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 the Task Order Officer named below at: Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850, or by email to epc@ahrq.gov.
Carolyn M. Clancy, M.D.
Director
Agency for Healthcare Research and Quality
Jean Slutsky, P.A., M.S.P.H.
Director, Center for Outcomes and Evidence
Agency for Healthcare Research and Quality
Beth Collins Sharp, Ph.D., R.N.
Director, EPC Program
Agency for Healthcare Research and Quality
Gurvaneet Randhawa, M.D., M.P.H
EPC Program Task Order Officer
Agency for Healthcare Research and Quality
We would like to thank Andrea Cutting, Heidi O'Connor, and James Tacklind for their assistance with data extraction and table preparation; Indulus Rutks for literature search and retrieval; and Marilyn Eells for editing and formatting this report.
Objectives: Evaluate treatment options for nonruptured abdominal aortic aneurysms (AAA); the relationship of hospital and physician volume to outcomes for endovascular repair (EVAR); affect of patient and AAA factors on outcomes; cost-benefits of treatments.
Data sources: PubMed®, Cochrane Library, FDA, and other electronic websites until May 2006. Reference lists and content experts were used to identify additional reports.
Review Methods: Randomized controlled trials (RCT) of open surgical repair (OSR), EVAR, or active surveillance, systematic reviews, nonrandomized U.S. trials, and national registries were used to assess clinical outcomes. Volume-outcome articles published after 2000 were reviewed if they reported the relationship between U.S. hospital or physician volume and outcomes, were population-based, and the analysis was adjusted for risk factors. Cost studies included at least 50 EVAR and provided data on costs or charges, and cost-effectiveness analyses.
Results: Initial or attained diameter is the strongest known predictor of rupture. The annual risk of rupture is below 1 percent for AAA <5.5 cm in diameter. Among medically ill patients unfit for OSR with AAA ≥5.5 cm, the risk of rupture may be as high as 10 percent per year. Early/immediate OSR of AAA <5.5 cm (two trials n=2,226) did not reduce all-cause mortality compared with surveillance and delayed OSR. Results did not differ according to age, gender, baseline AAA diameter, or creatinine concentration. Two RCT with followup of at least 2 years compared EVAR to OSR for AAA ≥5.5 cm. EVAR reduced postoperative 30-day mortality compared to OSR (1.6 percent EVAR vs. 4.7 percent OSR, RR = 0.34 [0.17 to 0.65]). Early reduction in all-cause mortality with EVAR disappeared before 2 years. Post-operative complications and reinterventions were higher with EVAR. Quality of life differences were small and disappeared after 3–6 months. One RCT of patients with AAA ≥5.5 cm judged medically unfit for OSR (n=338), reported no difference in all-cause mortality or AAA mortality between EVAR and no intervention (HR = 1.21; 95 percent CI 0.87 to 1.69). Forty-eight nonrandomized reports evaluated EVAR. Patient, AAA characteristics, and outcomes were similar to RCT comparing EVAR to OSR. A volume outcome relationship has been shown for OSR, but there are no data adequate to estimate the effect of hospital or physician volume on EVAR outcomes or to identify a volume threshold for policymakers. Immediate OSR for AAA <5.5 cm costs more and does not improve long-term survival compared to active surveillance and delayed OSR. The cost effectiveness of EVAR relative to OSR is difficult to determine. However, compared to OSR for AAA ≥5.5 cm, EVAR has greater in-hospital costs primarily due to the cost of the prosthesis. EVAR has shorter length of stay, lower 30-day morbidity and mortality but does not improve quality of life beyond 3 months or survival beyond 2 years, and is associated with complications, need for reintervention, long-term monitoring, and higher long-term costs. Compared to no intervention in patients medically unfit for OSR, EVAR costs more and does not improve survival or quality of life.
Conclusions: For AAA <5.5 cm in diameter, active surveillance with delayed OSR results in equivalent mortality but lesser morbidity and operative costs due to fewer interventions compared to immediate OSR. For AAA ≥5.5 cm, EVAR has not been shown to improve long-term survival or health status over OSR though peri-operative outcomes are improved. EVAR does not improve survival in patients who are medically unfit for OSR. EVAR is associated with more complications, need for reintervention, monitoring, and costs compared to OSR or no intervention. U.S. RCT are needed using approved EVAR devices to evaluate patient outcomes.
An abnormal bulging of the abdominal aorta, called an abdominal aortic aneurysm (AAA) is a potentially serious condition that can lead to death if it ruptures. An AAA is considered present when the maximum diameter of the aorta below the renal arteries (infrarenal AAA) expands to exceed 3.0 cm. In the United States, rupture of AAA accounts for approximately 9,000 deaths annually.1 Another 30,000–40,000 patients undergo elective surgical repair of asymptomatic AAA to prevent rupture, with perioperative mortality ranging from 2–8 percent.2, 3 Death due to AAA rupture or repair is the thirteenth leading cause of death in the United States and tenth among older men.4, 5
The majority of AAAs remain asymptomatic for years, though the risk of rupture increases with AAA size. Immediate death can result, and mortality remains between 40 and 60 percent, even when emergency care and repair are undertaken. Management options are primarily based on patient's life expectancy and AAA size and include no treatment, active surveillance and delayed repair, immediate open surgical repair (OSR), and endovascular aneurysm repair (EVAR).
Recent recommendations for AAA screening in high-risk populations along with emerging endovascular methods for repair have led to increased interest in evaluating the effectiveness and adverse effects of treatment options for patients with AAA.
The Minnesota Evidence-based Practice Center (EPC) was asked to answer the following questions related to elective treatment of nonruptured AAA that were nominated by America's Health Insurance Plans (AHIP).
What are the comparative effectiveness and adverse effects of treatment options of AAA including active surveillance, open repair, and endovascular repair?
What is the relationship of volume, both hospital and physician, to the benefits and harms of endovascular procedures to repair AAA?
How do the characteristics of the aneurysm (size/location/shape) and the patient (age/gender) affect the benefits and harms of endovascular and open-surgical repair?
What are the costs-benefits for each of the procedures?
For questions 1 and 3 we searched PubMed®, Cochrane Library, Food and Drug Administration (FDA), and other electronic websites from 1990 to October 2005. The following terms were included: abdominal aortic aneurysm, endovascular repair, surveillance, and surgery. Titles and abstracts of identified references were reviewed. For question 2, MEDLINE® was searched for publications about volume-outcome relationships for procedures to repair AAA published after 1990. Key words included abdominal aortic aneurysm, volume, outcome, and process assessment of health care. For question 4 we used the terms abdominal aortic aneurysm combined with economics, nursing economics, pharmaceutical economics, cost, pharmacoeconomics, cost analysis, cost allocation, cost-benefit analysis, cost control, cost savings, cost of illness, cost sharing, “deductibles and coinsurance,” medical savings accounts, health care costs, direct service costs, drug costs, employer health costs, hospital costs, health expenditures, capital expenditures, hospital economics, hospital charges, hospital costs, medical economics, or medical fees. Reference lists and contacts with content experts were used to identify additional reports.
For questions 1 and 3, studies were eligible if they were randomized controlled trials or multivariate natural history studies involving AAA, open repair, endovascular repair, or active surveillance and reported clinical outcomes. We included and updated a systematic review of EVAR vs. open repair published by the U.K. National Institute of Clinical Excellence (NICE) as well as nonrandomized U.S. trials or national registries.6 To assess volume-outcome relations (question 2), articles that met the following criteria were reviewed. The report had to be an original analysis of U.S. data representing repair of unruptured AAA beginning in 1990; the sample had to represent variation between hospitals or surgeons in a community or larger geographic area and present sample statistics representing the relationship between a measure of hospital or physician volume and a beneficial or harmful outcome of AAA repair; the analysis had to attempt to make adjustments for other known risk factors. For question 4, studies had to include at least 50 AAA procedures in each arm, provide data on costs, charges, or reimbursement rates, or be a cost-effectiveness analysis.
The methods of Schulz et al. were used to assess the quality of randomized controlled trials (RCT).7 We determined whether intention-to-treat analysis was utilized and whether published RCT used EVAR devices similar to those available in the United States. We evaluated whether effectiveness of interventions varied according to patient, aneurysm, or device characteristics including: age, race, gender, EVAR device manufacturer, or aneurysm size (small [<5.5 cm] vs. large aneurysm). Data from nonrandomized studies were included to assess relevance and consistency to practice in the United States. Analyses of administrative databases to examine relationships between provider volume and outcomes were evaluated by their ability to represent current practices in the United States, the reliability and validity of ‘volume’ and outcome measures, and the thoroughness of the regression analyses, including control of key risk factors. Quality of cost studies were based on whether they included relevant costs, used appropriate time frame, and evidence of effectiveness and adverse effects from randomized controlled trials.
Data regarding study, patient, and device characteristics as well as outcomes were extracted. Outcomes were described as effectiveness (initial clinical success ≤30 days or during initial hospitalization; short-term (30 days to 6 months), midterm (6 months to 5 years), and long-term >5 years) and adverse effects based on recommendations for reporting of outcomes for open and EVAR by the Society for Vascular Surgery.8 The primary outcome was midterm all-cause mortality. Additional outcomes included initial all-cause mortality, AAA mortality, AAA rupture, quality of life, and technical measures of EVAR and OSR success. Adverse events and complications included treatment-related mortality and morbidity such as endoleaks, graft rupture, migration, kinking, and need for additional interventions, including OSR.
For question 2 the main outcome that has been studied in relation to provider volume is short-term mortality. All published analyses used regression models of this outcome on retrospectively defined volume measures. Information was abstracted to characterize (1) the study population, (2) volume measures, (3) outcome measures, (4) regression model including covariates used for risk adjustment and handling of clustering of patients within hospitals or surgeons, and (5) adjusted and unadjusted estimates of volume effects. For question 4 we assessed charges, costs, reimbursement rates, hospital and intensive care unit length of stay, incremental cost effectiveness ratios, and quality adjusted life years.
Descriptive characteristics of patient populations were presented. For results from RCTs we calculated odds ratios (ORs) for categorical variables and weighted risk differences for continuous variables with the corresponding 95 percent confidence intervals. Because of the paucity of RCT, results from each study were evaluated and described and the corresponding statistical parameters for effect size and significance were described. We reported on tests of interaction for predefined subgroups. The preponderance of evidence for relationships between the volume of procedures performed by hospitals and physicians to repair AAA and outcomes has been obtained by secondary regression analysis of administrative databases. Methodological differences, including the definition of volume and outcomes measures, make it difficult to compare results from the different studies. Use of variables to control for pre-procedure risk (case-mix), physician training, and health care system attributes varied. Analytical methods varied as well. Therefore, we did not attempt to do a meta-analysis to combine estimates from different retrospective observational studies. The summary of studies of the volume-outcome relationship was limited to tabulation of individual study characteristics and results. Cost analysis was limited to a review of published findings and discussion of study limitations and strengths.
The strongest known predictor of rupture is AAA diameter. AAA enlargement rate is not consistently independently associated with rupture rate. The annual rate of rupture for AAA <5.5 cm is 1 percent or less. Among individuals refusing or medically unfit for surgical intervention, the 1 year rupture risk may exceed 10 percent in AAA >6 cm and for AAA of >8 cm, the risk may exceed 25 percent at 6 months.
For patients with small AAA (<5.5 cm), two high-quality RCT (n=2,226), the Aneurysm Detection and Management study (ADAM)9 and the United Kingdom Small Aneurysm Trial (UKSAT)10 demonstrated that early/immediate OSR of AAA did not reduce all-cause mortality compared with active surveillance and delayed OSR. After a mean followup of approximately 5 years, the overall relative risk (RR) and hazard ratio (HR) for all-cause mortality for ADAM and UKSAT were 1.21 [95 percent confidence interval (CI) 0.95 to 1.54] and 0.94 [95 percent CI 0.75 to 1.17, p=0.56], respectively. Outcomes did not differ between treatment groups according to age, gender, or AAA diameter at baseline. After a mean followup of 8 years in the UKSAT study, no significant difference in mean survival was found between groups (6.5 years for surveillance versus 6.7 for early surgery, p=0.29) although total mortality was lower in the early/immediate OSR (adjusted HR was 0.83 [95 percent CI 0.69 to 1.00, p=0.05]). AAA related mortality was not reduced by early/immediate OSR in the ADAM study (3.3 percent vs. 3.4 percent). In the UKSAT trial, AAA-related deaths (combined ruptured AAA, secondary AAA rupture, and AAA repair deaths) accounted for 19 percent of all deaths in the surveillance group compared to 15 percent for the early OSR group at a mean followup of 8 years. Differences in quality of life measures, when they existed, were small.
Three high-quality multicenter trials compared the outcomes of EVAR with OSR of large AAA (≥5.5 cm) (n = 1,489) in patients judged medically fit for OSR.11–13 Two trials provided data at 2 years or longer (n = 1,413).12, 13 None of the studies were conducted in the United States. All began recruitment prior to 2000 and some EVAR devices used may not be currently available in the United States EVAR reduced postoperative 30-day mortality compared to OSR (EVAR = 1.6 percent vs. OSR = 4.7 percent RR = 0.34 [95 percent CI 0.17 to 0.65]) and hospital length of stay. Reduction in all-cause mortality seen with EVAR disappeared by 2 years. There was a persistent 3 percent reduction in AAA-related mortality. Outcomes did not differ significantly by treatment for either all-cause or AAA mortality according to age, gender, aneurysm diameter, or renal function though few women were enrolled. In EVAR-1, postoperative complications, included primarily EVAR graft related ruptures, infections, endoleaks, thrombosis, or other surgery required and re-exploration of OSR. These were five times more common with EVAR as with OSR (17.6 vs. 3.3 per 100 person years). The Dutch Randomized Endovascular Aneurysm Management (DREAM) trial reported nearly identical rates of severe (systemic, local-vascular/graft complications or local nonvascular complications) adverse event-free survival in the two groups (16.9 percent [EVAR] versus 19.4 percent [OSR] at year 2). The rate of survival free of moderate or severe complications was similar at two years (65.6 percent for EVAR and 65.9 percent for OSR). In EVAR-1, reinterventions occurred three times as often in the EVAR group, exceeding 20 percent at 4 years. DREAM showed a similar pattern in the first 9 months but then reintervention rates were roughly parallel.
DREAM study data on quality of life and sexual functioning favored EVAR in the early postoperative period, but by 6 months, scores in the OSR group equaled or surpassed those in the EVAR group. In EVAR-1, physical component summary scores in the Short Form-36 (SF-36) were lower with OSR to 3 months, with no differences thereafter. There were no differences at any point in the mental component summary scores. Differences at 3 months did not achieve a level previously determined detectable by patients. EVAR costs were higher than OSR.
The British EVAR-2 study was a methodologically high-quality study and the only RCT that evaluated EVAR versus no intervention for patients with large AAA (≥5.5 cm) and deemed medically unfit for OSR (n = 338). There was a 6 percent higher all-cause mortality in patients receiving EVAR compared with no intervention that did not achieve statistical significance (45 percent vs. 39 percent; HR = 1.21; [95 percent CI 0.87 to 1.69]). AAA rupture occurred in 4 percent of EVAR patients and 12 percent of individuals in the no intervention group (rupture rate in the no intervention group = 9 per 100 person years.) There was no difference in AAA related mortality (12 vs. 13 percent) (HR = 1.01 [0.55 to 1.84]), although nine ruptures and six AAA deaths occurred in the EVAR group prior to elective repair (median time from randomization to EVAR = 57 days). There were no significant differences in mortality for EVAR compared with no intervention according to age, sex, aneurysm diameter, or renal function. The 30-day EVAR mortality was higher in the sicker EVAR-2 patients than those receiving EVAR who were judged medically fit for surgery in EVAR-1 (9 percent versus 2 percent; p <0.0001). If only elective EVAR cases were considered in EVAR-2 the 30-day EVAR mortality was 7 percent. Compared to EVAR-1 patients, there was a greater need for internal iliac artery embolization, blood products, renal dialysis, and longer hospital stay.
Approximately 55 percent of individuals with large AAA screened for trial enrollment in EVAR-1 and 2 were judged to be anatomically suitable for EVAR. The most commonly used EVAR devices in these two trials were Zenith (33–59 percent of devices) and Talent (21 to 33 percent). Over 90 percent of EVAR devices used in these trials were aortobiiliac device systems commercially available in the U.K. at the time of the RCT. Aorto-aortic (tube) grafts were used in the majority of OSR. Selection for EVAR and OSR grafts was based on the discretion of the surgical team. There are no data to determine whether outcomes varied according to device type. The exact make and model of EVAR devices used is not known, and some may not be approved for use or currently available in the United States. Refinements in device, delivery systems, and provider experience may be associated with different outcomes in the United States than reported in these RCTs.
Forty-eight reports of lower methodologic quality than RCT (case series, nonrandomized controlled studies, national registries, and U.S. FDA reports) assessed clinical outcomes of EVAR. While it is not possible to make direct comparisons with RCT, most reports explicitly stated patients were candidates for OSR. Baseline patient characteristics, AAA diameter, 30 day and 2 year overall, and AAA mortality as well as EVAR conversion rates and secondary interventions for included patients were similar to those from EVAR-1 and DREAM. None of these reports assessed EVAR in patients with AAA ≥5.5 cm and considered “medically unfit for OSR” and direct comparisons cannot be made with EVAR-2. One report evaluated outcomes of EVAR and OSR in a “high surgical risk” subgroup of patients entered into any of five nonrandomized multicenter Investigational Device Exemption (IDE) studies leading to U.S. FDA approval of EVAR devices. Patients with AAA ≥5.5 cm were retrospectively categorized as “high surgical risk” based on age >60 years and having at least one cardiac, pulmonary, or renal comorbidity. Inclusion criteria for the IDE studies required that patients were candidates for OSR, though in one study patients were prospectively defined as being poor candidates for OSR or at high risk due to pathophysiologic conditions including creatinine >2.0 mg/dL, disabling COPD, ejection fraction <25 percent, stroke with residual deficit, or myocardial infarction within the past 6 months. Three-quarters of “high-risk” patients had only one comorbid category and less than one percent had all three categories.14 After 4 years, deaths categorized as due to AAA were similar between EVAR and OSR patients (4.2 percent and 5.1 percent respectively (p = 0.58). Overall-survival in EVAR treated patients was 10 percent lower compared to OSR (56 percent vs. 66 percent) though this difference was not statistically significant (p = 0.23).
Patient treatment preference according to AAA size and medical fitness for surgical intervention is difficult to ascertain. How the results from published RCTs influence future patient and provider treatment preferences in the United States is not known.
Our search did not find any adequate published studies of the relationship between hospital or physician volume and any outcome of EVAR.
There were several historical studies of the relationship between the volume of OSR done by hospitals and physicians to repair AAA and short-term mortality. Many of these studies represented practices in the 1990s when endovascular repair procedures were being developed and later tested in randomized controlled trials. Studies of the volume-outcome relationship for OSR have not been reported since the widespread adoption of EVAR in the United States. Nevertheless, historical studies of OSR of AAA can serve to inform the design of future studies of EVAR. Studies of OSR have not determined why hospital volume appears to be related to short-term mortality. Surgeon volume and surgeon specialty may explain a large portion of the commonly observed inverse relationship between the volume of OSR done by hospitals and short-term mortality. Very low-volume hospitals often appear to have higher mortality; however, data from low-volume providers is highly variable and statistically imprecise. No previous study carefully controlled all the key risk factors that might confound these observational studies, especially the characteristics of the aneurysms that will be important in studies of EVAR. The type of endograft might be another important factor in studies of EVAR outcomes. The one study of OSR that was able to control for preoperative clinical measures did not find a significant association between hospital volume and mortality. Very low-volume hospitals often appear to have higher mortality; however, data from low-volume providers is highly variable and statistically imprecise. Thus, future studies of EVAR volume in relation to outcomes must strive to take all important covariates into account, and consider the imprecision of outcome data for low-volume providers. Two studies suggested that the volume effect for OSR was relatively consistent in subgroups of patients with different preoperative risks of death.15, 16 However, studies of EVAR should not assume that any volume-outcome relationship will be constant across subgroups of patients. Arbitrary cutpoints for hospital volume that were associated with lower adjusted mortality ranged from 17 to 100 AAA repairs per year in studies of OSR. Investigators used a variety of measures of volume and mortality and did not attempt to analyze their data to find a threshold(s) for the volume effect. If studies of volume-outcome relationships for EVAR are going to be used by payers or policymakers to define volume thresholds for preferential referral, studies should be designed with standardized measures of volume and outcomes, and the nature of relationships between hospital and physician volume and outcomes needs to be characterized more completely.
