Appel L, Robinson K, Guallar E. Utility of Blood Pressure Monitoring Outside of the Clinic Setting. Evidence Report/Technology Assessment No. 63 (Prepared by the Johns Hopkins Evidence-based Practice Center under Contract No 290-97-006). AHRQ Publication No. 03-E004. Rockville, MD: Agency for Healthcare Research and Quality. November 2002.
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.
| Carolyn M. Clancy, M.D. | Robert Graham, M.D. |
| Acting 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. |
Ambulatory BP (ABP) and self-measured BP (SMBP) monitoring are two techniques that record frequent BP outside of the clinic setting. The overall objective of this report was to summarize evidence on the clinical utility of ABP and SMBP monitoring.
Electronic searches were completed of MEDLINE®, Cochrane Collaboration CENTRAL Register of Controlled Trials, and HealthSTAR. Hand searching was completed of key journals, conference proceedings and references lists. Electronic searching was completed to March 2001, and hand searching was completed to May 2001.
Articles were included in this evidence synthesis if they were English-language reports of original data that addressed one of the specific research questions in nonpregnant adults.
Eighteen studies compared clinic BP, SMBP, and/or ABP. For both systolic and diastolic BP, clinic measurements exceeded SMBP and ABP. Few studies compared SMBP and ABP. Sixteen studies determined the prevalence of white coat hypertension (WCH). Overall, WCH prevalence was approximately 20 percent among hypertensives but varied considerably by definition. Few studies assessed the reproducibility of WCH (two studies) or the reproducibility of differences between clinic BP and either ABP (one study). In cross-sectional studies of BP with left ventricular mass and/or albuminuria (25 studies), ABP levels were directly associated with both measurements; also, left ventricular mass was less in individuals with WCH than in those with sustained hypertension. Ten prospective studies assessed the relationship of ABP with subsequent clinical outcomes. In each study, at least one dimension of ABP predicted outcomes. WCH predicted a reduced risk of CVD events compared to sustained hypertension. However, data were inadequate to compare the risk associated with WCH to the risk associated with normotension. A nondipping or inverse dipping pattern predicted an increased risk of clinical outcomes. The literature was insufficient to determine whether absolute SMBP levels or WCH based on SMBP was associated with left ventricular mass or proteinuria (just one study) or whether SMBP measurements predicted subsequent CVD (just one study). In both cross-sectional and prospective studies, the poor or uncertain quality of clinic measurements precluded a satisfactory comparison of SMBP and ABP with clinic BP. Twelve trials assessed whether use of SMBP had an impact on BP control. In half of these studies, including two trials that tested contemporary devices, use of SMBP was associated with reduced BP. The availability of just two ABP trials limited inferences about the utility of ABP to guide BP management. In general, few studies reported enrollment of African-Americans. Studies infrequently reported results stratified by gender. The only notable subgroup finding was a higher prevalence of WCH in women than men.
In cross-sectional studies, ABP levels and ABP patterns were associated with BP-related target organ damage. Likewise, in prospective studies, higher ABP, sustained BP, and a nondipping ABP pattern were associated with an increased risk of subsequent CVD events. Few studies examined corresponding relationships for SMBP. An inadequate number of clinic BP measurements, as well as the poor or uncertain quality of these measurements, precluded satisfactory comparisons of risk prediction based on ABP or SMBP with risk prediction based on clinic BP. In aggregate, these findings provide some evidence that ABP monitoring is useful in evaluating prognosis. However, evidence was insufficient to determine whether the risks associated with WCH are sufficiently low to consider withholding drug therapy in this large subgroup of hypertensive patients. For SMBP, available evidence suggested that use of SMBP can improve BP control; however, further trials that evaluate contemporary SMBP devices are needed.
Elevated blood pressure (BP), also termed hypertension, is a common, powerful, and independent risk factor for cardiovascular diseases (CVD) and kidney disease. Approximately 25 percent of the adult U.S. population, about 50 million persons, has hypertension, defined as current use of anti-hypertensive medication, a systolic BP >140 mmHg, and/or diastolic BP > 90 mmHg.
In view of the epidemic of high BP and its complications, prevention and control of high BP continues to be a major national health priority. Governments, institutions, health care providers, insurers, private industry, and non-profit organizations have committed substantial resources to prevent and treat hypertension. Still, hypertension control rates have been unsatisfactory.
Measuring BP to diagnose hypertension and to monitor therapy is problematic. Concomitantly, the enormous scope of the BP problem, the high aggregate costs of hypertension care, and the potential for medication side effects have spawned efforts to target therapy more effectively. This entails identifying lower risk individuals who might be candidates for less aggressive therapy and higher risk individuals who should receive more aggressive therapy. Measurement of BP outside of the office or clinic setting by ambulatory BP (ABP) monitoring and self-measured BP (SMBP) monitoring might accomplish these objectives.
BP as recorded in the office or clinic setting is the standard technique recommended for measurement of BP in routine medical care. The standard technique includes use of a mercury sphygmomanometer (or a calibrated aneroid device or validated electronic device) and an appropriate-sized cuff. Prior to measurement, patients should rest quietly in the seated position for several minutes. At each visit, at least two readings should be obtained. Except for those individuals with extremely high BP, the diagnosis of hypertension and adjustments in medication should then be based on the average of readings across two or more visits.
Clinic BP measurements have several limitations, even if they are measured according to established guidelines. First, clinic BP measurements exhibit enormous variability, which hinders accurate classification and which frustrates providers and patients. Another limitation is that BP measured in the clinic may not be a representative estimate of usual BP outside the clinic setting. Commonly, BP rises in the clinic setting, in response to the observer and/or other aspects of the medical environment. The difference between measurements obtained in and outside the clinic setting leads to confusion about the diagnosis of hypertension and the need to start or modify therapy. Unfortunately, there are additional limitations because clinic measurements often do not conform to established guidelines. Specific limitations include lack of observer training, inadequate rest period prior to initial measurement, use of wrong-sized cuffs, rapid deflation of cuff, incorrect position of patients, and awkward position of the observer and/or manometer.
Over the past several years, stationary automated devices and aneroid devices have increasingly replaced mercury sphygmomanometers in the clinic setting. Aneroid devices are inexpensive but still require an individual, typically a health care provider, to manually inflate a cuff and record the appearance and disappearance of Korotkoff sounds. In contrast, fully automated devices require minimal technical skills, that is, only placement of a cuff and initiation of a reading. An additional reason leading to greater use of aneroid and automated devices stems from concerns over mercury toxicity.
SMBP devices include mercury sphygmomanometers, aneroid manometers, semiautomatic devices, and fully automatic electronic devices. Automatic devices measure BP using an oscillometric technique in which systolic and diastolic BP are estimated from the pattern of vibrations in the cuff as it is deflated. Fully automated devices are popular because the patient does not have to inflate the cuff or listen for the appearance and disappearance of Korotkoff sounds. Although numerous, perhaps hundreds, of SMBP devices are on the market, very few have been independently validated.
SMBP devices provide an opportunity to record BP at home, outside of the artificial setting of the medical office or clinic. Ideally, the patient is trained to record BP using a standard technique. Occasionally, physicians may observe the patient recording a BP measurement in the clinic and then perform a cross check of readings. The presentation of SMBP data is extraordinarily variable. Commonly, patients at their own initiative provide written lists of readings to their physicians at office visits. However, recent innovations have greatly enhanced the potential utility of SMBP devices to synthesize and present data. Contemporary SMBP devices have the capacity to store and download readings via phone or computer. Data can then be synthesized and reports can be generated and sent to the patient and/or physician.
SMBP has several potential uses. Repeated measurements, if averaged, should provide a more precise estimate of usual BP than occasional measurements obtained in the clinic. As a substitute for clinic BP, SMBP monitoring could then be used to adjust anti-hypertensive drug therapy and thereby reduce the need for frequent clinic visits and their associated costs and inconvenience. The extent to which physicians, or patients, use SMBP data to adjust medication is unclear. In addition, self-measurement of BP has also been proposed as a means to improve adherence with treatment.
Self-measurement of BP theoretically provides a means to diagnose white coat hypertension (WCH), also termed non-sustained or office hypertension. This pattern refers to an elevation of clinic BP in the hypertensive range but normal or low BP outside the clinic setting. Individuals with WCH may be at comparatively low risk for BP-related complications in comparison to individuals with sustained hypertension. An important issue is whether the risk of WCH exceeds that of nonhypertensives.
ABP monitoring is a noninvasive, fully automated technique in which BP is recorded over an extended period of time, typically 24 hours. The required equipment includes a cuff, a small monitor (attached to a belt), and a tube connecting the monitor to the cuff. Usually, a trained technician places the device on the patient, provides instructions to the patient, and then downloads data from the device when the patient returns. Most ABP devices use an oscillometric technique. Compared to SMBP, relatively few ABP devices are on the market. However, in contrast to SMBP devices, most currently available ABP devices have undergone validation testing, as recommended by the American Association of Medical Instrumentation (AAMI) or the British Hypertension Society (BHS).
During a typical ABP monitoring session, BP is measured every 15 to 30 minutes over a 24-hour period (including both awake and asleep hours). The total number of readings usually varies between 50 and 100. BP data are stored in the monitor and then downloaded into device-specific computer software. The raw data can then be synthesized into a report that provides mean values by hour and period (daytime [awake], nighttime [asleep], and 24-hour BP), both for systolic and diastolic BP. The most common output used in decisionmaking are absolute levels of BP, that is, mean daytime, nighttime, and 24-hour values. Because of the expense of ABP equipment (up to $5,000 for a monitor, cuff set and software), the requirement for technicians, the inconvenience and logistics of placing and removing ABP devices, and, until recently, the lack of reimbursement, it is uncommon for ABP monitoring to be done frequently. However, use of ABP will likely increase as a result of the decision by the Centers for Medicare and Medicaid Services (CMS) to cover ABP in selected settings, namely, the identification of WCH.
In addition to mean absolute levels of ABP, certain ABP patterns may predict BP-related complications. The patterns of greatest interest are white coat hypertension and nondipping BP. Using both daytime and nocturnal ABP, one can identify individuals, termed nondippers, who do not experience the decline in BP that occurs during sleep hours. Usually, nighttime (asleep) BP drops by 10 percent or more from daytime (awake) BP. Research has suggested that individuals with a nondipping pattern (less than 10-percent BP reduction from night to day) may be at increased risk of BP-related complications compared to those with a normal dipping pattern.
Although ABP could be used to monitor therapy, the most common application is diagnostic, that is, to ascertain an individual's usual level of BP outside the clinic setting and thereby identify individuals with WCH. In addition to detection of WCH, ABP devices may be used to identify individuals with a nondipping BP pattern and to evaluate apparent drug resistance, hypotensive symptoms to medications, episodic hypertension, and autonomic dysfunction. Use of ABP monitoring has been controversial. First, few prospective studies have determined whether this technology predicts cardiovascular disease outcomes and whether this technology provides additional information beyond that of routine clinic measurements. Second, insurers have been concerned that health care providers might overutilize ABP. Third, it has been unclear whether SMBP monitoring is a satisfactory and less expensive alternative to ABP monitoring. Accordingly, health insurers have been reluctant to reimburse for ABP monitoring.
The utility of BP monitoring outside of the clinic setting was a topic nominated to the Agency for Healthcare Research and Quality (AHRQ) by a group of experts in BP measurement. In September of 2000, AHRQ awarded a contract to the Johns Hopkins Evidence-based Practice Center (EPC) to prepare an evidence report on this topic. The Johns Hopkins EPC established a team and work plan to develop a report that would identify and synthesize the best available evidence on BP monitoring. One of the first tasks was the identification of an appropriate partner. In December 2000, the National High Blood Pressure Education Program (NHBPEP) of the National Heart, Lung, and Blood Institute (NHLBI) of the National Institutes of Health (NIH) hosted a working meeting. The NHBPEP includes representatives from national professional and voluntary organizations as well as from Federal agencies. Arising from that meeting was an agreement from the NHBPEP Coordinating Committee to partner with the Johns Hopkins EPC on this project.
A core group of five clinically and/or methodologically oriented technical experts advised the EPC team at key points in the project. This group included experts in ABP monitoring, SMBP monitoring, clinic BP measurement, clinical hypertension, and diagnostic test evaluation. These individuals reviewed draft research questions. Also, this core group along with additional experts in BP measurement and hypertension provided early input at an ad hoc meeting convened by the NHBPEP. The target population consisted of nonpregnant adults with BP in the nonhypertensive or hypertensive range. These individuals are candidates for BP monitoring, and many are candidates for anti-hypertensive drug therapy.
After an extensive deliberative process and with input from the technical experts, the following questions were developed:
Comparison of clinic, ambulatory, and SMBP readings:
1a. What is the distribution of the BP differences between clinic, ambulatory, and SMBP readings? If there are differences, are these differences reproducible?
1b. What is the prevalence of WCH as defined by SMBP? Is this pattern reproducible?
1c. What is the prevalence of WCH as defined by ABP measurement? Is this pattern reproducible?
SMBP levels and WCH based on SMBP as related to clinical outcomes:
2a. Is SMBP more or less strongly associated with BP-related target organ damage than clinic BP measurements?
2b. Does SMBP predict subsequent clinical outcomes?
2c. What is the incremental gain in prediction of clinical outcomes from use of self-measurement devices beyond prediction from clinic BP alone?
2d. What is the effect of treatment guided by SMBP in comparison to treatment guided by clinic BP, in terms of:
BP-related target organ damage
symptoms
use of anti-hypertensive drug therapy
BP control
ABP levels and WCH based on ABP as related to clinical outcomes:
3a. Is ambulatory blood pressure more or less strongly associated with BP-related target organ damage than clinic BP measurements?
3b. Does ambulatory blood pressure predict subsequent clinical outcomes?
3c. What is the incremental gain in prediction of clinical outcomes from use of ambulatory devices beyond prediction from clinic BP alone?
3d. What is the effect of treatment guided by ABP in comparison to treatment guided by clinic BP, in terms of:
BP-related target organ damage
symptoms
use of anti-hypertensive drug therapy
BP control
Does the evidence for the above questions vary according to a patient's age, gender, income level, race/ethnicity, and clinical subgroups (e.g., hypertensive/normotensive, diabetic, renal transplant status)?
Searching the literature included identifying reference sources, formulating a search strategy for each source, and executing and documenting each search. A comprehensive search plan was developed that include electronic and hand searching. Several electronic databases were searched and a separate strategy was developed for each. First searched was MEDLINE®, which was accessed through PubMed®. Searches using PubMed® were completed in January 2001 and March 2001. The Cochrane CENTRAL Register of Controlled Trials was searched once (Issue 1, 2001). HealthSTAR was searched in February 2001.
Hand searching for possibly relevant citations took several forms. First, priority journals were identified through an analysis of the frequency of citations per journal in the database of search results as well as through discussions amongst the EPC team. Fifteen specialty and general journals were identified. The January to May 2001 issues of these journals were searched. For the second form of hand searching, a database of reference material, identified through an electronic search for relevant guidelines and reviews, through discussions with experts, and through the article review process, was created in the reference management software, ProCite. A listing of titles and abstracts from this database, the BP References Database, was reviewed by the principal investigator to identify key articles. The reference lists of these articles were then reviewed to identify possibly relevant citations. Finally, proceedings from recent conferences were also reviewed.
Specific inclusion and exclusion criteria were applied at each of three levels of review (two levels of abstract review, then article review). Inclusion criteria became more stringent at each level. The titles and abstracts were reviewed for each article identified. During the abstract review process, emphasis was placed on identifying all articles that may possibly have original data pertinent to the questions. For the first-level abstract review, titles and abstracts for all articles retrieved by the literature search were printed on an abstract form and distributed to two reviewers. Because of the extensive volume of literature, a second level abstract review, at which additional exclusion criteria were applied, was necessary. Citations deemed eligible for full article review based on the initial abstract review were printed onto the second level abstract form and distributed to two reviewers.
The purpose of the article review was to confirm the relevance of each article to the research questions, to determine methodological characteristics pertaining to study quality, and to collect evidence that addressed the research questions. Because of the large number of citations that remained eligible for full article review even after the second level abstract review, additional exclusion criteria were applied at the article review level. The final full list of exclusion criteria differed by question. For instance, for question 1a, a comparison of BP by the different techniques, the criterion of more than 1 day of measurement for clinic BP was added because an average clinic BP based on just 1 day of measurements (typically just one to three readings) is extremely imprecise and could lead to a biased comparison with ABP or SMBP.
Article review forms were developed to collect data in a standardized fashion. This process was complex and time consuming due to the heterogeneity of the literature and the diverse questions being addressed. These forms then guided article review. For each of the articles deemed potentially eligible after second-level abstract review, two reviewers read the article, confirmed eligibility status, abstracted key information, and assessed study quality on several dimensions. Because of heterogeneity in study design, data collection forms and elements differed by research question.
Evidence tables that summarize aspects of study quality, characteristics of the study population, and features of BP measurement were constructed. For most research questions, these summary tables were similar. However, the evidence tables that display study results differed substantially by research question. Qualitative summaries were prepared which synthesized the evidence and included, to a limited extent, a quantitative assessment (for example, the number/percent of studies with significant associations, and occasionally by relevant study characteristics).
A draft version of the report was distributed to the partner, the technical advisory group, and other peer reviewers. All substantive comments were collated, the responses of the EPC team summarized, and edits were made to the report as appropriate.
Key question 1. Comparison of clinic BP, SMBP, and ABP readings.
Question 1a. Distribution of BP differences.
A total of 18 studies addressed the distribution of BP differences. BP levels measured outside the clinic setting differed from those obtained in the clinic. For both systolic and diastolic BP, clinic measurements exceeded SMBP, daytime ABP, nighttime ABP and 24 hour ABP. In the few studies that compared SMBP and ABP, daytime ABP and SMBP appeared similar, while nighttime ABP was consistently lower than SMBP. The literature was insufficient to determine whether these BP differences are reproducible.
Question 1b. Prevalence of WCH based on SMBP.
A total of four studies addressed this issue. Hence, the literature was insufficient to determine the prevalence of WCH by SMBP.
Question 1c. Prevalence of WCH based on ABP.
A total of 16 studies addressed this issue. Prevalence varied by WCH definition and study population. Overall, the prevalence was approximately 20 percent among patients with hypertension. Only two studies addressed the reproducibility of WCH. Hence, the literature was insufficient to determine whether WCH based on ABP is reproducible.
Key question 2. The relationship of SMBP levels and WCH based on SMBP to clinical outcomes.
Question 2a. Associations of SMBP with target organ damage.
Only one study addressed this issue. Hence, the literature was insufficient to determine the associations of absolute SMBP levels or WCH as determined by SMBP with left ventricular mass or proteinuria.
Question 2b. Associations of SMBP with clinical outcomes in prospective studies.
