFM action plan | 44/44 | ICS, ~370 mcg/day | X (not specified) | X | X | X | X | X | X | 24 | ||
| Charlton, Charlton, Broomfield, et al., 1990 - Randomized; parallel, controlled | Symptom action plan | 64/ | Not stated | X | X | X | 52 | |||||
| PFM action plan | 51 | Not stated | X (not specified) | X | X | X | X | 52 | ||||
| Cowie, Revitt, Underwood, et al., 1997 - Randomized; parallel, controlled | Symptom action plan | 45/ | ICS, 870 mcg/day | X | X | X | X | 24 | ||||
| PFM action plan | 46/ | ICS, 908 mcg/day | X (not specified) | X | X | X | X | 24 | ||||
| Cote, Cartier, Robichaud et al., 1997 - Randomized; parallel, controlled | Symptom action plan | 45/ | BDP, 1,522 mcg/day | X | X | X | X | 52 | ||||
| PFM action plan | 50/ | BDP, 1,380 mcg/day | X 2x/day | X | X | X | 52 | |||||
X= outcome reported
| Citation | Study Arm | # Enrolled # Evaluable | Pop Age (years) | Outcomes Reported | Comments | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| FEV1 | PEF | Sx | Meds | Exacerbation | Utilization | |||||
| Optimal medical management vs. optimal medical management + PFM action plan | ||||||||||
| Jones, Mullee, Middleton, et al., 1995 | Usual care | 64/39 | 28.6 (Mean) +/−7 | X | X | X | X | Course of oral steroids given before randomization to optimize lung function | ||
| PFM action plan | 63/33 | 30.4 (Mean) +/−11.5 | X | X | X | X | ||||
| Drummond, Abdalla, Beattie, et al., 1994 (GRASSIC) | Usual care | 284/260 | 50.5 (Mean) (95% CI 48.4-52.6) | X | X | X | X | X | Patient eligibility based on lung function and utilization | |
| PFM action plan | 285/250 | 51.1 (Mean) (95% CI 49.2-53.0) | X | X | X | X | X | |||
| Ayres, Campbell and Follows, 1995 | Usual care | 64/64 | 47 (Mean) +/− 16.0 | X | X | X | X | Patient eligibility based on lung function, symptoms, utilization | ||
| PFM action plan | 61/61 | 44 (Mean) +/−15.6 | X | X | X | X | ||||
| Cowie, Revitt, Underwood, et al., 1997 | Usual care | 48/ | 36.4 (Mean) +/−12.76 | X | X | X | X | Subjects were recruited by contacting those who had been treated for an exacerbation of asthma in an ER or those attending a university asthma clinic with a history of having received urgent treatment for their asthma in the previous 12 months. | ||
| PFM action plan | 46/ | 39.1 (Mean) +/−14.41 | X | X | X | X | ||||
| Cote, Cartier, Robichaud et al., 1997 | Usual care | 54/ | 36 (Mean) +/−22.0 | X | X | X | Patient eligibility based on lung function and symptoms | |||
| PFM action plan | 50/ | 37 (Mean) +/−14.1 | X | X | X | |||||
| Usual care + PFM use alone vs. usual care + PFM action plan | ||||||||||
| Ignacio-Garcia and Gonzalez-Santos, 1995 | Usual care + PFM use | 44/35 | 43 (Mean) +/−16.1 | X | X | X | X | Patient eligibility based on utilization only | ||
| Usual care + PFM action plan | 50/35 | 40.88 (Mean) +/−18.1 | X | X | X | X | ||||
| Charlton, Antoniou, Atkinson, et al., 1994 | Usual care + PFM use | 43/37 | 6.2 (Mean); Range: 3-16 | X | X | X | X | Patient eligibility based on utilization only Inclusion: pts who required admission for asthma or attended the Outpatient Dept. | ||
| Usual care + PFM action plan | 48/42 | 6.8 (Mean); Range: 3-16 | X | X | X | X | ||||
| PFM action plan vs. symptom action plan | ||||||||||
| Turner, Taylor, Bennett, et al., 1998 | Symptom action plan | 48/48 | 34.1 (Mean) +/−9.4 | X | X | X | X | X | Patient eligibility based on lung function and symptoms | |
| PFM action plan | 44/44 | 34.1 (Mean) +/−10.5 | X | X | X | X | X | |||
| Charlton, Charlton, Broomfield, et al., 1990 | Symptom action plan | 64/ | X | X | Patient eligibility based on symptoms only; patients were not randomly selected for participation. Letters were sent to patients on the repeat prescribing register and invited to make an appointment with a nurse | |||||
| PFM action plan | 51 | X | X | |||||||
| Cowie, Revitt, Underwood, et al., 1997 | Symptom action plan | 45/ | 36.8 (Mean) +/−16.5 | X | X | X | X | Patient eligibility based on symptoms and utilization; subjects were recruited by contacting those who had been treated for an exacerbation of asthma in an ER or those attending a university asthma clinic with a history of having received urgent treatment for their asthma in the previous 12 months | ||
| PFM action plan | 46/ | 39.1 (Mean) +/−14.41 | X | X | X | X | ||||
| Cote, Cartier, Robichaud et al., 1997 | Symptom action plan | 45/ | 39 (Mean) +/−13.4 | X | X | X | Patient eligibility based on lung function and symptoms; | |||
| PFM action plan | 50/ | 37 (Mean) +/−14.1 | X | X | X | |||||
"X" = outcome reported
| Citation | Study Arm | # Enrolled # Evaluable | Overall Change FEV1 | Treatment Difference | p Value | Overall Change PEF | Treatment Difference | p Value |
|---|---|---|---|---|---|---|---|---|
| Usual care vs. PFM action plan | ||||||||
| Jones, Mullee, Middleton, et al., 1995 | Usual care | 64/39 | −4.2% pred | −2.0% pred | ||||
| PFM action plan | 63/33 | −3.9% pred | 0.2% pred | NS | −0.8% pred | 1.2% pred | NS | |
| Drummond, Abdalla, Beattie, et al., 1994 (GRASSIC) | Usual care | 284/260 | −2.7% pred | 3.4 L/min | ||||
| PFM action plan | 285/250 | −2.7% pred | 0 | NS | 5.5 L/min | 2.1 L/min | NS | |
| Ayres, Campbell and Follows, 1995 | Usual care | 64/64 | 0.2 L | 28 L/min | ||||
| PFM action plan | 61/61 | 0.0 L | −0.2 L | NS | 10 L/min | 18 L/min | NS | |
| Cowie, Revitt, Underwood, et al., 1997 | Usual care | 48/ | NR | NR | ||||
| PFM action plan | 46/ | NR | NR | |||||
| Cote, Cartier, Robichaud et al., 1997 | Usual care | 54/ | NR | NR | ||||
| PFM action plan | 50/ | NR | NR | |||||
| Usual care + PFM use alone vs. usual care + PFM action plan | ||||||||
| Ignacio-Garcia and Gonzalez-Santos, 1995 | Usual care + PFM use | 44/35 | 0.2% pred | 5 L/min | ||||
| Usual care + PFM action plan | 50/35 | 11.4% pred | 11.2% pred | <0.004 | 31 L/min | 26 L/min | <0.003 | |
| Charlton, Antoniou, Atkinson, et al., 1994 | Usual care + PFM use | 43/37 | NR | NR | ||||
| Usual care + PFM action plan | 48/42 | NR | NR | |||||
| PFM action plan vs. symptom action plan | ||||||||
| Turner, Taylor, Bennett, et al., 1998 | Symptom action plan | 48/48 | 7.4% pred | 40 L/min | ||||
| PFM action plan | 44/44 | 4.9% pred | −2.5% pred | NS | 38 L/min | 2 L/min | NS | |
| Charlton, Charlton, Broomfield, et al., 1990 | Symptom action plan | 64/ | NR | NR | ||||
| PFM action plan | 51 | NR | NR | |||||
| Cowie, Revitt, Underwood, et al., 1997 | Symptom action plan | 45/ | NR | NR | ||||
| PFM action plan | 46/ | NR | NR | |||||