Case series focusing on hospital costs generally found that EVAR costs more to perform than OSR, primarily due to the cost of the prosthesis. The high cost of the EVAR prosthesis is partially offset by reduced hospital and intensive care unit length of stay, operating time, and necessity for blood transfusion relative to open surgery. More comprehensive cost analyses noted the higher follow-up costs for EVAR.
None of the Markov cost effectiveness models had accurate data on the complication and reintervention rates associated with EVAR. Although the Michaels et al. study is based on the literature published through September 2004, several case series have come out since then, and data from midterm results of RCTs were not included.17 Results from ongoing RCTs, comparing EVAR and OSR for large AAA and EVAR versus surveillance for small AAA conducted in the United States have not yet been published.
Data from RCTs demonstrate that for small AAA (<5.5 cm) immediate OSR costs more and does not improve survival compared to active surveillance and delayed elective intervention. For large AAA (≥5.5 cm) among patients unfit for OSR, EVAR has both greater short- and long-term costs, does not improve overall survival or quality of life beyond 1 year, and is associated with complications, need for reintervention, and long-term monitoring compared to OSR or no intervention. EVAR is associated with shorter hospital and intensive care unit length of stay, reduced AAA mortality, and lower 30-day morbidity and mortality, compared to OSR.
The cost effectiveness of EVAR relative to OSR varies by whether an institutional or societal perspective was taken. Third party payers and hospitals each formulate their own institutional perspective on costs and effectiveness that depends on the extent and duration of their responsibility for the financing and/or provision of the patient's health care needs. For third party payers such as Medicare, hospital reimbursement levels are determined by a DRG that does not vary by the type of inpatient procedure (EVAR or OSR) or the cost of the prosthesis.
AAA are associated with considerable morbidity, mortality, and health-care costs. Patients with AAA <5.5 cm have an annual risk of rupture of approximately 1 percent. For AAA <5.5 cm in diameter high-quality RCT results demonstrate that active surveillance with ultrasound and delayed OSR (if AAA attains a diameter of ≥5.5 cm or the patient develops aneurysm related symptoms) results in equivalent mortality but lesser morbidity and operative costs due to fewer interventions compared to immediate OSR. There are no RCTs evaluating EVAR in these patients.
Among individuals refusing or medically unfit for OSR the 1-year rupture risk may exceed 10 percent in AAA >6 cm and for AAA of >8 cm, the risk may exceed 25 percent at 6 months. For AAA ≥5.5 cm and suitable for EVAR, high-quality RCTs have been conducted outside the United States and may have used some EVAR devices that are not approved for use in the United States. Their results demonstrate that, compared to OSR, EVAR is associated with lower perioperative morbidity and mortality and persistent reduction in AAA-defined mortality to 4 years, though the latter may be due, at least in part, to ascertainment bias for later term cause of death. EVAR did not improve longer term overall survival or health status and was associated with greater complications, need for reintervention, long-term monitoring, and costs.
For the minority of patients with AAA ≥5.5 cm and judged medically unfit for OSR, one high-quality RCT conducted in the U.K. and with EVAR devices that may not be approved for use in the United States demonstrated that EVAR did not improve survival or health status and costs more than no intervention.
There are no data adequate to estimate the effect of hospital or physician volume on EVAR outcomes and identify a volume threshold for policymakers. A volume outcome relationship for OSR has been shown for surgery prior to the introduction of EVAR, but none since.
The long-term cost effectiveness of EVAR relative to OSR is difficult to determine because there are no long term (>4 year) outcome data from RCT of EVAR versus OSR conducted in the United States using devices approved by the FDA.
Results from nonrandomized trials, case-series, or FDA reports are inadequate to accurately assess the relative effectiveness and safety of treatments for AAA. The highest priority for future research to guide clinical care is to conduct long-term RCTs in the United States to assess whether RCT results of EVAR conducted in Europe apply to U.S. settings. These include EVAR vs. OSR for AAA ≥5.5 cm, EVAR versus active surveillance for AAA <5.5 cm, and EVAR versus no intervention for AAA ≥5.5 cm in patients medically unfit for OSR.
Effective strategies are required to disseminate and implement the findings from published high-quality RCTs to patients, providers, health-care organizations, and payers.
Additional information on the benefits and risks of treatments in women is needed.
Refinements in EVAR devices, technique, and interventionist team are required to reduce complications and need for long-term followup.
Consistent/validated definitions of outcomes including AAA mortality, complications, and need for reintervention are required to assist clinicians, investigators, policymakers, and patients to evaluate relative safety and effectiveness of treatment options. In particular, cause of death ascertainment beyond 30 days or the initial hospitalization is problematic. Reducing ascertainment bias likely requires rigorous adjudication of all death, including use of autopsy and/or post-mortem imaging.
Conduct RCTs to determine whether medical therapy slows AAA enlargement or rupture.
Improve data submission, followup, and cause of death ascertainment in registries.
Improved medical management is needed for patients with large AAA considered as unacceptable surgical risks.
Specific studies of EVAR are needed to characterize the hospital and physician volume-outcome relationship, if any. The validity of methods used to identify and count EVAR procedures should be examined and reported. Studies should measure volume in a consistent manner and focus on outcomes defined in reporting standards including clinical success, continuing success, complications, and return to preprocedure activity levels. Risk adjustment should include patient demographics, comorbidity, morphology of the aneurysm and access vessels, device characteristics, and any other variables that could have a substantial influence on the outcomes under investigation. Rigorously developed and tested regression models and examination of the sensitivity of results to the method of analysis would be useful. Most likely, representative prospective registries will be needed to perform a proper indepth analysis to determine whether and how the volume of endovascular procedures done by hospitals or physicians to repair AAA relate to beneficial or adverse outcomes. Ideally, future studies would strive to characterize the functional form of volume-outcome relationships and explain why they exist. The volume-mortality relationship for OSR of AAA needs to be reexamined in the EVAR era.
Future cost analyses studies should include short- and long-term followup data, either collected prospectively on all patients or incorporated from RCTs into Markov models.
A standardized approach to analyzing costs and effectiveness associated with the two procedures is recommended. Studies should explicitly describe the methods used to calculate costs and should include the following categories: direct medical care costs, institutional overhead costs, patient travel costs, and patients' time and/or lost earnings. The collection of these costs should be carefully itemized and described.
Studies conducting prospective data collection in the United States taking a societal perspective are needed. Where appropriate, data on the patient's time taken off work or other activities to travel and attend medical appointments, whether on an inpatient or outpatient basis, and to obtain prescriptions are needed.
Data on United States patient's Quality of Life (QOL), where the treatment of the QOL associated with lost earnings and death is explicitly stated, should also be collected.
An abnormal bulging of the abdominal aorta, called an abdominal aortic aneurysm (AAA) is a potentially serious condition that can lead to death if it ruptures. An AAA is considered present when the maximum diameter of the aorta below the renal arteries (infrarenal AAA) expands to exceed 3.0 cm. In the United States rupture of AAA accounts for approximately 9,000 deaths annually.1 Another 30,000–40,000 patients undergo elective surgical repair of asymptomatic AAA to prevent rupture, with perioperative mortality ranging from 2–8 percent.2, 3 Death due to AAA rupture or repair is the thirteenth leading cause of death in the U.S. and tenth among older men.4, 5
The majority of AAAs remain asymptomatic for years, though the risk of rupture increases with AAA size. Immediate death can result and mortality remains between 40 and 60 percent, even when emergency care and repair are undertaken. Management options are primarily based on patient's life expectancy and AAA size and include no treatment, active surveillance and delayed repair, immediate open surgical repair (OSR), and endovascular repair (EVAR).
Recent recommendations for AAA screening in high-risk populations along with emerging endovascular methods for repair have led to increased interest in evaluating the effectiveness and adverse effects of treatment options for patients with AAA.
Question 1: What are the comparative effectiveness and adverse effects of treatment options of AAA including active surveillance, open repair, and endovascular repair?
Question 2: What is the relationship of volume, both hospital and physician, to the benefits and harms of endovascular procedures to repair AAA?
Question 3: How do the characteristics of the AAA (size/location/shape) and the patient (age/gender) affect the benefits and harms of EVAR and OSR?
Question 4: What are the costs-benefits for each of the procedures?
The prevalence of AAA found in population-based ultrasound screening studies ranges from 4.2–8.8 percent in men and 0.6–1.4 percent in women.18 Risk factors for AAA include age, history of regular smoking, family history of AAA, coronary artery disease, hypertension, hypercholesterolemia, and cerebrovascular disease. The overall prevalence of AAA greater than 3.0 cm in “never smokers” ranges from less than 0.2 percent in ages 50–54 to nearly 3 percent in ages 75–79. For “ever smokers” the prevalence ranges from approximately 1 percent to 7 percent across these age groups. Smoking status is also a risk factor for AAA mortality. Negative risk factors for AAA prevalence include female gender, diabetes, and black race.
In a study of 73,451 mostly male U.S. veterans ages 50–79 who did not have a history of AAA, 7.1 percent had an AAA defined as an infrarenal aortic diameter of ≥3.0 cm on ultrasound. More than 90 percent of AAA were considered small (<5.5 cm) and only 0.4 percent were ≥6.0 cm. With each 1 cm decrease in diameter, the number of AAA of that diameter or larger more than doubled.19 Most aneurysms noted at autopsy were small and asymptomatic and therefore did not require intervention during the patient's lifetime. However, the natural history of AAA is progressive enlargement. Non-invasive prevention of growth and rupture is primarily limited to smoking cessation and blood pressure control, though the use of aneurysmal pharmacotherapy has recently received attention.20 Because as many as one in three AAA eventually rupture if left untreated18 and only 10 to 25 percent of individuals with ruptured AAAs survive through repair, diagnostic and treatment goals are to identify individuals with AAA and target effective treatments possessing low interventional morbidity towards individuals at high risk of rupture.
A recent report from the U.S. Preventive Services Task Force (USPSTF) addressed screening for AAA.18 The review identified four good or fair quality population-based AAA screening trials; all conducted outside of the U.S. All trials had ORs favoring an association between an invitation to attend screening and a reduction in AAA-related deaths. Pooled analysis of trials showed a reduction for men in AAA-related mortality (OR, 0.57 [CI 0.45 to 0.74]). The 5-year outcomes of AAA screening by smoking history in a cohort of 100,000 men 65–74 years of age demonstrated that 155 AAA deaths could be prevented by screening and elective OSR 138 (89 percent) in “ever smokers.” Meta-analysis of the trials demonstrated a nonsignificant reduction in all-cause mortality (OR, 0.98 [95 percent CI 0.95, 1.02]). The evidence report and the USPSTF concluded that “population screening for AAA in men ages 65–74 years appears to reduce AAA-related mortality. Treatment is associated with significant risks for operative deaths and complications. These risks, however, may be acceptable to men with AAAs greater than 5.5 cm.”18, 21 Additionally, the USPSTF review of four relevant cost-effectiveness studies of AAA screening yielded an estimated cost-effectiveness ratio of population-based screening compared with no screening that was in the range of other cost effective preventive services.22 Recommendations for selected screening are likely to lead to increased AAA detection and intervention, particularly of the more prevalent small AAA. Management of AAA will therefore take on increased importance in the future.
The total volume of elective AAA repairs has increased for both OSR and EVAR.23 Vascular surgeons who repair AAA utilizing both endovascular and open techniques have experienced an increase in aneurysm referrals, while those who have not adopted endovascular skills have seen a decline.24 Practitioners in interventional radiology, cardiovascular surgery, general surgery, and peripheral vascular surgery are receiving training and purchasing the equipment specifically required to perform AAA endografting. These can include attending 1–3 month training courses at a cost of $30,000 and purchasing portable fluoroscopy units that cost approximately $250,000.24
Because the risk of rupture is strongly related to AAA size, management options are generally based on AAA size (small <5.5 cm vs. large ≥5.5 cm) and patient's operative risk (medically fit for OSR versus medically unfit) determined by age and comorbidities. OSR has been considered the gold-standard for prevention of AAA rupture and death. However, it has the mortality risk of major vascular surgery with perioperative complications of about 32 percent including myocardial ischemia, respiratory failure, renal failure, ischemic colitis, spinal cord ischemia and prosthetic graft infection, as well as the cost of this procedure.22 Therefore, management options that would be equally effective in preventing AAA rupture and prolonging survival, with lower morbidity and similar or reduced health care costs, have been sought.
There are no established criteria for determining acceptable medical fitness for OSR. Because risk factors for AAA include smoking, advanced age, and hypertension, individuals considered candidates for OSR frequently are elderly and have multiple comorbidities including cardiac, pulmonary, or renal disease. Decisions about whether a patient is an acceptable OSR or EVAR candidate are determined by the perioperative team and incorporate the severity as well as the presence of comorbidities, AAA morphology, the individual surgeon/medical center threshold for acceptable medical fitness and assessment of whether outcomes vary according to gender, AAA, or device characteristics.
As reviewed by others,25–27 several studies have observed that, on average, in-hospital mortality was inversely associated with the number (volume) of AAA OSR procedures done by hospitals. The mortality appeared to be particularly high for very low volume providers decreasing and eventually leveling off as volume increased. Despite substantial improvement in survival, volume continued to be inversely associated with short-term mortality. In-hospital case fatality rates for OSR in Michigan were reduced from 13.6 percent in 1980 to 5.6 percent in 1990.28 In California, the in-hospital mortality rate decreased from 11.9 percent to 4.5 percent from 1982 to 1994.29 Nevertheless, the volume of procedures done in hospitals continued to be inversely associated with mortality in these studies as was originally observed by Luft et al, who analyzed hospital discharge data from 1974-1975.30
Given repeated findings of a relationship between volume and mortality for OSR, one might hypothesize that a volume-outcome relationship exists for EVAR as well. Like OSR, EVAR is a technically demanding procedure with inherent risks. However, volume-outcome relationships vary by type of procedure and are not found for all procedures.30, 31 Patient selection criteria, technology, operator skills, and processes of care for endovascular repair differ from open surgical procedures and continue to evolve. Different types of physicians, including interventional radiologists with different training and experience, may be involved in endovascular repairs. As demonstrated elsewhere in this report, short-term mortality is less with EVAR compared to OSR.6, 32, 33 Indeed, the 30-day mortality after EVAR now might be less than 2 percent, making it more difficult to detect relationships to hospital or operator volume.
Discussions about cost effectiveness usually begin with a belief that a given approach confers a benefit. The question then is how the cost of achieving that benefit compares to other effects that a similar investment could pay for. Some of the benefits of EVAR appear to occur early in the care process, e.g., fewer complications, reduced hospital length of stay (LOS), etc. Hence they have value primarily where early return to work is crucial. These outcome measures are typically presented as the cost per quality adjusted life year (QALY).
The costs of AAA repair include preoperative costs, hospitalization costs associated with the initial procedure, the costs of the EVAR prosthesis (i.e., graft), and subsequent post operative surveillance, interventions, hospitalizations, and drug treatment. EVAR requires longer term and more intensive monitoring than open repair. OSR of AAA incurs the costs of the surgical team as well as perioperative hospital care. OSR is considered to have greater and more severe early morbidity than EVAR. OSR could result in a longer and more costly length of hospital stay and subsequent greater duration of impaired functional status and quality of life. However, late complications, including rupture, have been rare after open repair. Thus, radiologic, laboratory, and clinician evaluation and costs beyond the perioperative period (approximately 3 months) in the absence of symptoms are minimal.
The main questions in the elective management of AAA are: (1) at what diameter to offer elective repair and (2) do EVAR devices provide a safe and effective treatment option. Additional questions relate to whether outcomes are associated with surgical or medical center volume or OSR or EVAR performed and the relative cost and cost-effectiveness of various options.
We began the review process conferencing with the Agency for Healthcare Research and Quality (AHRQ) and the nominee partner (AHIP) to clarify the project scope and background information. Clinical experts representing areas of vascular surgery, internal medicine, AAA epidemiology, diagnosis and treatment, and systematic review methodology served as members of a technical expert panel (TEP) (Appendix A *.) TEP comments and suggestions clarified the conceptual framework and refined study questions used for the project. Based on our initial conference calls, we developed a comprehensive work plan that covered an assessment and refinement of study questions and proposed literature search and review, inclusion/exclusion criteria, and methods for evaluating the quality of studies and reporting the evidence.
An analytic framework was developed that assessed the key questions. The framework describes the logic chain that should be supported by evidence linking management options for AAA to improved outcomes. It takes the perspective of adults presenting with an asymptomatic AAA based on AAA size (small [<5.5 cm] vs. large [≥5.5 cm]) and patient operative risk (medically fit for surgery vs. medically unfit for surgery).
Question 1. What are the comparative effectiveness and adverse effects of treatment options of AAA including active surveillance, open repair, and endovascular repair?
Periodic surveillance, typically with abdominal ultrasound, has been considered reasonable for those with abdominal aortas measuring 3.0–3.9 cm because their risk of rupture is considered very low. For AAA 4.0–5.4 cm in diameter (small AAA) the question existed of whether immediate OSR, compared to ultrasound surveillance with delayed OSR, improves AAA-related mortality and all-cause mortality. For individuals with an AAA >5.5 cm, immediate OSR has been recommended, provided the patient is considered medically fit for OSR.34
In 1997, prior to widespread adoption of EVAR, there were an estimated 37,000 OSRs of intact AAA in the United States.35 During OSR, a vascular graft, comprised of a non-textile synthetic material or a woven synthetic textile that is usually sealed with collagen, gelatin, or albumin is sutured into the aorta. The proximal anastomosis is an end-to-end type and the distal anastomosis is located on the aortic bifuracation, the iliac bifurcations, or the common femoral arteries. Results from several long-term followup studies of individuals undergoing elective OSR for AAA have indicated that the risk of late complications, including secondary rupture, is quite low. In the absence of symptoms, additional evaluation of patients who received OSR is not typically performed.
However, in-hospital mortality rate for repair of intact AAA found in the National Inpatient Sample of community hospitals was 4.2 percent.4 In-hospital plus 30-day mortality associated with AAA repairs in the elderly fee-for-service Medicare population was estimated to be 5.6 percent in 1999. Because of perioperative mortality and morbidity (which are likely higher in older/sicker patients), individuals who were considered medically unfit for OSR due to comorbidities and/or advanced age previously underwent no attempt to repair the aneurysm. However, the risk of rupture can be as high as 25 percent per year for AAA with diameters greater than 6 cm.36
EVAR consists of the placement of a graft across the aneurysm and fixation to the normal aortic and iliac wall with stents at both ends. Endovascular access is via a transfemoral or transiliac artery approach with the aim of excluding the aneurysm by this graft. The theoretic benefit of EVAR versus OSR is based on the belief that EVAR has lower early morbidity, length of hospital stay, and mortality. Additionally, EVAR may provide long-term effective prevention of AAA rupture, equivalent or increased overall survival, and improved quality of life compared to OSR. These potential benefits of EVAR must be balanced with the need for periodic long-term followup, later-term device failures or complication, need for reinterventions, and costs.
The first report of endoluminal treatment of AAAs in a clinical setting was in 1990.37 By 2001 the estimated number of EVAR in the United States each year exceeded 12,000.38 An estimated 40–80 percent of AAA could be amenable to endovascular grafting based on aneurysm size, morphology, and patient surgical risk characteristics.39, 40
EVAR has involved at least 16 different devices, but only four gained FDA approval and are currently in use in the United States: Cook Incorporated (Zenith); Gore (Excluder); Medtronic (AneuRx); and Endologix (Powerlink). A fifth device, Guidant (Ancure) is no longer available but was used in published reports that are included in this report. Others are, or will soon be, applying for FDA approval including (Talent, Quantum, ENOVUS (formerly Trivascular), and Anaconda).41 Each device has specific criteria and recommendations regarding the anatomic suitability of an individual patient for a particular graft type. However, one published accepted contraindication to EVAR is a proximal infranal neck either shorter than 15 mm or absent. Other anatomic features include excessive vascular tortuosity or angulation, calcification, or circumferential thrombus. None of these criteria are fixed and often vary by center, interventionalist, and device. There are numerous design and delivery issues unique to each device. The details, available on the FDA websites: (Gore Excluder: www.fda.gov/cdrh/mda/docs/P020004.html; Cook Zenith: www.fda.gov/cdrh/MDA/DOCS/p020018.html; Guidant Ancure: www.fda.gov/cdrh/mda/docs/p990017s030.html; Endologix PowerLink: www.fda.gov/cdrh/mda/docs/p040002.html, and Medtronic AneuRx: www.fda.gov/cdrh/pdf/p990020.html), are beyond the scope of this project. However, because certain aneurysm characteristics may be associated with additional patient factors, device selection, and clinical outcomes, it is difficult to accurately assess differential rates of outcomes among graft types.