Only one study addressed this issue. Hence, the literature was insufficient to determine whether absolute SMBP levels or WCH based on SMBP predicts subsequent CVD.
Question 2c. Comparison of risk prediction from SMBP and clinic BP.
Only one study addressed this issue. The dearth of studies combined with the poor or uncertain quality of clinic BP measurements precluded an answer to this question.
Question 2d. Effect of treatment guided by SMBP.
Twelve trials addressed this issue, but the evidence was inconsistent. In half of these trials, interventions that included SMBP led to reduced BP. Two trials used contemporary SMBP technology which can store and synthesize SMBP measurements and which can generate BP reports. In both of these trials, the SMBP intervention led to reduced BP.
Key question 3. The relationship of ABP levels and WCH based on ABP to clinical outcomes.
Question 3a. Cross-sectional associations of ABP with target organ damage.
A total of 25 studies addressed these issues. Left ventricular mass and albuminuria were positively associated with ABP.
Question 3b. Associations of ABP with clinical events in prospective studies.
A total of 10 studies addressed this issue. In each study, at least one dimension of ABP predicted subsequent clinical events, primarily CVD. In two of these studies, WCH was associated with a reduced risk of CVD relative to the risk associated with sustained hypertension. No prospective study adequately compared the risk associated with WCH relative to the risk associated with non-hypertension. In four of five studies, a nondipping or inverse dipping pattern predicted an increased risk of adverse events.
Question 3c. Comparison of risk prediction from ABP and clinic BP.
A total of nine prospective studies addressed this issue, but only two studies assessed incremental gain, that is, whether ABP provided additional information that was predictive of risk beyond that of clinic BP. However, the poor or uncertain quality of clinic BP measurements precluded a satisfactory comparison of risk prediction from ABP and clinic BP.
Question 3d. Effect of treatment guided by ABP.
Only two trials addressed this issue. Hence, the literature was insufficient to determine the effects of treatment guided by ABP.
Key question 4. Findings according to subgroups.
The vast majority of studies included both men and women, but few studies reported results separately by gender.
Few studies reported enrollment of African-Americans, and race-stratified data were rarely presented.
The only notable subgroup finding was a higher prevalence of WCH in women than in men.
In summary, ABP levels and ABP patterns were associated with BP-related target organ damage in cross-sectional studies. Likewise, in prospective studies, higher ABP, sustained hypertension, and a nondipping ABP pattern were associated with an increased risk of subsequent CVD events. Few studies examined corresponding relationships for SMBP. An inadequate number of clinic BP measurements, as well as the poor or uncertain quality of clinic BP measurements, precluded satisfactory comparisons of risk prediction based on ABP or SMBP with risk prediction based on clinic BP. In aggregate, these findings provide some support for use of ABP monitoring in evaluating prognosis. However, evidence was insufficient to determine whether the risks associated with WCH are sufficiently low to consider withholding drug therapy in this large subgroup of hypertensive patients. For SMBP, available evidence from several trials suggested that use of SMBP can improve BP control; however, further trials that evaluate contemporary SMBP devices are needed.
The optimal approach to measure BP remains uncertain. In view of the high prevalence of uncontrolled hypertension, the continuing epidemic of BP-related diseases, and the potential for alternative measurement techniques to improve diagnosis and target therapy, there is a need for comparative studies that assess the relative efficacy, feasibility, and costs of ABP, contemporary SMBP technology, and clinic BP. Specific types of research needs are as follows:
Prospective observational studies that include SMBP, ABP, and clinic BP. Specific research questions include:
What is the repeatability of WCH?
What are the risks associated with WCH? In particular, is the risk associated with WCH sufficiently low to justify non-treatment? If yes, in which patients?
Does WCH as assessed by SMBP carry the same risk as WCH as assessed by ABP?
What are the risks associated with nondipping status?
Is nondipping status a surrogate for some other variable that might be measured more easily, that is, without ABP?
What is the incremental gain from use of SMBP or ABP over clinic BP alone?
Clinical trials that test whether contemporary SMBP technology, compared to conventional management by clinic BP, can improve BP control and health outcomes. An additional comparison group might include BP management by ABP. These trials should also compare the aggregate costs of these approaches.
Decision analyses that determine the costs and effects of strategies that integrate clinic BP, SMBP, and ABP.
Synthesis of evidence on BP measurements in clinic setting, including issues related to the accuracy and performance of different devices (mercury, aneroid, automated BP) and different observers (physicians, nurses, technicians).
In future research, clinic BP should be measured appropriately by trained observers using validated equipment; measurements should be obtained at several visits. Also, because of the dearth of large-scale, high-quality studies, there is a clear need for government sponsorship of key studies.
To improve the quality of ABP and SMBP publications, standardized methods should be disseminated to researchers and authors. Also, journals should require standardized approaches for presenting ABP data. For published articles, full copies of protocols should be made available, perhaps on the Web. This is especially important because the intense pressure from editors to shorten manuscripts typically leads to reductions in the methods section.
The full evidence report from which this summary was taken was prepared for the Agency for Healthcare Research and Quality (AHRQ) by the Johns Hopkins Evidence-based Practice Center (EPC), Baltimore, MD, under contract number 290-97-006. It is expected to be available in fall 2002. At that time, printed copies may be obtained free of charge from the AHRQ Publications Clearinghouse by calling 800-358-9295. Requesters should ask for Evidence Report/Technology Assessment No. 63, Utility of Blood Pressure Monitoring Outside of the Clinic Setting. In addition, Internet users will be able to access the report and this summary online through AHRQ's Web site at www.ahrq.gov.
Elevated blood pressure (BP), also termed hypertension, is a common, powerful, and independent risk factor for cardiovascular diseases (CVD) and kidney disease. BP-related CVD include cerebrovascular disease (or stroke), coronary heart disease (CHD), heart failure, and peripheral artery disease. The risk relationships are progressive and graded such that the risk of these diseases rises throughout the range of BP including BP in the non-hypertensive range.1,2
Approximately 25 percent of the adult U.S. population, about 50 million persons, has hypertension, defined as current use of anti-hypertensive medication, a systolic BP >140 mmHg, and/or diastolic BP < 90 mmHg.3 Less than half of adults have optimal BP defined as systolic BP < 120 mmHg and DBP < 80 mmHg. Hypertension disproportionately affects certain subgroups, particularly African-Americans and older-aged persons. With increasing age, the prevalence of hypertension rises such that over 50 percent of U.S. adults ages 60 years and older have hypertension. While hypertension affects both genders, men have a higher prevalence than women at younger ages, but the opposite is true at later ages (> approximately 50 years).
A compelling body of evidence from clinical trials has documented that drug therapy not only lowers BP but also prevents stroke, CHD and heart failure.4,5 A complementary strategy to drug therapy for hypertension is non-pharmacologic, lifestyle therapy. A substantial body of research has documented that lifestyle modification can lower BP and prevent hypertension in non-hypertensive individuals who are not candidates for drug therapy but who nonetheless remain at risk for BP-related complications.6
In view of the epidemic of high BP and its complications, prevention and control of high BP continues to be a major national health priority. Governments, institutions, health care providers, insurers, private industry and non-profit organizations have committed substantial resources to research aimed at prevention and treatment of hypertension. Professional organizations and governmental bodies have developed guidelines to screen, diagnose, prevent and treat hypertension.7 Health insurance companies typically cover the costs of anti-hypertensive care, including, to a variable extent, medication costs. Still, hypertension control rates have been unsatisfactory. In response, performance guidelines have been developed as a means to monitor and improve hypertension control.8
Despite this ongoing and massive effort to prevent BP-related complications, the most appropriate technique to measure BP remains uncertain, both to diagnose hypertension and to monitor therapy. Concomitantly, the enormous scope of the BP problem, the high aggregate costs of hypertension care, and the potential for medication side effects have spawned efforts to target therapy more effectively. Specifically, attention has focused on identification of lower risk individuals who might be candidates for less aggressive therapy and higher risk individuals who should receive more aggressive therapy. Measurement of BP outside of the office or clinic setting has been proposed as an alternative to traditional BP measurements. Ambulatory BP (ABP) monitoring and self-measured BP (SMBP) monitoring are two measurement techniques that can record BP outside of the clinic setting and that might accomplish the above objectives.
BP as recorded in the office or clinic setting is the standard technique recommended for measurement of BP in routine medical care.7 Such measurements have been used in the major observational studies that documented risk relationships between BP and clinical events and in most clinical outcome trials that documented the benefits of anti-hypertensive therapy. Ideally, the observer is trained and then retrained periodically. The standard technique includes use of a mercury sphygmomanometer (or a calibrated aneroid device or validated electronic device) and an appropriate size cuff. Prior to measurement, patients should rest quietly in the seated position for several minutes. At each visit, at least two readings should be obtained. Typically, BP measurements at a given visit are then averaged. Except for those individuals with extremely high BP, the diagnosis of hypertension and adjustments in medication should then be based on the average of readings across two or more visits. Numerous national and international professional organizations have prepared guidelines for measurement of clinic BP.7
Clinic BP measurements have several limitations, even if they are measured according to established guidelines.9 First, clinic BP measurements exhibit enormous variability, which hinders accurate classification and which frustrates providers and patients. Contributing to this variability are short-term variability (within clinic visit), diurnal variability (within the same day), and long-term variability (across an extended period of time, days or weeks). One solution is to measure BP across several visits, spaced several days or weeks apart. Another limitation is that BP measured in the clinic may not be a representative estimate of usual BP outside the clinic setting.10 Commonly, BP rises in the clinic setting, in response to the observer and/or other aspects of the medical environment. An alerting reaction appears to trigger this response. The difference between measurements obtained in and outside the clinic setting leads to confusion over the diagnosis of hypertension and the need to start or modify therapy. The problem is exacerbated by the practical requirement for cutpoints to diagnose and treat hypertension despite the fact that BP is a continuous, unimodal distribution. In the end, because of misclassification, there is potential both for undertreatment of persons with high blood pressure and overtreatment of those with low blood pressure. Unfortunately, there are additional limitations because clinic measurements often do not conform to established guidelines.11 Specific limitations include lack of observer training, inadequate rest period prior to initial measurement, use of inappropriate sized cuffs, rapid deflation of cuff, incorrect position of patients, insufficient number of BP measurements and visits, and awkward position of the observer and/or manometer.
Over the past several years, stationary automated devices and aneroid devices have increasingly replaced mercury sphygmomanometers in the clinic setting. Aneroid devices are inexpensive but still require an individual, typically a health care provider, to manually inflate a cuff and record the appearance and disappearance of Korotkoff sounds. In contrast, fully automated devices require minimal technical skills, that is, only placement of a cuff and initiation of a reading. The convenience of automated readings and the potential to avoid training and retraining of technicians has made automated readings extremely popular. An additional reason leading to greater use of aneroid and automated devices stems from concerns over mercury toxicity.12 Specifically, to reduce the amount of mercury released into the environment and to minimize the risk of accidental mercury exposure, government officials have encouraged health care officials to eliminate mercury from health care settings.
SMBP devices include mercury sphygmomanometers, aneroid manometers, semi-automatic devices, and fully-automatic electronic devices. Automatic devices measure BP using an oscillometric technique in which systolic and diastolic BP are estimated from the pattern of vibrations in the cuff as it is deflated. This technique is quite different from the usual auscultatory technique in which systolic BP is estimated as the point of appearance of Korotkoff sounds and diastolic BP as the point of disappearance. Fully automated devices are popular because the patient does not have to inflate the cuff, listen for the appearance and disappearance of Korotkoff sounds, and read measurements off a column or dial. Hence, these devices appeal to individuals with hearing or visual impairments, or limited dexterity. Although numerous, perhaps, hundreds of SMBP devices are on the market, very few have been independently validated. In a recent review of published validation studies, only 23 devices had undergone validation testing; of these, only five were recommended by the European Society of Hypertension.13
SMBP devices provide an opportunity to record BP during awake hours, outside of the artificial setting of the medical office or clinic. Ideally, the patient is trained to record BP using a standard technique. Occasionally, physicians may observe the patient recording a BP measurement in the clinic and then perform a cross check of readings. While the medical literature has documented that patients can record BP accurately, there have been concerns about the accuracy of readings, the completeness of reports submitted to physicians, and the potential for biased readings based on selective reporting.14
The presentation of SMBP data is extraordinarily variable. Commonly, patients at their own initiative provide written lists of readings to their physicians at office visits. However, recent innovations have greatly enhanced the potential utility of SMBP devices to synthesize and present data. Contemporary SMBP devices have the capacity to store and download readings via phone or computer. Data can then be synthesized from which reports are generated and then transmitted to the patient and/or physician.
SMBP has several potential uses.14 Repeated measurements, if averaged, should provide a more precise estimate of usual BP than occasional measurements obtained in the clinic. As a substitute for clinic BP, SMBP monitoring could then be used to adjust anti-hypertensive drug therapy and thereby reduce the need for frequent clinic visits and their associated costs and inconvenience. The extent to which physicians, or patients, use SMBP data to adjust medication is unclear. Self-measurement of BP has also been proposed as a means to improve adherence with treatment. In addition, self-measurement of BP theoretically provides a means to diagnose 'white coat hypertension (WCH)', also termed 'non-sustained' or 'office' hypertension. This pattern refers to an elevation of clinic BP in the hypertensive range but normal or low BP outside the clinic setting. Individuals with WCH may be at comparatively low risk for BP related complications in comparison to individuals with sustained BP. An important issue is whether the risk of WCH exceeds that of non-hypertensives.10
ABP monitoring is a non-invasive, fully automated technique in which BP is recorded over an extended period of time, typically 24 hours. The required equipment includes a cuff, a small monitor (attached to a belt), and a tube connecting the monitor to the cuff. Usually, a trained technician places the device on the patient, provides instructions to the patient, and then downloads data from the device when the patient returns. Most, but not all, ABP devices use an oscillometric technique. Compared to SMBP, relatively few ABP devices are on the market. However, in contrast to SMBP devices, most currently available ABP devices have undergone validation testing, as recommended by the American Association of Medical Instrumentation (AAMI) or the British Hypertension Society (BHS). In a review of validation studies by O'Brien et al, 24 devices had undergone validation testing and 16 were recommended.13
During a typical ABP monitoring session, BP is measured every 15-30 minutes over a 24 hour period including both awake hours and asleep hours. The total number of readings usually varies between 50 and 100. BP data are stored in the monitor and then downloaded into device-specific computer software. The raw data can then be synthesized into a report that provides mean values by hour and period [daytime (awake), nighttime (asleep), and 24 hour BP], both for systolic and diastolic BP. The most common output used in decision making are absolute levels of BP, that is, mean daytime, nighttime, and 24 hour values. Because of the expense of ABP equipment (up to $5,000 for a monitor, cuff set and software), the requirement for technicians, the inconvenience and logistics of placing and removing ABP devices, and until recently, the lack of reimbursement, it is uncommon for ABP monitoring to be done frequently.
In addition to mean absolute levels of ABP, certain ABP patterns may predict BP-related complications. The patterns of greatest interest are 'white coat hypertension' and 'non-dipping' BP. Using both daytime and nocturnal ABP, one can identify individuals, termed 'non-dippers', who do not experience the decline in BP that occurs during sleep hours. Usually, nighttime (asleep) BP drops by 10 percent or more from daytime (awake) BP. Research has suggested that individuals with a 'non-dipping' pattern (less than 10 percent BP reduction from night to day) may be at increased risk of BP-related complications compared to those with a normal dipping pattern.15
Although ABP could be used to monitor therapy, the most common application is diagnostic, that is, to ascertain an individual's usual level of BP outside the clinic setting and thereby identify individuals with WCH. In addition to detection of WCH, ABP devices may be used to identify individuals with a 'non-dipping' BP pattern and to evaluate apparent drug resistance, hypotensive symptoms to medications, episodic hypertension, and autonomic dysfunction.7 Use of ABP monitoring has been controversial. First, few prospective studies have determined whether this technology predicts cardiovascular disease outcomes and whether this technology provides additional information beyond that provided by routine clinic measurements.16 Second, insurers have been concerned that health care providers might overutilize ABP. Third, it has been unclear whether SMBP monitoring is a satisfactory and less expensive alternative to ABP monitoring. Accordingly, health insurers have been reluctant to reimburse for ABP monitoring. Recently, however, the Centers for Medicare and Medicaid Services has decided to cover use of ABP to diagnose WCH.
This evidence report summarizes and examines the evidence supporting the clinical utility of non-invasive ABP and SMBP monitoring. Although these technologies have been proposed for use in several settings, the focus of this report was the evaluation and management of adults with elevated BP. Patient populations included in this report were non-pregnant adults with BP in the non-hypertensive or hypertensive range.
The utility of blood pressure monitoring outside of the clinic setting was a topic nominated to the Agency for Healthcare Research and Quality (AHRQ) by a group of experts in blood pressure measurement. In September of 2000, the AHRQ awarded a contract to the Johns Hopkins Evidence-based Practice Center (EPC) to prepare an evidence report on this topic. The Johns Hopkins EPC established a team and work plan to develop a report that would identify and synthesize the best available evidence on blood pressure monitoring. One of the first tasks was the identification of an appropriate partner.
In December 2000, the National High Blood Pressure Education Program (NHBPEP) of the National Heart, Lung and Blood Institute (NHLBI) of the National Institutes of Health (NIH) hosted a working meeting. The NHBPEP includes representatives from national professional and voluntary organizations as well as from federal agencies. Arising from that meeting was an agreement from the NHBPEP Coordinating Committee to partner with the Johns Hopkins EPC on this project.
The project consisted of recruiting technical experts, formulating and refining the specific questions, performing a comprehensive literature search, summarizing the state of the literature, constructing evidence tables, and submitting the report for extensive peer review.
Experts were sought who could provide content and/or methodological guidance. The five technical experts were chosen to cover several domains: hypertension management, SMBP, ABP, clinic BP, and evaluation of screening and diagnostic tests. Input was sought from the partner and technical experts through ad hoc correspondence as well as through more formal requests for feedback during the project. Specific requests for feedback were made for key decisions, such as selection and refinement of the questions.
Comprehensive feedback on the draft report was sought from the partner, the technical experts, and other reviewers. Reviewers included members of the NHBPEP Coordinating Committee selected through discussions with the partner. (See appendix A for list of organizations represented by reviewers from which comments were received.)
The search was not limited by age, gender or any other patient characteristic. However, because of the extensive volume of literature, the review did not synthesize evidence for all types of populations. For instance, it was felt that the use of blood pressure monitoring during pregnancy was a distinctive application of these technologies that was beyond the scope of this report. Likewise, articles that focused exclusively on populations of children (less than 20 years of age) were not reviewed.
The original questions provided by AHRQ included several descriptive questions that were more appropriately addressed as background text in Chapter 1. The EPC team refined the remaining questions and requested feedback from the technical experts and from the partner. When the large volume and heterogeneity of the literature became apparent, the EPC team refined the questions further. Listed below are the questions addressed in this report.