| Cote, Cartier, Robichaud et al., 1997 | Symptom action plan | 45/ | NR | NR | ||||
| PFM action plan | 50/ | NR | NR | |||||
| Citation | Study Arm | # Enrolled # Evaluable | Change in Symptom Score | Treatment Difference | p Value | Change in Symptom Frequency | Treatment Difference | p Value | Change in B-Agonist Use | Treatment Difference | p Value | Oral Steroid Use | p Value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Usual care vs. PFM action plan | |||||||||||||
| Jones, Mullee, Middleton, et al., 1995 | Usual care | 64/39 | 4.95 a (0-3 scale) x (28 days) | ||||||||||
| PFM action plan | 63/33 | 2.85 a (0-3 scale) x (28 days) | 2.10 | NS | |||||||||
| Drummond, Abdalla, Beattie, et al., 1994 (GRASSIC) | Usual care | 284/260 | 2.6 a nights/wk with symptoms | 9.0 (mean # prescribed/pt) | 1.1 (beta-2 agonist prescribed/pt) | NS | 1.4 courses/pt | ||||||
| PFM action plan | 285/250 | NS a | 2.3 a nights/wk with symptoms | −0.3 nights/wk with symptoms | NS | 10.1 (mean # prescribed/pt) | 1.4 courses/pt | NS a | |||||
| Ayres, Campbell and Follows, 1995 | Usual care | 64/64 | −0.52 (0-3 scale) | −0.13 | NS | −3.9 nights/wk with symptoms | |||||||
| PFM action plan | 61/61 | −0.39 (0-3 scale) | −3.9 nights/wk with symptoms | 0 nights/wk with symptoms | NS | NS a | |||||||
| Cowie, Revitt, Underwood, et al., 1997 | Usual care | 48/ | 4.9 a nights/wk with symptoms | ||||||||||
| PFM action plan | 46/ | 4.9 a nights/wk with symptoms | 0 nights/wk with symptoms | NS | |||||||||
| Cote, Cartier, Robichaud et al., 1997 | Usual care | 54/ | 0.5 courses/pt | ||||||||||
| PFM action plan | 50/ | 0.7 courses/pt | NS | ||||||||||
| Usual care + PFM use alone vs. usual care + PFM action plan | |||||||||||||
| Ignacio-Garcia and Gonzalez-Santos, 1995 | Usual care + PFM use | 44/35 | 37.9 nights with symptoms | 1 dose/pt/6 mos | 1,350 mg total use/pt | ||||||||
| Usual care + PFM action plan | 50/35 | 16.5 nights with symptoms | −21.4 nights with symptoms | <0.001 a | −47 doses/pt/6 mos | −48 doses/pt/6 mos | NS | 927 mg total use/pt | NS | ||||
| Charlton, Antoniou, Atkinson, et al., 1994 | Usual care + PFM use | 43/37 | 0.22 a (0-3 scale) | 0.04 (0-3 scale) | NS | 1.7 a puffs/day | −0.2 puffs/day | NS | 0 days/pt/yr | NS | |||
| Usual care + PFM action plan | 48/42 | 0.26 a (0-3 scale) | 1.9 a puffs/day | 2.0 days/pt/yr | |||||||||
| PFM action plan vs. symptom action plan | |||||||||||||
| Turner, Taylor, Bennett, et al., 1998 | Symptom action plan | 48/48 | −3.9 (0-24 scale) | 6 total pts treated | |||||||||
| PFM action plan | 44/44 | −5.0 (0-24 scale) | −1.1 (0-24 scale) | NS | 3 total pts treated | NR | |||||||
| Charlton, Charlton, Broomfield, et al., 1990 | Symptom action plan | 64/ | 12% % pts treated | ||||||||||
| PFM action plan | 51 | 47% % pts treated | NS | ||||||||||
| Cowie, Revitt, Underwood, et al., 1997 | Symptom action plan | 45/ | 3.6 a nights/wk with symptoms | −1.3 nights/wk with symptoms | NS | ||||||||
| PFM action plan | 46/ | 4.9 a nights/wk with symptoms | |||||||||||
| Cote, Cartier, Robichaud et al., 1997 | Symptom action plan | 45/ | 0.9 courses/pt | ||||||||||
| PFM action plan | 50/ | 0.7 courses/pt | NS | ||||||||||
Represents final value. Information not provided to calculate change.
| Citation | Study Arm | # Enrolled # Evaluable | Office Visit | p Value | ER Visit | p Value | Hospital Visit | p Value | Missed Days | p Value | Comments |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Usual care vs. PFM action plan | |||||||||||
| Jones, Mullee, Middleton, et al., 1995 | Usual care | 64/39 | 24 (total pts with any visits) | 21 (total pts with any missed days) | Office visit="seen doctor or hospital doctor" and is the actual # of cases with this outcome | ||||||
| PFM action plan | 63/33 | 17 (total pts with any visit) | NR | 18 (total pts with any missed days) | NR | ||||||
| Drummond, Abdalla, Beattie, et al., 1994 (GRASSIC) | Usual care | 284/260 | 2.2 (Mean) | 0.12 (Mean) | |||||||
| PFM action plan | 285/250 | 2.6 (Mean) | NS | 0.13 (Mean) | NS | ||||||
| Ayres, Campbell and Follows, 1995 | Usual care | 64/64 | |||||||||
| PFM action plan | 61/61 | ||||||||||
| Cowie, Revitt, Underwood, et al., 1997 | Usual care | 48/ | 55 | 6 | ER visits=total 6 mos | ||||||
| PFM action plan | 46/ | 5 | =0.002 | 2 | NS | ||||||
| Cote, Cartier, Robichaud et al., 1997 | Usual care | 54/ | 0.8 +/−1.5 | 0.04 +/−0.3 | 5.2 +/−12.5 | ||||||
| PFM action plan | 50/ | 0.7 +/−1.4 | NS | 0.04 +/−0.3 | NS | 2.2 +/−12.7 | NS | ||||
| Usual care + PFM use alone vs. usual care + PFM action plan | |||||||||||
| Ignacio-Garcia and Gonzalez-Santos, 1995 | Usual care + PFM use | 44/35 | 4.51 +/−4.0 | 1.91 +/−2.8 | 5 (Mean) | 20 +/−28.9 | |||||
| Usual care + PFM action plan | 50/35 | 1.51 +/−1.1 | <0.001 | 0.65 +/−0.7 | <0.05 | 0 (Mean) | NS | 4.92 +/−6.6 | <0.008 | ||
| Charlton, Antoniou, Atkinson, et al., 1994 | Usual care + PFM use | 43/37 | 2 (Median) | 1 (Median) | 4.7 (Median) | ||||||
| Usual care + PFM action plan | 48/42 | 2.3 (Median) | NS | 5 (Median) | NS | 2.1 (Median) | NS | ||||
| PFM action plan vs. symptom action plan | |||||||||||
| Turner, Taylor, Bennett, et al., 1998 | Symptom action plan | 48/48 | 12 | 2 | 1 | 8 | Outcomes are number of pts. with an event. Excludes one pt who was an outlier who was off work for 120 days | ||||
| PFM action plan | 44/44 | 17 | NS | 6 | NS | 0 | NS | 9 | NS | ||
| Charlton, Charlton, Broomfield, et al., 1990 | Symptom action plan | 64/ | 0.53 | ||||||||
| PFM action plan | 51 | 0. | NS | ||||||||
| Cowie, Revitt, Underwood, et al., 1997 | Symptom action plan | 45/ | 45 | 2 | ER visits=total 6 mos | ||||||
| PFM action plan | 46/ | 5 | =0.006 | 2 | NS | ||||||
| Cote, Cartier, Robichaud et al., 1997 | Symptom action plan | 45/ | 0.7 +/−1.3 | 0.09 +/−0.3 | 2.9 +/−12.7 | ||||||
| PFM action plan | 50/ | 0.7 +/−1.4 | NS | 0.04 +/−0.3 | NS | 2.2 +/−12.7 | NS | ||||
The largest body of evidence, five trials enrolling 1,019 patients, compared a PFM-based written action plan to medical management without a written action plan. In two other trials (n=185), a PFM-based written action plan was compared to a control group that had PFMs but no written action plan (Ignacio-Garcia and Gonzalez-Santos, 1995; Charlton, Antoniou, Atkinson et al., 1994). In four trials (n=393), two types of written action plans, PFM-based and symptom-based, were compared (Turner, Taylor, Bennett et al., 1998; Charlton, Charlton, Broomfield et al., 1990; Cowie, Revitt, Underwood et al., 1997; Cote, Cartier, Robichaud et al., 1997).