Typically, EVAR devices are modular and allow modification (including selection of size and configuration) by the surgeon or radiologist at the time of placement based on patient, provider, and aneurysm criteria. The most common configurations of endovascular devices now used in the treatment for AAA are the aortobiiliac and aortouniilliac devices. Early developed aorto-tube grafts are no longer marketed in the United States. The endograft is radio-opaque with prespecified markers to aid positioning under fluoroscopic guidance and subsequent radiologic monitoring. It is composed of fabric or expended polytetrafluroethylene, and metal stents and comes loaded in a delivery system. Under fluoroscopic guidance, this introducer system is fed through the iliac arteries by means of catheters and guidewires until the endograft is positioned correctly at the top and bottom of the aneurysmal segment. Removal of the introducer system allows the fixing devices to attach with hooks, radial force/friction, column stiffness, or other anchors to the aortic wall and hold the graft in place, excluding blood flow from the aneurysm sac and removing pressure from the aneurysm wall.
Imaging guidelines for AAA repair with endovascular stent grafts have been published.42 These include preprocedural, intraprocedural, and postprocedural imaging and are more extensive than recommended for OSR. The details are beyond the scope of this report. However, two imaging modalities have been recommended no more than 6 months prior to the planned procedure in order to 1) detect or confirm, 2) measure AAA, or 3) evaluate the suitability of the patient for EVAR. Additionally, preoperative evaluation is required because during the procedure it may be determined that EVAR is not possible or complications may result, necessitating OSR.
Recommended preprocedure imaging modalities consist of Thin-Cut Helical/Spiral CT Arteriography (CTA) with multiplanar reconstruction and catheter angiography. The goals of intraprocedural imaging are: (1) to guide and document the appropriate placement of the endovascular stent graft and (2) to evaluate the effectiveness of the stent graft in excluding the AAA. Fluoroscopy and catheter angiography have been considered necessary and sufficient in the vast majority of cases. The goals of postprocedural imaging are to (1) confirm and redocument the appropriate placement status of the stent graft, (2) better assess the effectiveness of the stent graft in initially excluding the AAA (detecting flow in the sac), (3) follow the long-term fate and size of the AAA sac and ensure its stability, (4) detect stent graft failure, and (5) better characterize and follow patients with endoleaks. Current imaging modalities include plain films of the abdomen, CTA, and catheter angiography. The first two have been recommended every 6 months for at least 2 years and CTA annually thereafter (or more frequently if symptoms or device related problems develop). Catheter angiography is not recommended if CTA findings are satisfactory. Excellent technical results are initially characterized by a perfectly canalized blood flow and later by a completely retracted aneurysm wall around the endograft. EVAR use has increased, in part because it is postulated to be less invasive than open repair, results in reduced procedural morbidity, mortality, and hospital and other health care costs, while improving health related quality of life and providing equivalent long-term disease-specific and overall survival to OSR.
Additionally, EVAR may alter the threshold for intervention among individuals because EVAR may be considered an effective and relatively safe option compared to (1) surveillance among individuals with small (≥5.5 cm) AAA in whom the risk of rupture was previously considered too low to justify the morbidity of OSR and (2) no treatment for individuals with large AAA who are judged unfit for surgery due to advanced age or coexisting medical conditions and thus have a risk of rupture-related death that is relatively low compared to mortality from OSR.
EVAR has been associated with unique complications not associated with OSR. These can be related to the device, patient, AAA morphology, or interventionalist. Complications unique to EVAR include stent migration, stent wire fracture, metal fatigue, and endoleak. Because of the potential for these complications to arise and cause serious medical problems or require reintervention, long-term monitoring, following EVAR with CTA, is currently standard practice.
| Type | Cause of Perigraft Flow |
|---|---|
| I |
|
| II | Flow from visceral vessel (lumbar, IMA, accessory renal, hypogastric) without attachment site connection |
| III |
|
| IV | Flow from porous fabric (<30 days after graft placement) |
| Endoleak of undefined origin | Flow visualized but source identified |
A literature search was conducted using PubMed®, Cochrane Library, FDA, and other electronic websites from 1990 to October 2005, as well as handsearching of references from retrieved articles and contact with content experts. The following terms were included: abdominal aortic aneurysm, endovascular repair, surveillance, and surgery. Titles and abstracts of identified references were reviewed using standardized data abstraction sheets. The number of excluded studies and reasons for exclusion were noted. Studies meeting preliminary eligibility criteria were retrieved in full for further assessment and data extraction. (See Appendix B * for Exact Search Strings and Appendix C for Lists of Excluded References.) Data extraction forms included information related to study and patient characteristics, interventions, and outcomes.
Studies were eligible if they were randomized controlled trials or natural history studies involving AAA, open repair, endovascular repair, or active surveillance and reported clinically relevant outcomes (Figures 1
Outcomes were described as effectiveness (initial clinical success ≤30 days or during initial hospitalization), short-term (30 days to 6 months), midterm (6 months to 5 years), long term (>5 years), and adverse effects. These were based on recommendations for reporting of outcomes for open and EVAR by the Society for Vascular Surgery.8 The primary outcome was midterm all-cause mortality. Additional clinical outcomes included initial all-cause mortality, AAA mortality, AAA rupture, quality of life, and technical measures of EVAR and OSR success. Adverse events included treatment related mortality and morbidity (graft rupture, migration, and kinking) and need for additional interventions (including OSR). Incidences of endoleaks were also noted. Because data from RCT represent level one evidence, their results were emphasized and reported separately from reports using other study designs. Results from the United States that evaluated EVAR approved and available in the United States were highlighted for nonRCT data.
Quality of studies, reduction of bias, and strength of evidence. The methods of Schulz et al. were used to assess the quality of randomized controlled trials (RCT).7 We determined whether intention-to-treat analysis was utilized, whether results varied by intention-to-treat or per protocol analysis, and whether published RCT used EVAR devices similar to those approved and available in the United States. We evaluated whether effectiveness of interventions varied according to patient, aneurysm, or device characteristics including age, race, gender, EVAR device manufacturer and characteristics (name, tubular, mono or bi-iliac), aneurysm size (small [<5–5.5 cm] vs. large aneurysm) or medical fitness for OSR. Data from nonrandomized studies were included to assess relevance and consistency to practice in the United States. All data were extracted by trained data extractors onto standardized, piloted forms (Appendix D *).
Question 2. What is the relationship of volume, both hospital and physician, to the benefits and harms of endovascular procedures to repair AAA?
History of the relationship between hospital volume and operative mortality for OSR. Volume is believed to be a proxy for one or more structures or processes of care that influence outcomes. However, the structure and processes of care responsible for the volume-outcome relationship in cases of OSR of AAA have not been firmly established. Experience and greater availability of resources in higher volume hospitals could lead to better structure, patient selection, and pre-, intra-, and post-operative processes of care as well as more capable surgeons and support staff. The relationship between hospital volume and survival after OSR of AAA also might depend, in part, on surgeon volume and the type of surgeon (vascular, cardiothoracic, general). Some low-volume providers could perform operations only as necessary or in emergency situations that increase the risk, and a single death could greatly influence the mortality rate of low volume providers.
Conversely, hospitals that somehow achieve better outcomes or those that have a surgeon who specializes in vascular surgery could get more referrals. High volume itself might generate more referrals because information about volume may be more readily available to the community than outcome information. Some providers might be associated with a poor outcome and get fewer referrals. Thus, to some extent, outcome could drive volume rather than vice versa.44, 45 Selective referrals could be augmented by recent policies of purchasers such as the Leapfrog Group who encouraged preferred use of hospitals in urban areas that perform more than 30 repairs of AAA per year in an effort to improve outcomes.46
Policymakers have already used studies of the volume-outcome relationship to set thresholds for preferential referral for OSR. The Leapfrog definition of ‘high’ volume was based on an investigation that was judged to be the single best report in the literature at the time.47 This investigation analyzed 3,419 repairs of unruptured AAA done in 116 Veterans Affairs (VA) hospitals (>99 percent male patients) from 1991-1993.48 Repairs of intact AAA were identified by Patient Management Category algorithms applied to ICD-9-CM codes recorded on discharge abstracts. The validity of this method of case identification wasn't reported. Unadjusted in-hospital mortality was 4.2 ± 3.5 percent in hospitals that performed 32 or more repairs versus 6.7 ± 7.8 percent in hospitals performing fewer than 32 repairs. The basis for selecting 32 as a cutoff was not reported, although it was the mean hospital volume. However, 22 so-called low-volume hospitals had zero mortality in 267 patients. In addition, the published report does not clearly state whether the volume categories were per annum as defined by Leapfrog or over the entire 3-year period of study. Furthermore, many of the operations might have been performed by surgical residents in training. Given these limitations, this study is not adequate for defining a hospital volume threshold for the United States. Investigators only recently demonstrated that hospital volume measured in one time period is related to outcomes in a subsequent period of time.49 The Leapfrog criterion for a high volume hospital has been increased to 50 or more procedures per year.50 It is not clear whether this count includes endovascular procedures to repair of AAA or whether the data used to define this threshold represent a period of time before FDA approval and widespread use of endovascular devices.
Adoption of endovascular procedures to repair AAA. The FDA approved the first devices for EVAR in September 1999. A separate International Classification of Diseases procedure code for EVAR was issued in October 2000. By 2001 approximately 36 percent of the repairs of intact AAA were coded as EVAR procedures in the National Inpatient Sample of 986 non-federal community hospitals in 33 states.51 Those undergoing EVAR rather than OSR tended to be older males with higher prevalence of hypertension and ischemic heart disease and less renal insufficiency or peripheral artery disease.52 Between May 2001 and September 2003 approximately 38 percent of AAA repairs were coded as endovascular procedures in the VA medical centers. Discharge data from 234 accredited hospitals in Illinois indicated that EVAR was used in approximately 32 percent of all (unruptured and ruptured) AAA cases in 2002.53 The proportion of AAA repairs done by EVAR was less in women than men. In-hospital mortality for elective EVAR was 2.3 percent in this series of cases from 1995 to 2003, and higher in women than men (5.1 percent vs. 1.7 percent unadjusted for risk or length of stay).
Hospital discharge data representing non-federal hospitals in New York indicated that 40 percent of all repairs of intact AAA in 2001 were EVAR, increasing to more than 50 percent in 2002.54 There was a corresponding increase of more than 20 percent in the number of hospitals performing EVAR. Compared to patients undergoing OSR, patients having EVAR were older and more likely to have coronary artery disease, hypertension, hyperlipidemia, and diabetes mellitus. In 2002, 60 hospitals in New York performed EVAR. Nearly half did five or fewer procedures, while 12 hospitals did 30 or more. In-hospital mortality rates were 1.9 percent and 0.8 percent respectively. This small difference in mortality was not statistically significant given the relatively small number of hospitals. Furthermore, risk adjustment was not done because the database did not contain patient or physician identifiers, information about the severity of comorbidities, or information about the aneurysms that were repaired.
Rationale for a volume-outcome relationship for endovascular repair of AAA. There is some evidence of a learning curve for EVAR of AAA. One practice at a tertiary facility analyzed 277 consecutive cases treated from 1994 to 1998 and estimated that approximately 55 cases were required before their technical success rate leveled off at 88 percent.55 Custom-made endografts were used in two-thirds of these procedures prior to the availability of commercial bifurcated modular endografts for investigational use in 1997. The surgical team and patient selection criteria remained stable during the period of observation, although it is likely they were not trained to perform EVAR and learned as they were developing new procedures and devices. Thus, their experience should not be extrapolated to current EVAR practices where trained physicians use approved devices with less problematic designs. The same referral practice compared 30 procedures done as part of a clinical trial to 230 cases done after FDA approval of the device. Technical success was achieved in 97 percent and 98 percent of these cases. However, procedural complications such as endoleaks, contrast-induced azotemia, access site hematoma, and limb occlusions increased from 11 percent to 18 percent. The increase in complications was attributed not to poorer proficiency over time, but rather to a greater degree of anatomical and morphological difficulty of the cases being referred and treated after FDA approval.56
European registry data were grouped according to cumulative experience in 93 hospitals from 1994 to 2000. The EVAR procedures (n=2,863) were grouped as the first 11 performed at a center, cases 12–37, 38–91, and 92 and higher. Unadjusted mortality after 30 days was the same (3–4 percent) in all four groups.57 There were differences in smoking status, vascular morphology, and types of devices used in the four groups with initial patients appearing to have greater risk. Co-morbidity was not reported. The adjusted hazard of death during continued followup was lower in quartiles three and four (i.e., after 38 cases) compared to first quartile representing early experience. The adjusted hazard ratio for secondary interventions for endoleaks, migration, kinking, thrombosis, stenosis, and rupture was lower in all other quartiles compared to the most inexperienced case quartile. The amount of bias present in these comparisons due to differences in patient selection and censoring (initial cases followed much longer) is not clear. A more recent report based on this registry suggested that devices for earlier EVAR procedures might explain the influence of experience on midterm outcomes.58 This observation highlights the importance of analyzing data that represent current devices and clinical practices in the United States rather than foreign data on devices that are not being used in the United States.
One should not assume there would be a relationship between EVAR volume and outcome just because there is a learning curve. When development of a new technique is fairly complete, teachers can greatly facilitate learning by experience. Measures of hospital and physician volume typically used in studies are not cumulative counts beginning with initial experience. In fact, volume is often measured during a specified time period ignoring prior experience. Therefore, typical volume measures may reflect a provider's ability to maintain rather than learn skills and effective processes of care. The volume needed to maintain processes of care, skills, and optimal outcomes after a learning curve levels off is not known.
Several randomized controlled trials have required that a certain number of EVAR be done by investigators prior to enrolling patients, but the threshold definitions vary. The EVAR trials required investigator centers to perform at least 20 AAA repair procedures before enrolling patients, whereas investigator teams in the DREAM trial had to have done at least five procedures.12, 59 The Veterans Administration Open Versus Endovascular Repair (OVER) trial requires a vascular surgeon or interventional radiologist who has performed at least 12 endovascular procedures.60 Thus, investigator experience required for participation in clinical trials has varied. The bases for these volume criteria were not reported.
Analytical issues. Outcome measures that are based on a smaller number of cases (i.e., low volume) exhibit greater random variation. One is less confident that the outcome measured for low volume providers represents their true or long-term performance. A minimum number of cases per provider is sometimes required to help assure the outcome measurements aren't too unreliable. Regression analyses that weight data points by their variance can help avoid placing undue emphasis on outcomes measured in low-volume providers. Regression analyses generally assume that the variation in outcome measures is homogeneous across all levels of a predictor, which is generally not true when volume is used to predict outcomes. Data transformation, such as taking the logarithm of outcome measures, might make this assumption more tenable. Furthermore, the influence of each hospital or physician on the estimated volume-outcome relationship estimated by regression analysis should be examined.
Patients treated at the same hospital or by the same surgeon may be more likely to have similar outcomes than if the patients were treated by different providers. Thus, outcomes might not be truly independent of each other as is assumed by regression analyses that use the patient as the unit of analysis. This so-called clustering with hospitals and physicians reduces variation in outcomes compared to what would be observed with truly independent measurements.
General estimating equations can be used to calculate confidence intervals and p-values that take clustering into account.61 This analytical approach is difficult when the outcome data are clustered within more than one variable, e.g., hospital and surgeon volume, and when the size of the clusters, i.e., volume, is correlated with the outcome. In addition, the resulting estimate of relative effects such as an odds ratio is an aggregate or population averaged estimate specific to the mix of clusters in the analysis. Alternatively, random-effects regression models that consider clusters, i.e., hospitals or surgeons, as random variables can account for clustering in the data. Small clusters (low-volume providers) can complicate this approach. Clustering within surgeons and hospitals could be analyzed by hierarchical random-effects models if surgeons don't operate at more than one hospital. If a surgeon(s) represents most of the volume at a hospital, the surgeon and hospital volume will be redundant measures, making it difficult to estimate their separate effects on outcomes. Thus, different methods of analysis of the same data might not produce the same estimate of the effects of volume on outcomes. The method of analysis is an important consideration when comparing studies. Multiple methods of analysis could be employed to see if the results are sensitive to the method of analysis.
The adequacy of risk adjustment is questionable in retrospective studies of databases that did not prospectively collect data on known risk factors. Known risk factors for operative mortality for AAA repairs include the urgency of the operation, presence and severity of renal dysfunction, ischemic heart disease and its treatment with beta-adrenergic blockers and statins, heart failure and chronic obstructive pulmonary disease, advanced age, being female, and several characteristics of the aneurysm such as its diameter and juxtarenal position.52, 62 Unmeasured risk factors could be particularly important for low-volume providers. One unrecognized high risk case can greatly affect the outcomes, and if the variable that made the case high risk wasn't measured, the increased risk would not be controlled. Omission of influential covariates can bias estimates of volume-outcome relationships even if they are balanced across groups. Thus, it is important to examine the risk factors that were taken into consideration in analyses.
All studies of the relationship between provider volumes and outcomes used regression models to analyze the data. Therefore, it is important to know how well the model fits the data and how well the model discriminated the outcomes, such as death or survival. A model with poor discrimination suggests that key risk factors were not measured, hence controlled, in the analysis. The c-statistic is commonly used to examine model discrimination. A c-statistic equal to 1 indicates perfect discrimination whereas a value of 0.5 indicates the model was no better than random predictions of outcomes.
The MEDLINE® database was searched for publications about volume-outcome relationships for procedures to repair AAA that were published after 1990 when endovascular procedures for repair of AAA became available, at least to investigators. Key words included abdominal aortic aneurysm, volume, outcome, and process assessment health care. Reference lists were searched for additional reports (Figure 2
Articles that met the following criteria were reviewed to summarize study methods and characterize volume-outcome relationships.
The report had to be an original analysis of data representing repair of unruptured AAA in the endovascular era beginning in 1990.
The report had to represent practices in the United States.
The sample had to represent variation between hospitals or surgeons in a community or larger geographic area, thereby excluding single site cases series.
The report had to present sample statistics (e.g., percentages, odds ratios) representing the relationship between a measure of hospital or physician volume and any good or bad outcome associated with AAA repair.
The analysis had to attempt to make adjustments for known risk factors in an effort to reduce bias.
Health care systems, physician training, clinical care processes, and procedures to repair AAA have evolved, thus older and foreign data might not represent current practices or outcomes in the United States. Since health care practices including patient selection criteria, referral patterns, and types of devices sold outside the United States could differ from the U.S. in important ways, this review was restricted to studies within the U.S. This restriction corresponds with the presumed interests of U.S. insurance companies that requested this evidence review. Furthermore, inclusion of foreign studies would not address the limitations of U.S. studies, would create concern about extrapolating foreign results to the United States, and would not alter the conclusions of this review. More recent recommendations in the United States to seek out higher volume hospitals could be altering the volume-outcome relationships. In addition, adoption of EVAR in recent years most likely has altered the characteristics of cases being surgically repaired, and perhaps the volume-outcome relationship. This review focused on available data that represented practices and outcomes in the United States in the 1990s and beyond.
All published analyses regressed an outcome of AAA on retrospectively defined volume measures. A single unblinded reviewer abstracted information from each study to characterize (1) the study population including the time period and geographical region, (2) volume measures, (3) outcome measures, (4) regression model including covariates used for risk adjustment and handling of clustering of patients within hospitals or surgeons, and (5) adjusted and unadjusted estimates of volume effects.
The preponderance of evidence for relationships between the volume of procedures performed by hospitals and physicians to repair AAA and outcomes has been obtained by secondary regression analysis of administrative databases. Methodological differences make it difficult to compare results from the different studies. For example, investigators defined hospital and physician volume in a variety of ways, often using arbitrary categorizations with varying reference groups. Use of variables to control for pre-procedure risk (case-mix), physician training, and health care system attributes varied. Analytical methods varied as well. Therefore, we did not attempt to do a meta-analysis to combine estimates from different studies. This review was limited to tabulation of individual study characteristics and results.
Question 3: How do the characteristics of the aneurysm (size/location/shape) and the patient (age/gender) affect the benefits and harms of endovascular and open-surgical repair?