Comparison of clinic, ambulatory, and SMBP readings:
1a. What is the distribution of the BP differences between clinic, ambulatory and SMBP readings? If there are differences, are these differences reproducible?
2a. What is the prevalence of WCH as defined by SMBP? Is this pattern reproducible?
3a. What is the prevalence of WCH as defined by ABP measurement? Is this pattern reproducible?
SMBP levels and WCH based on SMBP as related to clinical outcomes:
2a. Is SMBP more or less strongly associated with BP-related target organ damage than clinic BP measurements?
2b. Does SMBP predict subsequent clinical outcomes?
2c. What is the incremental gain in prediction of clinical outcomes from use of self-measurement devices beyond prediction from clinic BP alone?
2d. What is the effect of treatment guided by SMBP in comparison to treatment guided by clinic BP, in terms of:
BP-related target organ damage
symptoms
use of anti-hypertensive drug therapy
BP control
ABP levels and WCH based on ABP as related to clinical outcomes:
3a. Is ambulatory blood pressure more or less strongly associated with BP-related target organ damage than clinic BP measurements?
3b. Does ambulatory blood pressure predict subsequent clinical outcomes?
3c. What is the incremental gain in prediction of clinical outcomes from use of ambulatory devices beyond prediction from clinic BP alone?
3d. What is the effect of treatment guided by ABP in comparison to treatment guided by clinic BP, in terms of:
BP-related target organ damage
symptoms
use of anti-hypertensive drug therapy
BP control
Does the evidence for the above questions vary according to a patient's age, gender, income level, race/ethnicity, and clinical subgroups (e.g., hypertensive/normotensive, diabetic, renal transplant status)?
During its deliberations, the EPC team developed a conceptual framework to assist in the formulation of its research questions. (See Figure 1
Searching the literature included the steps of identifying reference sources, formulating a search strategy for each source, and executing and documenting each search.
A comprehensive search plan was developed that include electronic and hand searching. Several electronic databases were searched.
First searched was MEDLINE®, or MEDlars onLINE, the database of bibliographic citations and author abstracts from over 4,000 current biomedical journals published in the United States and 70 foreign countries. MEDLINE® coverage begins in the mid 1960's. MEDLINE® was accessed through PubMed®, the Internet access to MEDLINE® provided by the National Library of Medicine (NLM). Searches using PubMed were completed in January 2001 and then again, in March 2001 for newly added citations.
The Cochrane CENTRAL Register of Controlled Trials was then searched. This is a database of all clinical trials (primarily randomized controlled trials and controlled clinical trials) identified through the searching efforts of the Cochrane Collaboration. The CENTRAL database includes search results from many electronic databases, including MEDLINE® and EMBASE, as well as results from the hand searching of more than 1,000 journals, for all publication years starting in 1948.17 The CENTRAL database also includes the specialized register of controlled trials developed by the Cochrane Hypertension Collaborative Review Group (CRG). The Hypertension CRG has completed extensive searching of electronic databases and members of this CRG are hand searching a number of key hypertension journals such as American Journal of Hypertension, and the Journal of Clinical Hypertension. The CENTRAL database is made available on The Cochrane Library, which is issued quarterly. Issue 1 of the 2001 of The Cochrane Library was searched.
Internet Grateful Med®, provided as a Web-based service by the NLM, was used to access HealthSTAR. This electronic database combines the former HEALTH (Health Planning and Administration) and HSTAR (Health Service/Technology Assessment Research) databases and includes over 3.1 million citations from 1975 to present. Citations include relevant bibliographic records from MEDLINE® (1975 to present) and unique records from three sources: (1) records emphasizing health care administration selected and indexed by the American Hospital Association; (2) records emphasizing health planning from the National Health Planning Information Center; and (3) records emphasizing health services research, clinical practice guidelines, and health care technology assessment selected and indexed through NLM's National Information Center on Health Services Research and Health Care Technology. HealthSTAR was searched once in February, 2001.
Hand searching for possibly relevant citations took several forms. First, priority journals were identified through an analysis of the frequency of citations per journal in the database of search results as well as through discussions amongst the EPC team. Fifteen specialty and general journals were thus identified. (See Appendix B.) The table of contents of these journals were scanned for possibly relevant citations from January 2001 to May 31, 2001. The exception to this was the Journal of Clinical Hypertension which, in its current form, began publishing in 1999 and was not indexed in MEDLINE® during the completion of searching for this project. The hand search of this journal started with the beginning of its publication in 1999.
For the second form of hand searching, a database of reference material, identified through an electronic search for relevant guidelines and reviews, through discussions with experts, and through the article review process, was created in the reference management software, ProCite. A listing of titles and abstracts from this database, the BP References Database, was reviewed by the principal investigator to identify key articles. The reference lists from these key articles were then examined to identify any additional articles for consideration.
Additionally, the proceedings of the following conferences were hand searched: Leuven Consensus Conference on Blood Pressure Monitoring, 1999; Annual Scientific Session of the American Heart Association Council for High Blood Pressure Research, October 2000; Annual Scientific Session of the American Heart Association, November 2000; Annual Scientific Session of American Heart Association Council on Epidemiology and Prevention, March 2001; Annual Scientific Meeting of the American Society of Hypertension, May 2001.
Search strategies, specific to each database, were designed to maximize sensitivity. Initially, a core strategy for PubMed was developed based on an analysis of the Medical Subject Headings (MeSH) and text words of 47 key articles identified a priori. This strategy was then modified for use on the Cochrane CENTRAL Register of Controlled Trials and in searching HealthSTAR. (See Appendix C.)
The results of the searches of electronic databases were downloaded and, using the duplication check in the bibliographic software ProCite, articles not previously retrieved were included in the Blood Pressure Citations Database. This ProCite database was used to store citations and to track the search results and sources. The results of the abstract review process were also tracked using ProCite.
Specific inclusion and exclusion criteria were applied at each of three levels of review, with criteria becoming more stringent as the process moved from searching, to the review of abstracts and to the review of articles. After identifying a citation, its title and abstract were reviewed, and articles were included or excluded from the article review on this basis.
During the abstract review process, emphasis was placed on identifying all articles that may possibly have original data pertinent to the questions. As previously described, the technical experts were consulted during the development of inclusion and exclusion criteria.
In evaluating titles and abstracts, the following criteria were used, at the first level abstract review, to exclude articles from further consideration.
article does not include ambulatory or self-measured blood pressure
article does not include human data
article not in English
article contains no original data
article included < 20 patients
article was a meeting abstract only (no full article for review)
article does not apply to any of the study questions
A prohibitively large number of citations were deemed eligible for full article review after the initial abstract review. Additional criteria were then applied during a second level abstract review:
article included < 50 patients or article addresses reproducibility and included < 20 patients
article describes cross-sectional/retrospective study, addresses only question #2 or #3, and does not include comparison with clinic measurement
article describes cross-sectional/retrospective study with outcome other than left ventricular mass or proteinuria/albuminuria
article addresses only prevalence of dipping versus non-dipping and no other research questions
article describes clinical trial that does not have longitudinal analysis of clinical outcomes other than blood pressure
For the first level abstract review, titles and abstracts for all articles retrieved by the literature search were printed on an abstract form and distributed to two reviewers. (See Appendix D.) In addition to screening for eligibility, the initial abstract review process was also used to classify the articles by topic. When reviewers agreed that a decision regarding eligibility could not be made because of insufficient information, the full article was retrieved for review.
The results of the abstract review process were entered into the Blood Pressure Citations Database developed in the bibliographic software ProCite. Citations deleted through the abstract review process were tagged with the reason for exclusion. Citations deemed eligible for full article review based on the initial abstract review, were printed onto the second level abstract form (Appendix D) and distributed to two reviewers. For this level of abstract review, when reviewers agreed that there was insufficient information to make a decision regarding eligibility these citations were considered eligible for full article review. As for the first level abstract review, results were tracked in a ProCite database and reasons for exclusion were noted for any citation deemed not eligible for review.
For both levels of abstract review, citations where the reviewers disagreed on eligibility were returned to the reviewers for adjudication.
The purpose of the article review was to confirm relevance of each article to the research questions, to determine methodological characteristics pertaining to study quality, and to collect evidence that addressed the research questions. Where articles described more than one study, reviewers were instructed to complete the eligibility assessment (i.e., comparison to inclusion and exclusion criteria), quality assessment and data abstraction for each study separately. For each question, publications of the same information from the same study were also excluded. These apparent duplicate publications were reviewed on a per case basis. Multiple publications were kept if they reported on different results (i.e., different outcomes). Otherwise, the article with a more comprehensive reporting of the data reviewed.
Because of the large number of citations that remained eligible for full article review even after the second level abstract review, additional exclusion criteria were applied at the article review level. The final full list of exclusion criteria differed by question.
Exclusion criteria applied to all articles during article review:
does not include human data
not in English
no original data
meeting abstract (no full article for review)
article does not apply to any of the research questions
article does not include ambulatory or self-measured blood pressure
article included <50 patients OR addressed reproducibility and included <20 patients
device evaluation was the primary purpose of the study
study population is exclusively pregnant women
study population is exclusively children (<20 years of age)
article addresses research question, but does not present data in an abstractable format
article addresses only the prevalence of dipping versus non-dipping and no other research questions
Additional exclusion criteria for articles addressing question #1:
article provided data for clinic blood pressure AND ambulatory blood pressure, or clinic blood pressure AND self-measured blood pressure but did not include a formal within-person comparison of measurements (e.g., no p-value, standard error, standard deviation, confidence intervals or only correlation coefficient(s) provided)
clinic blood pressure measurement used in analyses was completed on one day only
The criterion of more than one day of measurement for clinic blood pressure was added because an average clinic blood pressure based on just one day of measurements (typically just one to three readings) is extremely imprecise and could lead to a biased comparison with ambulatory or self-measured blood pressure. This criterion was not applied to articles addressing questions 2-4.
For articles addressing questions #2a and #3a, the following specific exclusion criteria were applied:
article described cross-sectional/retrospective study and did not include comparison with clinic measurement
article described cross-sectional study but outcome was not left ventricular mass (by echocardiography) or proteinuria/albuminuria
Several endpoints were considered to compare the ability of clinic, self-measured, and ABP monitoring to assess target organ damage caused by hypertension. Left ventricular mass and protein/albumin excretion were included in the report because they are frequently used in the clinic setting to assess the severity and prognosis of hypertension, they are frequently used in hypertension research studies, and there are standard methods available that may allow for some comparability across studies. Other echocardiographic indices of left ventricular enlargement, such as septal thickness or posterior wall thickness, are not consistently reported, and were not considered in this report. Other markers of target organ damage, such as other echocardiographic determinations of left ventricular function, retinopathy, brain MRI findings, carotid intima-media thickness, were not considered in this report.
Because a relatively small number of articles were expected and the abstraction would be quite different, prospective studies (questions #2b or #3b), studies of reproducibility (question #1 a, b, c) and trials examining the impact of treatment guided by clinic versus that guided by ambulatory (question #3d) or self-measurement (question #2d), were tagged during the initial article review. A separate review was then completed for each of these questions including the following additional or modified exclusion criteria.
For articles addressing reproducibility (#1 a, b, c) the additional or modified exclusion criteria were:
article included < 20 patients
article does not include reproducibility of white-coat hypertension.
An initial review of articles did not identify any articles addressing reproducibility of the differences between clinic, ambulatory and/or self blood pressure measurements (question #1a). A separate review form for this question was, therefore, not developed. However, the review form used for articles addressing reproducibility was designed to identify articles addressing reproducibility of differences for future consideration.
Additional exclusion criteria for prospective or longitudinal studies (question #2b or #3b) was outcome not of interest.
For articles concerning effect of treatment guided by ambulatory or self measured blood pressure (question #2d or #3d), the additional criterion applied was non-random allocation of participants.
Forms were developed to confirm eligibility for full article review, assess study characteristics and to abstract the relevant data to address the study questions. The forms were developed through an iterative process including the review of forms used for previous EPC projects, discussions among team members and experts, and through pilot testing. This process was complex and time consuming due to the heterogeneity of the literature and the diverse questions being addressed.
For the general article review completed initially (for questions #1, #2a, and #3a), three forms were developed and color-coded to aid reviewers and data entry personnel (Appendix E). As necessary, separate forms were created for the three types of studies previously described (i.e., prospective studies (questions #2b or #3b), studies of reproducibility (question #1 a, b, c), and trials examining the impact of treatment guided by clinic versus that guided by self-measured or ambulatory blood pressure measurement (question #3d or #2d)). (See Appendix F).
The first form completed comprised three sections. The first section included the exclusion criteria so that reviewers could confirm the eligibility of the article before proceeding with the full article review. The second section contained a list of each of the study questions allowing reviewers to tag articles by question addressed. This allowed for the identification of articles to be pulled and abstracted separately (e.g., those describing prospective studies). The final section contained questions designed to provide an assessment of study quality. The questions were designed to assess characteristics such as research design and blinding. These questions allowed for the identification of methodological strengths and weaknesses.
The characteristics of the study and baseline information, such as the details concerning the method of BP measurement, were collected on this form.
The specific population characteristics and the results were abstracted using this form. Data were abstracted separately for the whole study population and subgroups by completing multiple forms, as necessary.
For prospective studies, studies concerning reproducibility of white coat hypertension and trials assessing treatment guided by blood pressure measurement, separate forms were developed as necessary. For prospective studies, the same quality assessment and Part I of the data abstraction form were used. Additional results were abstracted directly into specific fields of a spreadsheet. A separate form was developed for articles addressing reproducibility. For trials, a new quality assessment form was developed, the same Part I of the data abstraction was used, and additional data was entered into a spreadsheet. (See Appendix F for separate forms developed for these articles and for the fields of the spreadsheets.)
A serial article review process was employed. In this process, the quality assessment and abstraction forms were completed by the primary reviewer. The secondary reviewer, after reading the article, checked each item on the forms for completeness and accuracy. The reviewer pairs were formed to include personnel with clinical and/or methodological expertise. Reviewers were not masked to the article author, institution, or journal. In most instances, data were directly abstracted from the article. If possible, relevant data were also abstracted from figures. In some instances, data were recalculated to meet the specification of the report (e.g., calculation of relative risks from incidence rates).
During the general article review, articles were tagged as to what question(s) they addressed. This process identified those articles requiring separate review (i.e., use of the question specific review instruments).
All information from the general article review process was entered in a relational database (Blood Pressure Evidence Database) via a web-interface. Data from question specific reviews were entered into the Blood Pressure Evidence Database (where same forms completed) or directly into spreadsheets.
Throughout the project, feedback was sought from the technical experts through ad hoc and formal requests for guidance. A draft of the completed report was sent to the technical experts, as well as to the partner, AHRQ, and other peer reviewers. Substantive comments were entered into a database. Revisions were made to the evidence report, as warranted, and a summary of the comments and their disposition was submitted to AHRQ with the final report.
| Number of Citations | ||||||
|---|---|---|---|---|---|---|
| Source | Search Strategy | Date | Retrieved | Unique (included in abstract review process) | Eligible for Second Level Abstract Review | Eligible for Article Review Process |
| PubMed | PubMed | Jan 11, 2001 | 4,426 | 4,426 | 843 | 529 |
| CENTRAL Issue 1 2001 | CENTRAL | Feb 15, 2001 | 1,382 | 232 | 9 | 6 |
| HealthSTAR | HealthSTAR | Feb 16, 2001 | 34 | 34 | 0 | 0 |
| PubMed | PubMed | Mar 23, 2001 | 162 | 160 | 50 | 33 |
| Handsearch | table of contents of priority journals | to May 31, 2001 | 9 | NA | 6 | 6 |
| Handsearch | reference lists of key reviews | July 20, 2001 | 181 | NA | 29 | 22 |
| TOTAL | 6,194 | 4,852 | 937 | 596 | ||
Of the 6,194 citations retrieved by the search methods, 4,852 were uniquely identified; that is, not previously included in the Blood Pressure Citations database. Of the 4,852 citations, 902 (19 percent) were classified as eligible for second level abstract review. Citations were excluded at this level if they did not address any of the research questions (37 percent), met any exclusion criteria (26 percent) or a combination of the above. Reviewers did not need to agree on what exclusion criterion applied. The most frequent exclusion criterion applied was that the article did not include ABP or SMBP (used by one or both reviewers to delete 1,256 citations). Other major exclusion criteria were a sample size of less than 20 patients (963 citations) and no original data provided (348 citations).
The 902 citations deemed eligible from the first abstract review were imported into a new database and the 35 citations identified by the hand searching efforts were added. Of the 937 citations reviewed at the second level abstract review, 596 (64 percent) were deemed eligible for full article review. As for the first review, the reviewers did not need to agree on a reason for deleting the citation. Of the 341 citations deleted, reviewers agreed that 186 (55 percent) citations included less than 50 patients, that 29 (8 percent) described cross-sectional studies that addressed only question #2 or #3 and did not contain comparison to clinic measurement, that 28 (8 percent) did not address any of the research questions, and that 24 (7 percent) described cross-sectional studies with outcomes other than left ventricular mass or proteinuria/albuminuria. The remainder of the citations were deleted for other reasons or based on a combination of reasons.
From the abstract review process, 596 citations were identified for inclusion in the article review phase. We were unable to retrieve, and, therefore, unable to complete article review of three articles.18-20
Of the 593 articles reviewed, one article described two studies. Each study was assessed and abstracted separately so there were 594 studies for which a review was completed. An initial scan was completed to identify articles with less than 100 patients. These 223 citations were excluded from the general review but were reviewed, as appropriate, for the study questions addressing reproducibility (#1a-c), prediction of clinical outcomes (#2b and #3b - prospective studies) and effect of treatment guided by self or ambulatory blood pressure measurement (#2d and #3d - trials); the minimum sample size for the reproducibility studies was 20, while the minimum sample size for the prospective studies and clinic trials was 50.
| Reason for Exclusion | Number of Articles (percent of excluded) |
|---|---|
| article did not include human data | 0 (0%) |
| article was not in English | 2 (0.8%) |
| article contained no original data | 12 (4.8%) |
| meeting abstract (no full article for review) | 1 (0.4%) |
| article did not apply to any of the research questions | 34 (14%) |
| article did not include ambulatory or self-measured blood pressure | 5 (2%) |
| article had ≤50 patients or addressed reproducibility and had ≤20 patients | 3 (1.2%) |
| device evaluation was the primary purpose of the study | 3 (1.2%) |
| study population was exclusively pregnant women | 18 (7%) |
| study population was exclusively children (< 20 years of age) | 13 (5.2%) |
| article addressed research question but did not present data in abstractable format | 17 (6.7%) |
| article addressed only the prevalence of dipping versus non-dipping and no other research questions | 6 (2.4%) |
| other reasons (e.g., duplicate publication) | 22 (8.8%) |
| Exclusions specific to articles only addressing Question #1 | |
| article provided data for clinic blood pressure AND ambulatory blood pressure, or clinic blood pressure AND self-measured blood pressure but did not include a formal within-person comparison of measurements (e.g. no p-value, standard error, standard deviation, confidence intervals or only correlation coefficient(s) provided) | 34 (14%) |
| clinic blood pressure measurement used in analyses was completed on one day only | 60 (24%) |
| Exclusions specific to articles only addressing Questions #2a and #3a | |
| article described cross-sectional/retrospective study and did not include comparison with clinic measurement | 13 (5%) |
| article described cross-sectional study but outcome was not left ventricular mass (by echocardiography) or proteinuria/albuminuria | 9 (3.6%) |
| 252 | |
The articles determined to be eligible for review were tagged as addressing the following questions: comparison of readings (question #1) 33 studies, association of SMBP with LV mass or proteinuria/albuminuria (question #2a) one study, and association of ABP with LV mass or proteinuria/albuminuria (question #3a) 27 studies.