The trials used a variety of patient selection criteria, including: symptom or medication-based criteria (six trials), utilization-based criteria (five trials); and lung function criteria (four trials).
The setting was specialty care in five studies, primary care in one study, mixed primary and specialty care in two studies, and unknown in one study. Five of the nine studies were multicenter, four were from a single institution.
None of the trials was conducted in the United States. Four were based in the United Kingdom, three in Canada, and one each in Australia and Spain. Four were supported by grants from the pharmaceutical industry, two by academic grants, two by private/hospital funding, and one trial did not specify the funding source.
Eight of the nine trials enrolled an adult population, with mean age ranging from 28.6-51.1 years. One trial (Charlton, Antoniou, Atkinson et al., 1994) was restricted to children with a mean age of approximately 6.5 years (range 3-16). The populations consisted primarily of patients with long-standing asthma. Of the eight trials in adults, six reported the mean duration of asthma, with a range of 8.9-17.9 years. In the trial on children, mean duration of asthma was 4.3 years. It is difficult to assess the level of asthma severity and control of the patients across these trials due to inconsistent reporting of baseline lung function values, symptom frequencies, and utilization.
In the five studies that reported baseline FEV1, the range was 65.34 to 87.1 percent predicted. Standard deviation is large in all these studies. Two studies reported the proportion of patients below 60 percent predicted and one of these also reported the proportion above 80 percent. The baseline means and SDs for FEV1 percent predicted (control and treatment arms, respectively) were as follows:
Ignacio-Garcia and Gonzalez-Santos (1995) reported 65.3 (+/−16.6), and 69.03 (+/−24.0); Jones, Mulee, Middleton et al. (1995) reported 85.4 (+/−17.5) and 87.1 (+/−16.9).
In the study by Turner, Taylor, Bennett et al. (1998), mean was 78.7 (+/−18.9) (>80 percent predicted= 50 percent,<60 percent predicted =12.5 percent) and 78.1 (+/−19.7) (>80 percent predicted= 55 percent,<60 percent predicted= 20.5 percent).
The three-arm trial by Cowie, Revitt, Underwood et al. (1997) reported baseline FEV1 as 78 (+/−21.3) (<60 percent predicted=21 percent) in the control group, 79 (+/−18) (<60 percent predicted=18 percent) in the symptom-based plan group, and 82 (+/−20.5) (<60 percent predicted=20 percent) in the PFM-based group
The GRASSIC trial (Drummond, Abdalla, Beattie et al., 1994) reported 78.1 percent (95 percent CI 74.8-81.4, calculated SD 26.7) in the control arm and 77.3 percent (95 percent CI 74.1-80.5, calculated SD 26.0) in the treatment arm.
Cote, Cartier, Robichaud et al. (1997) restricted their population to primarily moderate to severe asthma and reported a mean baseline PEF percent predicted of approximately 95 percent.
Baseline symptom values were reported for only three of the study populations. Because of differences in units, these data were not helpful in comparing baseline severity across studies. Ayres, Campbell, and Follows (1996) reported baseline symptom scores of 1.8-1.9 (+/−0.6) on a 0-3 scale; Turner, Taylor, Bennett et al. (1998) reported a baseline symptom score of 8-9 on a scale of 0-24. Cowie, Revitt, Underwood et al. (1997) reported the number of nights per week with symptoms, which was 4.9 (+/−5.7) in the control group, 3.6 (+/−6.07) in the symptom-based plan group, and 4.9 (+/−7.11) in the PFM-based plan group. Ayres, Campbell, and Follows (1996) also reported number of nights per week with symptoms during the week before study entry, with an average of 5.2 for both groups.
Seven trials used utilization-based patient selection criteria. Studies varied in how the baseline utilization information for the period prior to study entry was collected. Three studies used a patient interview and consulted the medical record (Cote, Cartier, Robichaud et al., 1997; Ignacio-Garcia and Gonzalez-Santos, 1995; Turner, Taylor, Bennett et al., 1998). One study used patient interview only (Cowie, Revitt, Underwood et al., 1997), and one used records only (Charlton, Antoniou, Atkinson et al., 1994). The GRASSIC study (Drummond, Abdalla, Beattie et al., 1994) did not use baseline information in the analysis; utilization outcomes were collected for the study period only.
Cowie, Revitt, Underwood et al. (1997) recruited patients who had received urgent treatment in the ER or clinic for asthma exacerbation in the past year. At baseline, mean urgent care visits per person in the past year were 3.5 (+/−3.4) in the control group, 2.6 (+/−4.53) in the symptom-based plan group and 3.3 (+/−7.56) in the PFM-based plan group. Mean hospital admissions per person were 0.48, 0.35, and 0.49, respectively (SD not available).
Cote, Cartier, Robichaud et al. (1997) recruited patients from three tertiary care hospitals who had been admitted for asthma or treated in a pulmonary clinic during an 8-month period. Baseline ER visits per patient in the year prior to study participation were 2.4 (+/−2.9) in the control group, 1.9 (+/−2.7) in the symptom-based plan group, and 2.3 (+/−2.8) in the PFM-based plan group. Baseline hospitalizations were 0.21 (+/−0.44), 0.40 (+/−2.7), and 0.24 (+/−0.50) respectively.
Charlton, Antoniou, Atkinson et al. (1994) enrolled children with either a hospital admission for asthma or who attended the hospital's outpatient department; 55 percent of all patients enrolled in the study had a hospital admission in the past 6 months.
Charlton, Charlton, Broomfield et al. (1990) recruited patients from a single asthma clinic by sending letters to all patients on the repeat prescribing register and enrolling respondents. Patients selected for the Ayres, Campbell, and Follows (1996) study had one documented exacerbation in the prior 6 months that required contact with a physician or nurse.
The Ignacio-Garcia and Gonzalez-Santos (1995) study enrolled patients from a hospital outpatient asthma clinic who had asthma of at least 2 years' duration. Baseline ER visits for the prior 6 months were 2.08 (+/−2.07) in the control group and 1.94 (+/−1.30) in the PFM-based plan group. Prior hospitalization was 0.11 per person in both groups (SD not available).
GRASSIC (Drummond, Abdalla, Beattie et al., 1994) recruited patients attending outpatient chest clinics in a three-city region.
All studies used a written action plan that contained the following components: a written algorithm given to patients that identified specific clinical indicators that should trigger adjustments in medications; and specific instructions on how to adjust medications in response to such triggers. The medication regimen was classified as "optimized" if the patient's medications were reviewed and adjusted at entry or if the investigators sent a letter to the patient's physician recommending adjustments to medication. The medications were classified as "usual care" if patients continued their existing physician-prescribed regimen without adjustment or recommendation by the study investigators. Studies in which one arm (typically the treatment arm) received an optimized regimen and the comparison arm (typically the control) received usual care were excluded from this systematic review of evidence.
The written action plans were typically four-zone plans, although some studies used three-zone plans. Some four-zone action plans provided the patient with a prescription for oral corticosteroids and directed the patient to initiate treatment and then advise the treating physician; others instructed the patient to contact the treating physician in order to initiate oral corticosteroids. Three-zone plans did not give directions on the use of oral corticosteroids prior to seeking emergency medical care.
The frequency of PFM use varied between once and twice per day. Other components of the treatment intervention varied across trials. Two of the five had education interventions in both groups, apart from instructions on PFM use and action plans. Four of the five trials had regularly scheduled followup in both groups, two included use of a symptom diary, and one included individual patient counseling.