It is not known whether patient, aneurysm, provider, or device characteristics differentially affect treatment success rates. As discussed above, patient factors including age, gender, and comorbidities may not only affect the prevalence and size of AAA but also the risk of AAA rupture and/or operative/EVAR related complications. As noted in Question 1, AAA morphology including size, vascular angulation, size of the aortic neck, and/or involvement of renal or iliac vessels may alter the feasibility of repair options and influence outcomes.
Data regarding study, patient, and device characteristics, as well as outcomes, were extracted. Outcomes were described as effectiveness (initial clinical success ≤30 days or during initial hospitalization); short-term (30 days to 6 months), midterm (6 months to 5 years), and long-term (>5 years); and adverse effects based on recommendations for reporting of outcomes for open and EVAR by the Society for Vascular Surgery.8 The primary outcome was midterm all-cause mortality. Additional outcomes included initial all-cause mortality, AAA mortality, AAA rupture, quality of life, and technical measures of EVAR, and OSR success. Adverse events included treatment related mortality and morbidity including endoleaks, graft rupture, migration, kinking, and need for additional interventions, including OSR. Specific characteristics of AAA and patient included: 1) AAA size (small <5.5 cm; large ≥5.5 cm), shape (sacular vs. fusiform), extension (into iliacs); 2) patient age (<65 vs. ≥65), race (White, Black, Hispanic, other); gender; and 3) device manufacturer and type.
Quality of studies, reduction of bias, and strength of evidence. We used the methods of Schulz et al. to assess the quality of RCT.7 We attempted to assess whether the effectiveness of interventions varied according to patient, aneurysm, or device characteristics including age, race, gender, EVAR device manufacturer, aneurysm size (<5.5 cm vs. ≥5.5 cm), or aneurysm location. No study quality measures were used for manufacturer submitted data available on the FDA website. We described how patients, AAA, EVAR characteristics, and outcomes compare with those from RCT.
Question 4: What are the costs-benefits for each of the procedures?
From the perspective of cost, different audiences have different concerns. Traditional economic analysis focuses on the cost to the economy of delivering each element of service. However, policy makers may be more interested in the payments they must underwrite than in the economic cost of a procedure. These costs vary somewhat depending on the health care system. For example, in the United States, where Medicare pays for hospital care using a DRG payment approach, differences in the costs of the prosthesis/graft or even in lengths of stay are irrelevant for Medicare because they are all folded into the overall rate paid. However, those differences are very salient to hospitals that must bear them. Likewise in the United Kingdom, working under the National Health System, issues of hospital efficiency are quite important.
The analysis becomes even more complex if a differential survival rate exists across treatments. Unless the results can be expressed in terms like QALYs, which capture both quality of life and survival, the estimated benefit may be exaggerated by comparing quality of life only among survivors.
The classic approach would be to estimate the difference in outcomes across treatments and then divide that by the difference in costs. However, in the case of AAA repair, the outcomes seem to be generally equivalent over the long term. The real difference lies in the short term.
EVAR is considered less invasive and may result in shorter in-hospital and intensive care unit length of stay compared with open repair. However, there are additional costs associated with EVAR. These include the high costs the stent device (which has accounted for over 50 percent of the total in hospital EVAR costs in one analysis) diagnostic cost, primarily because of increased imaging costs with EVAR, and professional fees.64 Pre and intraprocedural imaging are more extensive with EVAR than open repair. Because of the concern related to EVAR complications or failures, long term radiologic monitoring is required. The complexities of and recommendations for conducting cost-effectiveness analyses comparing treatment options for AAA have been described.22, 65
We adopted the search strategy used by the AHRQ report on AAA screening.22 Our search was conducted within MEDLINE®. Key search terms included abdominal aortic aneurysm combined with economics, nursing economics, pharmaceutical economics, cost, pharmacoeconomics, cost analysis, cost allocation, cost-benefit analysis, cost control, cost savings, cost of illness, cost sharing, “deductibles and coinsurance,” medical savings accounts, health care costs, direct service costs, drug costs, employer health costs, hospital costs, health expenditures, capital expenditures, hospital economics, hospital charges, hospital costs, medical economics, or medical fees. We focused on studies reporting on the cost associated with either procedure, EVAR, OSR, or both. This strategy yielded 27 articles published between 2000 and 2005. Six of these studies were eliminated from the analyses as they contained less than 50 patients in either arm of the study (i.e., EVAR or OSR).66–71 Of the remaining 21 articles, 12 reported on a comparative analysis of EVAR and OSR, two reported on EVAR and Conservative Management (CM) (one of which also reported on EVAR and OSR), three on EVAR only, two on OSR and CM, and three on OSR only (Figure 4
Question 1: What are the comparative effectiveness and adverse effects of treatment options of AAA including active surveillance, open repair, and endovascular repair?
Observational studies have assessed the rupture rate of AAA according to diameter and other risk factors among patients followed by surveillance. The results of seven recent studies that assessed the average rate of enlargement and risk of rupture of AAA according to initial or attained size are summarized. Studies were selected, in part, because they represent patients with AAA size or medical conditions where the decision for early intervention is controversial (e.g., small AAA (<5.5 cm) or patients with large AAA (≥5.5) but considered medically unfit for OSR). For individuals with large AAA that are considered OSR candidates, the more relevant question is not based on rupture rate in the absence of intervention but rather on the comparative effectiveness of EVAR vs. OSR. Estimates for AAA rupture or enlargement in an individual may be more variable than the average estimates obtained from these studies.
A population-based study of residents of Rochester, Minnesota, with AAA documented by ultrasound reported on enlargement rate and risk of rupture. Of 181 patients, 103 had more than one ultrasound. The diameter of the AAA increased by a median of 0.21 cm/year. The risk of rupture over 5 years was 0 percent for the 130 patients with an initial AAA <5 cm in diameter and 25 percent for the 46 patients with AAA ≥5 cm.72 Among variables examined, including age and sex, only the size of the AAA at initial ultrasound was associated with subsequent rupture. A 1 cm larger initial diameter was associated with an approximately 50 percent increase in the adjusted rupture risk. There was no significant association with risk of rupture in relation to the rate of change in size, though the confidence intervals were wide.
An evaluation of 166 patients with small AAA detected by screening reported an annual rupture rate of 0.7 percent for AAA of 3.0 to 4.4 cm and 1.7 percent for AAA 4.5 to 4.9 cm. 73 When patients who underwent elective OSR due to growth rate or attained size were included, the risk of rupture or elective OSR was 2.1 percent and 10.2 percent respectively. An additional report demonstrated that the risk of rupture was very low (2 of 256 patients per year) for AAA <5 cm, even if they grew 1.0 cm or greater per year.74
Three studies9, 75, 76 used results from patients recruited for RCTs of immediate OSR versus active surveillance and delayed OSR of small AAA to determine the rate of, and risk factors for, rupture of AAA under surveillance. A cohort of 2,257 adults was comprised of patients enrolled in the UKSAT and the associated study for patients ineligible or refusing randomization. After 3 years the annual rate of AAA rupture was 2.2 percent. The risk of rupture was associated with female gender, larger AAA diameter, mean blood pressure, and current smoking. Additional analyses assessed the risk of rupture and last known or estimated AAA diameter categorized as ≤3.9 cm, 4.0 to 4.9 cm, 5.0 to 5.9 cm and ≥6.0 cm. The number of ruptures per 100 patient-years increased from 0.3 for AAA <3.9 cm to 1.5 for AAA 4.0 to 4.9 cm and 6.5 for AAA 5.0 to 5.9 cm. Individuals with AAA ≥6.0 had few person-years of followup because most underwent OSR. The mean diameter preceding rupture was smaller in women (5.0 ± 0.8 cm) than men (6.0 ± 1.4 cm; p = 0.001). In the surveillance group of UKSAT, the median aneurysm growth rate was 0.33 cm per year (Inter Quartile Range of 0.20–0.53).
In the surveillance arm of the ADAM trial, the rate of rupture was 0.7 percent per year. Of these ruptures, two were incidental findings at the time of elective repair. Median rate of increase in diameter according to first and last Computed Tomography (CT) readings was 0.32 cm per year (interquartile range = 0.16 to 0.42 cm). The only significant predictor of increased rate of enlargement was a larger initial diameter and the absence of diabetes.9
The expansion rates and outcomes for men with very small AAA (3.0 cm to 3.9 cm) found by ultrasound scanning were assessed at five VA Medical Centers participating in the ADAM trial.76 More than 90 days after the initial screening 790 men had AAA meeting the eligibility diameter and had at least one repeat ultrasound scan. The average followup period was 3.9 years, mean AAA size = 3.3 cm and the median expansion rate = 0.11 cm/year. No expansion was observed in 25 percent of patients and moderate expansion (defined as >0.4 cm/year) was noted in 8.9 percent of the overall group. There were no reported AAA ruptures during the study period. However, the cause of death was available in only 43 percent of patients. Therefore, misclassification or lack of assessment could lead to underreporting of AAA rupture and death. In patients with initial AAA of 3.0 to 3.4 cm, only 23 of 578 (4 percent) had expansion to ≥5 cm and 1.2 percent had OSR. Among 212 men with an AAA of 3.5 to 3.9 cm, 14 percent had expansion to ≥5 cm and 6.6 percent had OSR.
The risk of rupture of large AAA has been poorly understood because most patients with AAA ≥5.5 cm undergo early elective repair. Three studies provided information on patients with large AAA who were considered unfit for OSR or refused OSR. In 1998 Jones reported on rupture rates in a cohort of patients with a large AAA considered unfit for OSR.77 The annual rupture rate was 12 percent for AAA of 5.0 to 5.9 cm and 14 percent for AAA ≥6 cm.
Lederle and colleagues reported on the rupture rate of large AAA (mean = 6.6 cm) in a cohort of 198 veterans who refused or were considered unfit for elective OSR.36 Outcome ascertainment was complete for all patients (almost all men) with a 46 percent autopsy rate among the 112 patients who died; 40.2 percent had a probable AAA rupture. The 1-year incidence of probable rupture by initial AAA diameter was 9.4 percent for AAA of 5.5 to 5.9 cm, 10.2 percent for AAA of 6.0 to 6.9 cm, and 32.5 percent for AAA ≥7.0 cm. Among patients who attained an AAA diameter exceeding 8.0 cm, 25.7 percent ruptured within 6 months. In multivariate analysis diameter of the AAA was the strongest predictor of rupture (RR = 1.39 per 1 cm). The median rate of change in AAA diameter was 0.43 cm per year. In multivariate models the rate of change was a nearly significant predictor of probable rupture when last measurement of AAA diameter was also included (RR per 0.1 cm per year = 1.07; 95 percent CI, 0.99–1.15).
The EVAR-2 study was a RCT comparing EVAR to no intervention in 338 patients ≥60 years of age with AAA >5.5 cm and considered medically unfit for OSR. Patients enrolled in the no intervention arm (n=172, though 27 percent underwent intervention to exclude the AAA, including 12 cases of OSR) provide information regarding rupture rates in medically unfit patients at a median followup of 2.4 years. Mean AAA diameter was 6.3 cm. Crude rupture rate in the no intervention group was 9.0 per 100 person years (95 percent CI 6.0–13.5) with a median time to rupture of 98 days. The rupture rate was lower than in the report by Lederle.36 Overall, 33 percent of patients died, with mortality attributed to AAA rupture occurring in 12 percent.
In summary, the strongest known predictor of rupture is initial or attained AAA diameter. The rate of enlargement has not been consistently independently associated with rupture rates. Evaluating rupture rates based on size or enlargement is complicated by the fact that many patients with larger or more rapidly enlarging AAA receive elective intervention in the absence of symptoms due to concern of rupture and subsequent poor outcomes.
The annual risk of rupture is 1 percent or lower for AAA less than 5.5 cm. These individuals are very unlikely to benefit from elective interventions even if there is low operative morbidity. The 1-year risk of rupture increases with AAA size and may exceed 10 percent in individuals with AAA >6 cm who are judged medically unfit for OSR. AAA of this diameter comprise fewer than 1 percent of AAA detected in screening programs. For AAA that attain a size of >8.0 cm, the risk may exceed 25 percent at 6 months. Based on estimates of rupture risk in the absence of intervention, the potential risks and benefits of early OSR or EVAR can be weighed.
Two randomized trials (n=2,226), one in the United States and the other in the United Kingdom, assessed whether immediate elective OSR decreases AAA and overall mortality for patients with small AAA (4.0–5.5 cm), compared to active surveillance with OSR delayed for prespecified AAA conditions: ADAM9 and the UKSAT.10 Both studies had similar eligibility requirements and criteria for intervention in the active surveillance group. An RCT conducted in Canada was ended prematurely due to inadequate recruitment and reported no outcomes.
Two trials evaluating early EVAR compared with surveillance have begun recruitment. The Positive Impact of endo Vascular Options for Treating Aneurysms earLy (PIVOTAL), a multi-center randomized trial, is scheduled to enroll 1,700 patients with AAA 5.0 cm or less in diameter.78 The Comparison of surveillance versus Aortic Endografting for Small Aneurysm Repair (CAESAR) trial has a target enrollment of 740 patients with AAA between 4.1 and 5.4 cm.79
Enrolled patients were ages 50 to 79 years with a mean age of 68 and a baseline mean AAA diameter by CT scan of 4.7 cm. Comorbid conditions included hypertension (56 percent), coronary artery disease (42 percent), and diabetes (10 percent). Past or current smoking status was greater than 90 percent. Patients were overwhelmingly male and white race.
UKSAT randomized 1,090 out of 1,276 eligible patients with non-tender infrarenal AAA between 4.0 to 5.5 cm. Patients fit for elective OSR were randomly assigned to early OSR (n=563) or ultrasonographic surveillance (n=527). OSR in the surveillance group was recommended if patients met the following criteria: (1) AAA exceeded 5.5 cm in diameter; (2) enlargement of AAA >1.0 cm per year; (3) AAA became tender; or (4) iliac or thoracic repair of an aneurysm was needed. Patients had a mean age of 69 years (range 60 to 76) and a mean AAA diameter of 4.6 cm. The majority of patients were male (83 percent) and 37 percent were current smokers. Hypertension was prevalent in 38 percent, ischemic heart disease in 40 percent. Over 90 percent of patients had a history of tobacco use with 37 percent still smoking.
The mean duration of followup was 4.9 years for ADAM and 4.6 years for the initial report of the UKSAT. Additional analysis of the UKSAT provided results at a mean followup duration of 8 years (range 6–10). In both trials approximately 60 percent of patients randomized to active surveillance underwent OSR sometime during the trial. The vast majority of delayed OSR were because AAA achieved predetermined criteria; typically AAA size >5.5 cm. In ADAM, AAA repair was performed in 93 percent of patients in the immediate OSR group, 72 percent within 6 weeks after randomization. In the active surveillance group, 62 percent of patients in the surveillance group had undergone AAA OSR by the end of the trial, and 9 percent were performed despite the fact that participants did not meet study criteria for OSR. Rate of repair in the surveillance group increased with the size of the aneurysm at baseline. Four years after randomization, 27 percent of AAA that had measured 4.0 to 4.4 cm at baseline had OSR as compared with 81 percent of those with baseline AAA 5.0 to 5.4 cm.
In UKSAT, 92 percent assigned to early repair had undergone OSR by the end of the trial and 87 percent within 5 months of randomization. Within the surveillance group, 62 percent had undergone repair, (82 percent of all delayed OSR were done according to protocol). The median time to surgery was 2.9 years. At the 8 year mean followup period, an additional 1 percent in the early repair group and 12 percent in the surveillance group had AAA repair. Treatment between the initial and longer followup report did not necessarily adhere to protocol. Approximately one of five patients in the surveillance group (105 of 527) died without undergoing AAA repair.
All-cause mortality. Early/immediate OSR of AAA did not significantly reduce all-cause mortality compared with surveillance in either trial. After a mean followup of approximately 5 years, 27 percent of patients randomized to early OSR had died compared with 25 percent of the surveillance and delayed OSR group. Comparing immediate OSR to surveillance, the RR of death in the ADAM trial was 1.21 [95 percent CI 0.95 to 1.54] and the HR for the UKSAT was 0.94 [95 percent CI 0.75 to 1.17, p=0.56]. After a mean followup of 8 years, the adjusted hazard ratio was 0.83 [95 percent CI 0.69 to 1.00; p <0.05] with an estimated 7.1 and 8.3 deaths per 100 patient years for the early repair and surveillance groups, respectively.
In ADAM, 0.4 percent in the immediate OSR group and 1.9 percent in the surveillance group had AAA rupture. UKSAT assessed AAA rupture and death from OSR. The latter was defined as occurring within 14 days of OSR. The total rupture rate was 1.6 percent per year in the first 5 years of followup and 3.2 percent per year in the subsequent 3 years. Four percent of patients (8 percent of all deaths) in the surveillance group study died due to ruptured AAA compared to 1.8 percent (4 percent of all deaths) in the early OSR group after 8 years of followup.
Aneurysm related mortality in UKSAT, defined as deaths due to ruptured AAA, secondary AAA rupture, or AAA repair accounted for 19.3 percent vs. 15.3 percent of all deaths in the surveillance and early OSR groups respectively. Death associated with aneurysm-related disorders following OSR occurred in 19 patients, 15 in the surveillance group compared to four in the early repair group (p <0.001). Of these 19 deaths, three resulted from secondary AAA rupture, four from aortoduodenal fistula, and 12 from a ruptured thoracic aortic aneurysm. The risk of rupture was four times as high among women as among men. Additionally, fatal ruptures were more common in women than men; resulting in 14 percent of deaths for women versus 5 percent of deaths for men (p = 0.001). However, deaths for women from any cause were similar in the two treatment groups (8.4 percent versus 7.3 percent respectively; p = 0.99).
Operative and in-hospital mortality. The age and sex adjusted 30-day and in-hospital operative mortality did not differ in either the UKSAT or ADAM trial between patients receiving immediate OSR or those initially managed with surveillance but receiving delayed OSR. In UKSAT the 30 day operative mortality was 5.8 percent in the early repair group versus 7.1 percent in the group initially managed with surveillance (p = 0.30). In-hospital mortality was 5.8 percent and 7.2 percent respectively. Direct comparisons of these percents should be done cautiously because of differences between groups at the time of surgery in terms of age, aneurysm size, and number of tender or ruptured AAA at the time of OSR. In the ADAM study both the 30-day and in-hospital mortality were below 3 percent in the immediate OSR group and the surveillance group. Thus the finding in ADAM of no survival benefit with early OSR was found despite a low total operate mortality in the immediate repair group.
AAA-related hospitalizations (besides those for the elective OSR) occurred more than twice as often for patients undergoing immediate OSR (44.8 percent) versus those randomized to surveillance (22.7 percent). Major complications of OSR with no operative death of unruptured AAA occurred in 4.5 percent of immediate repair patients and 7.6 percent of patients in surveillance who underwent delayed OSR. More than 50 percent of patients in either group who underwent OSR experienced “any complication.” Rehospitalizations for complications were slightly higher for early OSR versus surveillance (20.5 percent versus 16.5 percent). Late graft failure occurred in less than 0.5 percent of patients in either arm.
After nearly 5 years of followup, there were 25 and 14 total ruptures in UKSAT and ADAM, respectively. In ADAM, there were 12 ruptures in the surveillance group, resulting in eight deaths, yielding a rupture rate of 0.7 percent per year of followup of unrepaired aneurysms. The mean risk of rupture in the UKSAT study was 1.0 percent per year. The rate of aneurysm enlargement was 0.32 cm (interquartile range (IQR) 0.16 to 0.42) and 0.33 cm (IQR 0.20 to 0.53) per year for the ADAM and UKSAT surveillance groups, respectively. After 8 years of followup, UKSAT assessed total rupture rates (including AAA ≥5.5 cm and non-fatal ruptures) for two time periods. The total rupture up to the end of the trial was 1.6 percent per year and during the final 3 years of followup the rate was 3.2 percent per year (p = 0.008).
UKSAT investigators assessed risk factors associated with AAA rupture in 2,257 patients enrolled in the UKSAT or an associated study who were kept under ultrasound surveillance (data not shown in tables).75 In addition to UKSAT participants, eligible patients analyzed had aortic diameter <4.0 cm (n=507), or ≥5.5 cm (n=100), refused randomization (n=122), were considered unfit for surgery (n=340), or other reasons (n=98). Ninety-eight percent of patients had initial aneurysm diameters between 3–6 cm. Three-quarters of the ruptures occurred in patients with AAA ≥5 cm in diameter. After 3 years of followup, the annual rate of AAA rupture was 2.2 percent (95 percent CI = 1.7 to 2.8). The risk of rupture was associated with female sex, larger initial aneurysm diameter, current smoking, and higher mean blood pressure. Women had a threefold higher risk of aneurysm rupture than men. Crude rupture rate in women was 4.6 per 100 person years vs. 2.0 per 1,000 person years in men.