As part of the general review process articles were tagged if they addressed issues not being covered in this evidence report and if they addressed any of the other questions being reviewed in separate processes. Articles were tagged as addressing the following issues not included in this review: incremental gain of SMBP (question #2c) (0 studies) or ABP (question #3c) (0 studies) over clinic BP, and the association of dippers with left ventricular mass (six studies) or proteinuria/albuminuria (three studies).
Thirteen studies were identified through the general review as addressing reproducibility and an additional 50 studies were identified from the articles with less than 100 patients. Most of the 63 studies were excluded (53 studies (84 percent)) as not applicable to the research question which focused on reproducibility of WCH or reproducibility of the difference between ABP (or SMBP) and clinic BP. The vast majority of these studies focused on reproducibility of ABP, SMBP and/or clinic BP. Two studies each were excluded because the study included exclusively children, contained fewer than 20 patients or addressed the prevalence of dipping only. Finally, one study was excluded because data were not presented in an abstractable format. Two studies were identified as addressing reproducibility of white coat hypertension. One study was determined to address reproducibility of the absolute differences between clinic BP and ABP.
From the general review, five studies were identified as addressing the prediction of clinical outcomes using self measurement of blood pressure, 25 studies were identified as addressing prediction of clinical outcomes using ambulatory blood pressure measurement. An additional 13 studies were tagged as prospective studies addressing the prediction of clinical outcomes from the articles with less than 100 patients. From the total number of studies (43), 27 were excluded. The reasons for exclusion were: article did not address research question (15 studies), duplicate publication (five studies), data not presented in abstractable format (four studies), less than 50 patients (two studies), and no outcome of interest (one study).
From the general review 22 studies were tagged as addressing the effect of treatment guided by SMBP or ABP. An additional seven studies were identified as addressing this issue from the articles with less than 100 patients. From the total number of studies (29), 15 were excluded. The reasons for exclusion were: study not a randomized controlled trial (seven studies), did not address research question (four studies), data not presented in abstractable format (two studies), study population exclusively pregnant women (one study), and study had less than 50 patients (one study).
The identified literature addressing BP measurement outside of the office setting was vast and heterogeneous. Most ABP and SMBP studies have been published in specialty journals, primarily those in the field of hypertension. From the 596 articles that were eligible for review, the following journals published ten or more articles (ordered from highest to lowest number of publications): Journal of Hypertension (71 articles), American Journal of Hypertension (67 articles), Journal of Human Hypertension (51 articles), Hypertension (48 articles), Blood Pressure Monitoring (36 articles), Journal of Hypertension - Supplement (33 articles), American Journal of Cardiology (11 articles), and Clinical/Experimental Hypertension (11 articles). In contrast, publications in general medical journals were relatively uncommon. For example, the Annals of Internal Medicine published just two articles, the Archives of Internal Medicine five articles, and the Journal of the American Medical Association nine articles.
Of these 596 articles, the vast majority of articles (445 articles, 75 percent) were published between 1990 and 1999; 72 articles (12 percent) were published in 2000 or 2001, and another 73 articles (12 percent) between 1980 and 1989. A similar pattern of journal types and of publication years was evident for the articles that were abstracted for this report.
For the majority of the studies, a funding source could not be identified. Approximately 20 percent of studies cited a government source of funding. Of the 89 studies abstracted, 18 percent were completed in the United States, while 54 percent were completed in European countries.
Comparison of clinic, ambulatory, and SMBP readings:
Question #1a. What is the distribution of the BP differences between clinic, ambulatory, and SMBP readings?
A total of 18 studies addressed the distribution of BP differences among clinic BP, ABP, and SMBP and met the inclusion criteria, which included a minimum sample size of 100 and a requirement for at least 2 visits of clinic BP measurements. Among these, six studies compared clinic BP and SMBP,21-26 12 studies compared clinic BP and ABP,22,25,27-36 and 3 studies compared SMBP and ABP.25,37,38 One study compared all three types of BP measurements.25
Two studies reported gender-stratified analyses.28,33 For both men and women, clinic BP exceeded daytime and 24 hour BP, but the differences appeared somewhat greater in women than men. The same pattern was evident for both systolic and diastolic BP.
Only three studies compared SMBP and ABP (Evidence Tables 9 and 10). There were no significant differences between SMBP and daytime ABP for either systolic or diastolic BP. In contrast, for both systolic and diastolic BP, SMBP was substantially greater than nighttime ABP in the one study that reported differences and was also greater than 24 hour BP in two studies.
In summary, for both systolic and diastolic BP, clinic BP measurements exceed SMBP, daytime ABP, nighttime ABP and 24 hour ABP. Few studies compared SMBP and ABP levels.
Question #1b. What is the prevalence of WCH as defined by SMBP?
Question #1c. What is the prevalence of WCH as defined by ABP measurement?
For studies using ABP monitoring as the method for comparison to clinic BP, the prevalence of WCH ranged from 11 percent to 67 percent. The exceptionally high prevalence of WCH seen in the latter study is noteworthy for several reasons.46 The study sample was composed of persons receiving medication for the treatment of hypertension. Thus, the extent to which individual blood pressure medications and/or their dosing schedules influenced the results is unknown. Moreover, the participants in this study were enrolled from a tertiary referral center for management of drug resistant hypertension, a population that may exhibit a higher prevalence of WCH. Excluding the highest and lowest estimates for the prevalence of WCH, the prevalence of WCH ranged from 11.9 to 39 percent. The largest study estimated the prevalence of WCH at 19 percent.47 The study that utilized the greatest number of clinic BP measurements (n=9) for use in comparison to ABP estimated the prevalence of WCH at 23 percent.39 Finally, in each study that presented prevalence estimates by gender, the prevalence of WCH was higher in women compared to men. In one study, the prevalence of WCH was statistically higher in women than in men, but no gender-specific prevalence estimates were provided.45
In summary, the prevalence of WCH is difficult to ascertain due the lack of standard definitions for both clinic and non-clinic blood pressures. Most studies were relatively small and the populations studied were quite heterogeneous. Nevertheless, the prevalence of WCH from the available evidence is estimated to be between 11 and 69 percent. However, the largest study and the study that utilized the greatest number of clinic blood pressure measurements in its analysis, place the estimate closer to approximately 20 percent. A similar range was observed for WCH as determined by SMBP. Finally, in studies that examined prevalence of WCH by gender, women consistently had a higher prevalence of WCH than men.
Question #1a-c. Reproducibility of differences in readings and WCH
The relationship of mean blood pressure levels and WCH as defined by SMBP to clinical events.
Question #2a. Is SMBP more or less strongly associated with BP-related target organ damage than clinic BP measurements?
In summary, only a single study compared SMBP and clinic BP with target organ damage. In this study, SMBP was a better predictor of left ventricular mass than clinic BP. Correlations of albumin excretion with SMBP and clinic BP were similar. Although the study was methodologically sound, the added prognostic information provided by self-measured blood pressure with respect to clinic measurements on target organ damage remains uncertain. No study compared the levels of target organ damage in normotensives, white coat hypertensives, and sustained hypertensives as determined by self-measured blood pressure.
Question #2b. Does SMBP predict subsequent clinical outcomes?
Two articles, both published from the same prospective observational study, addressed the issue of whether SMBP can predict subsequent BP-related events.60,61 In one article, the outcome variables were total mortality and CVD mortality.60 In the other article, fatal and non-fatal stroke was the outcome.61
Neither clinic systolic BP nor clinic diastolic BP was significantly associated with any of the three outcomes in a progressive, dose-response fashion. However, for stroke, the RRs associated with the highest quintile of clinic systolic and diastolic BP were significant. For SMBP, the RR associated with the fifth quintile of diastolic was significant.61 In the original publication, the relationship between systolic SMBP and stroke was non-linear, that is, J-shaped.61 For CVD mortality and for total mortality, systolic SMBP but none of the other BP measurements was significantly associated with these outcomes.60
Neither study explicitly tested whether SMBP was superior to clinic BP for predicting outcomes or whether SMBP provided additional prognostic information (incremental gain) beyond that of clinic BP.
In summary, the published literature is insufficient to provide a definitive answer to this research question. The only cohort study that has assessed whether SMBP can predict outcomes documented a linear, progressive relationship of systolic SMBP with total and CVD mortality but a non-linear, J-shaped relationship with stroke. Neither study reported comparative analyses on risk prediction by SMBP and clinic BP.
Question #2c: What is the incremental gain in prediction of clinical outcomes from use of self-measurement devices beyond prediction from clinic BP alone?
Please see discussion for Question #2b.
Question #2d. What is the effect of treatment guided by SMBP in comparison to treatment guided by clinic BP.
All 12 trials had a parallel group design (eight with two groups, two with three groups, one with four groups, and one with five groups). In nine of the trials, SMBP was the only component of the active intervention arm, except for BP reports to patients and/or physicians in three studies. Other dimensions of the active intervention groups were an activated significant other (trained and encouraged to measure in BP) in one trial, telephone evaluation of adherence in one trial, and a multi-component behavioral treatment program in one trial. Two of the 12 trials used telemetry as part of the active intervention program.66,70 One trial used ABP as the outcome variable while all others used clinic BP measurements.70
Initiation and use of medication was reported in three trials. In two trials,62,68 including the one trial in which BP rose, medication use at the end of follow-up was higher in the control group compared to the SMBP group. In one other trial, medication use was similar.69 One trial, that included SMBP as well as telemetric transmission of data and a multi-factorial intervention, documented improved adherence in this group.66 One trial documented that SMBP reduced costs of hypertension care.71
The interpretation of SMBP trial results is complex. First, because SMBP is a diagnostic technology used to assist in BP management, the impact of SMBP is indirect, that is, mediated through changes in BP therapies, both pharmacologic and non-pharmacologic. Hence, an evaluation of SMBP must include an assessment of the approach to therapy in both active and control groups. Unfortunately, none of the papers explicitly stated whether and how SMBP guided therapy. Second, SMBP can be used to adjust BP medications for two distinct problems, that is, to improve BP control in those with inadequately controlled hypertension or to reduce the intensity of BP therapy in persons with apparently low BP. Hence, the lack of BP reduction from SMBP in some studies may reflect a mixed effect, namely, downward titration of medications in some patients and upward titration of medications in other patients. Third, while all trials used SMBP, many of the trials combined SMBP with other interventions, often as a means to improve adherence with therapy. Fourth, SMBP technology is undergoing rapid advances that should influence its effectiveness, specifically, the development of integrated systems that not only synthesize SMBP readings but also can transmit reports to patients and physicians with feedback including advice on therapy. While such advances should, in general, improve the utility of SMBP, there is the potential for inadvertently recording and synthesizing data from multiple individuals (e.g., spouse).
In summary, interventions that included SMBP improved BP control in six of 12 trials. In view of major design limitations, particularly suboptimal measurement of the outcome variable, it is possible that additional studies would have documented benefits had they used a more satisfactory outcome measurement technique. Few published trials used contemporary technologies that automatically synthesize SMBP data over time and that allow for telemetric transmission of SMBP measurements. Of the two trials that used this technology, both documented reduced BP from intervention that included this technology.
The relationship of mean levels and WCH as defined by ABP measurement to clinical events.
Question #3a. Is ABP more or less strongly associated with BP-related target organ damage than clinic BP measurements?
For each type of BP measurement assessed (clinic, 24 hour, daytime, or nighttime), the correlations of diastolic BP with LV mass index were in general lower than those of systolic BP with LVMI. Twenty four hour diastolic BP correlations with LV mass index were consistently higher than clinic diastolic BP correlations, with the exception of the normotensive group in the study by Schulte et al.93 Also, daytime and nighttime diastolic BP measurements tended to correlate better with LV mass index than clinic diastolic BP, although not as strongly correlated as 24 hour diastolic BP.
Although the correlation of LV mass and protein excretion with BP tended to be larger for ABP (particularly 24 hour and daytime) than for clinic BP, the poor quality of clinic BP determinations in the majority of studies precludes a satisfactory comparison with clinic BP as recommended by guidelines. The impact of WCH, as determined by ambulatory monitoring, on target organ damage was also evaluated. White coat hypertensives had intermediate levels of LV mass between normotensives and sustained hypertensives as determined by ABP. However, normotensives and white coat hypertensives had similar levels of protein excretion, and only sustained hypertensives had clearly elevated values. These studies were also limited by the poor overall quality of clinic BP measurements, and by the lack of adjustment for potential confounders when comparing normotensives, white coat, and sustained hypertensives.
Question #3b. Does ABP predict subsequent clinical outcomes?
A total of 14 articles from 10 prospective observational studies addressed the issue of whether ABP can predict subsequent BP-related events.32,94-106 Of the 10 studies, one study published three articles that covered different aspects of this research question,98-100 two other studies each published two relevant articles,32,95,104,105 and the remaining seven studies published only one article. Unless otherwise stated, this section will report and enumerate by 'study' rather than by 'article'.
All but one study documented the type of ABP device that was used.97 A SpaceLabs device was used in six studies,32,94,95,102,104-106 a Diasys device in one study,96 a Nippon Colin device in two studies,98-100,103 and a Remler device in one study.101 Accordingly, the most common technique to record BP was oscillometric. In six studies, the ABP devices had been validated according to criteria of the BHS or the AAMI.32,94-96,102,104-106 In three other studies, the devices had undergone validation studies prior to widespread use of the BHS or AAMI criteria.98-101,103 In most studies, a fixed time period was used to define 'daytime' and 'nighttime' BP, while in one study,98-100 'awake' and 'asleep' were defined by actual participant reports. The interval between readings ranged from 15 to 30 minutes (4 readings to 2 readings per hour) for daytime BP and from 15 to 60 minutes (4 readings to 1 reading per hour) for nighttime BP.
Limited information is available on the type and number of clinic BP measurements. Four of the ten studies did not provide any information on clinic measurements.94,96,97,106 Of the remaining six studies, four used a mercury device,94,101,102,104,105 one used an automated device,98-100 and one additional study did not mention the type of device.95 In four studies, the type of observer was mentioned; a technician or nurse measured clinic BP in three studies, while a physician measured BP in one study.104,105 Clinic BP was recorded on just one day in three studies98-100,103-105 and on three days in another three studies.32,95,101,102 In these six studies, the total number of BPs contributing to average clinic BP ranged from two to nine. In one study, 'clinic' BP measurements were taken at home by medical personnel.98-100
Evidence Tables 46 and 47 present risk estimates as the relative risk, or hazard ratio, of the outcome by change in BP (a continuous variable, mmHg) or by category of BP. Cutpoints for the categories of BP were conventional cutpoints (e.g., systolic BP of 140 mmHg), convenience values, or values of the BP distribution (e.g., quintiles). For this report, the reference category was the lowest level of BP. Because these studies commonly displayed risk relationships in other formats, relative risk estimates were, in several instances, calculated from data presented in the articles,95,99,101,104,106 including an article in which the reference category was not the lowest BP category.99
As displayed in Evidence Tables 46 and 47, a total of eight prospective studies (nine articles) reported the relationship between absolute levels of systolic ABP and subsequent outcomes,32,94,96,99-103,105 while four studies (five articles) reported corresponding relationships for diastolic ABP.94,99-101,103 For systolic BP, at least one study outcome was significantly related to clinic BP in two of five articles,101,105 to daytime ABP in four of seven articles,32,100-102 to nighttime ABP in four of five studies,32,94,100,103 and to 24 hour ABP in five of six articles.32,96,100,103,105 For diastolic BP, at least one study outcome was significantly related to daytime ABP in two of five articles,100,101 nighttime ABP in two of four articles,100,103 and 24 hour ABP in one of three articles.103 Clinic diastolic BP was significantly associated with outcomes in the anticipated direction in one of five studies101 and in an inverse direction in another study;94 the latter finding may have resulted from the study population, namely, dialysis patients in whom a lower diastolic BP may be related to excess risk. Overall, absolute level of ABP (mean daytime, nighttime or 24 hour BP, systolic or diastolic) predicted outcomes in each of eight studies that examined this issue, while clinic BP predicted outcomes in two of five studies.
| Systolic BP | Diastolic BP | ABP Patterns | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Clinic | Day | Night | 24 Hr | Clinic | Day | Night | 24 Hr | WCH | Dipping | |
| Total mortality | 0/2 | 0/2 | 1/2 | 1/2 | 0/1 | 0/1 | 0/1 | 0/1 | 0 | 2/2 |
| CVD mortality | 0/3 | 1/3 | 2/3 | 1/3 | 1 a /2 | 1/2 | 0/2 | 0/2 | 0 | 1/2 |
| CVD morbidity and mortality | 2/4 | 3/4 | 2/2 | 4/4 | 1/2 | 1/2 | 1/1 | 1/1 | 1/1 | 3/3 |
| Stroke | 0/2 | 2/2 | 2/2 | 2/2 | 0/1 | 1/1 | 1/1 | 0 | 1/1 | 3/3 |
| Cardiac morbidity and mortality | 0/1 | 1/1 | 1/1 | 1/1 | 0 | 0 | 0 | 0 | 1/1 | 0 |
| Dialysis | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1/1 |
Significant inverse association
Nine of 14 articles compared prediction of outcomes by ABP to prediction by clinic BP. Of these nine studies, just two studies32,101 assessed 'incremental gain', that is, whether ABP provided additional information that was predictive of risk beyond that of clinic BP. To assess incremental gain, one study used a residual method to determine whether ABP predicted the residual variance left after regression of outcomes on clinic BP,101 and one presented regression analyses with both clinic BP and ABP in the same model.32 The other seven studies compared prediction by clinic BP and ABP without determining whether ABP provided additional information beyond clinic; of these, six studies used stepwise regression techniques97,99,100,102,103,105 and one used discriminant function analyses.96 ABP was a better predictor of outcomes than clinic BP in each of the seven studies that compared prediction of outcomes by clinic BP and ABP. In the two other studies, ABP provided incremental gain in information beyond that of clinic BP.