In each of these two studies (Ignacio-Garcia and Gonzalez-Santos, 1995; Charlton, Antoniou, Atkinson et al., 1994), both groups performed peak flow self-monitoring, kept a symptom diary, and had regularly scheduled followup visits. Ignacio-Garcia and Gonzalez-Santos (1995) included a brief educational component in the action plan group that was not given to the control group. This brief educational session was 30 minutes in length, within the 1 hour or less threshold that was used as a selection criterion.
Eight of nine studies reported utilization outcomes in some manner. The utilization outcomes that were reported varied in type (office visits, ER visits, hospitalizations, missed days of work or school), units of reporting (number of patients with event, number of events/person, total number of events over study), and statistical presentation (mean, median). Five studies reported on office visits; four studies on reported ER visits; six studies reported on hospitalizations; and five studies reported on missed days of work or school.
Medication use outcomes were reported in seven of the nine studies. Six of these seven studies reported oral corticosteroid usage, using a variety of reporting units (e.g., courses per patient, total number of milligrams, days used per patient per year, percent of patients treated). Two of the seven studies reported beta-2 agonist usage.
Lung function outcomes were reported in five of the nine studies. Both FEV1 and PEF outcomes were reported in these five studies, although the units of reporting varied (e.g., percent predicted, absolute value in liters or L/min). Only one of the five studies reporting lung function outcomes included bronchial hyperresponsiveness.
Four of nine studies reported on symptom outcomes. All four reported daytime symptom score outcomes, with variation in the type and range of symptom scores. Three of the four studies also included nighttime symptom scores. Symptom frequency measures and/or frequency of exacerbations were also reported in three of the four studies
Most studies did not clearly define the primary endpoints of interest. To do so requires a model of the expected impact of an asthma management plan and which outcomes are the goals of treatment. For example, if the goal of an asthma management plan is to control symptoms and prevent exacerbations, reporting change in lung function (e.g., FEV1) from baseline to final lung functions is less useful than measures that indicate the level of control achieved throughout the course of the study. The disease features that are the target of intervention may be too variable over time to be captured by single measures at study entry and endpoint. Comparisons of symptom frequency, beta-2 agonist use, exacerbations, or oral corticosteroid use over followup period compared to the run-in period provide more meaningful measures.
An important goal of asthma management is to prevent serious or potentially life-threatening events as indicated by ER visits or hospitalizations. However, these events occur infrequently in the overall population of asthmatics. In order to assess the impact of a written management plan on these outcomes, the study population selected should either be extremely large or have a high baseline frequency of events. Interpretation of data on courses of oral corticosteroid used or unscheduled physicians visits may be difficult in the absence of data on serious events. For example, an increase in oral corticosteroid use or unscheduled physician visits might be a favorable outcome if ER utilization and hospitalization decreases significantly as a result.
Quality of study design and conduct was assessed as described in the "Methodology" chapter. The objective was to identify a group of higher quality trials for purposes of sensitivity analysis. The definition for higher quality studies includes general quality indicators that have been shown to minimize biases that could overestimate the magnitude of effect in randomized controlled trials, and disease-specific features that control for potential confounders of outcomes. To be defined as a higher quality study, we usually require three general quality indicators: (1) double blinding; (2) appropriate handling of exclusions and withdrawals as demonstrated by percentage of excluded patients below threshold or results analyzed by intent to treat; and (3) concealment of treatment allocation.
| General Quality Indicators | Asthma-Specific Quality Indicators | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Citation | Blinding | Percentage of excluded subjects below specified threshold? (required) | Allocation concealed? (NS=not specified) | Accounted for excluded patients? | Power calculations? | Reversibility established? | Controlled for other medication use? | Reported compliance? | Addressed seasonality? |
| Jones, Mulee, Middleton et al., 1995 | (No) | No | (NS) | No | Yes | No | Yes | No | No |
| GRASSIC (Drummond, Abdalla, Beattie et al., 1994) | (No) | No | (NS) | No | Yes | Yes | No | No | No |
| Ayres, Campbell, and Follows, 1996 | (No) | No | (NS) | Yes | Yes a | No | Yes | No | No |
| Cowie, Revitt, Underwood et al., 1997 | (No) | NS | (NS) | NS | No | No | No | No | No |
| Cote, Cartier, Robichaud et al., 1997 | (No) | No | (NS) | Yes | No | Yes | No | Yes | No |
| Ignacio-Garcia and Gonzalez-Santos, 1995 | (No) | No | (NS) | No | No | No | No | No | No |
| Charlton, Antoniou, Atkinson et al., 1994 | (No) | No | (NS) | No | No | No | No | No | No |
| Turner, Taylor, Bennett et al., 1998 | (No) | No | (NS) | Yes | No | No | No | Yes | No |
| Charlton, Charlton, Broomfield et al., 1990 | (No) | NS | (NS) | NS | No | No | No | No | No |
( ) Indicates generic quality indicators that were not required for this class of studies, due to the nature of the intervention.
Power calculations reported, but number of enrolled patients failed to reach threshold for adequate power.
None of the included studies met either of the remaining two general quality indicators that were used to define higher quality studies. In all of the studies, the number of patients excluded from analysis exceeded the predefined threshold. Nor did any of the studies report whether the method of allocation to treatment arm was concealed.
With respect to the asthma-specific quality indicators, three studies reported prospective power calculations (Jones, Mulee, Middleton et al., 1995; Drummond, Abdalla, Beattie et al., 1994; Ayres, Campbell, and Follows, 1996), but the number of patients in the Ayres, Campbell, and Follows (1996) study failed to reach the threshold for adequate power. Each of these three studies also fulfilled one of the additional disease-specific features that control for potential confounders of outcomes.
GRASSIC (Drummond, Abdalla, Beattie et al., 1994) established reversibility and also met at least of one of our designated asthma-related quality indicators; Jones, Mulee, Middleton et al. (1995) and Ayres, Campbell, and Follows (1996) controlled for other medication use. Two additional studies reported on compliance (Cote, Cartier, Robichaud et al., 1997; Turner, Taylor, Bennett et al., 1998), and one study (Cote, Cartier, Robichaud et al., 1997) also established reversibility of lung obstruction. The remaining four studies did not did not report on any of our designated asthma-related indicators (Cowie, Revitt, Underwood et al., 1997; Ignacio-Garcia and Gonzalez-Santos, 1995; Charlton, Antoniou, Atkinson et al., 1994; Charlton, Charlton, Broomfield et al., 1990).
In general, the included studies did not clearly identify the patient population expected to benefit from a written asthma plan or specify the primary outcomes of interest; nor was the level of improvement to be considered clinically meaningful prospectively defined. Only three of the nine studies reported power calculations. In two of the three studies, power was calculated based on effect size observed in an earlier study that lacked a contemporaneous control group, and this effect size was much larger than that ultimately observed in the setting of randomized controlled trials (Jones, Mulee, Middleton et al., 1995; Ayres, Campbell, and Follows, 1996). As a consequence, this literature is largely composed of studies that enrolled too few patients to have adequate power to detect a difference in outcome between the treatment and control groups. When the outcomes of interest are infrequent events such as hospitalization or ER visits, the study population must either be very large or else selected for a high baseline rate of utilization.
The GRASSIC trial (Drummond, Abdalla, Beattie et al., 1994; n=569) reported 80 percent power at the 5 percent significance level to detect a difference equivalent to 23 percent of the SD for each variable of interest. Based on the number of patients actually accrued (n=45 control, 39 treatment arm), the study by Jones, Mulee, Middleton et al. (1995) was estimated to have 80 percent power to detect at the 5 percent significance level the following differences between groups: 13 points for FEV1 percent predicted; 25 percent for patients with night awakenings; and 30 percent for patients taking days off school or work. Ayres, Campbell, and Follows (1996) calculated 52 patients per group to detect a 28 percent reduction in the number of sleep-disturbed nights; but the reduction actually observed was 3 percent.
| Assumed control mean | Possible treatment mean | % decrease | N needed per study arm |
|---|---|---|---|
| 0.10 | 0.075 | 25 | 3,077 |
| 0.10 | 0.05 | 50 | 770 |
| 0.10 | 0.025 | 75 | 342 |
| 0.20 | 0.015 | 25 | 770 |
| 0.20 | 0.10 | 50 | 193 |
| 0.20 | 0.05 | 75 | 86 |
| 0.30 | 0.225 | 25 | 342 |
| 0.30 | 0.15 | 50 | 86 |
| 0.30 | 0.075 | 75 | 38 |
Studies were identified that contained baseline rates on hospitalizations/patient/year, or information that allowed calculation of this parameter (Drummond, Abdalla, Beattie et al., 1994; Cote, Cartier, Robichaud et al., 1997; Cowie, Revitt, Underwood et al., 1997; Ignacio-Garcia and Gonzalez-Santos, 1995). Baseline rates of hospitalization varied in these studies from 0.04-0.29/patient/year. Standard deviations for this outcome were available only in two studies; Cote, Cartier, Robichaud et al. (1997) reported an SD of 0.30 for this variable, and an SD of 0.35 was calculated from the confidence intervals reported in GRASSIC (Drummond, Abdalla, Beattie et al., 1994). For the calculations, the more conservative 0.35 estimate for SD was used.