Three RCTs that enrolled patients with AAA ≥5.5 cm and considered medically fit for OSR have been completed.11–13 None were conducted in the United States. EVAR devices used may not have been approved for, or are currently in use, in the U.S. Two of the trials, British Endovascular Aneurysm Repair-1 (EVAR-1) and DREAM, recently published midterm (2–4 year) results. EVAR-1 and DREAM report on procedures performed from 1999-2003. The Cuyper's trial objective was to compare cardiac response after EVAR and OSR. Cardiac complications in both groups were assessed up to 1 month postoperatively, and no long-term outcomes were reported. Two additional trials are undergoing recruitment, the Open Versus Endovascular Repair (OVER) in the U.S. and the AnEVARysme de l'aorte abdominal: Chirurgie versus Endoprothese (ACE) project in France. OVER has a recruitment goal of 900 and ACE is planning on enrolling 600 patients. The VA OVER trial will compare procedures done from 2002 to 2007. OVER is unique in that the specific device the patient will receive if randomized to EVAR will be recorded before randomization, thus allowing for subgroup analysis by EVAR compared with randomized controls for that graft. OVER will include a cost-effectiveness analysis of U.S. utilization and costs.
Eligible patients had to be candidates for either OSR or EVAR based on aneurysm size (at least 5.0 cm) and anatomy as well as surgical risk. Over 90 percent of enrollees were male with an average age of approximately 70 years. Mean AAA diameter ranged from 5.4 cm in the small study by Cuypers to 6.5 cm in EVAR-1. More than 40 percent had a history of cardiac disease, 10–16 percent had diabetes, and the majority a history of tobacco use. All studies reported analyses comparing groups by intention-to-treat. EVAR-1 reported “per protocol” results.
DREAM reported more severe or moderate systemic operative complications for the OSR group, 26.4 percent versus 11.7 percent for EVAR, an absolute risk reduction of 15 percent [95 percent CI -23 to -7]. A higher rate of pulmonary complications in the OSR group accounted for the majority of this difference. There were significantly more local vascular or implant related complications in the EVAR group, 16.4 percent compared with 8.6 percent for the OSR group (RR = 1.90, 95 percent CI 1.05 to 3.43). In addition, there were three conversions to OSR.
Secondary intervention occurred in 9.8 percent of the EVAR group during primary admission in EVAR-1, including ten conversions to OSR and 18 endoleak corrections. The OSR group had 5.8 percent secondary interventions during initial admission, half for re-exploration of OSR.
In DREAM the rate of survival free of moderate or severe complications was similar in the two groups at two years (65.6 percent [EVAR] versus 65.9 percent [OSR]). No details on specific adverse events, including graft complications were reported. No documented postoperative AAA ruptures were reported, although there was one possible but unconfirmed case.12
Patient preferences. There are few data to accurately determine patient treatment preferences according to age, race, AAA size, and comorbid conditions. Determining patient preference by rates or volume of a given procedure is subject to influences by provider or industry. We looked at registries of patients screened for participation in RCTs of OSR versus surveillance and delayed OSR for AAA <5.5 cm, EVAR versus OSR for patients judged medically fit for OSR who have AAA ≥5.5 cm, and EVAR versus no intervention among individuals judged medically unfit for OSR who have AAA ≥5.5 cm. Estimating preferences by these methods is difficult because preferences are not known among patients refusing to be considered for enrollment. Additionally, in the two countries conducting EVAR trials, EVAR outside the RCT setting was limited. Patient willingness to participate in and receive EVAR may have been influenced by the opportunity to be treated with otherwise unavailable technology.
Among patients with small AAA and eligible for UKSAT randomization to early OSR or ultrasonographic surveillance, 14 percent refused randomization (reasons not stated). Among those randomized to early OSR 2.3 percent refused surgery. Among those randomized to ultrasonographic screening and delayed OSR 7.2 percent had OSR against protocol. In the ADAM study 2 percent eligible patients refused randomization. In the surveillance group, 9 percent had procedures performed despite the fact that the AAA did not meet criteria for OSR
In DREAM, one percent declined to undergo AAA repair. One patient assigned to OSR crossed over to EVAR. In EVAR-1, 24 percent eligible and offered randomization refused randomization. Stated treatment preferences among those refusing included EVAR (32 percent), OSR (60 percent), no intervention (8 percent), and unknown (2 percent).
Patients who were eligible but refused entry into EVAR-2 were evenly divided between preference for EVAR and no intervention. Eight percent assigned to no intervention subsequently received intervention due to patient preference. Only one patient assigned to EVAR refused. How RCT results will influence preferences in the U.S. is not known.
The evidence of the effectiveness and adverse effects of EVAR from sources other than RCTs is based primarily on an update of a recently published systematic review by Drury (http://www.nice.org.uk/pdf/ip/AAA%20stent%20review%20body%20report%20for%20web.pdf.6 The authors included 47 studies published between 2000 and early 2004 (n=19,160, ranging from 46 to 4,613), including one RCT,11 nine nonrandomized controlled trials (NRCTs) in comparison to OSR,54, 83–90 16 comparative (two or more subgroups undergoing EVAR) observational studies,56, 91–105 and 21 case series.57, 106–125 Studies were excluded if they were case series with fewer than 50 patients, not primary studies, assessed ruptured AAA, had insufficient outcomes of interest, or more recent or relevant publications were available. We verified or corrected results from their included studies, summarized findings, updated with data from two recently published national registries, Lifeline (conducted in the U.S., n=2,664)126 and RETA (n=1,000)127 and information available on the FDA website from device-specific data. Additionally, we provide information from a post-hoc defined “high-risk subgroup” of patients enrolled in these five mutlicenter investigational device exemption clinical trials leading to FDA approval.14 Discussion of results from this report are provided under Key Question 3.
Studies were included if the intervention was EVAR, included adults with asymptomatic infrarenal AAA undergoing elective intervention, and assessed clinical outcomes related to efficacy/safety of EVAR. Patients with thoracic and thoraco-abdominal aneurysms and symptomatic or ruptured aneurysms were excluded. Main clinical outcomes included EVAR deployment success, primary and 30-day technical success, aneurysm rupture following successful EVAR, conversion rates (primary and secondary), and secondary interventions. Complications of EVAR were assessed by the frequency of technical problems (stent/graft complications and endoleaks) and major adverse events including 30-day mortality.
Mean ages of the study participants ranged from 65 to 76 years and mean followup times ranged from 7 to 36 months for the studies reporting these variables. AAA diameter ranged from 5 to 7 cm with a mean of 5.8 cm. The average AAA size would be classified as “large.” Over 70 percent of studies had a mean followup of at least 12 months, seven with 24 months. Mean followup was not reported in 12 studies. Nearly 90 percent of patients were men. Most had coexisting medical conditions including diabetes (14 percent), hypertension (54 percent), coronary artery disease (59 percent), tobacco use (67 percent), and chronic obstructive pulmonary disease (35 percent).
The methodological quality of included studies reported varied considerably. Reported limitations included lack of detail regarding inclusion/exclusion of study participants, description of dropouts or patients lost to followup, operator experience, and blinding of outcomes assessors. Furthermore, because these studies were not randomized trials, it is not possible to make definitive statements about the relative effectiveness or adverse effects of different endografts. Generally, statistical analyses of study outcomes were not adjusted for confounding factors. The majority of the included studies did not provide a source of funding. Funding was provided by device manufacturers (eight studies),87, 94, 95, 99, 104, 105, 108, 123 and the U.S. government in one.116
Nine studies (n=8,772) including the four clinical trials comprising Lifeline, reported incidence of early AAA rupture, defined as occurring within 30 days or less following EVAR. The rupture rate was 0.2 percent (16 events) and ranged from 0 percent to 1.6 percent. Delayed rupture, occurring after 30 days postoperatively, was reported in 18 studies (n=9,720). The percent of delayed rupture following EVAR was 0.5 percent during mean followup times ranging from 7 to 72 months. In the device-specific studies, early and late ruptures were reported only for AneuRx device, three (0.3 percent) and ten (0.84 percent), respectively.124
Primary conversion is defined as conversion to OSR immediately after a failed EVAR procedure. Primary conversion results were reported in 18 studies (n=10,832) including the four clinical trials comprising Lifeline. The overall percentage of patients converting to OSR was 2.2 percent and ranged from 0 to 10 percent. In the device-specific trials, primary conversion ranged from 0 percent for the Excluder device up to 9.7 percent for the EGS.89, 133 In a sub-study of the AneuRx clinical trial, Shames compared EVAR outcomes between men (n=203) and women (n=42) (data not shown).104 Six women (14 percent) required conversion to OSR compared to one man. Two studies compared early to late experience in performing EVAR. Conversion to OSR for “early experience” was 27 percent and 8.9 percent compared to 4.5 percent and 0 percent for “late experience” in the Flora and Resch studies, respectively.93, 117
A delayed conversion to OSR was considered to be a conversion after a successful EVAR procedure. The pooled percentage occurrence of delayed conversions from 18 studies (n=10,141) was 1.8 percent with mean followup times ranging from 7 to 72 months. In the device-specific trials, delayed conversion was reported for 38 patients receiving AneuRx (3.2 percent)124 Only one study had occurrences of delayed conversion greater than 5 percent.93
The Drury review assessed clinical outcomes not examined further in our report. These include: (1) deployment success; (2) primary and 30-day technical success; (3) change in aneurysm size during followup; (4) procedural blood loss; (5) length of intensive care unit (ICU) stay; and (6) length of hospital stay. The results are summarized: (http://www.nice.org.uk/pdf/ip/AAA%20stent%20review%20body%20report%20for%20web.pdf).
Successful EVAR deployment, defined as EVAR placement in the correct position without surgical intervention or OSR conversion, was reported in 13 studies (n=5,480).56, 87, 89, 99, 102, 103, 106, 108–110, 114, 115, 120, 121, 125 Deployment success rate was 97 percent. In two device-specific nonRCTs, success for Ancure/EGS and Talent was 93 percent and 99 percent, respectively.87, 89
Primary technical success was reported in 11 studies (n=4,998).56, 87, 89, 92, 99, 102, 103, 108, 109, 112, 116, 120–122, 125 The majority of studies defined this outcome as the successful placement of the endoluminal-stent with complete exclusion of the aneurysm from the circulation.87, 92, 99, 109, 125
Three studies provided an alternative definition56, 103, 116 and four studies102, 108, 112, 120 provided no definition. Success was verified with either angiogram upon completion or pre-discharge angiograms. Primary technical success varied widely, from 61 to 91 percent, (80 percent overall). One nonRCT (Talent) reported a success of 70 percent.87 Thirty-day technical success was defined as successful placement of the graft resulting in complete exclusion of the AAA, with or without prior secondary intervention. Overall success was 91 percent in eight studies (n=1,493) and ranged from 77 to 100 percent. Success for the Talent study was 86 percent.87
Increase in AAA size was reported in 14 studies (n=2,509)83, 87, 95, 96, 108–113, 121, 122, 124, 135 and ten (n=2,065) reported reduction in AAA83, 95, 96, 108, 110, 112, 113, 121, 124, 135 following EVAR. Eight studies reported significant change as an increase or decrease of greater than 5 mm.87, 95, 110–112, 122, 124, 135 One study defined decrease as a change over 10 mm and increase as a change over 5 mm from preoperative size.83 The range of increase in the included studies was 0 – 27 percent with an overall average of 7.7 percent. Approximately 44 percent of patients experienced a decrease in AAA (range 11 – 82.5 percent).
Overall procedural blood loss following EVAR was 397 ml, reported in 12 studies (n=2,594).56, 84, 85, 87–89, 96, 106, 108, 110, 116, 121 Mean blood loss was less for EVAR (414 ml, range 96–783) compared to OSR (1,329 ml range 451–1,800). Mean length of ICU stay with EVAR was less than one-half of OSR (0.7 vs. 1.6 days).11, 84, 86–89 The mean length of hospital stay for EVAR from nine nonRCT was also less than one-half that of OSR (4.2 days vs. 9.9 days).
Safety of EVAR was assessed according to the incidence of EVAR device-related adverse events, or technical complications. Endoleaks are included in this section although they are not classified as a complication. Endoleaks, detected and classified through radiographic imaging, are often asymptomatic and do not require a reintervention. Complications included stent migrations, fractures, graft-limb thrombosis, graft stenosis, and access artery injury.
Type III endoleaks. Type III endoleaks were infrequent. Three studies (n=1,290) reported 30 day outcomes. All 15 events occurred in the RETA registry.127, 133, 134 Overall, 4.0 percent had a Type III endoleak after 1 year (nine studies, n=6,599). The majority were from Eurostar.119 Of the device-specific studies, only AneuRx reported events (8 of 383, 2.1 percent).124
No stent fractures were reported in the 47 included studies by Drury. Stent wire fractures can occur without a full stent fracture and are typically detected by followup x-rays or CT scans. Stent-wire fractures were reported in three studies, two device-specific.87, 108, 134 Overall, 17 events in 659 patients occurred (2.6 percent). The Powerlink study reported no stent wire fractures while the Talent reported an incidence of 4.6 percent.87, 134
Graft-limb thrombosis was reported in five studies (n=659) within 30 days following EVAR (2.4 percent, range 0.7 to 6.3 percent). Incidences for the two device-specific studies were comparable. The overall percentage was similar at 1 year, 2.5, with a range of 0 to 11 percent (11 studies, n=1,657). After 1 year, the incidence increased to 3.8 percent (range 1.9 to 6.1 percent, eight studies, n=6,602). The 1-year incidence for device-specific Powerlink and combined Ancure and EGS reports were 2.1 and 5.4 percent, respectively.89, 134
Graft stenosis was reported by four studies. Only Eurostar provided data within 30 days (n=2,862) and greater than 1 year (n=4,613) following EVAR (0.3 percent and 1.4 percent respectively). Up to 1 year, the overall incidence of graft stenosis was 2.7 percent in three studies reporting (n=365), including one device-specific study (Powerlink), which reported three events in 192 patients.134 In data not shown, access artery injury was reported in seven studies (n=2,561) with an overall incidence of 4.8 percent (range 1.4–12.9 percent).89, 92, 102–104, 109, 118, 121
Question 2. What is the relationship of volume, both hospital and physician, to the benefits and harms of endovascular procedures to repair of AAA?
The literature search did not find any qualifying studies of the association between the volume of endovascular AAA repairs done by hospitals or physicians and any beneficial or harmful outcome.
The only report from the U.S. was based on a statewide discharge database in New York that compared hospitals that did fewer than five EVAR to repair AAA to hospitals doing 30 or more.54 The crude in-patient mortality rates of 1.9 percent versus 0.8 percent did not differ significantly in this small sample. Investigators were not able to make adjustments for potential differences in risk due to patient, physician, or hospital characteristics.