In summary, ABP predicted BP-related clinical outcomes. In each of ten prospective studies (14 articles), at least one dimension of ABP predicted one or more clinical outcomes. Absolute ABP levels (mean daytime, nighttime or 24 hour BP, systolic or diastolic) predicted outcomes in each of eight studies, WCH predicted a reduced risk of outcomes compared to sustained hypertension in each of two studies, and non-dipping or inverse dipping predicted an increased risk in four of five studies.
However, available data were insufficient to compare prediction of outcomes by ABP and clinic BP. Absolute clinic BP levels predicted outcomes in two studies in the anticipated direction, in one study in an unanticipated opposite direction, and did not predict outcomes in two other studies; five studies did not report whether clinic BP predicted outcomes. Although ABP was a better predictor of outcomes than clinic BP in most studies and even provided 'incremental gain' in outcome prediction in two studies, measurement of clinic BP and the types of comparative analyses were suboptimal. Hence, it is unclear whether the apparent superiority of ABP over clinic BP resulted from a better estimate of usual BP from ABP or a suboptimal measurement of clinic BP.
Question #3c. What is the incremental gain in prediction of clinical outcomes from use of ambulatory devices beyond prediction from clinic BP alone?
Please see discussion regarding Question #3b.
Question #3d. What is the effect of treatment guided by ABP in comparison to treatment guided by clinic BP.
In both trials, ABP was used to titrate medications in a fashion that would lead to more aggressive use of medications in persons with elevated ABP and less aggressive medication use in persons with apparently low ABP. In the trial by Staessen, there was less use of medications in the ABP group compared to control group, while in the trial by Schrader medication use was similar, perhaps as a result of enrollment procedures. Specifically, in this trial, persons with WCH were excluded post-randomization in the ABP group but not the control group. Had these individuals with WCH been included in both groups, not just the control group, overall medication use might have been less in the ABP group.
During follow-up, BP related end-organ disease, as assessed by LV mass, was similar in the ABP and control groups in the trial by Staessen. In the trial by Schrader, clinical cardiovascular events and deaths were less common in the ABP group than the control group, despite similar mean levels of clinic BP in both groups. This pattern of findings occurred despite the fact that the ABP group in this trial was enriched with a relatively high risk group, sustained hypertensives, while the control group included 'white coat hypertensives'. The reduction in clinical cardiovascular events in the ABP group may have resulted a differential approach to persons with high ABP, specifically, those in the ABP group received upward titration of medications whereas those with high ABP remained undetected in the control group.
In summary, the availability of just two trials limits inferences about the utility of ABP to guide BP management. The dearth of studies might be related to several factors, including historical lack of reimbursement for ABP, difficulties in obtaining repeat ABP, and the perception that SMBP is a more suitable alternative to ABP for management. Still, it is noteworthy that there was no apparent excess in BP-related end organ damage in both trials and potentially even a reduction in clinical events, despite the fact that BP medications were sometimes titrated downward.
Does the evidence for the above questions vary according to a patient's age, gender, income level, race/ethnicity, and clinical subgroups?
As discussed previously, the vast majority of studies included both men and women. However, few studies reported results separately by gender. Also, studies rarely documented enrollment African-Americans; accordingly, race-stratified data was extremely unusual. The remainder of this section documents reports of individual studies that provided subgroup findings. Except for the prevalence of WCH, it is impossible to draw distinct conclusions for separate subgroups.
Research Question 1
One study reported differences between SMBP and clinic BP by gender.26 For both systolic and diastolic BP, clinic BP was greater than SMBP in women and men. Another two studies reported BP differences between ABP and clinic BP, separately by gender.28,33 For both men and women, clinic BP exceeded daytime and 24 hour BP, but the differences appeared somewhat greater in women than men. The same pattern was evident for both systolic and diastolic BP.
The only apparent subgroup difference was the prevalence of WCH by gender. Specifically, in each study that presented WCH prevalence estimates by gender, the prevalence of WCH was higher in women compared to men.39,40,43,49,51,53
Research Question 2
No observational study presented SMBP risk relationships separately by gender. In contrast, three trials that evaluated the effects of SMBP reported or commented on gender differences. In one trial, reductions in BP from the SMBP intervention were similar by gender,70 while in two studies results were better in women compared to men.71,73 One trial reported that the SMBP intervention significantly improved mean arterial pressure in blacks70
Research Question 3
In one cross-sectional study,43 correlations of left ventricular mass with BP appeared higher in women than in men. In the same study, left ventricular mass in sustained hypertensives was greater than that of individuals with WCH, for both men and women. In one prospective study,104 non-dipping status was significantly associated with a greater risk of CVD morbidity and mortality in women but not in men.
Key question 1. Comparison of clinic BP, SMBP, and ABP readings.
Question 1a. Distribution of BP differences.
A total of 18 studies addressed the distribution of BP differences. BP levels measured outside the clinic setting differed from those obtained in the clinic. For both systolic and diastolic BP, clinic measurements exceeded SMBP, daytime ABP, nighttime ABP and 24 hour ABP. In the few studies that compared SMBP and ABP, daytime ABP and SMBP appeared similar, while nighttime ABP was consistently lower than SMBP. The literature was insufficient to determine whether these BP differences are reproducible.
Question 1b. Prevalence of WCH based on SMBP.
A total of four studies addressed this issue. Hence, the literature was insufficient to determine the prevalence of WCH by SMBP.
Question 1c. Prevalence of WCH based on ABP.
A total of 16 studies addressed this issue. Prevalence varied by WCH definition and study population. Overall, the prevalence was approximately 20 percent among patients with hypertension. Only two studies addressed the reproducibility of WCH. Hence, the literature was insufficient to determine whether WCH based on ABP is reproducible.
Key question 2. The relationship of SMBP levels and WCH based on SMBP with target organ damage and clinical outcomes.
Question 2a. Cross-sectional associations of SMBP with target organ damage.
Only one study addressed this issue. Hence, the literature was insufficient to determine the associations of absolute SMBP levels or WCH as determined by SMBP with left ventricular mass or proteinuria.
Question 2b. Associations of SMBP with clinical outcomes in prospective studies.
Only one study addressed this issue. Hence, the literature was insufficient to determine whether absolute SMBP levels or WCH based on SMBP predicts subsequent CVD.
Question 2c. Comparison of risk prediction from SMBP and clinic BP.
Only one study addressed this issue. The dearth of studies combined with the poor or uncertain quality of clinic BP measurements precluded an answer to this question.
Question 2d. Effect of treatment guided by SMBP.
Twelve trials addressed this issue, but the evidence was inconsistent. In half of these trials, interventions that included SMBP led to reduced BP. Two trials used contemporary SMBP technology which can store and synthesize SMBP measurements and which can generate BP reports. In both of these trials, the SMBP intervention led to reduced BP.
Key question 3. The relationship of ABP levels and WCH based on ABP with target organ damage and clinical outcomes.
Question 3a. Cross-sectional associations of ABP with target organ damage.
A total of 25 studies addressed these issues. Left ventricular mass and albuminuria were positively associated with ABP.
Question 3b. Associations of ABP with clinical events in prospective studies.
A total of 10 studies addressed this issue. In each study, at least one dimension of ABP predicted subsequent clinical events, primarily CVD. In two of these studies, WCH was associated with a reduced risk of CVD relative to the risk associated with sustained hypertension. No prospective study adequately compared the risk associated with WCH relative to the risk associated with non-hypertension. In four of five studies, a non-dipping or inverse dipping pattern predicted an increased risk of adverse events.
Question 3c. Comparison of risk prediction from ABP and clinic BP.
A total of nine prospective studies addressed this issue, but only two studies assessed 'incremental' gain, that is, whether ABP provided additional information that was predictive of risk beyond that of clinic BP. However, the poor or uncertain quality of clinic BP measurements precluded a satisfactory comparison of risk prediction from ABP and clinic BP.
Question 3d. Effect of treatment guided by ABP.
Only two trials addressed this issue. Hence, the literature was insufficient to determine the effects of treatment guided by ABP.
Key question 4. Findings to research questions 1-3 in subgroups.
The vast majority of studies included both men and women, but few studies reported results separately by gender. Few studies reported enrollment African-Americans, and race-stratified data were rarely presented. The only notable subgroup finding was a higher prevalence of WCH in women than men.
In summary, ABP levels and ABP patterns were associated with BP-related target organ damage in cross-sectional studies. Likewise, in prospective studies, higher ABP, sustained BP and a non-dipping ABP pattern were associated with an increased risk of subsequent CVD events. Few studies examined corresponding relationships for SMBP. The poor or uncertain quality of clinic BP measurements precluded satisfactory comparisons of risk prediction based on ABP or SMBP with risk prediction based on clinic BP. In aggregate, these findings provide some support for use of ABP monitoring in evaluating prognosis. However, evidence was insufficient to determine whether the risks associated with WCH are sufficiently low to consider withholding drug therapy in this large subgroup of hypertensive patients. For SMBP, available evidence from several trials suggested that use of SMBP can improve BP control; however, further trials are needed.
The potential scope of the project was beyond available resources. Hence, the EPC team made considerable efforts to focus on the most critical research questions, the most relevant populations, and the most important data collection items. In the process, certain research issues were not covered in this report, for example, the prevalence of non-dipping and its cross-sectional associations. By necessity, the EPC team focused on study populations that are now considered candidates for ABP and SMBP monitoring, that is, non-pregnant adults with hypertension.
The literature review was limited to articles published in English, thus increasing the potential for publication bias. The exclusion of articles not published in the English language reflects the practical realities of obtaining and reviewing non-English articles within the time frame and budget of this project.
The evaluation of diagnostic technologies is complex and often does not lend itself well to the traditional table-based format of an evidence report that synthesizes data from large numbers of basically similar studies, often clinical trials. Furthermore, technologies under evaluation rapidly change such that research is often dated by the time it is completed. In the case of SMBP, only two studies tested contemporary technologies that are capable of storing and transmitting data and generating reports. Finally, it is often unclear whether findings from studies of specific devices can be extrapolated to an entire class of devices.
Another set of issues pertain to the reference technology or 'gold standard' against which new technologies are compared. For this report, a critical issue was whether the standard should be clinic BP as recommended in guidelines or clinic BP as commonly (and sub-optimally) obtained in routine medical practice. In the end, most publications provided little information about clinic BP measurements; hence, it is doubtful that ABP and SMBP were compared to high quality clinic measurements. However, the uncertain or poor quality of clinic BP in these studies may actually parallel its routine use in medical practice.
The ABP and SMBP literature is vast, heterogeneous and poorly indexed. These aspects of the literature created enormous logistic challenges at each point in the process, including the review of 4,852 abstracts, review of 596 articles, the design of appropriate data collection instruments, the abstraction of data, and the construction of evidence tables. In several instances, summary statistics had to be recalculated in order to present data in a common format. Because of heterogeneity in study design and data presentation, results from prospective observational studies and clinical trials were entered directly into separate databases or spreadsheets and into open fields rather than as fixed pre-coded fields.
The quality of publications and presentation of data were often suboptimal. In many instances, core methods and basic descriptive information were presented in an unusual fashion that complicated data abstraction. Likewise, statistical analyses were often suboptimal. In the end, several studies that addressed our research questions could not be included because data were not presented in an abstractable format.
Most studies were single center studies, often with small sample size and without government support. Despite the vital importance of accurate BP measurement, governments have sponsored relatively little research that compares the utility of different techniques.
In most papers, the methods sections provided an incomplete description of clinic measurements. Often the type and training of the manual observer, the type of device, the number of measurement days, the number of BP readings per day, and the use (or non-use) of standard measurement techniques was not reported. When standard BP technique was reported, the measurement was often the average of a few readings, sometimes just one or two from a single visit. Training of manual observers was rarely mentioned. Despite this limitation, it should be recognized that the poor and uncertain quality of clinic measurements likely reflects actual clinical practice, in which high quality clinic BP measurements may never be routinely obtained. In contrast, ABP measurement technique in clinic practice is likely to be similar to that of the research setting.
Other limitations of the literature were evident, including the following:
Of the available prospective observational studies, most were comparatively small. ABP and SMBP have not been used in the major observational studies that documented the relation between BP and CVD risk.
Few studies assessed the relation between SMBP and either prevalent BP-related target organ damage (cross-sectional studies) or clinical outcomes (longitudinal studies).
Few trials assessed the utility of ABP to guide BP therapy.
Few studies assessed the reproducibility of the diagnosis of WCH or the reproducibility of differences between clinic BP and either ABP or SMBP.
In the trials that evaluated the utility of SMBP measurements, it is unclear how SMBP data were used to guide BP therapy.
Few studies have compared SMBP and ABP as predictors of outcomes or as tools to guide BP management.
Definitions of ABP variables, such as WCH, were exceedingly variable.
Few studies tested for incremental gain from use of ABP, that is, the gain from concomitant use of ABP with clinic BP beyond that of clinic BP alone. The appropriate analytic model would be simultaneous inclusion of both ABP and clinic BP in regression models rather than stepwise analyses. This proposed analytic strategy would actually parallel the intended use of ABP in clinic practice because ABP would likely be used with clinic BP, not by itself. Specifically, the decision to use ABP and the interpretation of subsequent data is contingent upon clinic BP readings.
Adjustment procedures were often inadequate leading to the potential for residual confounding
This report synthesizes evidence that should facilitate clinical decision making and inform policy makers about the utility of BP measurements outside of the clinic setting. The importance of this report is heightened by concurrent concerns and uncertainties over standard clinic measurements. The EPC team intends to disseminate this report through several venues. The full report will be available through AHRQ's Publications Clearinghouse and its Web Site. Condensed versions of key components will be submitted for publication in peer-reviewed publications that are widely read by physicians and other health care providers who manage patients with hypertension. The NHBPEP will also assist in dissemination of this report through its ongoing activities and meetings. Key findings will also be presented at national meetings of major professional organizations, including the American Society of Hypertension and the American Heart Association. The EPC team anticipates that this report will be used by policy makers who are presently evaluating alternative strategies to measure BP and considering an appropriate research agenda. This report might also stimulate development and dissemination of guidelines for better reporting of ABP and SMBP studies.
The optimal approach to measure BP remains uncertain. In view of the high prevalence of uncontrolled hypertension, the continuing epidemic of BP-related diseases and the potential for alternative measurement techniques to improve diagnosis and target therapy, there is a need for comparative studies that assess the relative efficacy, feasibility, and costs of ABP, contemporary SMBP technology, and clinic BP. Specific types of research needs are as follows:
Prospective observational studies that include SMBP, ABP and clinic BP. Specific research questions include:
What is the reproducibility of WCH?
What are the risks associated with WCH? In particular, is the risk associated with WCH sufficiently low to justify non-treatment? If yes, in what patients?
Does WCH as assessed by SMBP carry the same risk as WCH as assessed by ABP?
What are the risks associated with non-dipping status?
Is non-dipping status a surrogate for some other variable that might be measured more easily, that is, without ABP?
What is incremental gain from use of SMBP or ABP over clinic BP alone?
Can ABP and SMBP identify candidates who respond to lifestyle modification?
Clinical trials that test whether contemporary SMBP technology, compared to conventional management by clinic BP, can improve BP control and health outcomes. An additional comparison group might include BP management by ABP. These trials should also compare the aggregate costs of these approaches.
Decision analyses that determine the costs and effects of strategies that integrate clinic BP, SMBP and ABP. These decision analyses should also identify key parameters (probability, utility, or cost) that are the strongest determinants of the relative cost-effectiveness of different strategies. The importance of this research is highlighted by high prevalence of WCH and the potential for cost savings from reduced medication use or side effects, or conversely, the potential for increased CVD events if medications are inappropriately withdrawn. Subsequent research should then focus on the key parameters for which we need more information before drawing firm conclusions about the most cost-effective strategy. In the end, such analyses could guide policy makers in developing algorithms that incorporate, if appropriate, these techniques.
Synthesis of evidence on BP measurements in a clinic setting, including issues related to the accuracy and performance of different devices (mercury, aneroid, automated BP) and different observers (physicians, nurses, technicians).
Feasibility studies that assess the performance of ABP and SMBP in routine use, including for example, an evaluation of self-reporting bias of SMBP measurements.
In this research, clinic BP should be measured appropriately by trained observers using validated equipment; clinic measurements should also be obtained at several visits. Also, because of the dearth of large-scale, high-quality studies, there is a clear need for government sponsorship of key studies.
To improve the quality of ABP and SMBP publications, standardized methods should be disseminated to researchers and authors. Also, journals should require standardized approaches to presenting ABP data. For published articles, full copies of protocols should be made available, perhaps on the Web. This is especially important because the intense pressure from editors to shorten manuscripts is typically accomplished through reductions in the methods section.
In addition to members of the technical advisory group, the partner and individuals within the AHRQ, feedback was received from individuals from the following organizations.
American Academy of Family Physicians
American Academy of Neurology
Association for the Advancement of Medical Instrumentation
American Association of Health Plans
American College of Cardiology
American College of Physicians-American Society of Internal Medicine
American Society of Hypertension
National High Blood Pressure Education Program Coordinating Committee
All journals searched January 2001 to May 2001, unless otherwise noted.
American Journal of Hypertension
Annals of Internal Medicine
Archives of Internal Medicine
Blood Pressure Monitoring
Blood Pressure
Blood Pressure Supplementum
British Medical Journal
Circulation
Hypertension
Journal of American Medical Association
Journal of Clinical Hypertension*
Journal of Hypertension
Journal of Hypertension Supplementum
Journal of Human Hypertension
Lancet
New England Journal of Medicine
("blood pressure monitors"[mh]OR ((monitor*[tw] AND blood pressure[tw]) OR blood pressure measure*[tw]) OR "blood pressure determination"[mh] OR ("monitoring, ambulatory"[mh] AND ("blood pressure"[mh] OR "hypertension"[mh])) AND (self[tw] OR home[tiab] OR ambulatory[tiab] OR portable[tiab] OR 24-h*[tw] OR 24 h*[tw] OR automat*[tiab] OR "white-coat"[tw] OR "white coat"[tw] OR nocturnal[tiab] OR diurnal[tiab] OR circadian[tw] OR dipper[tiab]) AND eng[la] AND journal article[pt] NOT (animal[mh] NOT human[mh])
BLOOD-PRESSURE-MONITORS*:ME
MONITOR*
(BLOOD and PRESSURE)
(#2 and #3)
(BLOOD next (PRESSURE next MEASURE*))
BLOOD-PRESSURE-DETERMINATION*:ME
BLOOD-PRESSURE-MONITORING-AMBULATORY*:ME
BLOOD-PRESSURE*:ME
HYPERTENSION*:ME
(#8 or #9)
(#7 and #10)
((((#1 or #4) or #5) or #6) or #11)
SELF
HOME
AMBULATORY
PORTABLE
WHITE-COAT
(WHITE next COAT)
NOCTURNAL
DIURNAL
CIRCADIAN
DIPPER
(((((((((#13 or #14) or #15) or #16) or #17) or #18) or #19) or #20) or #21) or #22)
(#23 and #12)
blood pressure determination OR blood pressure monitor*
limits: English language, exclude MEDLINE® overlap
| <print date> | Utility of BP Measurement Outside of Clinic Abstract Review Form | Reviewer: _________ Data Entry: _________ |
| <Record #> <title> <abstract> | ||
Delete, because article (check one):
does not include ambulatory or self-measurement
does not include human data
not in English
no original data
< 20 patients
meeting abstract (no full article for review)
other: (specify) ________________________
Unclear: get article to decide
Do not go on if any item above is checked. |
This article does not apply to any above study topics.