Number of patients per study arm were estimated for 80 percent power at the 5 percent significance level using control arm means of 0.10, 0.20, and 0.30 hospitalizations/patient/year. The expected reduction in this variable was tested along a spectrum from 25-75 percent.
By these calculations, a study with a sample size similar to GRASSIC (approximately 250 patients per treatment arm) would have power to detect a reduction of 50 percent or more in the hospitalization outcome given a control rate of 0.2 hospitalizations per patient per year or higher. In actuality, GRASSIC (Drummond, Abdalla, Beattie et al., 1994) found that the mean number of hospitalizations per patient per year was 0.12 in the control arm and 0.13 in the treatment arm, closer to the 0.10 calculated baseline rate. With this baseline rate, a sample size of over 700 patients per arm would be required to detect a 50 percent change in baseline rates, while over 3,000 patients per arm would be required to detect a difference of 25 percent.
The other eight studies in this evidence base were of smaller size, with a range of approximately 40-65 patients per study arm. It was estimated that, with 86 patients per study arm and an assumed 0.30 hospitalizations per patient per year baseline mean for the control arm, a 50 percent difference in outcome could be detected.
Apparent treatment effects may be biased by important baseline differences between treatment groups, or differences that result from withdrawals over the course of the study. Tests of statistical significance are frequently used to assess the importance of such differences. But given the small sample size of many of the included studies, there may be insufficient power to detect differences in baseline characteristics, just as there is insufficient power to detect differences in outcome. Thus, baseline differences that are not statistically significant when pre-intervention characteristics are compared may nonetheless be sufficient to bias results over the course of the study.
Seven trials compared medical management with and without a written action plan; all used a PFM-based plan. Five of the trials compared a PFM-based action plan with medical management alone. In two of the seven trials, the control group also used PFMs, but had no written action plan.
Five trials (Jones, Mulee, Middleton et al., 1995; Drummond, Abdalla, Beattie et al., 1994, Ayres, Campbell, and Follows, 1996; Cowie, Revitt, Underwood et al., 1997; Cote, Cartier, Robichaud et al., 1997) compared use of a peak-flow meter based action plan in the treatment group and medical management alone in the control group. Altogether, 1,019 patients were enrolled. The largest of these trials was the GRASSIC study (n=569), a community study conducted in the United Kingdom (Drummond, Abdalla, Beattie et al., 1994).
Utilization outcomes were reported in some manner in all five studies. In all, nine comparisons of utilization measures were abstracted from these five studies (three hospitalizations, two office visits, two ER visits, two missed school/work). A statistically significant difference between groups was reported for only one of these nine comparisons, in favor of the PFM-action plan group.
Cowie, Revitt, Underwood et al., (1997) reported an 11-fold difference in total ER visits for the PFM-action plan group (p=0.002): 5 visits among 5 patients compared to 55 visits among 19 patients. Cowie, Revitt, Underwood et al., (1997) also reported fewer total hospitalizations among the PFM-action plan group (2 vs. 12), but this difference did not reach statistical significance. Cote, Cartier, Robichaud et al. (1997) reported no difference in the mean number of ER visits per patient (0.8 vs. 0.7, p=NS) or in the mean number of hospitalizations per patient (0.04 vs. 0.04, p=NS). The GRASSIC trial (Drummond, Abdalla, Beattie et al., 1994) was the third study reporting frequency of hospitalizations and found no difference in the mean number of hospitalizations per patient (0.12 vs. 0.13, p=NS).
Two studies reported on the number of office visits, with no significant differences found in either case. Jones, Mulee, Middleton et al. (1995) reported the number of patients with an unscheduled office visit (24 of 45 in usual care vs. 17 of 39 in PFM-based action plan group, p=NS). The GRASSIC study (Drummond, Abdalla, Beattie et al., 1994) reported the mean number of office visits for asthma/patient/year (2.2 in the usual care vs. 2.6 in the PFM-action plan group).
Missed days of work and/or school were reported in two studies. Jones, Mulee, Middleton et al. (1995) reported a median of 0 days of missed work/school for both groups. Cote, Cartier, Robichaud et al. (1997) reported a higher number of missed days in the usual care group as compared to the PFM-action plan group (5.2 vs. 2.2, p=NS), but the difference did not reach statistical significance.
Four of the five studies reported measures related to changes in the frequency or severity of symptoms. No findings were statistically significant, including those of the largest study, the GRASSIC trial (Drummond, Abdalla, Beattie et al., 1994).
Two studies reported symptom scores. Jones, Mulee, Middleton et al. (1995) reported daytime symptom scores that tended to be lower for the PFM-based group as compared to usual care (cough: 2.85 vs. 4.95; wheeze: 4.39 vs. 5.46; shortness of breath: 6.50 vs. 7.88; activity restriction: 0 vs. 0.17); while Ayres, Campbell, and Follows (1996) reported symptom scores that were very similar among the PFM-action plan and the usual care group (overall severity of asthma: 1.38 vs. 1.39; cough at rest: 0.87 vs. 0.69; cough with activity: 1.28 vs. 1.30; wheeze: 0.74 vs. 0.67; difficulty breathing: 0.85 vs. 0.96; sleep disturbance: 0.67 vs. 0.69). In both studies, none of the group comparisons in symptom scores reached statistical significance.
Symptom frequency measures were reported as days/month of restricted activity in one study (Drummond, Abdalla, Beattie et al., 1994), and as nights/week with symptoms in two studies (Drummond, Abdalla, Beattie et al., 1994; Ayres, Campbell, and Follows, 1996). None of the group comparisons of symptom frequency measures were statistically significant. Two studies compared the number of oral corticosteroid courses among groups (Drummond, Abdalla, Beattie et al., 1994; Cote, Cartier, Robichaud et al., 1997), with no group differences reported.
Three of the five studies reported lung function outcomes (Jones, Mulee, Middleton et al., 1995; Drummond, Abdalla, Beattie et al., 1994; Ayres, Campbell, and Follows, 1996), including both FEV1 and PEF data in all three cases. There were no statistically significant differences between groups for any of these comparisons. An unexpected observation is that a decline in FEV1 was observed in both arms of the trials by Jones, Mulee, Middleton et al. (1995) (−4.2 and −3.9 percent predicted) and GRASSIC (Drummond, Abdalla, Beattie et al., 1994) (both −2.7 percent predicted). In Jones, Mulee, Middleton et al. (1995), this decline followed a 2-week period of treatment with oral corticosteroids and may represent a falling off from optimal lung function. Ayres, Campbell, and Follows (1996) found an increase of 0.2 L in the control group and no change in the PFM-based plan group
Of the five trials comparing a PFM-based action plan to no action plan, one found statistically significant results. Cowie, Revitt, Underwood et al. (1997) reported a reduction in total ER visits for the PFM-action plan group (5 vs. 55, p=0.002). However, this trial has significant limitations and is not adequate to demonstrate that a written action plan is superior to medical management alone. None of the five studies reported a significant difference in any other measures of utilization, symptoms, or lung function that were abstracted. This includes the largest of these trials, the GRASSIC study (Drummond, Abdalla, Beattie et al., 1994). But these studies are not adequately powered to demonstrate that there is no benefit from a written action plan.