Analysis of data in a European registry did not find a relationship between 30-day mortality in the first 11 cases versus subsequent cases treated at a medical center.57 Midterm outcomes were related to center experience. However, methodological issues discussed in the Background section, including use of withdrawn devices that are not used in the U.S. in earlier cases, make it difficult to determine whether these observations would apply to contemporary practice in the U.S.58
| Reference(s) [Period of Study] Population | Outcome | Volume | Analysis | Risk Adjustment | Volume Groups (n) | Unadjusted Mortality (%) | Adjusted Volume Effect |
|---|---|---|---|---|---|---|---|
| Birkmeyer136 | Death before discharge or within 30 days | Estimated average annual number of AAA repairs over 6 years | Logistic regression with patients as unit of analysis adjusted for clustering | Age, sex, race, income, year, acuity of admission, Charlson comorbidity score (19 conditions excluding the indication for surgery and complications) | Overall | 5.7 | |
| Goodney15 [1994-1999] | Goodness-of-fit: NR | Annual hospital volume | Odds ratio | ||||
| All fee-for-service Medicare enrollees over 65 years old who were discharged from a hospital. | Discrimination: NR | <17 (1900) | 7.8 | reference | |||
| Mean Age: NR | 17–30 (426) | 5.9 | 0.79 (0.73–0.86) | ||||
| Male: 76% | 31–49 (257) | 5.2 | 0.70 (0.64–0.76) | ||||
| 50–79 (156) | 5.3 | 0.71 (0.65–0.78) | |||||
| >79 (80) | 4.4 | 0.58 (0.53–0.65) | |||||
| Subgroups | |||||||
| Low predicted risk | |||||||
| Hospital volume <17 | 5.6 | ||||||
| Hospital volume >79 | 3.3 | ||||||
| High predicted risk | |||||||
| Hospital volume <17 | 12.4 | ||||||
| Hospital volume >79 | 7.4 | ||||||
| Birkmeyer137 [1998-1999] | Death before discharge or within 30 days | Estimated average annual number of AAA repairs over 2 years | Logistic regression with patients as unit of analysis adjusted for clustering within surgeon and hospital via hierarchical mixed models; surgeon and hospital volume tested in separate and combined models | Age, sex, race, income, year, acuity of admission, Charlson comorbidity score (19 conditions excluding the indication for surgery and complications), hospital ownership, teaching status and urban location | Overall | NR | |
| All fee-for-service Medicare enrollees over 65 years old who were discharged from a hospital. | Goodness-of-fit: NR | Surgeon volume | |||||
| Mean Age: NR | Discrimination: NR | Low <8/year (NR) | 6.2 | ||||
| Male: 77% | Med 8–17.5/year (NR) | 4.6 | |||||
| High >17.5/year (NR) | 3.9 | ||||||
| Low volume surgeon | Odds ratio | ||||||
| High volume surgeon | 1.65 (1.46–1.86) | ||||||
| reference | |||||||
| Hospital volume <27.5/yr | |||||||
| Low surgeon (3279) | 6.4 | ||||||
| Medium surgeon (800) | 5.0 | ||||||
| High surgeon (218) | 5.2 | ||||||
| Hospital volume 27.5–60.5/year | |||||||
| Low surgeon (1333) | 6.1 | ||||||
| Medium surgeon (642) | 4.3 | ||||||
| High surgeon (282) | 3.9 | ||||||
| Hospital volume >60.5/yr | |||||||
| Low surgeon (795) | 6.0 | ||||||
| Medium surgeon (379) | 4.3 | ||||||
| High surgeon (310) | 3.6 | ||||||
| Controlling for hospital volume | |||||||
| Low volume surgeon | 1.40 (1.23–1.59) | ||||||
| High volume surgeon | reference | ||||||
| Hospital volume | |||||||
| Low <50/year (NR) | 5.4 | ||||||
| High >50/year (NR) | 4.3 | ||||||
| Odds ratio | |||||||
| Low <50/year | 1.40 (1.23–1.59) | ||||||
| High >50/year | reference | ||||||
| Controlling for surgeon volume | |||||||
| Low volume hospital | 1.17 (1.02–1.35) | ||||||
| High volume hospital | reference | ||||||
| Dimick16 [1996 & 1997] | In-hospital death | AAA repair procedures done in sample hospitals each year | Logistic regression with patients as unit of analysis not adjusted for clustering. | Age, sex, race, acuity of admission, 10 comorbid conditions (Charlson index as modified by Romano). No mention of excluding conditions that might have been complications. | Overall | 3.8 | |
| National Inpatient Sample (stratified random sample of 20% of all discharges from non federal hospitals | Goodness-of-fit: NR | Hospital volume | Odds Ratio | ||||
| Mean Age: | Discrimination: NR | ≤30/year (76 & 91) | 4.7 | 1.71 (1.37–2.14) | |||
| 72±8.1 yrs | >30/year (431 & 445) | 3.1 | reference | ||||
| Male: 79% | Subgroups | ||||||
| Age <65 | |||||||
| Hospital ≤30/year | 2.7 | ||||||
| Hospital >30/year | 1.0 | ||||||
| Age <65 & male | |||||||
| Hospital ≤30/year | 2.5 | ||||||
| Hospital >30/year | 0.8 | ||||||
| Age <65 & female | |||||||
| Hospital ≤30/year | 3.9 | ||||||
| Hospital >30/year | 1.9 | ||||||
| Age >65 | |||||||
| Hospital ≤30/year | 5.2 | ||||||
| Hospital >30/year | 3.5 | ||||||
| Age >65 & male | |||||||
| Hospital ≤30/year | 4.6 | ||||||
| Hospital >30/year | 3.2 | ||||||
| Age >65 & female | |||||||
| Hospital ≤30/year | 7.1 | ||||||
| Hospital >30/year | 4.4 | ||||||
| Dimick138 [1997] | In-hospital death | AAA repair procedures done in sample hospitals. AAA repairs done by surgeon in all hospitals in sample. | Logistic regression with patients as unit of analysis adjusted for clustering by hospital. | Age, sex, race, acuity of admission, type of procedure code (resection vs. by pass), 10 comorbid conditions (Charlson index as modified by Romano). No mention of excluding conditions that might have been complications. | Overall | 4.2 | |
| 60% of National Inpatient Sample that had surgeon identifiers | Goodness-of-fit: OK | Hospital volume | Odds Ratio | ||||
| Mean Age: 72±8 years | Discrimination: | Low <35 | 5.5 | reference | |||
| Male: 79% | c-statistic 0.71 | High ≥35 | 3.0 | 0.7 (0.49–0.98) | |||
| Surgeon volume | |||||||
| <10 | 5.6 | reference | |||||
| ≥10 | 2.5 | 0.6 (0.40–0.88) | |||||
| Surgeon specialty | |||||||
| General | 5.5 | 1.76 (1.1–2.9) | |||||
| Cardiac | 4.0 | 1.47 (0.85–2.6) | |||||
| Vascular | 2.2 | reference | |||||
| Low volume hospital | |||||||
| Low volume surgeon | 6.5 | ||||||
| High volume surgeon | 3.2 | ||||||
| General surgeon | 6.3 | ||||||
| Cardiac surgeon | 5.9 | ||||||
| Vascular surgeon | 2.7 | ||||||
| High volume hospital | |||||||
| Low volume surgeon | 4.2 | ||||||
| High volume surgeon | 2.4 | ||||||
| General surgeon | 4.4 | ||||||
| Cardiac surgeon | 2.5 | ||||||
| Vascular surgeon | 1.9 | ||||||
| Khuri139 [1991-1997; fiscal years that begin in October] | 30-day postoperative mortality | Annual volume per hospital derived as total number of AAA repairs done in a hospital/years hospital contributed to database | Logistic regression with patient as unit of analysis to derive expected number of deaths per hospital, and estimate expected (risk adjusted) mortality | Age, emergency procedure, American Society Anesthesia class, weight loss, albumin, white blood cell count, blood urea nitrogen plus 60 other insignificant factors | Overall | 4.7 | |
| Veterans Affairs medical centers in the prospective National Surgical Risk Study or Surgical Quality Improvement Program | Goodness-of-fit: NR | Hospital volume | O/E Ratio | ||||
| Mean Age: 69±6.9 | C-statistic: 0.75 | 0–3/year (26) | 8.2±17.3 | 1.75±4.9 | |||
| Male: 99% | Mixed effects hierarchical logistic regression; level 1 regression of death on patient characteristics; level 2 regression of hospital volume on risk adjusted mortality | 4–6/year (26) | 5.3±5.6 | 0.92±1.0 | |||
| 7–10/year (26) | 4.4±3.0 | 0.93±0.7 | |||||
| 11–32/year (26) | 4.6±2.7 | 1.08±0.7 | |||||
| p=0.65 | |||||||
| Correlation r = -0.11 between hospital O/E and volume | |||||||
| p=0.28 | |||||||
| Regression coefficient β= -0.028 ±0.021 | |||||||
| p=0.10 | |||||||
| Dardik140 [1990-1995] | In-hospital death | Total number of elective AAA repairs done by hospitals and surgeons operating in sample hospitals over 6-year period | Logistic regression presumably with patient as unit of analysis, adjustments for clustering not reported | Age, sex, race, Medicaid, hypertension, diabetes, chronic obstructive pulmonary disease, cardiac disease, renal disease, smoking history | Overall | 3.5 | |
| Discharges from nonfederal, acute care hospitals in Maryland excluding urgent and emergent admissions | Goodness-of-fit: NR | Hospital volume | Odds Ratio | ||||
| Mean Age: 70±7.5 years | Discrimination: NR | <50 (30) | 4.3±0.8 | 2.1 (1.04–4.27) | |||
| Male: 78% | 50–99 (9) | 4.2±0.8 | NR | ||||
| 100 or more (7) | 2.5±0.5 | reference | |||||
| Surgeon volume | |||||||
| 1 (71) | 9.9±3.6 | 3.26 (1.32–8.03) | |||||
| 2–9 (83) | 4.9±1.1 | NR | |||||
| 10–49 (56) | 2.8±0.5 | reference | |||||
| 50–99 (6) | 2.9±0.9 | NR | |||||
| 100 or more (3) | 3.8±1.0 | NR | |||||
| Sollano141 [1990-1995] | In-hospital death | Total number of nonruptured AAA repairs done in hospitals over 6-year period | Logistic regression with patients as unit of analysis not adjusted for clustering | Age, sex, race, admission acuity, transfer admission, payer, service intensity weights based on DRG cost ratings were tested | Hospital volume per 100 cases (9,847) | 5.5 | Odds Ratio |
| Discharges from nonfederal, acute care hospitals in New York excluding emergency repairs | Goodness-of-fit: OK | Average of hospital volumes | 0.82 (0.76–0.90) | ||||
| Age: NR | C-statistic: 0.68 | 15 (131) | 8.2 | ||||
| Male: NR | 62 (33) | 5.8 | |||||
| 105 (13) | 5.5 | ||||||
| 171 (5) | 3.3 | ||||||
| 193 (3) | 4.8 | ||||||
| 260 (2) | 5.4 | ||||||
| 292 (5) | 4.7 | ||||||
| 334 (1) | 3.3 | ||||||
| 433 (1) | 2.6 | ||||||
| Pearce142 [1992-1996] | In-hospital death | Annual hospital and surgeon AAA repairs done in sample hospitals | Logistics regression using logarithm of volume measures not adjusted for clustering although presumably patients were the unit of analysis | Age, sex, emergency admission, length of stay, year, hospital bed size, teaching status and ownership | Overall | 5.7 | Odds Ratio |
| Discharges from nonfederal, acute care hospitals in Florida | Goodness-of-fit: NR | Median hospital volume/year | 0.88* per doubling of volume | ||||
| Median [IQR] | C-statistic: NR | 32 [18, 46] (162) | |||||
| Age: 72 [67–77] | Median surgeon volume/year | 0.90* per doubling of volume | |||||
| Male: 81% | 9 [5, 15] (609) | ||||||
| Vascular certification | 0.77* versus not certified for vascular surgery | ||||||
| 18% of repairs (62) | |||||||
| *p <0.01 (CI's NR) | |||||||
NR = not reported. CI = confidence interval. RR = relative risk. O/E = observed/expected. IQR = interquartile range.
Five studies of OSR of AAA used a national sample of hospital discharges, discharges of elderly Medicare enrollees, or operations in VA medical centers.15, 16, 136–139 Three investigations analyzed hospital discharges in Maryland, Florida, or New York.140–142 All studies were retrospective analyses of available databases. The VA study was the only one that had prospectively collected preoperative data including clinical variables.139 Corresponding with the incidence of AAA, all samples were predominantly elderly males, and data for females is sparse.
Death was the primary outcome in all analyses. In-hospital death was analyzed in five of the eight reports16, 138, 140–142 Others included deaths within 30-days to avoid bias that can be introduced by differences in hospital length of stay.143 Hospital volume was analyzed in all studies. Two studies of Medicare data attempted to estimate each hospital's total volume, not just operations covered by Medicare.15, 136, 137 Volume measures reflected periods of time that varied from 1 to 6 years. Some were analyzed as average annual volume, while others reported total volume during the period of study. Half of the studies included a measure of surgeon volume. Only one examined the surgeon's specialty.138 All studies ignored procedures that were done prior to the period of study as well as the surgeon's experience doing other types of vascular operations.
All studies employed logistic regression models with patients as the unit of analysis. Four studies did not report adjustments for clustering of patients within hospitals (or surgeons).16, 140–142 Two studies utilized hierarchical regression models with hospitals and or surgeons as random effects.137, 139 Age and sex were used as covariates in all analyses except the VA study that was nearly 100 percent male. Race (white versus non-white) was included in six studies.15, 16, 136–138, 141, 142 Two studies did not attempt to include co-morbidities because of concerns about completeness of diagnoses listed on discharge abstracts and the inability to differentiate postoperative complications from preexisting conditions.141, 142 Admission acuity was a covariate in all studies except one that excluded urgent and emergency admissions. Most excluded hospital transfers. Other covariates used by some, but not all, included year to control for time trends, estimated patient income or type of insurance, service intensity of DRGs, hospital length of stay, and characteristics such as bed size, ownership, being a teaching facility for physicians, and urban location. Information about aneurysm characteristics was not available for risk adjustment in any of the eight investigations. Another analysis of the data in Nationwide Inpatient Sample from 1998 to 2001 found that use of low volume hospitals (<10 AAA repairs/year) was associated with race/ethnicity, geographic region, rural setting, Medicaid, and lack of insurance and non-elective admissions.144 If these variables are also associated with outcomes, they need to be controlled when estimating the effects of volume. Only two studies reported how well their regression model fit the data and three reported how well their model discriminated deaths. Reported c-statistics were modest, ranging from 0.68 to 0.75.
Overall mortality in the studies ranged from 3.5 percent to 5.7 percent. Seven of eight studies reported that significantly lower adjusted mortality was associated with higher volume hospitals. Two studies suggested that the volume effect was relatively consistent in patient subgroups with different preoperative risks of death.15, 16 Cutpoints for hospital volume that were associated with lower adjusted mortality ranged from 17 to 100 AAA OSR per year. These cutpoints were arbitrary and studies did not report analyses specifically to determine a volume threshold(s). The highest volume in the VA study that did not find an association between hospital volume and mortality was 32 procedures per year. This was the only study that prospectively collected and incorporated numerous preoperative clinical variables for risk adjustment. A summary plot of mortality versus volume from all studies was not possible given varying measures of mortality and volume and broad volume categorizations. Some studies only reported risk-adjusted results for volume analyzed as a logarithm-transformed continuous variable.
All three studies that analyzed surgeon volume reported that surgeon volume had an effect that was independent of hospital volume.137, 138, 140 One study that reported how surgeon volume altered the effect of hospital volume indicated that the addition of surgeon volume to the regression model greatly reduced, but did not eliminate, the effect of hospital volume.137 Surgeon volume was inversely related to mortality when surgeon specialty was taken into account in the two studies.138, 142 These studies did not identify a volume cutpoint that could be used to identify surgeons who perform enough AAA repairs to maintain optimal outcomes.
Adequate studies of the relationship between the volume of EVAR procedures done by hospitals and physicians in the United States have not been reported to date. Most previously published studies of OSRs of AAA done by hospitals and surgeons suggest that there is an inverse relationship between volume and short-term mortality. Whether or not a similar inverse relationship exists between the volume of EVAR procedures done by hospitals or physicians and mortality or any other outcome has not been established. The poorly defined relationship between the volume of OSR and short-term mortality should not be extrapolated to EVAR. Studies specific to EVAR that address important limitations of previous volume-outcome studies discussed in the Background section are needed to guide policy.
Question 3: How do the characteristics of the aneurysm (size/location/shape) and the patient (age/gender) affect the benefits and harms of endovascular and open-surgical repair?
Only elective repair for asymptomatic AAA are considered. Patients enrolled in RCT all had infrarenal AAA. There are no outcomes data based on AAA morphology or classification. The following information is provided to summarize the epidemiology of AAA enrolled in RCTs to serve as a benchmark for estimating relevance to future study design or practice.
In the small aneurysm trials of OSR versus active surveillance, patients were ineligible if they had suprarenal or juxtarenal aneurysm (defined by an anticipated need for reimplantation of a main renal artery). RCT results have not provided outcomes according to AAA morphology class (i.e., whether the aneurysm was confined to the aorta, involved the aortic bifurcation, proximal common iliac arteries, or extended into one or both of the iliac bifurcations). There are no data based on whether AAAs were considered “sacular” versus “fusiform.” DREAM provides extensive information on AAA morphology. Nearly 70 percent had cylindrical or fusiform AAA, approximately 60 percent of AAA were considered to involve the aortic bifurcation and have normal iliac arteries, and 18 percent extended into one or both iliac arteries. “Unfavorable features” of the infrarenal neck as defined by an angulation of more than 90 degrees, diameter of more than 18 mm, and a diameter of less than 6 mm or more than 50 percent stenosis was reported in about one-half, while extensive iliac calcification was reported in 70 percent.
Among patients assigned to OSR, nearly 60 percent received a conventional aortoaortic tube graft, while one-third received an aortobiliac (bifurcated graft). Among EVAR patients, more than 90 percent received aortobiiliac EVAR. Parlani evaluated patients with iliac aneurysms versus those without iliac aneurysms and noted no differences in mortality, complications, or need for reinterventions after EVAR.96
Natural History: AAA initial or attained diameter is the biggest known predictor of rupture risk. AAA typically have been classified as small (<5.5 cm) or large. These classifications have been used for inclusion criteria in RCTs and clinical decision making.
The annual rupture rate for AAA <5.5 cm was less than 1 percent in patients enrolled in the active surveillance arm of ADAM and UKSAT. A cohort of 2,257 adults was comprised of patients enrolled in the UKSAT trial and the associated study for patients' ineligible or refusing randomization. After 3 years the annual rate of AAA rupture was 2.2 percent. Additional analyses assessed the risk of rupture and last known or estimated AAA diameter categorized as ≤3.9 cm, 4.0 to 4.9 cm, 5.0 to 5.9 cm, and ≥6.0 cm. The number of ruptures per 100 patient years increased from 0.3 for AAA <3.9 cm to 1.5 and 6.5 for patients with AAAs 4.0 to 4.9 cm and 5.0 to 5.9 cm respectively. A Mayo Clinic study suggested that a 1 cm larger initial diameter was associated with an approximately 50 percent increase in the adjusted rupture risk.
OSR. As noted previously (Question 1) both ADAM and UKSAT analyzed mortality according to treatment arm (early OSR versus surveillance) and age or aneurysm diameter at baseline, based on tertile groups. The adjusted hazard ratio at 8 years followup in UKSAT tended toward a greater benefit of early OSR among younger patients, men, and those with larger aneurysms. However, neither study demonstrated a significant interaction between treatment group and age baseline, AAA diameter, or gender. The reported test of interaction was not significant across AAA size (p = 0.28) or age (p = 0.18). Calculated risk differences, reported relative risks, and tests for interaction from ADAM were not significant and had point estimates favoring surveillance. In UKSAT, the overall death rate for patients who continued to smoke was 12.0 per 100 patient years compared to 3.8 per 100 patient years for patients who no longer smoked. Results were not reported according to randomized treatment assignment. Results from ADAM demonstrated that independent predictors of death among all enrollees included higher serum creatinine level, lower weight, diagnosis of COPD or diabetes, larger AAA diameter, lower forced expiratory volume in one second, and nonuse of a beta-blocker. There were few women enrolled in either trial. The test for interaction with gender was not significant in UKSAT (p = 0.40). However, fatal ruptures were nearly three times more common in women than men and the risk of AAA rupture was four times higher among women. Greater than 90 percent of enrollees were of white race, and no outcomes according to race were provided.
EVAR. Despite an RCT that reported no benefit in survival or quality of life with immediate OSR versus active surveillance in patients with AAA <5.5 cm there is a possibility that some of these patients might benefit from EVAR, especially if EVAR morbidity is very low. One study recently began recruitment to evaluate EVAR versus surveillance for small AAA. The estimated rupture rate for the surveillance group used in sample size calculations for this trial are higher than reported in the two trials of OSR versus surveillance.
No intervention. The rupture rate for large AAA in patients judged fit for OSR is difficult to determine because most undergo early AAA repair. Lederle reported that the 1-year incidence of probable rupture by initial AAA diameter in those refusing or judged medically unfit for OSR. Rupture rates were 9.4 percent for AAA of 5.5 to 5.9 cm, 10.2 percent for AAA of 6.0 to 6.9 cm, and 32.5 percent for AAA ≥7.0 cm. Among patients who attained an AAA diameter exceeding 8.0 cm, 25.7 percent ruptured within 6 months.36 The rupture rate among the no intervention group in EVAR-2 was lower than that reported by Lederle. In EVAR-2, (mean AAA = 6.3 cm) AAA rupture occurred in 12.2 percent of individuals in the no intervention group (rupture rate in the no intervention group = 9.0 per 100 person years).
EVAR versus OSR or no intervention. Outcomes of EVAR from randomized controlled trials for large AAA were assessed relative to OSR or no intervention based on whether patients were considered medically fit for OSR. Enrolled patients were all considered candidates for EVAR. However, the proportion of patients with large AAA (i.e., ≥5.5 cm) who might be eligible for EVAR in clinical settings was estimated from the EVAR-1 and 2 trial registries as 54 percent.13 This is consistent with other reports from EVAR utilization patterns in the U.S. where an estimated 40–80 percent of AAA could be amenable to EVAR based on aneurysm size, morphology, and patient surgical risk characteristics.39, 40 Data from the EVAR-2 trial suggests that approximately one-fifth of patients with large AAA who are EVAR candidates are judged medically unfit for OSR.145
Patient characteristics. In trials of EVAR vs. OSR over 90 percent of enrollees were male with an average age of 70 years. Almost all were white. The mean AAA diameter ranged from approximately 5.4 cm in the small study by Cuypers to 6.5 cm in EVAR-1. More than 40 percent of patients had a history of cardiac disease, 10–16 percent diabetes, and the majority were current or past smokers. No outcomes by race or these selected comorbidities were reported.
Detailed findings from RCTs of EVAR versus OSR or no intervention are described in Question 1. In the DREAM trial the perioperative survival advantage with EVAR as compared with OSR was not sustained after the first postoperative year. In the early postoperative period there was a small quality of life advantage for EVAR. At 6 months and beyond QOL was better after OSR. In the larger EVAR-1 trial, compared with OSR, EVAR offered no advantage in all-cause mortality and health related quality of life, was more expensive, and was associated with a greater number of complications and reinterventions. There was a 3 percent better AAA-related survival with EVAR, though it is possible that cause of death ascertainment was biased against later AAA related deaths in the EVAR group. There were no significant interactions for all-cause or AAA-related mortality with age, sex, aneurysm diameter, or creatinine concentration. Followup time period suggested that hazard ratios for AAA-related mortality, total mortality, complications, and need for intervention began to favor OSR after 6 months.
Patients in EVAR-2 were considered medically unfit for OSR and had large AAA (mean AAA diameter = 6.4 cm; range = 6.0–7.4).145 Patients were older (76 vs. 70 years) and had worse pulmonary function based on spirometry (FEV1: 1.6 vs. 2.1L) than patients enrolled in EVAR-1. Baseline blood pressure, serum creatinine, and cholesterol levels as well as the percent males or individuals with diabetes, smoking, or cardiac history appeared similar. The severity or duration of these comorbidities was not described in detail, but 2 year mortality in the no intervention group was greater than 60 percent. In the EVAR-2 trial, EVAR resulted in a 30-day operative mortality of 9 percent in patients unfit for OSR. EVAR did not improve overall or AAA related mortality or quality of life over no intervention and was associated with a need for continued surveillance and reinterventions at increased cost.
There were no significant interactions for the effect of EVAR with age, sex, aneurysm diameter, or creatinine concentration. The 30-day EVAR mortality was higher in the sicker EVAR-2 patients than those receiving endovascular repair who were judged fit for surgery in EVAR-1 (9 percent and versus 1.7 percent; p <0.0001). Additionally, compared to healthy EVAR-1 patients, there was a greater need for internal iliac artery embolization, blood products, renal dialysis, length of hospital stay (and a trend for overall reintervention rate).
A wide range of EVAR devices was used in these trials. Over 90 percent of EVAR procedures used commercially available aortobiiliac device systems while aorto-aortic (tube) grafts were used in the majority of OSRs. Selection for both EVAR and OSR was based on the discretion of the surgical team. The most commonly used EVAR devices were Zenith (33–59 percent of devices) and Talent (27 to 33 percent). Additional description of the devices was not provided. Prior to participating, investigators were required to submit data related to at least 20 completed EVAR procedures.