Article pertains to clinic or standard measurement only
Article pertains to invasive or intra-arterial measurement only
Get article for reference regarding:____________________________
Any comments to be
tagged:______________________________________ |
| <print date> | Utility of BP Measurement Outside of Clinic Second Level Abstract Review Form | Reviewer: _________ Data Entry: _________ |
| <Record #> <title> <abstract> | ||
| Delete, because article (check one): |
does not include ambulatory or self-measurement
does not include human data
not in English
no original data
meeting abstract (no full article for review)
other: (specify) ________________________
Unclear: get article to decide |
has <50 patients or addresses reproducibility and has < 20 patients
describes cross-sectional/retrospective study, addresses only question #2 or #3, and does not include comparison with clinic measurement
describes cross-sectional/retrospective study with outcome other than left ventricular mass or proteinuria/albuminuria
addresses only the prevalence of dipping versus non-dipping and no other research questions
describes clinical trial that does not have longitudinal analysis of clinical outcomes other than blood pressure
does not address any of the research questions
Any comments to be
tagged:______________________________________ |
Utility of Blood Pressure Monitoring Outside the Clinic Setting Quality Assessment Form
| Article ID#: | _______________________________ |
| Reviewer 1: | _______________________________ |
| Reviewer 2: | _______________________________ |
ArticleEligibility
Article is not eligible for review because (check one):
| O | does not include human data | |
| O | not in English | |
| O | no original data | |
| O | meeting abstract (no full article for review) | |
| O | article does not apply to any of the research questions | |
| O | article does not include ambulatory or self-measured blood pressure | |
| O | has <#50 patients OR addresses reproducibility and has < 20 patients | |
| O | device evaluation was the primary purpose of the study | |
| O | study population is exclusively pregnant women | |
| O | study population is exclusively children (<20 years of age) | |
| O | article addresses research question, but does not present data in an abstractable format. [check appropriate boxes on pages 2-3, then STOP] | |
| O | article addresses only the prevalence of dipping versus non-dipping and no other research questions | |
| O | article describes cross-sectional/retrospective study, addresses only question #2 or #3, and does not include comparison with clinic measurement | |
| O | article describes cross-sectional study, addresses only question #2 or #3, but outcome is not LV mass (by echocardiography) or proteinuria/albuminuria | |
| O | article only addresses question #1, provides data for clinic BP AND ABPM, or clinic BP AND self-BP but does not include a formal within-person comparison of measurements (e.g. no p-value, SE, SD, CI) | |
| O | other. specify: _____________________ |
If any item above checked -- STOP.
Focus of Article
Instructions: Identify the focus of the article by checking the appropriate box(es) below. For each box that is checked, refer to the corresponding column(s) to identify the additional sections in Part II of the Article Review Form that need to be completed.
Article provides information to address following question(s): [check all that apply]
| Sections To Complete in Part II | |||
| #1Comparison of readings | |||
reproducibility of differences and/or patterns (#1 a,b,c) | |||
distribution of readings between clinic and self-measured blood pressure (#1a) | 1,2 | ||
distribution of readings between clinic and ambulatory blood pressure measurements (#1a) | 1,2 | ||
distribution of readings between self-measured and ambulatory blood pressure measurements (#1a) | 1,2 | ||
prevalence of white-coat hypertension defined by self-measurement devices (#1b) | 1 | ||
prevalence of white-coat hypertension defined by ambulatory measurement devices (#1c) | 1 | ||
| #2 Self-measured blood pressure and clinical events | |||
| Self-measured blood pressure associated with LV mass (#2a) | |||
mean BP levels (#2a) | 1,3 | ||
white-coat hypertension (#2a) | 1,3 | ||
incremental gain (#2c) | |||
| Self-measured blood pressure associated with proteinuria/albuminuria (#2a) | |||
mean BP levels (#2a) | 1,4 | ||
white-coat hypertension (#2a) | 1,4 | ||
incremental gain (#2c) | |||
Prediction of clinical outcomes [longitudinal study] (#2b) | |||
Effect of treatment guided by self-measured blood pressure (#2d) | |||
| #3 Ambulatory blood pressure and clinical events | |||
| Ambulatory blood pressure associated with LV mass (#3a) | |||
mean BP levels (#3a) | 1,3 | ||
white-coat hypertension (#3a) | 1,3 | ||
dippers (TBD) | |||
incremental gain (#3c) | |||
| Ambulatory blood pressure associated with proteinuria/albuminuria (#3a) | |||
mean BP levels (#3a) | 1,4 | ||
white-coat hypertension (#3a) | 1,4 | ||
dippers (TBD) | |||
incremental gain (#3c) | |||
Prediction of clinical outcomes [longitudinal study] (#3b) | |||
Effect of treatment guided by ambulatory blood pressure (#3d) | |||
| #4 Does evidence for any of the above questions vary by subgroups | |||
comparison of readings (#1) | |||
self-measured and clinical events (#2) | |||
ambulatory and clinical events (#3) | |||
| Study addresses the following population(s) of interest: | |||
age | Part II | ||
sex | Part II | ||
race | Part II | ||
diabetes | Part II | ||
dialysis | Part II | ||
renal transplant patients | Part II | ||
hypertensives | Part II | ||
normotensives | Part II | ||
white-coat hypertensives | |||
sustained hypertensives | |||
excess variability | Part II | ||
anti-hypertensive medications | Part II | ||
chronic renal insufficiency | Part II | ||
proteinuria/albuminuria | Part II | ||
active or prior cardiac or cerebrovascular disease | Part II | ||
current smoking | Part II | ||
obese individuals | Part II | ||
drug resistant hypertension | Part II | ||
autonomic dysfunction | Part II | ||
other: ____________________ | |||
other: ____________________ | |||
other: ____________________ | |||
If not directed to a section in Part II- STOP
If directed to a section(s) in Part II- complete page 4 and 5 of this form, then complete Part I followed by Part II
Quality Assessment Questions:
Type of study:
O single center
O multi center
O can't tell
Source(s) of funding:
device manufacturer
other industry
government
organization other than government or industry
O can't tell or not stated
Were the inclusion and exclusion criteria adequately reported?
O yes, sufficient to replicate study design
O no
Were recruitment procedures adequately described?
O yes, sufficient to replicate study design
O no
Does the study provide basic characteristics of participants (age, gender, % on HTN medication)?
O yes, all 3 items reported
O no, one or more items missing
O not applicable
Were the individuals who collected office/clinic BP masked (blinded) to other relevant data (e.g. ambulatory measurements, self-measurements or clinical outcomes)?
O yes, explicitly stated OR clinic BP measurements completed prior to other measurements (masking accomplished by study design)
O no, or not reported
For studies with LV mass or clinical outcomes, were the assessors of these outcomes masked (blinded) to blood pressure data? (eg echo technicians)
O yes, explicitly stated or implicit in design
O no, or not reported
O not applicable
For prospective studies, how complete were the follow-up data?
O > 80% of data on enrolled participants
O < 80% of data on enrolled participants
O can't tell or not stated
O not applicable
For the primary analyses, were both the magnitude of differences or association AND an index of variability (e.g. test statistic, p value, standard error, confidence interval) stated?
O yes, both reported
O no, one or both not reported
For observational studies, were the adjustment procedures appropriate?
O yes
O no
O not applicable
Was the analytic approach appropriate?
O yes
O no
Comments:
Utility of Blood Pressure Monitoring Outside the Clinic Setting
PART I
| Article ID#: | _____________________ |
| Reviewer 1: | _____________________ |
| Reviewer 2: | _____________________ |
| General Study Characteristics |
|---|
The analysis of interest was of the following design:
O randomized controlled trial
O non-randomized controlled trial
O cohort study
O case-control
O cross-sectional
O before-after
O case series
O can't tell or not stated
Study was completed in:
O United States
O Canada
O United Kingdom
O Can't tell or not stated
O Other. Specify: ______________________
Setting. Study population was drawn from (check all that apply):
general clinic
specialty hypertension clinic
other specialty clinic
general population
other research study unspecified
other. specify: ______________________
O can't tell or not stated
| Clinic Blood Pressure Measurement |
Who was the observer for blood pressure measurements?
medical technician
nurse
physician assistant
physician
student
can't tell or not stated
other. specify: ______________________
Note: If data are provided separately for multiple observers, use data for the observer closest to the top of above list (eg use nurse data if both nurse and physician data are provided).
Did the results of the study differ according to type of observer?
O yes
O no
O not applicable
Was the observer trained?
O yes
O no
O can't tell or not stated
What type of blood pressure measurement device was used?
O mercury
O mercury random zero
O aneroid
O automated
O multiple devices, GO TO Question 9, page 4
O can't tell or not stated
If automated, indicate the device number from list of validated devices: __________
| 1. | CAS Model 9010 |
| 2. | Datascope Accurtorr Plus |
If manual, indicate Korotkoff sound used for diastolic blood pressure:
O K4
O K5
O can't tell or not stated
O not applicable
Did the study use or adapt a standard technique, such as that provided by a professional society (e.g., AHA) or a major study (e.g., HDFP)
O yes
O no. If no, did the study specify that they utilized:
appropriate cuff size
wait of at least 2 minutes before obtaining measurements
O can't tell or not stated
O can't tell or not stated
What was the position of the participant?
O supine
O standing
O sitting
O combination
O can't tell or not stated
What was the planned number of clinic BP measurements?
__________ measurements per day for ___________ days
O other: ____________
O can't tell or not stated
Actual number of days blood pressure measured (complete all available):
mean: _____________________________
median: _____________________________
range: ___________ to ______________
O can't tell or not stated
Actual number of blood pressure readings per day (complete all available):
mean: _____________________________
median: _____________________________
range ____________ to _____________
O can't tell or not stated
Actual total number of blood pressure readings (complete all available): [if total is not provided, calculate when possible: total= number of days measured times number of readings per day]
mean: _____________________________
median: _____________________________
range ____________ to _____________
O calculated by reviewer
O can't tell or not stated
Comments-Clinic BP:
| Selft Blood Pressure Measurement |
Was self blood pressure measured?
O yes
O no, STOP and GO TO Question 29, page 9
The blood pressure measurements were taken by:
patient
someone else
O can't tell or not stated
Was the observer trained?
O yes
O no
O can't tell or not stated
What type of blood pressure measurement device was used?
O mercury
O aneroid
O electronic or automated
O can't tell or not stated
If automated, indicate the device number from list of validated devices: ____________
| 1 2 3 4 5 | Omron HEM-705CP Omron HEM-722C Omron HEM-735C Omron HEM-713C Omron HEM-737 Intellisense |
If auscultatory, indicate Korotkoff sound used for diastolic blood pressure:
O K4
O K5
O can't tell or not stated
O not applicable
How were the measurements recorded?
O patient/observer recorded
O stored electronically
O can't tell or not stated
What were the times of recordings?
morning (before noon)
afternoon (noon to 6:00pm)
evening (after 6:00pm)
O can't tell or not stated
Where were the measurements recorded?
work
home
O can't tell or not stated
What was the planned number of self-BP measurements?
__________ measurements per day for ___________ days
O other: ____________
O can't tell or not stated
Actual number of days blood pressure measured (complete all available):
mean: _____________________________
median: _____________________________
range _____________________________
O can't tell or not stated
O Actual number of blood pressure readings per day (complete all available):
mean: _____________________________
median: _____________________________
range _____________________________
O can't tell or not stated
Actual total number of blood pressure readings (complete all available)
[if total is not provided, calculate when possible: total= number of days measured times number of readings per day]:
mean: _____________________________
median: _____________________________
range _____________________________
O calculated by reviewer
O can't tell or not stated
Comments-Home BP:
| Ambulatory Blood Pressure Measurement |
Was ambulatory blood pressure measured?
O yes
O no, STOP and GO TO question 43, page 12
Was the patient given instructions?
O yes (eg keep arm still and/or stop movement during measurements)
O no
O can't tell or not stated
What type of blood pressure measurement device was used?
O auscultatory
O oscillometric
O both (if both, use auscultatory to answer all subsequent questions)
O can't tell or not stated
O Indicate the device number from list of devices: ____________________
| 1 | CH-DRUCK | 9 | Schiller BR-102 | 17 | Accutracker II |
| 2 | Daypress 500 | 10 | SpaceLabs 90202 | 18 | DIASYS 200 |
| 3 | DIASYS Integra | 11 | SpaceLabs 90207 | 19 | Medilog ABP |
| 4 | ES-H531 | 12 | SpaceLabs 90217 | 20 | Nissei DS-240 |
| 5 | Meditech ABPM-04 | 13 | Takeda 2430 | 21 | OSCILL-IT |
| 6 | Profilomat | 14 | TM-2420, model 7 | 22 | Profilomat II |
| 7 | QuietTrak | 15 | TM-2420,model 6 | 23 | Takeda 2421 |
| 8 | Save 33, model 2 | 16 | TM-2421 | 24 | TM-2420, model 5 |
Were the presented measurements edited?
O yes
O no
O can't tell or not stated
How were measurements edited?
device
during analysis
O can't tell or not stated
Where were the measurements taken?
Work (work day)
Home (non-work day)
O can't tell or not stated
Duration of measurement?
O awake or day time only
O 24 hour recording period
O >24 hours (or more than 1 recording period)
O can't tell or not stated
How did the study define daytime/awake and nighttime/asleep?
Awake or daytime:
Indicate period of measurement:
O awake hours as reported by patient
O daytime defined by:
| start time: | __________________________________ |
| O am O pm | |
| end time: | __________________________________ |
| O am O pm | |
| start time: | __________________________________ |
| O am O pm | |
| end time: | __________________________________ |
| O am O pm | |
What was the time interval on the monitor between measurements during daytime/awake hours?
O 1 reading every __________ minutes
O not applicable
O can't tell or not stated
What was time interval on the monitor between measurements during nighttime/sleep hours?
O 1 reading every __________ minutes
O not applicable
O can't tell or not stated
Actual number of daytime blood pressure readings per 24-hour period (complete all available):
mean:________________________________
median:________________________________
range:________________________________
O not applicable
O can't tell or not stated
Actual number of nighttime blood pressure readings per 24-hour period (complete all available):
mean:________________________________
median:________________________________
range:________________________________
O not applicable
O can't tell or not stated
Total number of blood pressure readings per 24-hour period (including day and night, complete all available):
mean:________________________________
median:________________________________
range:________________________________
O calculated by reviewer
O can't tell or not stated
Comments-Ambulatory BP:
Definitions of hypertension
How was hypertension defined?
O Definition of hypertension not applicable for this study
Cut-off values for HT -- Clinic BP
SBP: > ____________(mmHg)
DBP: > ____________(mmHg)
Cut-off values for HT -- Self-BP
SBP: >____________(mmHg)
DBP: >____________(mmHg)
Cut-off values for HT -- ABPM
SBP: >____________(mmHg)
O Based on Daytime BP
O Based on 24-Hour BP
DBP: >____________(mmHg)
O Based on Daytime BP
O Based on 24-Hour BP
|
How was white coat-hypertension defined?
O not applicable for this study
O cross-tabulation of clinic BP and self-BP
O cross-tabulation of clinic BP and ABPM
O other method:__________________________
O applicable for this study, but definition not stated
Echocardiographic Assessment of LV mass
What type of echocardiograph was used to assess LV mass?
O not applicable for this study- STOP and go to Question 51
O M-mode (with or without Doppler)
O Other - Specify: ______________
O Unknown
Number of cycles averaged to assess LV mass: ______________ O Unknown
Use of Penn convention for measurement:
O yes
O no
O unknown
Method used to estimate LV mass:
O Devereaux
O Other - Specify: _______________
O Unknown
Units for LV mass index:
O LV mass by surface area (g/m2)
O LV mass by height (g/m)
O LV mass by height2 (g/m2)
O LV mass by height2.7 (g/m2.7)
O LV mass (g)
O Other - Specify: __________________
O Unknown
Cut-off value for LV hypertrophy:
O males: _________________
O females: ______________________
O unknown
O not applicable
Assessment of Urine Protein/Albumin
Measures of protein excretion?
O not applicable for this study
O mg of protein/ 24 hours
O mg of protein/ mg creatinine
O not measured
Measures of albuminuria?
O not applicable for this study
O mg of albumin/ 24 hours
O mg of albumin/ mg creatinine
O not measured
Cut-off values for proteinuria?
O not applicable for this study
O males: ________________
O females: _______________
Cut-off values for microalbuminuria?
O not applicable for this study
O males: ________________
O females: _______________
Type of urine collection?
O not applicable for this study
O 24-Hour
O spot
O timed collection for _________ hours
O can't tell or not stated
Formal Comparison of BP readings
What was the order of measurement for the comparison of clinic BP and self BP?
O not applicable for this study
O clinic BP measured first
O self BP measured first
O random order of measurement
O non-random order
O other, including multiple
O can't tell or not specified
What was the order of measurement for the comparison of clinic BP and ABPM?
O not applicable for this study
O clinic BP measured first
O daytime BP measured first
O random order of measurement
O non-random order
O other, including multiple
O can't tell or not specified
What was the order of measurement for the comparison of self BP and ABPM?
O not applicable for this study
O self BP measured first
O nighttime BP measured first
O random order of measurement
O non-random order
O other, including multiple
O can't tell or not specified
Patient Characteristics
Complete the following information for the entire study population.