Data presented in the Cowie, Revitt, Underwood et al. (1997) study suggest that the difference in ER visits is attributable to a subset of patients who were high frequency users. At baseline the mean number of visits/patient/year were 3.5 (+/−3.4) in the control group and 3.3 (+/−7.56) in the PFM-based action plan group. The high standard deviations indicate that both groups had patients with no emergency visits, and other patients who had a much higher than average number of visits. This pattern is more pronounced in the PFM-based plan group, where the SD was two times greater than the mean. At study end, ER visits per patient per year was 2.3 in the control group and 0.22 in the PFM-based plan group. The percent of patients who had any ER visits was 40 percent (n=19) in the control group and 11 percent (n=5) in the PFM-based plan group; with 5.7 and 2 visits per patient per year, respectively. However, it is not possible to determine the change in the number of patients who had ER visits, as the baseline number was not reported.
It is important to appreciate that the Cowie, Revitt, Underwood et al. (1997) study does not compare change from baseline among groups, or incorporate baseline values as covariates in the analysis. The results reported are strictly a postintervention comparison among groups; and the necessary data to perform a comparison of change among groups is not provided. Moreover, any comparison of pre- and postintervention values is subject to the limitation that all data were collected by patient self-report. Data collection was by mail questionnaire and telephone interview without verification from patient records. Baseline data are from recall of a 1-year period, and are, thus, less reliable than the study data, collected contemporaneously at 3-month intervals.
Nonetheless, based on qualitative examination of the reported data, the advantage Cowie, Revitt, Underwood et al. (1997) reported for the peak flow action plan group is unlikely to disappear if a comparison of change between groups were performed. However, the results might differ in two ways. First, the magnitude of difference between groups might be smaller than the present analysis suggests. Second, the effect might be limited to a small group of patients with very high frequency of ER use. Moreover, it is possible that the advantage observed in the peak flow action plan group is related to overrepresentation of patients with high use in that study group. This is suggested by the high mean and SD for emergency visits per patient per year at baseline, 3.3 (+/−7.56) vs. 3.5 (+/−3.40) in the no-action plan group. Finally, the use of data derived solely from patient recall without corroboration by medical records also decreases confidence in the results of this study.
Two trials enrolling a total of 185 patients addressed the independent effect of a written action plan, when added to peak flow self-monitoring (Ignacio-Garcia and Gonzalez-Santos, 1995; Charlton, Antoniou, Atkinson et al., 1994). The Charlton study (Charlton, Antoniou, Atkinson et al., 1994) was a population of children aged 16 years or younger, with mean age 6.2 years.
Ignacio-Garcia and Gonzalez-Santos (1995) reported significantly better outcomes for the action plan group as compared to the no-action-plan group for the mean number of office visits (4.51 vs. 1.51, p<0.001), ER visits (1.91 vs. 0.65, p<0.05), and missed days of work (20 vs. 4.92, p<0.008). This study also reported fewer hospitalizations for the action plan group, but the difference did not reach statistical significance (5 vs. 0, p=NS).
Charlton, Antoniou, Atkinson et al. (1994) reported no significant differences between the action plan and no-action plan group on the median number of office visits (2 vs. 2.3, p=NS), hospitalizations (1 vs. 5, p=NS), and days of missed school (4.7 vs. 2.1, p=NS). Charlton, Antoniou, Atkinson et al. (1994) did not report on ER visits.
Ignacio-Garcia and Gonzalez-Santos (1995) reported significant differences in the number of nights with symptoms (16.45 vs. 37.94, p<0.001) and symptom score outcomes were reported only by Charlton, Antoniou, Atkinson et al. (1994), with no significant differences found between the action plan and no-action-plan groups for daytime (0.26 vs. 0.22, p=NS) or nighttime (0.15 vs. 0.25, p=NS) symptom scores. Charlton, Antoniou, Atkinson et al. (1994) did report a significant difference favoring the PFM-action plan group on the activity restriction score (0.13 vs. 0.06, p<0.05).
Both studies reported on use of beta-agonists and oral steroids, with neither study reporting significant group differences in these outcome measures. Oral corticosteroid use (927 vs. 1,350 total mg) and total number of beta-2 agonist inhalations (106 vs. 153) was lower in the PFM-based action plan group in Ignacio-Garcia and Gonzalez-Santos (1995). But Charlton, Antoniou, Atkinson et al. (1994) reported higher use in the PFM-based arm than the control arm for oral corticosteroids (2.0 vs, 0 days used/patient per year) and beta-2 agonists puffs per day (1.9 vs. 1.7 median).
Lung function outcomes were only reported by Ignacio-Garcia and Gonzalez-Santos (1995). There was significantly greater improvement in lung function outcomes for the action plan group as compared to the no-action-plan group on FEV1 percent predicted (69.03 → 80.45 percent vs. 65.34 → 65.48 percent, p<0.004), and on PEF (370 → 401 vs. 316 → 321, p<0.003).
Two studies compared peak flow monitoring with and without a written action plan, with one reporting significant differences favoring the PFM action plan. Ignacio-Garcia and Gonzalez-Santos (1995) reported statistically significant differences favoring the written action plan group for office visits, ER visits, symptoms, and FEV1. The only significant difference reported by Charlton, Antoniou, Atkinson et al. (1994) was on one symptom subscale, with no other outcome measures showing significant differences between groups.
Although the results of Ignacio-Garcia and Gonzalez-Santos (1995) appear to strongly favor PFM monitoring, there are potential sources of bias that could lead to overestimation of the treatment effect. One concern is the high level of involvement of the study physicians in all phases of patient assessment and treatment. "One physician, who was aware of the group to which each patient had been assigned, was responsible for the assessment of all patients' conditions and modifications of treatment in the followup group" (Ignacio-Garcia and Gonzalez-Santos, 1995).
A second concern is the high rate (25 percent) of patients withdrawn after randomization to the study. Of 94 patients randomized, 9 patients in the control group and 15 in the experimental group completed the initial assessment but were dropped, leaving a study population of 35 patients per arm. Sixteen of these patients, 5 patients in the control group and 11 in the treatment group, were excluded at the time of 3-month assessment due to noncompliance with PEF monitoring, prescribed medications, or proper inhalation technique. If, for example, the treatment group was more intensively screened for noncompliant patients, the potential for treatment success could be improved. Results were not reported by intent to treat analysis and the possibility that selective withdrawal from the study arms introduced bias cannot be ruled out.
In addition, the patients remaining in the treatment group had slightly better baseline characteristics, although the differences were not statistically significant. In comparison, the control group was slightly older than the treatment group (42 vs. 40.9 years, respectively) with longer duration of asthma (13.4 vs. 10.4 years, respectively), lower baseline percent predicted FEV1 (65 percent vs. 69 percent, respectively), somewhat more smokers and chronic bronchitis (14 percent and 17 percent vs. 8 percent and 11 percent, respectively), but also more nonsmokers (63 percent vs. 54 percent, respectively).
Finally, Ignacio-Garcia and Gonzalez-Santos (1995) report improvement in lung function (FEV1 11.4 percent predicted) in the treatment group that is notably larger than observed in the other included studies, but there is no obvious explanation for this. Ignacio-Garcia and Gonzalez-Santos (1995) is the only study to find a significant between-group difference in final FEV1 or PEF. Turner, Taylor, Bennett et al. (1998) reported the next largest improvement in FEV1, 7.4 percent predicted in the symptom-based plan group. But decline in FEV1 was observed in the PFM-monitoring arms of the Jones, Mulee, Middleton et al. (1995) (−3.9 percent predicted) and GRASSIC (Drummond, Abdalla, Beattie et al., 1994) (−2.7 percent predicted) trials. Ayres, Campbell, and Follows (1996) found an increase of 0.2 L in the control group and no change in the PFM-plan group. Also of interest is that Ignacio-Garcia and Gonzalez-Santos (1995) reported that lung function measurements initially increased in both groups (approximately FEV1 5 percent predicted), then declined in the control group by the 3-month visit, while continuing to rise in the treatment group. However, Ignacio-Garcia and Gonzalez-Santos (1995) do not discuss possible explanations for the rise and subsequent decline to baseline in the control group. In addition, it is not possible to verify from the relevant table whether values from all patients in the study are reported at each time point.