No randomized trials of EVAR versus OSR have specifically limited recruitment to patients judged to be at high surgical risk due to age, medical comorbidities, or abdominal anatomy (e.g., horseshoe kidney, abdominal adhesions, etc.). As noted previously, patients enrolled in the EVAR and OSR trials were elderly and had numerous comorbid conditions that would result in a limited life expectancy and a relatively high surgical risk. One report enrolled 100 patients believed to be at high risk for complications from OSR and subsequently treated them with the Zenith AAA EVAR.131 Pathophysiologic conditions used to determine high risk status included age >80 years, creatinine >2.0 mg/dL, disabling COPD, ejection fraction <25 percent, stroke with residual deficit, medically intractable hypertension, previous renal bypass surgery, or myocardial infarction within the past 6 months. Mean baseline AAA and patient characteristics were not reported and it is not clear how many, if any, of these patients were considered “medically unfit” for OSR. Based on Kaplan-Meir plot estimates, overall survival at 1 year was 92 percent and at 2 years was 78 percent (number at risk not provided). AAA reported survival was estimated at 94 percent for both 1 and 2 year. An additional report evaluated outcomes of EVAR and OSR in a “high surgical risk” subgroup of patients entered into any of five nonrandomized multicenter IDE studies leading to FDA approval of EVAR devices.14 Patients with AAA ≥5.5 cm were retrospectively categorized as “high surgical risk” based on age >60 years and having at least one cardiac, pulmonary, or renal comorbidity. Inclusion, criteria for the IDE studies required that patients were candidates for OSR, though in one study patients were prospectively defined as being at high risk for OSR complications as noted above. Three-quarters of “high-risk” patients had only one comorbid category and <1 percent had all three categories. There were 14.2 percent endoleaks reported at 30 days, 17.5 percent at 1 year, and 18.9 percent at 4 years. Endograft migration occurred in 2.7 percent at 4 years. Major complications were not reported. After 4 years, deaths categorized as due to AAA were similar between EVAR and OSR patients (4.2 percent and 5.1 percent respectively (p = 0.58). Overall-survival in EVAR treated patients was 10 percent lower compared to OSR (56 percent vs. 66 percent), though this difference was not statistically significant (p = 0.23).
Compared to RCT enrollees, patients receiving EVAR included in these reports had smaller AAA (mean = 5.6 cm). Compared to the listed OSR controls, EVAR patients had slightly smaller AAA (5.6 vs. 5.8 cm), were older (73 vs. 70 years), more frequently male (89 vs. 81 percent), and have a history of coronary artery disease (79 versus 53 percent). Across devices there were no large differences in mean age, AAA diameter, gender, or comorbid conditions.
The number of EVAR devices submitted for FDA review ranged from 121 for Ancure to 416 for AneuRx. The pooled results as well as device-specific data obtained separately from FDA websites indicates that 30-day mortality rates with different devices ranged from 1 percent with Gore Excluder to 4.2 percent with Guidant Ancure. EVAR and OSR 30-day mortality rates were 1.6 and 1.4 percent respectively. Major complications or adverse events within 30 days were not provided in the Lifeline report but ranged from 13.6 percent in FDA reports with Gore Excluder to 35.6 percent with Guidant Ancure.
The mean AAA diameter was ≥5 cm in patients included in the nonrandomized-EVAR reports, and available outcomes would be considered related to large AAA. However, three reports describe outcomes of EVAR for small versus large AAA.94, 100, 146 Arko reported no significant difference in endoleaks between small, medium, or large AAA (p = 0.41). Ouriel reported that in a cohort of 700 patients treated with EVAR, overall survival, AAA related death, conversion, and Type 1 endoleaks were worse in large (≥5.5 cm) versus small AAA. Similar results from the Eurostar registry were noted by Peppelenbosch.
In the device-specific published studies (which often included additional patients and outcomes data compared to the FDA reports), early and late ruptures were reported only for AneuRx device and were 0.3 and 0.8 percent respectively.124 Primary conversion ranged from 0 percent for the Excluder device up to 9.7 percent for the EGS. In a sub study of the AneuRx clinical trial, Shames compared EVAR outcomes between men (n = 203) and women (n = 42) (data not shown).104 Six women (14 percent) required conversion to OSR compared to one man. The incidence of delayed conversions for 18 studies (n = 10,141) was 1.8 percent with mean followup times ranging from 7 to 72 months.
In device-specific trials delayed conversion was reported for 3.2 percent of patients receiving AneuRx. Secondary interventions were undertaken for 12 percent, and 13 percent of patients receiving Powerlink and Excluder devices after approximately 2 years. For patients receiving Ancure and EGS devices, 37 percent followed for 5 years required a secondary procedure.
The overall incidence of Type I endoleaks within 30 days following EVAR was 4.2 percent and ranged from 0.9 percent to 11 percent. The percentage of events in the device-specific studies ranged from 0.9 percent (Powerlink and AneuRx) to 5.8 percent for Talent. Overall incidence of Type III endoleaks within 30 days following EVAR was 1.2 percent in three reports, including Powerlink and Excluder. Powerlink and Excluder reported no Type III endoleaks at any followup period.
There was a wide range in the percentage of Type II endoleaks within 30 days following EVAR (1.4 percent to 19.3 percent in two AneuRx studies, 11.7 percent for Excluder and 20 percent for Powerlink). The highest number of events occurred in the combined Ancure and EGS study, although this event was reported for bifurcated grafts only. In 12 studies (n = 2,598) 14.7 percent had events at 1 year. The range was 5.4 percent (Talent) to 21.8 percent (combined Ancure and EGS, bifurcated grafts only). The Powerlink study reported no stent fractures.
Graft-limb thrombosis was reported in five studies (n = 659) within 30 days following EVAR with an overall incidence of 2.4 percent (range 0.7 percent to 6.3 percent). Incidences for the two device-specific studies were comparable. The 1 year incidence for device-specific Powerlink and combined Ancure and EGS NRCTs were 2.1 percent and 5.4 percent, respectively. Up to 1 year, the overall incidence of graft stenosis was 2.7 percent in three studies reporting, including one device-specific study Powerlink which reported events in 1.6 percent of patients.
Question 4: What are the costs-benefits for each of the procedures?
Aside from studies developing Markov models to estimate lifetime costs and the cost effectiveness of EVAR and OSR, the majority of studies reviewed for the economic analysis report either on the costs associated with the initial elective procedure (EVAR, OSR, or both) or on costs of followup care for EVAR. If studies reporting on cost also include measures of effectiveness, we report those findings as well as conclusions regarding cost effectiveness.
The results of the two EVAR RCTs for AAA ≥5.5 cm (EVAR vs. OSR and EVAR vs. no intervention) were used as the basis for a cost-effectiveness modeling. With those two exceptions, most of the data on costs or effectiveness (rarely both) come from observational studies, some of which are simply case series with no comparative analysis.
All of the retrospective reviews and prospective case series included in our analyses have taken an institutional perspective and report only the costs incurred by the hospital(s) and/or clinics. None take the societal perspective of including the cost or quality of life associated with the patient's or caregiver's time lost from work or other activities while hospitalized, traveling, or attending followup visits.
| Procedures | Authors (Reference) | Study Type | Publication Year | Cohort Year | Country | Sample Size | Timeframe | Main Cost Results |
|---|---|---|---|---|---|---|---|---|
| EVAR, OSR | Bosch149 | Markov CEA | 2002 | Not applicable | USA | Not applicable | lifetime | $EVAR >$OSR |
| Patel150 | Markov CEA | 1999 | Not applicable | USA | Not applicable | lifetime | $EVAR >$OSR | |
| Michaels17 | Markov CEA | 2005 | Not applicable | UK | Not applicable | 10 years | $EVAR >$OSR | |
| EVAR-113 | RCT | 2005 | 1999 | UK | 543, 539 | 4 years | $EVAR >$OSR | |
| Angle151 | Retrospective review | 2004 | 2000-2001 | USA | 55, 64 | Hospital | $EVARh >$OSRh | |
| Bosch154 | Retrospective review | 2001 | 1997-1999 | USA | 181, 273 | Hospital | $EVARh >$OSRh | |
| Clair152 | Retrospective review | 2000 | 1998 | USA | 45, 94 | Hospital | $EVARh >$OSRh | |
| Dryjski156 | Retrospective review | 2003 | 2000 | USA | 73, 57 | Hospital | $EVARh >$OSRh | |
| Hayter157 | Retrospective review | 2005 | 1995-2004 | Australia | 55, 140 | Hospital + 1 year followup | $EVAR >$OSR | |
| Lee51 | Retrospective review | 2004 | 2001 | USA | 2565, 4607 | Hospital | $EVARh >$OSRh | |
| Sternbergh64 | Retrospective review | 2000 | 1996-1997 | USA | 131, 49 | Hospital | $EVARh >$OSRh | |
| Maher33 | Systematic review | 2003 | Not applicable | Not applicable | Not applicable | Not applicable | $EVAR >$OSR | |
| EVAR, CM | Michaels17 | Markov CEA | 2005 | Not applicable | UK | Not applicable | 10 years | $EVAR >$CM |
| EVAR-2145 | RCT | 2005 | 1999 | UK | 166, 172 | 4 years | $EVAR >$CM | |
| EVAR only | Prinssen159 | Prospective review | 2004 | 1994-2000 | Netherlands | 77 | Followup surveillance | $EVAR only |
| Bertges153 | Retrospective review | 2003 | 2000-2001 | USA | 221 | Hospital | $EVAR only | |
| Lester158 | Retrospective review | 2001 | 1994-1999 | USA | 91 | Hospital | $EVAR only | |
| OSR, CM | UKSAT147 | RCT | 1998 | 1991-1995 UKSAT | UK | 563, 527 | 18 months post randomization | $OSR >$CM |
| Schermerhorn148 | Markov CEA | 2000 | Not applicable | UK | Not applicable | Lifetime | $OSR >$CM | |
| OSR only | Brox155 | Retrospective review | 2003 | 1997-2000 | USA/Canada | 505(US), 552(Canada) | Hospital | $OSR only |
| Huber4 | Retrospective review | 2001 | 1994-1996 | USA | 16,450 | Hospital | $OSR only | |
| Patel163 | Markov CEA | 2000 | Not applicable | USA | Not applicable | $OSR only | ||
CM — Conservative Management, EVARh and OSRh = cost associated with initial hospitalization for EVAR and OSR respectively.
The costs reported within the studies reviewed also vary by whether they considered direct, indirect, variable, and/or fixed costs. As individual hospital accounting systems do not necessarily follow a standardized approach to allocating costs across departments, the costs reported within this systematic review reflect a variety of costing methodologies. Despite these qualifications, we found a general consensus in the relative costs of EVAR and OSR within each of these studies regardless of the time frame considered.
UKSAT measured and valued direct health service costs for use of UK National Health Service (NHS) resources for participants in their trial. The mean cost of treatment in the early-OSR group was significantly higher than that for ultrasonographic surveillance (£ = 4,978 vs. £3,924; difference = £1,064, CI 799–1,328).147 It is not clear how these costs would directly relate to U.S. settings. Trials conducted outside the U.S. do not reflect U.S. norms associated with resource valuation, utilization of health care resources, practice variation, and U.S. health care expertise. One cost-effectiveness report used UKSAT data and concluded that despite the negative conclusions of the UK trial, early OSR may be modestly cost effective for patients with small AAAs, particularly younger patients (<72 years of age).148 Given the higher cost associated with early OSR and the lack of effectiveness regarding survival and quality of life from the UKSAT and ADAM studies (published subsequent to the above cost-effectiveness analysis), it is difficult to accurately conclude that early OSR is cost-effective compared to surveillance with delayed OSR. Although they used different data bases, included different cost elements, were based in different countries with differing health care and payment systems, and focused on elective and ruptured AAAs, both studies of OSR cost-effectiveness came up with similar findings, an Incremental Cost Effectiveness Ratio (ICER) of about $11,000 per QALY.142, 155
With regard to the main comparison of EVAR and OSR, our analyses begins with a discussion of the overall results of the 12 studies providing cost data comparing EVAR and OSR, and then a discussion of the studies reporting on the costs associated with either procedure. Studies include one RCT,13 one systematic review,33 seven retrospective reviews, and three Markov models,17, 149, 150 one of which is based on the results of one of the other studies.
| Exclusion rationale | Authors (reference) | Study type | Publication year | Cohort year | Sample size | Timeframe | Main cost results |
|---|---|---|---|---|---|---|---|
| <50 in either arm | Aquino66 | Prospective | 2001 | 1997-1999 | 25, 26 | Hospital + 1 year followup | Not applicable |
| Berman67 | Prospective | 2002 | 1999-2000 | 9, 11 | Hospital | $EVARh ~ $OSRh | |
| Birch68 | Retrospective review | 2000 | 1996-1999 | 31, 31 | Hospital, pred lifetime | $EVAR >$OSR | |
| Forbes69 | Retrospective review | 2002 | 1998 | 7, 31 | Hospital +1 year followup | $EVAR >$OSR | |
| Lottman70 | RCT | 2004 | 1996-1999 | 57, 19 | Preop, 1 and 3 months postop | Not applicable | |
| Rosenberg71 | Retrospective review | 2005 | 2002-2003 | 34, 54 | Hospital | $EVARh ~ $OSRh | |
| No cost information | Drury6 | Systematic review | 2005 | Not applicable | Not applicable | Not applicable | Not applicable |
EVARh and OSRh = cost associated with initial hospitalization for EVAR and OSR respectively
| EVAR-1 0513 | Angle 04151 | Bosch 01154 | Clair 00152 | Dryjski 03156 | Hayter 05157 | Lee 0451 | Sternbergh 0064 | EVAR2 05145 | Prinssen 04159 | Bertges 03153 | Lester 01158 | Brox 03155 | Forbes 98147 | Huber 014 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Type of cost data (source) | Hospital costs (UK National Health Service) | Hospital costs (unspecified) | Hospital costs (TSI) | Hospital costs (TSI) | Hospital costs (unspecified) | Hospital costs (Medicare benefits schedule, MBS) | Hospital charges (National Inpatient Sample—NIS) | Hospital costs (unspecified) | Hospital costs (UK National Health Services) | Hospital costs | Hospital costs (% of charges) | Hospital costs (TSI) | Hospital costs (TSI) | Hospital cost (UK National Health Service) | Hospital charges | ||||||||||||
| Type of study | RCT | Retrospective review | Retrospective review | Retrospective review | Retrospective review | Retrospective review | Retrospective review | Retrospective review | RCT | Prospective review | Retrospective review | Retrospective review | Retrospective review | RCT | Retrospective review | ||||||||||||
| Direct only or direct AND indirect | Unclear | Direct only | Direct and indirect | Direct only | Direct and indirect | Direct and indirect | Direct and indirect | Direct only | Unclear | Direct and indirect | Direct and indirect | Direct and indirect | Direct and indirect | Direct only | Direct and indirect? | ||||||||||||
| Currency | UK pound | U.S. dollar | U.S. dollar, 1999 | U.S. dollar | U.S. dollar | AU converted U.S. dollar, 2003/04 | U.S. dollars, 2001 | U.S. dollar | UK pound | U.S. dollar | U.S. dollar | U.S. dollar | U.S. dollar, 2000 | UK pound | U.S. dollars, 1996 | ||||||||||||
| Cohort | 1999-2003, UK | 2000-2001 | 1997-1999 | 1998 | 2000 | 1995-2004 | 2001 | 1996-1997 | 1999-2003, UK | 1994-2000 | 2000-2001 | 1994-1999 | 1997-2000 | ? | 1994-1996 | ||||||||||||
| Treatment | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | OSR | EVAR | CM | EVAR | EVAR | EVAR | OSR-USA | OSR-Canada | CM | OSR | OSR | |
| GRAFTS USED | Ancure, Guidant (Menlo Park, CA) | - | “majority”
|
| - | 91%
| - | - | - | 97%
| 86%
|
| |||||||||||||||
| AneuRx, Medtronic (Santa Rosa, CA) | 4%
| “rest”
| - | 100%
| □ | 9%
| - | 100%
| 6%
| - | 14%
| - | |||||||||||||||
| Excluder, Gore (Flagstaff, AZ) | 7%
| - |
| - | - | 25%
| All available | - | 7%
| 3%
| - |
| Not applicable | Not applicable | Not applicable | ||||||||||||
| Talent, Medtronic (Minneapolis, MN; Santa Rosa, CA) | 33%
| - | - | - | - | 2%
| (National dataset,2001) | - | 21%
| - | - | - | |||||||||||||||
| Vanguard, Boston Scientific (Wayne, NJ) | - | - |
| - | - | - | - | - | - | - |
| ||||||||||||||||
| Zenith, Cook (Bloomington, IN; Denmark) | 51%
| - | - | - | - | 73%
| - | 59%
| - | - | - | ||||||||||||||||
| Other commercial grafts | 5%
| - | - | - | - | - | - | 7%
| - | - | - | ||||||||||||||||
| Custom-made stents | - | - | 43%
| - | - | - | - | - | - | - | - | ||||||||||||||||
| Straight, tube type | 10%
| 17%
| 57% | 8%
| ? | 66% |
| ? | 13%
| 17%
| 21%
| ||||||||||||||||
| Bifurcated type | 90%
| 83%
| 43% | 64%
|
| 100%
| 34% |
| ? | 87%
| 52%
| 79%
| |||||||||||||||
| Other | □ | 27%
| □ | 21%
| □ | ||||||||||||||||||||||
| Ancillary supplies included in graft costs | --- | not specified | not specified | yes | yes | yes | Not specified | Not specified | --- | --- | no | Not specified | --- | --- | --- | ||||||||||||
| Initial ER evaluation | - | - | ? |
| - | - | - | ? | - | - | ![]() | ? | ? | - | |||||||||||||
| Preop / preop diagnostics | - | - | ? | - | - |
| - |
| - | - | ? | ? | ? | - | |||||||||||||
| Total preop | - | - | ? | - | - | $733 | $663 | - | $1,100 | $644 | - | - | ? | ? | ? | - | |||||||||||
| Commercial graft / prosthetic device |
|
| $7,000 | $600 | $8,976 | $597 | $12,974 | $750 | $7,765 | $363 | $10–$12,000 | $10,200 | $653 |
| - | $13,191 | - |
| ? | ? | |||||||
| % hospital costs accounted for by graft | 58% | 34% | 3% | 78% | 8% | 49% | 3% | 51% | 6% | - | 57% | ||||||||||||||||
| Operating room |
|
|
|
|
|
| ? | ![]() |
| ? | ? | ||||||||||||||||
| Surgeon fees | ? | ? | - | - | - |
| ? | - | ? | - | - | - | ? | ? | |||||||||||||
| Nursing | ? |
|
|
|
|
| ? | ? | ? | - | ![]() |
| ? | ? | |||||||||||||
| Anesthesia | ? | ? |
|
| - |
| ? |
| ? | - | ![]() |
| ? | ? | |||||||||||||
| Medical/surgical supplies | ? |
|
|
| ? |
| ? |
| ? | - | ![]() |
| ? | ? | |||||||||||||
| Respiratory services/ventilation | ? |
| ? | ? | - |
| ? | ? | ? | - | ? |
| ? | ? | |||||||||||||
| Pharmacy | ? |
| ? |
| - |
| ? |
| ? | - | ![]() |
| ? | ? | |||||||||||||
| Radiology | ? |
|
|
| - |
| ? | ? | ? | - | ![]() |
|
| ? | |||||||||||||
| Blood/transfusion |
| ? | ? |
| ? | ? | ? |
|
| - | ![]() |
| ? | ? | |||||||||||||
| Laboratory | ? |
| ? |
| - | ? | ? | ? | ? | - | ![]() |
| ? | ? | |||||||||||||
| Postop ICU |
|
|
|
|
|
| ? |
|
| - | ![]() |
| ? | ? | |||||||||||||
| Postop ward |
|
|
| ? |
|
| ? |
|
| - | ![]() |
|
| ? | |||||||||||||
| Post diagnostic | ? | - | ? | ? | ? |
| ? |
| ? | - | ![]() |
| ? | ? | |||||||||||||
| Allied health, therapy, etc. | ? | - | ? | ? | ? |
| ? | ? | ? | - | ![]() | ? | ? | ? | |||||||||||||
| “Procedure” |
|
|
| ? | ? |
| ? |
|
| - | ![]() |
|
| ? | |||||||||||||
| “Hospital,” “inpatient hospitalization” |
|
|
|
| ? |
|
|
|
| - | ![]() |
|
| ![]() | |||||||||||||
| Patient costs (time, travel, morbidity). | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||||||||||
| “Other” |
| ? | ? |
| ? | ? | - | ? |
| - | ![]() | ? |
| ? | |||||||||||||
| Total hospitalization | £10,819 | £9,204 | EVAR =1.74*OSR | $20,716 | $18,484 | EVAR = OSR+$7205 | $16,731 | $9,042 | $15,898 | $13,400 | $50,346 | $47,009 | $20,150 | $11,698 | £11,016 | £3,518 | $23,042 | ![]() | $19,000 | $16,000 | £3,914 | £4,978 | $35,681 | ||||
| U.S. dollars | $17,626 | $5,629 | |||||||||||||||||||||||||
| Total preop + hospitalization | - | - | - | - | - | $16,631 | $14,063 | - | $21,250 | $12,342 | - | - | $11,842 | ? | ? | - | |||||||||||
| Radiology: imaging followup |
| - | - | - | - |
| - | - |
| ![]() | - | ? | ? | - | |||||||||||||
| Endoleak repair |
| - | - | - | - |
| - | - |
| ![]() | - | ? | ? | - | |||||||||||||
| Conversion to OSR |
| - | - | - | - | None needed | - | - |
| ![]() | - | ? | ? | - | |||||||||||||
| “Adverse events” |
| - | - | - | - |
| - | - |
| ? | - | ? | ? | - | |||||||||||||
| Patient costs (time, morbidity) |
| - | - | - | - |
| - | - |
| - | - | ? | ? | - | |||||||||||||
| Total followup | £2,439 | £741 | - | - | - | - | $2,013 | $59 | - | £2,616 | £1,465 | $9,729 (5 years) | - | ? | ? | - | |||||||||||
| GRAND TOTAL | £13,258-4 years | £9,945-4 years | - | - | - | - | $18,644 at 2 years | $14,122 at 2 years | - | £13,632-4 years | £4,983-4 years | - | ? | ? | - | ||||||||||||
Key: explicitly included cost (□); explicitly excluded cost (-); cost not mentioned or inclusion/exclusion uncertain (?).