(Record data as it is presented- N or % or both. If only subgroup data is provided, calculate data for the entire study population when possible.)
| N | % | |
| Number of Patients | ||
| Males | ||
| African-American | ||
| Asian | ||
| White | ||
| Other race | ||
| Diabetics | ||
| On BP medication | ||
| On dialysis | ||
| Active or prior cardiac or cerebrovascular disease | ||
| Current Smokers | ||
| Hypertension- defined by clinic BP | ||
| Hypertension-defined by self BP | ||
| Hypertension- defined by ABPM | ||
| Normotension- Normal clinic BP and normal self BP | ||
| Normotension-Normal clinic BP and normal ABPM | ||
| White-coat HTN (high clinic but normal self BP) | ||
| White-coat HTN (high clinic but normal ABPM) | ||
| Sustained HTN (high clinic and high self) | ||
| Sustained HTN (high clinic and high ABPM) |
Please indicate the exclusion criteria, as well as, if appropriate, the specific population(s) included in the study. [Check all that apply]
| Exclusion Criteria | Specific Population Targeted | Criteria |
![]() |
![]() | Age <__________years |
![]() |
![]() | Age > _________ years |
![]() |
![]() | Males |
![]() |
![]() | Females |
![]() |
![]() | One or more racial or ethnic groups |
![]() |
![]() | Pregnancy |
![]() |
![]() | Hypertensives |
![]() |
![]() | Normotensives |
![]() |
![]() | Anti-hypertensive medication |
![]() |
![]() | Diabetes |
![]() |
![]() | Dialysis |
![]() |
![]() | Chronic renal insufficiency (not on dialysis) |
![]() |
![]() | Renal transplant patients |
![]() |
![]() | Proteinuria/albuminuria |
![]() |
![]() | Excess variability |
![]() |
![]() | Active or prior cardiac or cerebrovascular disease |
![]() |
![]() | Current smoking |
![]() |
![]() | Obese individuals |
![]() |
![]() | Drug resistant hypertension |
![]() |
![]() | Autonomic dysfunction |
![]() |
![]() | Other: __________________________________ |
![]() |
![]() | Other: __________________________________ |
| O | Exclusion criteria not stated or can't tell | |
| O | no specific population |
Summarize in one sentence the main aim of this study.
Summarize in one or two sentences the main finding(s) of this study that is/are relevant to any of our research questions
General Comments:
Provide number of people for which each of the following completed:
| Clinic BP | ___________________ | O not applicable |
| Self BP | ____________________ | O not applicable |
| AMBP | ____________________ | O not applicable |
| Echocardiograph | __________________ | O not applicable |
| Urine protein/albuminuria | _________________ | O not applicable |
Study included results presented as:
one group or whole group
subgroups.
If subgroups, specify the number abstracted in Part II (see page 3, Quality Assessment Form)
Number of subgroups: ___________
Provide names for each subgroup to be abstracted in Part II (see page 3, Quality Assessment Form)
| Name | |
| Group A | |
| Group B | |
| Group C | |
| Group D | |
| Group E |
Utility of Blood Pressure Monitoring Outside the Clinic Setting
PART II- RESULTS
| Article ID#: | ________________________ |
| Reviewer 1: | ________________________ |
| Reviewer 2: | ________________________ |
| Complete and submit separate results sections for each required group (refer to page 3 of the Quality Assessment Form) and for the entire study population. Results on this form completed for (circle one): | |||||
| Whole Group | Group A | Group B | Group C | Group D | Group E |
OUTLINE
| Page | ||
| SECTION 1- Demographic Characteristics and Blood Pressure | 2 | |
| SECTION 2- Distribution of Readings between Clinic Blood Pressure, Self-Measured Blood Pressure and Ambulatory Blood Pressure | ||
| 2.1 | Comparison of self-measured BP and clinic BP........................ | 4 |
| 2.2 | Comparison of ABPM and clinic BP .................................... | 5 |
| 2.3 | Comparison of ABPM and self-measured BP........................... | 8 |
| SECTION 3- Association of Blood Pressure with LV Mass | ||
| 3.1 | Clinic BP and LV mass ..................................................... | 12 |
| 3.2 | Self-measured and LV mass .............................................. | 14 |
| 3.3 | ABPM and LV mass ..................................................... | 21 |
| SECTION 4- Association of Blood Pressure with Urine Protein | ||
| 4.1 | Clinic BP and urine protein ................................................. | 29 |
| 4.2 | Self-measured BP and urine protein ....................................... | 31 |
| 4.3 | ABPM and urine protein ................................................ | 38 |
| SECTION 1 PATIENT DEMOGRAPHICS |
Complete the following information for each required group (this question should NOT be completed for the entire study population). Record data only as it is presented-N or % or both.
| N | % | |
| Number of Patients | ||
| Males | ||
| African-American | ||
| Asian | ||
| White | ||
| Other race | ||
| Diabetics | ||
| On BP medication | ||
| On dialysis | ||
| Active or prior cardiac or cerebrovascular disease | ||
| Current Smokers | ||
| Hypertension- defined by clinic BP | ||
| Hypertension-defined by self BP | ||
| Hypertension- defined by ABPM | ||
| Normotension- Normal clinic BP and normal self BP | ||
| Normotension-Normal clinic BP and normal ABPM | ||
| White-coat HTN (high clinic but normal self BP) | ||
| White-coat HTN (high clinic but normal ABPM) | ||
| Sustained HTN (high clinic and high self) | ||
| Sustained HTN (high clinic and high ABPM) |
| SECTION 1 PATIENT DEMOGRAPHICS |
Complete the following information for each required group (this question should NOT be completed for the entire study population). Record data only as it is presented-N or % or both.
| N | % | |
| Number of Patients | X | |
| Males | ||
| African-American | ||
| Asian | ||
| White | ||
| Other race | ||
| Diabetics | ||
| On BP medication | ||
| On dialysis | ||
| Active or prior cardiac or cerebrovascular disease | ||
| Current Smokers | ||
| Hypertension- defined by clinic BP | ||
| Hypertension-defined by self BP | ||
| Hypertension- defined by ABPM | ||
| Normotension- Normal clinic BP and normal self BP | ||
| Normotension-Normal clinic BP and normal ABPM | ||
| White-coat HTN (high clinic but normal self BP) | ||
| White-coat HTN (high clinic but normal ABPM) | ||
| Sustained HTN (high clinic and high self BP) | ||
| Sustained HTN (high clinic and high ABPM) |
Complete the following table:
- only record other data if mean and SD are NOT provided
- if clinic BP data are provided for various positions, only record sitting BP
| Mean | SD | Median | Range | SE | upper 95% CI | lower 95% CI | |
| Age | |||||||
| Clinic SBP | |||||||
| Clinic DBP | |||||||
| Self SBP | |||||||
| Self DBP | |||||||
| Day SBP | |||||||
| Day DBP | |||||||
| Night SBP | |||||||
| Night DBP | |||||||
| 24-hour SBP | |||||||
| 24-hour DBP | |||||||
| D Day-night SBP | |||||||
| D Day-night DBP |
| SECTION 2 COMPARISON OF CLINIC, SELF AND AMBULATORY BLOOD PRESSURE MEASUREMENTS If study does not compare BP measurements, STOP and GO TO Question 26, page 14 |
Does study address distribution of readings between CLINIC BP and SELF-MEASURED BP?
O Yes
O No, STOP and go to Question 6, page 5
| SECTION 2.1 FORMAL COMPARISON OF SELF-MEASURED BP AND CLINIC BP (Distribution of readings between clinic and self-measured blood pressure-#1a) |
For each study that reports the blood pressure difference between CLINIC BP and SELF BP indicate the following information:
BP Difference (difference is defined as clinic BP minus self BP):
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Clinic BP and Self BP:
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95%CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
| SECTION 2.2 COMPARISON OF ABPM AND CLINIC BP Distribution of readings between clinic and ambulatory blood pressure (#1a) |
Does the study address distribution of readings between CLINIC BP and ABPM?
O Yes
O No, STOP and GO TO question 16, page 8
Does the study address distribution of readings between CLINIC BP and DAYTIME BP measurements (#1a)?
O Yes
O No, STOP and GO TO question 10, page 6
For each study that reports the blood pressure difference between CLINIC BP and DAYTIME BP indicate the following information:
BP Difference (difference is defined as clinic BP minus daytime BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Clinic BP and Daytime BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95%CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Does the study address distribution of readings between CLINIC BP and NIGHTTIME BP blood pressure measurements?
O Yes
O No, STOP and go to question 13, page 7
For each study that reports the blood pressure difference between CLINIC BP and NIGHTTIME BP indicate the following information:
BP Difference (difference is defined as clinic BP minus nighttime BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Clinic BP and Nighttime BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95%CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Does the study address the blood pressure difference between CLINIC BP and 24-HOUR BP?
O Yes
O No, STOP and GO TO Question 16, page 8
For each study that reports the blood pressure difference between CLINIC BP and 24 HOUR BP indicate the following information:
BP Difference (difference is defined as clinic BP minus 24-Hour BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95% CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Clinic BP and 24-Hour BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95% CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
| SECTION 2.3 COMPARISON OF ABPM AND SELF BP Distribution of readings between ABPM and self-BP (#1a) |
Does the study address distribution of readings between SELF BP and ABPM?
O Yes
O No, STOP and GO TO question 26, page 11
Does the study address distribution of readings between SELF BP and DAYTIME BP measurements (#1a)?
O Yes
O No, STOP and GO TO question 20, page 9
For each study that reports the blood pressure difference between SELF BP and DAYTIME BP indicate the following information:
BP Difference (difference is defined as self BP minus daytime BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Self BP and Daytime BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95%CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Does the study address distribution of readings between SELF BP and NIGHTTIME BP blood pressure measurements?
O Yes
O No, STOP and go to question 23, page 10
For each study that reports the blood pressure difference between SELF BP and NIGHTTIME BP indicate the following information:
BP Difference (difference is defined as self BP minus nighttime BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Self BP and Nighttime BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95%CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Does the study address the blood pressure difference between SELF BP and 24-HOUR BP?
O Yes
O No, STOP and GO TO Question 26, page 11
For each study that reports the blood pressure difference between SELF BP and 24 HOUR BP indicate the following information:
BP Difference (difference is defined as self BP minus 24-Hour BP)
| SBP Difference | DBP Difference | |
|---|---|---|
| Mean (Difference) | ||
| SD (Difference) | ||
| SE (Difference) | ||
| 95%CI (Difference) | to | to |
| Range (Difference) | to | to |
| P-Value (Difference) | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
Correlation Coefficient for Self BP and 24-Hour BP
| SBP | DBP | |
|---|---|---|
| Estimate | ||
| SE | ||
| 95% CI | to | to |
| P-Value | ||
| O p>0.05 | O p>0.05 | |
| O p<0.05 | O p<0.05 | |
| O p<0.01 | O p<0.01 | |
| O p<0.001 | O p<0.001 |
| SECTION 3 LV MASS AND BP |
Does the paper address the association between LV mass and ambulatory BP and/or self-measured BP AND provide a comparison with clinic BP?
O Yes
O No, STOP and GO TO Question 69, page 29
Is LV mass measured by echocardiogram?
O Yes
O No, STOP and GO TO Question 69, page 29
LV mass index:
mean: | ____________________ | |
SD: | ____________________ | |
SE: | ____________________ | |
median: | ____________________ | |
IQR: | ____________________ | to ____________________ |
95% CI: | ____________________ | to ____________________ |
Range: | ____________________ | to ____________________ |
| O Unknown: | ____________________ | to ____________________ |
Proportion of patients with LV hypertrophy __________ (%) O Unknown
| SECTION 3.1 CLINIC BP AND LV MASS: CROSS-SECTIONAL STUDIES (Question #2a and Question #3a) |
Instructions: In the following sections, a paper may present the same association with different degrees of adjustment. Please, abstract always the maximally adjusted model (EXCEPT if separate subgroups are being reported -- in this case, abstract the subgroup specific data rather than the overall model).
Clinic BP and LV mass:
| Estimate: | ||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||
| P value: | __________ | __________ | __________ | __________ | __________ | __________ | ||||||||||||||||||||||||
|
|
|
|
|
|
Clinic BP and LV mass:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| ABPM |
![]() |
![]() |
![]() |
| SELF BP |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| SECTION 3.2 SELF BP AND LV MASS: CROSS-SECTIONAL STUDIES Self-measured BP and association with blood pressure-related target organ damage (Question #2a) |
Does study address self-measured BP and LV mass?
O Yes
O No, STOP and GO TO Question 49, page 21
Self BP and LV mass:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
Self BP and LV mass:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Clinic BP |
![]() |
![]() |
![]() |
| ABPM |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
Did this study address the incremental gain in prediction of LV mass from self measurement devices beyond prediction from clinic BP alone? (e.g. are both variables in the same model?)
O Yes
O No
O Can't tell or not stated
| CROSS SECTIONAL COMPARISON OF LV MASS IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES- SELF BP (Question #2a) |
Does the study compare LV mass in normotensives, white-coat hypertensives and/or sustained hypertensives, assessed by SELF BP?
O Yes
O No, STOP and GO TO Question 49, page 21
| BLOOD PRESSURE BY CATEGORY OF HYPERTENSION-BASED ON SELF BP |
Instructions:
- Only record other data if mean and SD are NOT provided
- If clinic BP is provided for various positions-record only sitting BP
Blood pressure in clinic and self normotensives:
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For clinic and self normotensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in white-coat hypertensives (Self BP)
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For self-BP white-coat hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in Self BP sustained
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For clinic and Self BP sustained hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
| LV MASS INDEX BY CATEGORY OF HYPERTENSION- BASED ON SELF BP |
Complete the following table for LV Mass by category of hypertension:
-- Only record other measurements if mean and SD are NOT provided
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic & SELF BP Normotensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP White-coat Hypertensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP sustained Hypertensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
Proportion of clinic & Self BP normotensives with LV hypertrophy:
(%) O Can't tell or not stated
Proportion of Self BP white-coat hypertensives with LV hypertrophy:
(%) O Can't tell or not stated
Proportion of Self BP sustained hypertensives with LV hypertrophy:
(%) O Can't tell or not stated
| DIFFERENCE IN LV MASS BY CATEGORY OF HYPERTENSION-BASED ON SELF-BP If study does not address difference in LV mass, STOP and GO TO Question 49, page 21 |
Complete the following table:
| White-coat hypertensives minus normotensives (Self BP) | Sustained hypertensives minus normotensives (Self BP) | Sustained hypertensives minus white-coat hypertensives (Self BP) | ||||||||||||||||
| Estimate: | ______________ | _______________ | _______________ | |||||||||||||||
| SE: | ______________ | _______________ | _______________ | |||||||||||||||
| 95% CI: | _______to______ | _______to_______ | _______to_______ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted, Crude | O | O | O | |||||||||||||||
| Adjusted for: | ||||||||||||||||||
| Clinic BP | O | O | O | |||||||||||||||
| Other, Specify: | ______________ | _______________ | _______________ | |||||||||||||||
| Other, Specify | ______________ | ________________ | ________________ | |||||||||||||||
Complete the following table for the OR of LV hypertrophy by category of hypertension, assessed by Self BP:
| White-coat hypertensives vs. normotensive (Self BP) | Sustained hypertensives vs. normotensives (Self BP) | Sustained hypertensives vs. white-coat hypertensives (Self BP) | ||||||||||||||||
| OR: | ||||||||||||||||||
| 95% CI: | _______to________ | ________to_________ | ________to_________ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted-Crude | O | O | O | |||||||||||||||
| Adjusted for (check all that apply): | ||||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Clinic BP |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| Considered variables (matched, adjusted but not reported, etc.): | ||||||||||||||||||
| None | O | O | ||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
Comments: Self BP and LV Mass
| SECTION 3.3 AMBULATORY BP AND LV MASS: CROSS-SECTIONAL STUDIES (ABPM and association with blood pressure-related target organ damage- #3a) |
Does study address the association between ABPM and LV mass?
O Yes
O No, STOP and GO TO Question 69, page 29
24-Hour BP and LV mass:
| Estimate: | ||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||
| P value: | __________ | __________ | __________ | __________ | __________ | __________ | ||||||||||||||||||||||||
|
|
|
|
|
|
Daytime BP and LV mass:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
Nighttime BP and LV mass index:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
ABPM and LV mass index:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Clinic BP |
![]() |
![]() |
![]() |
| Self-measured BP |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
Did this study address the incremental gain in prediction of LV mass from ambulatory devices beyond prediction from clinic BP alone? (e.g. are both variables in the same model?)
O Yes
O No
O Can't tell or not stated
| CROSS-SECTIONAL COMPARISON OF LV MASS IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-ABPM (Question #2a) |
Does the study compare LV mass in normotensives, white-coat hypertensives and/or sustained hypertensives, assessed by ABPM?
O Yes
O No, STOP and GO TO Question 69, page
| BLOOD PRESSURE BY CATEGORY OF HYPERTENSION |
Instuctions:
- Only record other measurements if mean and SD are NOT provided
-If BP pressure data are provided for various positions- use only sitting BP
Blood pressure in clinic and ABPM normotensives:
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Clinic DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
For clinic and ABPM normotensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in ABPM white-coat hypertensives
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Clinic DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
For ABPM white-coat hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in ABPM sustained hypertensives
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Clinic DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| 24-Hour DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Day DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night SBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
| Night DBP | ________ | _______ | ______ | _______ | _____to_____ | _____to____ | ____to____ |
| O No Information Provided | |||||||
For ABPM sustained hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
| LV MASS BY CATEGORY OF HYPERTENSION BASED ON ABPM (Question #3a) |
Complete the following table for the mean LV mass index by category of hypertension:
- Only report other variables if Mean and SD are NOT provided
| Mean | SD | SE | Median | IQR | 95% CI | Range | ||
| Clinic & ABPM normotensives | _______ | _____ | ______ | _______ | _____to_____ | _____to____ | ____to____ | |
| O No Information Provided | ||||||||
| ABPM White-coat Hypertensives | _______ | _____ | ______ | _______ | _____to_____ | _____to____ | ____to____ | |
| O No Information Provided | ||||||||
| ABPM Sustained Hypertensives | _______ | _____ | ______ | _______ | _____to_____ | _____to____ | ____to____ | |
| O No Information Provided | ||||||||
Proportion of clinic & ABPM normotensives with LV hypertrophy:
(%) O Unknown
Proportion of ABPM white-coat hypertensives with LV hypertrophy
(%)O Unknown
Proportion of ABPM sustained hypertensives with LV hypertrophy:
(%) O Can't tell or not stated
| DIFFERENCE IN LV MASS BY CATEGORY OF HYPERTENSION- BASED ON ABPM If study does not address difference in LV mass, STOP and GO TO Question 69 page 29 |
Complete the following table for the difference in LV by category of hypertension:
| White-coat hypertensives minus normotensives (ABPM) | Sustained hypertensives minus normotensives (ABPM) | Sustained hypertensives minus white-coat hypertensives (ABPM) | ||||||||||||||||
| Estimate: | ______________ | _______________ | _______________ | |||||||||||||||
| SE: | ______________ | _______________ | _______________ | |||||||||||||||
| 95% CI: | _______to______ | _______to_______ | _______to_______ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted, Crude | O | O | O | |||||||||||||||
| Adjusted for: | ||||||||||||||||||
| Clinic BP | O | O | O | |||||||||||||||
| Other, Specify: | ______________ | _______________ | _______________ | |||||||||||||||
| Other, Specify | ______________ | ________________ | ________________ | |||||||||||||||
| ODDS RATIOS OF LV HYPERTROPHY IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-ABPM |
Does the study present the OR of LV hypertrophy in normotensives, white-coat hypertensives or sustained hypertensives, assessed by ABPM?