In summary, despite the apparently strong findings in favor of the PFM action plan, confidence in the results of the Ignacio-Garcia and Gonzalez-Santos (1995) study is diminished by three concerns. The first is that the same physician, who was not blinded to treatment assignment, was responsible for educating, treating, and assessing the outcomes of the patients in this study. The second is the high number of patients excluded from analysis. The third is the exceptionally large improvement in FEV1 in the treatment arm compared to other studies, which is not adequately addressed in the discussion section of the paper.
The available evidence is insufficient to demonstrate that asthma outcomes are improved when a written asthma action plan is added to medical management. Two trials reported statistically significant and striking reductions in ER utilization with use of a PFM-based action plan. However, both trials have serious flaws that diminish our confidence in the results. Five additional trials, including a community study of 569 patients, found no significant differences. But these studies are not adequately powered to demonstrate that there is no benefit from a written action plan.
Four studies enrolling a total of 393 patients compared symptom-based written action plans to peak-flow meter-based action plans.
Utilization measures were the most commonly reported outcomes among these studies. In total, eight comparisons of utilization measures were made among these four studies. Three studies reported on number of ER visits. Cowie, Revitt, Underwood et al. (1997) reported a striking reduction in total ER visits for the peak-flow meter group as compared to the symptom group (5 vs. 45, p<0.002); 5 visits among 5 patients compared to 45 visits among 14 patients. There was no significant difference in total ER visits reported by Turner, Taylor, Bennett et al. (1998) (6 vs. 2, p=NS) and no difference in number of ER visits/patient reported by Cote, Cartier, Robichaud et al. (1997) (0.7 vs. 0.7, p=NS).
In the two studies that reported baseline ER use in the 12 months preceding the trial (Cowie, Revitt, Underwood et al., 1997; Cote, Cartier, Robichaud et al., 1997), Cowie, Revitt, Underwood et al. (1997) reported a higher rate (3.1 per person vs. 2.2 per person). The baseline data in Cote, Cartier, Robichaud et al. (1997) might be more reliable as they were collected from a patient interview and medical records, while Cowie, Revitt, Underwood et al. (1997) used patient interview only.
All studies but Charlton, Charlton, Broomfield et al. (1990) reported on hospitalization; no significant differences were found. Compared to the symptom-based plan, hospitalizations in the PFM plan were 1 vs. 0 (Turner, Taylor, Bennett et al., 1998); 2 vs. 2 (Cowie, Revitt, Underwood et al., 1997); and 0.09 vs. 0.04 per patient (Cote, Cartier, Robichaud et al., 1997). Charlton and Turner, Taylor, Bennett et al. (1998) reported on office visits, and found no significant group differences in office visits: 0.53 vs. 0 and12. vs. 17.
Turner, Taylor, Bennett et al. (1998) reported on the use of beta-agonists and three studies reported the use of oral steroids (Turner, Taylor, Bennett et al., 1998; Charlton, Charlton, Broomfield et al., 1990; Cote, Cartier, Robichaud et al., 1997). No differences were statistically significant, and findings did not consistently favor one arm over the other. For oral corticosteroid use, the results for PFM-plan arm compared to symptom plan were: 6 vs. 3 patients treated (Turner, Taylor, Bennett et al., 1998); 12 vs. 47 percent treated (Charlton, Charlton, Broomfield et al., 1990); and 0.9 vs. 0.7 courses per patient (Cote, Cartier, Robichaud et al., 1997).
Symptom score outcomes were reported by one study (Turner, Taylor, Bennett et al., 1998) and symptom frequencies were reported by one study (Cowie, Revitt, Underwood et al., 1997), with no statistically significant group differences found in either case. Turner, Taylor, Bennett et al. (1998) reported 8 vs. 9 and Cote, Cartier, Robichaud et al. (1997) reported 2.9 vs. 2.2 missed work or school days, but neither finding was statistically significant.
Lung function outcomes were reported by only one of the four studies (Turner, Taylor, Bennett et al., 1998), with no group differences found in percent predicted FEV1 or bronchial hyperresponsiveness. Turner, Taylor, Bennett et al. (1998) observed a slight decline in FEV1 in both the PFM and symptom plan groups between visit six and seven, which was the final visit (−4.5 vs. 2.3 percent predicted).
Three of four trials found no significant difference in any outcome measure between a written action plan based on symptoms and a comparable written action plan based on peak flow monitoring. Two of these trials were three-arm studies that compared no written action plan to a symptom-based written action plan and to a peak-flow-monitor-based written action plan. Cote, Cartier, Robichaud et al. (1997) found no significant outcome differences among the three groups. However, Cowie, Revitt, Underwood et al. (1997) reported a statistically significant and striking difference in total ER visits for the peak-flow-meter-based action plan group as compared to the either the symptom-group-based action plan group or the no-action-plan group.
The limitations of the Cowie, Revitt, Underwood et al. (1997) study were discussed in detail in the main body of the report. Here we comment only on the comparison of the symptom-based and PFM action plan. The favorable results reported for the PFM-plan group may be attributable to improvement in a small number of patients who had very high ER utilization. At baseline the mean number of visits per patient per year were 2.6 (+/−4.53) in the symptom group and 3.3 (+/−7.56) in PFM-based action plan group. The large SDs indicate that both groups had patients with no emergency visits, and other patients who had a higher than average number of visits. For both groups, the SD was about 2 times greater than the mean; however the PFM-plan arm appears to include patients with an even higher frequency of ER use than does the symptom-plan arm.
In contrast to Cowie, Revitt, Underwood et al. (1997), Cote, Cartier, Robichaud et al. (1997) conducted a similar three-arm comparison in a more rigorous fashion. All patients, including those in the control arm, participated in a 2-6 week run-in period where medication use was optimized. Data were collected for all patients by questionnaire and review of medical charts. The study followup period was 1 year, as compared to 6 months in the Cowie, Revitt, Underwood et al. (1997) study. Cote, Cartier, Robichaud et al. (1997) compared change in asthma morbidity from baseline, while Cowie, Revitt, Underwood et al. (1997) only reported a postintervention comparison between groups.
Cote, Cartier, Robichaud et al. (1997) found no statistically significant difference among groups for change from baseline in hospitalizations (p=0.6), ER visits (p=0.5), oral corticosteroid use (p=0.2), or days lost from work or school (p=0.6). However, all three groups had a significant improvement in asthma morbidity compared to the year prior to study entry. Cote, Cartier, Robichaud et al. (1997) also analyzed changes in morbidity for patients (n=100) who had a hospital admission or ER visit in the prior year compared with other study patients (n=49). The patients with a history of hospitalization or emergency visit did not have a greater decrease in morbidity (p=0.5).
The available evidence does not permit conclusions as to whether the use of a written action plan based on peak flow monitoring improves outcomes compared to a written action plan based on symptoms.
The results of this systematic review should be compared with two other analyses on this subject. The first is a systematic review performed by the Cochrane Collaboration (Gibson, Coughlan, Wilson et al., 2000b). The Cochrane review was largely drawn from the same evidence base that was used for this present evidence review, but was less restrictive in excluding multimodal interventions that could confound the comparison of a written action plan to no written action plan. The second is a case control study by Lieu and colleagues that assessed self-management practices associated with reduced risk of hospitalization or ER visit in pediatric asthma patients (Lieu, Quesenberry Jr, Capra et al., 1997). This present systematic evidence review was restricted to randomized controlled trials, which are the most rigorous design for assessing the effects of an intervention. In contrast, case control studies can only observe associations. But case control studies permit accrual of large numbers of subjects with lower costs and shorter time frames. Such studies can be helpful where large populations are necessary in order to observe infrequent events, as is the case with the asthma utilization outcomes addressed in this chapter.