O Yes
O No, STOP and GO TO Question 69, page 29
Complete the following table for the OR of LV hypertrophy by category of hypertension assessed by ABPM
| White-coat hypertensives vs. normotensive (ABPM) | Sustained hypertensives vs. normotensives (ABPM) | Sustained hypertensives vs. white-coat hypertensives (ABPM) | ||||||||||||||||
| OR: | ||||||||||||||||||
| 95% CI: | _______to________ | ________to_________ | ________to_________ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted-Crude | O | O | O | |||||||||||||||
| Adjusted for (check all that apply): | ||||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Clinic BP |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| Considered variables (matched, adjusted but not reported, etc.): | ||||||||||||||||||
| None | O | O | ||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| SECTION 4 URINE PROTEIN AND BP BP and association with blood pressure-related target organ damage (#2) |
Does the paper address the association between urine protein and self-BP and/or ABPM AND provide a comparison with clinic BP?
O Yes
O No, STOP- this form is complete
| SECTION 4.1 CLINIC BP AND URINE PROTEIN: CROSS-SECTIONAL STUDIES |
Instructions: In this section, a paper may present the same association with different degrees of adjustment.Please, abstract always the maximally adjusted model (EXCEPT if separate subgroups are being reported -- in this case, abstract the subgroup specific data rather than the overall model).
Correlation Coefficient, variance and regression coefficient between clinic BP and urine protein or albumin:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
Clinic BP and urine protein or albumin:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| ABPM |
![]() |
![]() |
![]() |
| Self-measured BP |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| SECTION 4.2 SELF-BP AND URINE PROTEIN: CROSS-SECTIONAL STUDIES Self-measured blood pressure associated with proteinuria/albuminuria (#2a) |
Does study address self-measured BP and Urine protein or albumin?
O Yes
O No, STOP and GO TO Question 89, page 38
Self BP and Urine protein or albumin:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
Self BP and Urine protein or albumin:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Clinic BP |
![]() |
![]() |
![]() |
| ABPM |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
Did this study address the incremental gain in prediction of urine protein from self-measured devices beyond prediction from clinic BP alone? (e.g. are both variables in the same model?)
O Yes
O No
O Can't tell or not stated
| CROSS-SECTIONAL COMPARISONS OF URINE PROTEIN IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-SELF BP (Question #2a) |
Does the study compare urine protein in normotensives, white-coat hypertensives and/or sustained hypertensives, assessed by SELF BP?
O Yes
O No, STOP and GO TO Question 89, page 38
Instructions:
- Only record other measurements if mean and SD are NOT provided
- If BP pressure measurements are provided for various positions- use only sitting BP for the following items.
Blood pressure in clinic and SELF BP normotensives:
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For clinic and SBPM normotensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in SELF BP white-coat hypertensives
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For SELF BP white-coat hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in SELF BP sustained
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP SBP | _________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BPDBP | ________ | _______ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For clinic and SELF BP sustained hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
| URINE PROTEIN BY CATEGORY OF HYPERTENSION BASED ON SELF BP |
Complete the following table for urine protein by category of hypertension:
-- Only record other measurements if mean and SD are NOT provided
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic & SELF BP normotensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP White-coat hypertensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| SELF BP sustained Hypertensive | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
Proportion of clinic & SELF BP normotensives with LV hypertrophy:
(%) O Can't tell or not stated
Proportion of SELF BP white-coat hypertensives with LV hypertrophy:
(%) O Unknown
Proportion of SELF BP sustained hypertensives with LV hypertrophy:
(%) O Can't tell or not stated
| DIFFERENCE IN URINE PROTEIN BY CATEGORY OF HYPERTENSION- BASED ON SELF BP If study does not address difference in urine protein, STOP and GO TO Question 89, page 38 |
Complete the following table for the adjusted difference in urine protein between normotensives, white-coat hypertensives and sustained hypertensives assessed by self-measured BP:
| White-coat hypertensives minus normotensives (Self BP) | Sustained hypertensives minus normotensives (Self BP) | Sustained hypertensives minus white-coat hypertensives (Self BP) | ||||||||||||||||
| Estimate: | ______________ | _______________ | _______________ | |||||||||||||||
| SE: | ______________ | _______________ | _______________ | |||||||||||||||
| 95% CI: | _______to______ | _______to_______ | _______to_______ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted, Crude | O | O | O | |||||||||||||||
| Adjusted for: | ||||||||||||||||||
| Clinic BP | O | O | O | |||||||||||||||
| Other, Specify: | ______________ | _______________ | _______________ | |||||||||||||||
| Other, Specify | ______________ | ________________ | ________________ | |||||||||||||||
| ODDS RATIOS OF PROTEINURIA IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-SELF BP |
Complete the following table for the OR of proteinuria or albuminuria by category of hypertension, assessed by self BP:
| White-coat hypertensives vs. normotensive (Self BP) | Sustained hypertensives vs. normotensives (Self BP) | Sustained hypertensives vs. white-coat hypertensives (Self BP) | ||||||||||||||||
| OR: | ||||||||||||||||||
| 95% CI: | _______to________ | ________to_________ | ________to_________ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted-Crude | O | O | O | |||||||||||||||
| Adjusted for (check all that apply): | ||||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Clinic BP |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| Considered variables (matched, adjusted but not reported, etc.): | ||||||||||||||||||
| None | O | O | ||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
Comments: Self BP and Proteinuria
| SECTION 4.3 ABPM AND URINE PROTEIN: CROSS-SECTIONAL STUDIES (ABPM and association with blood pressure-related target organ damage- #3a) |
Does study address the association between ABPM and Urine protein?
O Yes
O No, STOP this form is complete
24-Hour BP and Urine protein:
| Estimate: | ||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||
| P value: | __________ | __________ | __________ | __________ | __________ | __________ | ||||||||||||||||||||||||
|
|
|
|
|
|
Daytime BP and Urine protein:
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
Nighttime BP and Urine protein
| Estimate: | ||||||||||||||||||||||||||||||||||||
| SE | ||||||||||||||||||||||||||||||||||||
| 95% CI: | to | to | to | to | to | to | ||||||||||||||||||||||||||||||
| P value |
|
|
|
|
|
|
ABPM and Urine protein:
| Correlation Coefficient | Variance Explained (R2) | Regression Coefficient | |
| Type of coefficient: | |||
| Pearson (Parametric) | O | O | O |
| Spearman (Non-Parametric) | O | O | O |
| Unknown | O | O | O |
| Adjustment: | |||
| Unadjusted-Crude | O | O | O |
| Adjusted for (check all that apply): | |||
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Clinic BP |
![]() |
![]() |
![]() |
| SELF BP |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
| Considered variables (matched, adjusted but not reported, restricted etc.): | |||
| None | O | O | O |
| Age |
![]() |
![]() |
![]() |
| Gender |
![]() |
![]() |
![]() |
| Race |
![]() |
![]() |
![]() |
| Weight, BMI or WHR |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Other:___________ |
![]() |
![]() |
![]() |
| Unknown | O | O | O |
Did this study address the incremental gain in prediction of urine protein from ambulatory devices beyond prediction from clinic BP alone? (e.g. are both variables in the same model?)
O Yes
O No
O Can't tell or not stated
| CROSS-SECTIONAL COMPARISON OF URINE PROTEIN IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-ABPM |
Does the study compare urine protein in normotensives, white-coat hypertensives and/or sustained hypertensives, assessed by ABPM?
O Yes
O No, STOP this form is complete
| BP BY CATEGORY OF HYPERTENSION |
Instructions
- Only record other data if mean and SD are NOT provided
- If clinic BP measurements are provided for various positions- use only sitting BP
Blood pressure in clinic and ABPM normotensives:
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For clinic and ABPM normotensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in ABPM white-coat hypertensives
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For ABPM white-coat hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
Blood pressure in ABPM sustained hypertensives
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Clinic DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| 24-Hour DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Day DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night SBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| Night DBP | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
For ABPM sustained hypertensives, indicate the following additional information:
| Males: | N_________ (%) _________ |
| Race: | |
| African-American: | N_________ (%) _________ |
| Asian | N_________ (%) _________ |
| White | N_________ (%) _________ |
| Other | N_________ (%) _________ |
| Mean Age: | _____________ |
| Urine protein by category of hypertension based on ABPM (Question #3a) |
Complete the following table for urine protein by category of hypertension:
- Only report other variables if Mean and SD are NOT provided
| Mean | SD | SE | Median | IQR | 95% CI | Range | |
| Clinic & ABPM normotensives | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| ABPM White-coat Hypertensives | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
| ABPM Sustained Hypertensives | _______ | _____ | ______ | _______ | ____to_____ | ____to_____ | ____to___ |
| O No Information Provided | |||||||
Proportion of clinic & ABPM normotensives with proteinuria:
(%) O Unknown
Proportion of ABPM white-coat hypertensives with proteinuria:
(%) O Unknown
Proportion of ABPM sustained hypertensives with proteinuria:
(%) O Can't tell or not stated
| DIFFERENCES IN URINE PROTEIN IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES-ABPM |
Does the study report differences in urine protein in normotensives, white-coat hypertensives and sustained hypertensives, assessed by ABPM?
O Yes
O No, STOP this form is complete
Complete the following table for the adjusted difference in urine protein between normotensives, white-coat hypertensives and sustained hypertensives assessed by ABPM:
| White-coat hypertensives minus normotensives (ABPM) | Sustained hypertensives minus normotensives (ABPM) | Sustained hypertensives minus white-coat hypertensives (ABPM) | ||||||||||||||||
| Estimate: | ______________ | _______________ | _______________ | |||||||||||||||
| SE: | ______________ | _______________ | _______________ | |||||||||||||||
| 95% CI: | _______to______ | _______to_______ | _______to_______ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted, Crude | O | O | O | |||||||||||||||
| Adjusted for: | ||||||||||||||||||
| Clinic BP | O | O | O | |||||||||||||||
| Other, Specify: | ______________ | _______________ | _______________ | |||||||||||||||
| Other, Specify | ______________ | ________________ | ________________ | |||||||||||||||
| ODD RATIOS OF PROTEINURIA/ALBUMINURIA IN NORMOTENSIVES, WHITE-COAT HYPERTENSIVES AND SUSTAINED HYPERTENSIVES- ABPM |
Does the study present the OR of proteinuria/albuminuria in normotensives, white-coat hypertensives or sustained hypertensives, assessed by ABPM?
O Yes
O No, STOP this form is complete
Complete the following table for the OR of proteinuria/albuminuria by category of hypertension assessed by ABPM:
| White-coat hypertensives vs. normotensive (ABPM) | Sustained hypertensives vs. normotensives (ABPM) | Sustained hypertensives vs. white-coat hypertensives (ABPM) | ||||||||||||||||
| OR: | ||||||||||||||||||
| 95% CI: | _______to________ | ________to_________ | ________to_________ | |||||||||||||||
| P value: |
|
|
| |||||||||||||||
| Adjustment: | ||||||||||||||||||
| Unadjusted-Crude | O | O | O | |||||||||||||||
| Adjusted for (check all that apply): | ||||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Clinic BP |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Other, Specify | _____________ | ________________ | ________________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| Considered variables (matched, adjusted but not reported, etc.): | ||||||||||||||||||
| None | O | O | ||||||||||||||||
| Age |
![]() |
![]() |
![]() | |||||||||||||||
| Gender |
![]() |
![]() |
![]() | |||||||||||||||
| Race |
![]() |
![]() |
![]() | |||||||||||||||
| Weight, BMI or WHR |
![]() |
![]() |
![]() | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Other, Specify | ______________ | ______________ | ______________ | |||||||||||||||
| Unknown | O | O | O | |||||||||||||||
| Article ID#: | __________________ |
| Reviewer 1: | __________________ |
| Reviewer 2: | __________________ |
Article Eligibility
Article is not eligible for review because (check one):
O does not include human data
O not in English
O no original data
O meeting abstract (no full article for review)
O article does not apply to any of the research questions
O article does not include ambulatory or self-measured blood pressure
O article addresses reproducibility and has < 20 patients
O device evaluation was the primary purpose of the study
O study population is exclusively pregnant women
O study population is exclusively children (<20 years of age)
O article addresses research question, but does not present data in an abstractable format.
O article addresses only the prevalence of dipping versus non-dipping and no other research questions
O article does not include reproducibility of white-coat hypertension
If yes, does article only address reproducibility of the difference between clinic, ABPM and/or self BP measurements
| O | Yes |
| O | No |
O other.specify:________________
If any item above checked -- STOP. If article is eligible- complete pages 2-3
What technique was used to assess agreement between baseline and repeat blood pressure measurements?
O kappa statistic
O t-test
O pearson correlation coefficient
O other:_______________
*If other, STOP- do not complete the rest of this form
Complete the following table for reproducibility of WCH defined by clinic and ABPM and/or self BP:
| Correlation Coefficient Baseline and Repeat WCH (ABPM) | Correlation Coefficient Baseline and Repeat WCH (Self BP) | Kappa Statistic Baseline and Repeat WCH (ABPM) | Kappa Statistic Baseline and Repeat WCH (Self BP) | t-test Baseline and Repeat WCH (ABPM) | t-test Baseline and Repeat WCH (Self BP) | |
| Estimate: | ||||||
| SE: | ||||||
| 95% CI: | to | to | to | to | to | to |
| P value: | __________ | __________ | __________ | __________ | __________ | __________ |
| O > 0.05 O < 0.05 O < 0.01 O < 0.001 | O > 0.05 O < 0.05 O < 0.01 O < 0.001 | O > 0.05 O < 0.05 O < 0.01 O < 0.001 | O > 0.05 O < 0.05 O < 0.01 O < 0.001 | O > 0.05 O < 0.05 O < 0.01 O < 0.001 | O > 0.05 O < 0.05 O < 0.01 O < 0.001 |
Was there any evidence of inconsistencies in the blood pressure protocol between baseline and repeat BP measurements?
different measurement technique
different number of measurements
different setting/location
different observer
different blood pressure device
different time of day
other difference: _____________
O No observed differences
What was the percentage of white-coat hypertensives defined by clinic and ABPM at baseline and follow-up? (% WCH is defined as percentage of all hypertensives identified as having WCH)
| WCH at Baseline | N _____ % _____ | |
| WCH at Follow-up | N _____ % _____ | |
| WCH at Both | N _____ % _____ | O Can't tell or not stated |
What was the percentage of white-coat hypertensives defined by clinic and self BP at baseline and follow-up? (% WCH is defined as percentage of all hypertensives identified as having WCH)
| WCH at Baseline | N _____ % _____ | |
| WCH at Follow-up | N _____ % _____ | |
| WCH at Both | N _____ % _____ | O Can't tell or not stated |
What was the mean time interval between baseline BP and the last follow-up BP?
(if multiple follow-up measurements are provided-use only the first and last set of measurements)
| __________ | O days |
| O weeks | |
| O months | |
| O years |
Comments:
Data Collection Items - Spread Sheet for Longitudinal Studies (questions #2b and #3b)
| Author |
| Year of Publication |
| Group |
| Whole/Subgroup |
| Total Sample Size |
| Study Description: |
| Duration of follow up (Years): |
| Mean |
| SD |
| Outcome: |
| Description |
| Number of Events |
| Clinic Blood Pressure as Predictor |
| Systolic Blood Pressure Contrast Label Number P Value 95% CI |
| Diastolic Blood Pressure Contrast Label Number P Value 95% CI |
| Self-measured Blood Pressure as Predictor |
| Systolic Blood Pressure Contrast Label Number P Value 95% CI |
| Diastolic Blood Pressure Contrast Label Number P Value 95% CI |
| Daytime Ambulatory Blood Pressure Measurement as Predictor |
| Systolic Blood Pressure Contrast Label Number P Value 95% CI |
| Diastolic Blood Pressure Contrast Label Number P Value 95% CI |
| Nighttime Ambulatory Blood Pressure Measurement as Predictor |
| Systolic Blood Pressure Contrast Label Number P Value 95% CI |
| Diastolic Blood Pressure Contrast Label Number P Value 95% CI |
| 24 Hour Ambulatory Blood Pressure Measurement as Predictor |
| Systolic Blood Pressure Contrast Label Number P Value 95% CI |
| Diastolic Blood Pressure Contrast Label Number P Value 95% CI |
| Pattern as Predictor: |
| White Coat Hypertension Contrast Label Number P Value 95% CI |
| Non Dippers Contrast Label Number P Value 95% CI |
| Incremental Gain Beyond Clinic |
| Ambulatory Tested Gain |
| Self-measured Blood Pressure Tested Gain |
| Adjustments |
| Data Adjusted For Age Gender Smoking Cholesterol Others |
| Comments |
Data Collection Items - Spread Sheet for Clinical Trials (questions #2d and #3d)
| First Author Year of Publication Total Sample Size |
| Study Objectives Objective |
| Follow Up (Months) Mean SD |
| The following items were abstracted for each randomized group: Group name N Description |
| Age (Years) Mean SD |
| Patient Demographic Characteristics % Male % African American % White % Other Race % Diabetics % On BP Medication % On Dialysis % History of Cardiovascular Disease % Current Smokers |
| BP Measurement and Management by Group Type of BP Device Frequency of Measurement Medication Titration SBP Goal DBP Goal Other Co-interventions Number of Clinic BP Visits at the End of Follow-up |
| Office Systolic BP by Group (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Offfice Diastolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Self-Measured Systolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Self-Measured Diastolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Daytime Ambulatory Systolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Daytime Ambulatroy Diastolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Night time Ambulatory Systolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| Night time Ambulatory Diastolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| 24 hour Ambulatory Systolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| 24 hour Ambulatory Diastolic Blood Pressure (mmHg) Baseline BP Mean SD Follow-up Mean SD Difference from Baseline Mean SD Between Group Difference (comparison with control group) Mean SD P Value |
| BP Control (% at Goal):Definition of BP Control: Baseline (%) Follow-up (%) Improvement (%) P Value |
| Compliance Definition Baseline (%) Follow-up (%) Improvement (%) P Value |
| Medication Use (% on Number of Medication) Baseline (%) Follow-up (%) Improvement (%) P Value |
| Medication Use (Number of Anti-Hypertensive Medications) Baseline Follow-up Improvement P Value |
| Other Outcomes |
| Comments |
| ABP | ambulatory blood pressure |
| AAMI | Association for the Advancement for Medical Instrumentation |
| BMI | body mass index |
| BP | blood pressure |
| BHS | British Hypertension Society |
| HTN | hypertension |
| LV | left ventricular |
| NHBPEP | National High Blood Pressured Education Program |
| NT | normotension |
| RR | relative risk |
| SH | sustained hypertension |
| SMBP | self-measured blood pressure |
| WCH | white coat hypertension |
Free Full text in PMC].
Free Full text in PMC].
Free Full text in PMC].