The Cochrane review compared self-management education programs to regular review of asthma care by a physician or nurse practitioner, and included a total of 24 trials with 30 self-management interventions. Among these 30 interventions, those that included a written action plan (n=17) were compared with those that did not include a written action plan (n=13). Overall, the pooled analysis showed reduced rates of hospitalization (OR=0.58, 95 percent CI 0.38-0.88) and ER visits (OR=0.71, 95 percent CI 0.57-0.90) with self-management education compared to written review. Programs with a written action plan were associated with a greater reduction in hospitalizations as compared to programs without a written action plan (OR=0.35, 95 percent CI 0.18-0.68) and a greater reduction in ER visits (OR=0.55, 95 percent CI 0.39-0.77).
The differences in the conclusions of this systematic review likely arise from the different study selection process. Study selection focused on trials that isolated the effect of a written action plan apart from other components of a self-management intervention, while the Cochrane review focused on self-management interventions versus regular review. As a result, the articles in this systematic review allow a clearer comparison of written action plans versus no written action plans in a smaller set of studies. For example, trials were excluded in which optimization of asthma medications was a component of the treatment intervention, but was not provided to the control group. The Cochrane review allowed studies that in the present evidence review were judged to include intervention components that might confound the independent effect of a written asthma plan. It is possible that the presence of a written action plan is a marker for a more intensive intervention in general, and that the beneficial effect found in the Cochrane review results from components other than the written action plan.
The Cochrane review also compared outcomes of a PFM-based action plan versus a symptom-based action plan. For this comparison, the Cochrane selection process was similar to the present evidence review, resulting in the same four articles used in this systematic review (Cote, Cartier, Robichaud et al., 1997; Cowie, Revitt, Underwood et al., 1997; Charlton, Turner, Taylor, Bennett et al., 1998). For three of these studies, the pooled odds ratio for the number of patients with ER visits result was not statistically significant (OR=0.87, 95 percent CI 0.49, 1.54). However, the finding of an odds ratio favoring a PFM-based action plan was driven solely by the Cowie, Revitt, Underwood et al. (1997) study, which, while significant, had a wide confidence interval (OR=0.30, 95 percent CI 0.11, 0.81). The Cochrane meta-analysis was based on total patients in the study with ER visits, rather than total number of ER visits. While this is a more conservative measure of the Cowie, Revitt, Underwood et al. (1997) results, it permits a more robust pooled analysis of the findings of the group of studies.
Lieu and colleagues (Lieu, Quesenberry Jr, Capra et al., 1997) conducted a case control study of children age 14 or under who were enrolled in the Kaiser Permanente regional health maintenance organization. Cases were 508 children who had been hospitalized or visited the ER for asthma treatment during the study period. Controls were 990 children with asthma who had not been hospitalized or visited the ER during the study period. Cases and controls were matched on age, gender, and number of asthma-related hospitalizations in the past 24 months. Data on asthma management practices was collected from chart review, telephone interviews with parents, and computerized databases, including pharmacy databases.
Multivariate regression analyses were conducted for patient characteristics and asthma management practices associated with hospitalization or ER visit. Cases with hospitalization were less likely than controls (44 percent vs. 51 percent) to have a written asthma management plan and to report washing bedding in hot water twice monthly (74 percent vs. 56 percent). The multivariate regression model examined numerous patient characteristics (e.g., asthma severity, race, income, parents' education) and potential predictors of ER visits. Potential predictors included asthma education, exposure to smoking, day care attendance, use of a PFM, treatment by an asthma specialist, as well as other asthma management practices. The strongest associations between not having a hospitalization or ER visit were: (1) having a written asthma management plan; (2) washing bedding twice monthly in hot water; and (3) starting or increasing medications at onset of cold or flu.
Having an asthma management plan was associated with reduced odds of hospitalization (OR=0.54, 95 percent CI 0.30, 0.99) and ER visit (OR=0.45, 95 percent CI 0.27, 0.76). Causal inferences cannot be made from this data. This case control study does not test the effectiveness of a written asthma management plan. For example, some parents may confuse hospital discharge instructions with an asthma management plan. Most importantly, it is plausible that having a written asthma management plan, or frequent washing of bedding, is actually a marker of high parental motivation to comply with medications and to control asthma triggers.
Thus, the Lieu study (Lieu, Quesenberry Jr, Capra et al., 1997) supplements the randomized controlled trials included in this systematic review with data from a much larger and targeted population of patients who have been hospitalized or visited the ER for asthma. However, while suggestive, the Lieu study cannot, by its design, demonstrate that written asthma management plans are an effective intervention for reducing severe asthma-related morbidity. If the Lieu finding is actually a marker for other asthma health-related behaviors, implementing a program to disseminate written asthma management plans will not in itself improve the outcomes of asthma treatment.
A large body of literature on self-management interventions in asthma is available and was reviewed for this report. From this literature, randomized controlled trials were selected that contained specific comparisons relevant to this key question and that were largely free of contamination by interventions that were not directly relevant to the key questions. Many articles were excluded due to the presence of multimodal interventions in the treatment group, particularly intensive patient education or optimization of medications, which were likely to confound results.
Nine randomized controlled trials, enrolling a total of 1,501 patients, met the study selection criteria for this key question. Two of these trials included three arms; medical management alone, PFM-based written action plan, and symptom-based written action plan group. This resulted in 11 comparisons among the 9 studies. Seven trials (n=1,079) compared medical management with and without a written action plan; all used a PFM-based plan. The two types of written action plan, PFM-based and symptom-based, were compared in four trials (n=393).
Of the nine trials reviewed above, seven reported no significant differences in any measure of utilization, symptoms, or lung function. This includes the largest (n=569) of these trials, the GRASSIC trial (Drummond, Abdalla, Beattie et al., 1994). However, as a group, the included trials are underpowered to detect differences in utilization outcomes such as hospitalization and ER visits, which are events that occur infrequently. Two trials reported statistically significant and striking reductions in ER utilization with use of a PFM-based action plan. However, both trials have serious flaws that diminish confidence in the results.
The available evidence does not demonstrate that written asthma action plans improve outcomes. Nor does this evidence refute the hypothesis that use of a written asthma plan is beneficial. If there is benefit in a written asthma action plan, it is most likely to be found in a population with severe or poorly controlled asthma leading to high utilization of in-hospital and ER treatment. Both trials reporting benefit used a peak-flow meter action plan, but neither provides a rigorous comparison with a symptom-based plan.
The overriding priority is to develop a national research agenda for long-term studies to improve the effectiveness of asthma management. Short-term drug efficacy studies are overrepresented in the present literature. It is imperative to develop an evidence base that supports clinical decision-making on the intensity of treatment, optimization of medication regimens, and utility of disease management interventions for various asthma populations.
The dearth of long-term effectiveness studies compared to short-term drug efficacy studies is demonstrated by the evidence base available for this systematic review. Twenty-eight trials reporting on over 7,000 patients were identified to show the efficacy of adding long-term beta-2 agonists to ICS, when used over periods of 6 weeks to 1 year. In contrast, for the question of whether early initiation of long-term controller therapy prevents disease progression in patients with mild to moderate asthma, a mere four trials reporting on 475 patients over approximately 3 years were available when this project began. Moreover, these trials were not adequately designed to answer the question of interest, leaving virtually no evidence on which to base a clinical decision of profound concern.
As this systematic review was nearing completion, the results of the National Institutes of Health funded CAMP trial were published, offering the most robust evidence to date on whether chronic use of ICS prevents an irreversible long-term decline in lung function among mild-moderate asthmatics. However, several relevant dimensions of this question have yet to be addressed, including the proper timing for the initiation of ICS, the consequences for changes in lung function over a lifetime, and the effect of treatment in subpopulations of asthmatics that may have variable outcomes. There are well-known difficulties in conducting randomized controlled trials in large populations over the necessarily long time periods, primarily due to resource constraints. Careful consideration should be given to various epidemiological and intervention approaches so that studies that are both rigorous and feasible can be conducted. The Framingham studies of cardiovascular disease are an example that might serve as a model for such an undertaking.
Comparative studies of the relative effectiveness, cost-effectiveness, and patient utilities of alternative management strategies for various asthma populations are needed. A portfolio of study questions can be prioritized to support the syst