Studies reporting OSR hospitalization costs for the initial procedure ranged from a low of $9,000 reported by Dryjski et al.156 to a high of $18,500 in Bosch et al.154 This difference is again due in part to Dryjski's explicit exclusion of a number of categories of care as listed above.
Studies reporting hospital charges are generally higher than costs, ranging from $45,000 64 to $50,00051 for EVAR hospitalizations and $31,000 64 to $47,00051 for OSR hospitalizations. The Australian study is on the low end of the scale, reporting costs of approximately $16,000 and $13,400 for EVAR and OSR respectively.157
None of the studies reported on the cost of acquiring new equipment or the training required by surgeons to perform EVAR. Both of these items can be quite costly.
Since the cohort year also represents the year that the grafts were used, it represents the stage of the technology and to some extent the learning curve associated with the procedure. The majority of the EVAR grafts reported on in these studies received FDA approval in 1999.67 The cost of some of these grafts may have been discounted or paid for based on production costs at the time the studies were underway. Once grafts became commercially available, they became more expensive. As the driving force behind the majority of the cost of EVAR is the cost of the graft, associated supplies/equipment, and the degree of complications associated with followup, the cohort year relative to the year the grafts became commercially available is important.
Cost estimates for the EVAR graft range from a low of $7,000 reported for a 1997-1999 patient cohort154 to $13,000 reported for a 2000 patient cohort.156 The graft accounts for a range of 34 percent to 78 percent of the total hospitalization costs reported in these two studies respectively, with the differences in percentages largely a reflection of how comprehensively the authors itemized costs. Bosch et al. relied on graft costs reported in the literature near the time of commercialization and estimated a relatively low price for the graft relative to the cost of the hospitalization, thus contributing to underestimating the total hospitalization costs for EVAR, underestimating the difference in the cost of EVAR relative to OSR, and underestimating the percent of total hospitalization costs attributable to the graft.154 In contrast, Dryjski et al. underestimated the cost of the hospitalization relative to the graft by excluding a number of categories of necessary hospital services from the cost estimate.156
The adequacy of Medicare reimbursement for either procedure varies by type of hospital, geographic region, and type of grafts used primarily for EVAR. Several studies report that from a hospital's perspective, reimbursement may not be sufficient to cover the cost of EVAR hospitalization, primarily because the DRG rates were set before EVAR procedure was introduced, thus not taking into account the cost of the prosthesis (graft). Studies published in the late 1990s rely on production costs associated with grafts. Once grafts obtained FDA approval and became commercially available, grafts essentially doubled in price, making it more difficult for hospitals to break even based on Medicare reimbursement rates for AAA repair. As Medicare reimbursement rates for AAA repair do not differentiate between EVAR and OSR, they do not reflect the high cost of the EVAR grafts or differences in length of stay. Hospitals may thus be trading off savings from reduced length of stay against the cost of the EVAR prosthesis.
Measures of effectiveness include the LOS associated with the initial hospitalization, ICU time, mortality (in-hospital, 30 day) and morbidity, complication, and reintervention rates. EVAR has a shorter LOS associated with the initial hospitalization, range 2.0 days,151 to 10 days13 includes preoperative assessments) compared to OSR, range 7.3 days151 to 15.7 days.13 The longer length of hospital and ICU length of stay are based on the randomized trials that were conducted in Europe and thus may not be comparable to U.S. settings. Less ICU time is associated with EVAR's initial hospitalization, range 0.6 days152 to 1.4 days,156 compared to OSR, range 2 days64 to 3.5 days.151 Thus, EVAR is associated with less resource use in terms of a patient's time spent in the hospital as well as use of the ICU. Because hospital beds are expensive and essentially define the hospital's capacity/ability to serve patients, from the hospital's perspective, EVAR may represent a more efficient use of hospital resources than OSR.
Short-term benefits associated with EVAR include reduced LOS, reduced use of ICU, reduced operative, and 30-day mortality and morbidity. However, results of two RCT comparing EVAR with OSR have provided additional midterm outcome data after 2–4 years of followup. The results from these studies (which were not conducted in the U.S.) indicate that compared to OSR, EVAR reduces AAA related mortality by 3 percent. However, after 2 years there was no difference in overall survival. Differences in health related quality of life were small, may not be clinically noticeable, and disappeared after 3 months. EVAR costs were higher than OSR and were associated with more complications, need for reinterventions, and continued monitoring.
Although Bosch and Patel varied their analytical assumptions and conducted sensitivity analyses, they did not vary their assumptions simultaneously by employing probabilistic sensitivity analyses to fully test the robustness of their findings as recommended by the U.S. Panel on Cost Effectiveness in Health and Medicine.160–162
In a more recent, rigorous approach to Markov modeling, Michaels et al.17 used data from the EVAR trials and concluded that EVAR was NOT cost effective, in that the extra cost was not worth the gain in QALYs.17 Their ICER was £110,000 per QALY, which is well above accepted norms for cost effective procedures.65, 160 Michaels et al.17 found that the cost effectiveness of EVAR and OSR is sensitive to assumptions regarding lower early morbidity for EVAR, higher operative mortality rate for OSR, higher need for followup care for EVAR, higher reintervention/ complication rates for EVAR, e.g., 25–30 percent for EVAR versus 0 percent for OSR, and higher costs associated with care provided to EVAR patients, regardless of time frame.
Michaels et al. point out that there is a time dependent effect.17 Studies conducted within a relatively short timeframe fail to adequately address the long-term benefits, harm, or costs associated with EVAR. Decreased operative mortality rates associated with EVAR may be offset by higher complication rates later in life. If followup costs associated with complications and reinterventions for EVAR are ignored, then EVAR's low operative mortality rates favor EVAR and may lead to the premature conclusion that EVAR is a cost effective alternative to OSR. This assumption is particularly relevant given the midterm results from RCTs demonstrating that compared with OSR, EVAR offered no advantage in all-cause mortality or health related quality of life and led to a greater number of complications and reinterventions.
In terms of the cost effectiveness of the two procedures, Michaels et al. found that OSR dominates if operative mortality rates are less than 3 percent.17 OSR is preferred if EVAR's cost/QALY is greater than $30,000 and if operative mortality rates for OSR are between 3 percent and 11 percent. EVAR dominates if operative mortality rates are greater than 40 percent. If EVAR costs are similar to OSR, and/or if EVAR reintervention rates are cut by 50 percent, then EVAR is preferred over OSR. If operative mortality rates are between 11 percent and 40 percent, Michaels et al. report that the outcome of whether EVAR is a cost-effective alternative to OSR is uncertain.17 Again, this cost effectiveness analysis did not include the midterm results from RCT.
Although Michaels takes the most rigorous approach employing probabilistic sensitivity analyses, they do not explicitly state their assumptions regarding what cost categories they considered for the initial procedure, nor for the cost of the EVAR prosthesis. The authors state that this new technology comes at a considerable price, yet no explicit monetary value was reported, nor was any sensitivity analyses on the cost of the graft and its effect on the cost effectiveness of EVAR relative to OSR conducted.
Michaels also reported that EVAR was cost effective compared to no intervention in individuals with large AAA who were judged medically unfit for OSR.17 However, they did not use results from EVAR-2 that directly compared EVAR with no intervention.145 The findings from this RCT demonstrated that EVAR had a considerable 30-day operative mortality in patients already medically unfit for OSR. EVAR did not improve survival compared to no intervention, had little effect on health-related quality of life, and was associated with a need for continued surveillance and reinterventions, at substantially increased cost. Therefore, the authors of EVAR-2 concluded that they saw no reason to pursue cost-effectiveness modeling.
None of these Markov studies analyzing the cost effectiveness of AAA repair included the less favorable midterm results regarding quality of life, survival, complications, or need for reintervention described above from recently reported RCTs of EVAR versus OSR. Furthermore, as no RCT studies have been completed within the U.S., the relevance of the cost data incorporated within these Markov studies from other countries is questionable.
Although none of the studies give confidence intervals around the cost effectiveness ratios, the use of probabilistic sensitivity analyses (PSA) and the percent of simulations falling below the reference threshold addresses this issue. However, for those studies not using PSA, because of the large observed variability in operative mortality, EVAR complication rates and the need for reintervention, confidence intervals would help clarify the significance of the point estimate, and the comparability of the reported cost effectiveness ratios. For all of the reasons mentioned above, the cost effectiveness of EVAR versus OSR remains unclear, particularly for specific patient cohorts defined by age, aneurysm size, and comorbidity.
AAA are associated with considerable morbidity, mortality and health-care costs. Elective OSR has traditionally been considered the intervention of choice to reduce the risk of AAA rupture and improve survival in individuals at high risk of rupture. However, EVAR has become widely used based on belief that it may provide long-term prevention of ruptures with low intervention morbidity and mortality and improved length and quality of life. Approximately one-half of large AAA might be anatomically suitable for EVAR. Results from this systematic review provide the most up-to-date evidence related to the natural history, treatment, and costs associated with asymptomatic nonruptured infrarenal AAA. This report also evaluates evidence related to the relationship of surgical and hospital volume on outcomes for both OSR and EVAR.
AAA is predominantly a condition of older men with a much lower prevalence in younger persons and women. The strongest known predictor of AAA rupture is initial or attained size. Patients with AAA <5.5 cm have an annual risk of rupture of approximately 1 percent. For AAA <5.5 cm in diameter, high-quality RCT results demonstrate that active surveillance with ultrasound and delayed OSR (if AAA attains a diameter of ≥5.5 cm or the patient develops aneurysm related symptoms) results in equivalent mortality but lesser morbidity and operative costs due to fewer interventions compared to immediate OSR. Therefore, for AAA <5.5 cm, active surveillance and delayed OSR if AAA diameter exceed 5.5 cm (or in those that develop symptoms consistent with impending rupture) results in comparable long-term survival and quality of life, fewer OSR, and lower costs than immediate OSR regardless of age or gender. There are no RCT evaluating EVAR in these patients.
Among individuals with large AAA and refusing or medically unfit for OSR, the 1 year rupture risk may exceed 10 percent in AAA >6 cm and for AAA of >8 cm, the risk may exceed 25 percent at 6 months. For AAA ≥5.5 cm and suitable for EVAR, high-quality RCTs have been conducted outside the U.S. and may have used some EVAR devices that are not approved for use in the U.S. Their results demonstrate that compared to OSR for medically fit patients, EVAR is associated with lower perioperative morbidity and mortality and persistent reduction in AAA-defined mortality to 4 years, though the latter may be due, at least in part, to ascertainment bias for later term cause of death. EVAR did not improve longer term overall survival or health status and was associated with greater complications, need for reintervention, long-term monitoring, and costs. Because decisions regarding the risks and benefits of AAA treatments should incorporate a long-term time frame, additional followup information beyond 4 years is needed. There are insufficient data to determine whether outcomes varied according to device type.
For the minority of patients with AAA ≥5.5 cm judged medically unfit for OSR, one high-quality RCT conducted in the U.K. with EVAR devices that may not be approved for U.S. use demonstrated that EVAR did not improve survival at 3 years or health status and costs more than no intervention. More than 60 percent of the no intervention group died indicating that longer followup was unlikely to alter results. Refinements in EVAR devices or provider experience may result in different outcomes. Therefore a RCT conducted in the U.S. with currently approved EVAR devices in these patients is indicated. However, unless results from such a RCT refute findings from EVAR-2, the RCT data provide the highest quality evidence available for treatment decision making and do not support the widespread practice of using EVAR to treat AAA in patients judged to be too sick for OSR. Patient treatment preference is difficult to ascertain. How the results of RCT influence patient and provider treatment preference in the U.S. is not known.
Data from nonRCT are limited by lack of randomization as well as incomplete followup reporting of entered patients. They cannot be used as substitutes for RCT to evaluate the comparative effectiveness and adverse effects of AAA treatment options. Few studies provided an evaluation according to device or patient characteristics. None represent head to head comparisons from RCT. Furthermore, patient or aneurysm factors could influence outcomes. Therefore, it is hazardous to make definitive statements regarding relative safety or effectiveness. While it is not possible to make direct comparisons with RCT, most reports explicitly stated patients were candidates for OSR. Baseline patient characteristics, AAA diameter, 30 day and 2 year overall, and AAA mortality as well as EVAR conversion rates and secondary interventions for included patients were similar to those from EVAR-1 and DREAM. None of these reports assessed EVAR in patients with AAA ≥5.5 cm and considered “medically unfit for OSR.” One report evaluated outcomes of EVAR and OSR in a retrospectively defined “high surgical risk” subgroup of patients entered into any of five nonrandomized multicenter IDE studies leading to FDA approval of EVAR devices. Inclusion criteria for the IDE studies required that patients were candidates for OSR, though in one study patients were prospectively defined as being at high risk for OSR due to age >80 years or other pathophysiologic conditions. It is not known whether any were judged medically unfit for OSR. After 4 years, deaths categorized as due to AAA were similar between EVAR and OSR patients. Overall-survival in EVAR treated patients was 10 percent lower compared to OSR, though this difference was not statistically significant.
Because of the relatively low 30-day procedure related morbidity and mortality, treatment with EVAR of patients with smaller AAA has occurred. Therefore, while the total number of interventions for AAA has remained relatively constant over time, the proportion of patients treated with EVAR has increased. There are no published investigations of relationships between hospital or physician volume and any outcome of EVAR of AAA. Published and ongoing EVAR RCT have required that investigators and their facilities have experience in use of this procedure. The threshold for permitting participation varies from 5 to 20 and were not based on evidence.
The volume of OSR procedures done by hospitals and physicians to repair unruptured AAA was inversely associated with short-term mortality in the 1990s when EVAR procedures were being investigated. Surgeon volume may explain a large portion of the effect of hospital volume, although hospital volume appears to have an effect that is not related to surgeon volume or surgeon specialty. Uncontrolled risk factors might account for some of the volume effects. The one study that was able to control for preoperative clinical measures did not find a significant association between hospital volume and mortality.139 Otherwise, the reasons for the observed relationships between the volume of procedures done by hospitals or surgeons over a period of time and short-term mortality have not been clearly established. The imprecision inherent in measuring outcomes of very low-volume providers isn't always taken into account and may unduly influence estimates in some studies. Even though policymakers such as the Leapfrog group have somewhat arbitrarily selected cutoffs to define preferred ‘high’ volume hospitals for OSR of AAA, investigators have not identified optimal thresholds for grouping providers by volume in an effort to improve outcomes. Furthermore, this question needs to be revisited since EVAR has replaced OSR in a substantial percentage of AAA.
The cost effectiveness of EVAR relative to OSR is difficult to determine for several reasons: there are no long term (>4 year) outcome data from RCT of EVAR versus OSR; evolving EVAR technological refinements and provider experience may push EVAR towards being an effective and cost-effective alternative to OSR; it is difficult to extrapolate the cost experience in one country to that in another with a different health care and payment system; the perspective of the concerned party is critical in such analyses.
Case series focusing on hospital costs generally found that EVAR costs more to perform than OSR, primarily due to the cost of the prosthesis. The high cost of the EVAR prosthesis is partially offset by reduced hospital and intensive care unit length of stay, operating time, and necessity for blood transfusion relative to OSR. More comprehensive cost analyses noted the higher followup costs for EVAR.
None of the Markov cost effectiveness models had accurate data on the complication and reintervention rates associated with EVAR. Although the Michaels et al. study is based on the literature published through September 2004, several case series have come out since then, and data from midterm results of RCTs were not included.17
Results from additional RCTs, comparing EVAR and OSR for large AAA and EVAR versus surveillance for small AAA conducted in the U.S. have not yet been published. It is not clear how these costs would directly relate to U.S. settings. Trials conducted outside the U.S. do not reflect U.S. norms associated with resource valuation, utilization of health care resources, practice variation, and U.S. health care expertise. Decisions based on costs may differ with the locus. For example, hospitals may be willing to consider trading higher procedural costs for shorter lengths of stay.
Data from RCTs demonstrate that for small AAA (<5.5 cm) immediate OSR costs more and does not improve survival compared to active surveillance and delayed elective intervention. For large AAA (≥5.5 cm) among patients fit for OSR, EVAR has greater short- and long-term costs, does not improve overall survival or quality of life beyond 1 year, and is associated with greater long-term complications, need for reintervention, and long-term monitoring compared to OSR. EVAR is associated with shorter hospital and intensive care unit length of stay, reduced AAA mortality, and lower 30-day morbidity and mortality, compared with OSR. In patients with AAA ≥5.5 cm and judged medically unfit for OSR, EVAR did not improve survival or quality of life among those who were alive and was associated with higher costs compared to no intervention.
The analyses conducted in the UK reflect concerns relevant to the NHS that may not be as important in a U.S. context. For example, whereas EVAR's potential to free up hospital beds may be important to NHS hospitals pressed for space, in the American context this aspect of EVAR has more salience for hospitals trading off LOS for a more expensive EVAR prosthesis under a fixed payment DRG reimbursement approach.
Other issues regarding the published data used in the Markov models include the transferability of results found in case series studies to different patient populations, e.g., of different aneurysm size. As new clinical devices are continually being introduced in the market, technological improvements may change the mortality and morbidity rates associated with EVAR in particular. The evidence of a learning curve or improvements in device manufacturing associated with EVAR may be associated with a lower long-term mortality, morbidity, and need for monitoring and reintervention that might someday demonstrate that EVAR is a cost effective alternative to OSR. Finally, because the 30-day mortality rates associated with OSR are variable, the significance of the differences in mortality rates between EVAR and OSR is obscured. The variability associated with operative mortality translates to greater uncertainty and higher risk to patients considering OSR. If improvements in long-term morbidity and mortality with EVAR are demonstrated in the future, this may make EVAR a favorable alternative to OSR from the patient's perspective.
When conducting CEA, a common concern among researchers is that one needs to account for the fact that patients who die cost less in terms of health care expenditures than patients who live longer. The treatment arm that results in higher mortality rates would thus have lower costs reflected in the numerator of the cost effectiveness ratio. The standard approach to adjusting the cost effectiveness ratio for deaths is to assume that the QOL associated with death is zero in the denominator.160 The assumption is that QOL takes into account the disutility associated with morbidity/mortality. As long as the QOL scale also reflects the disutility of lost earnings, solely relying on the QOL to account for deaths in the denominator is permissible. If the QOL scale does not reflect lost earnings, then the numerator must reflect the patients' lost earnings as part of the cost associated with each treatment. Although some might attribute the QOL associated with death as zero, others may think of death as having a higher QOL than other outcomes, such as living with pain.
Different components of cost may have different salience in different national health contexts. When comparing results of economic analyses across countries, there is currently no consensus or standard on how to do this. Simply factoring in the foreign exchange rate, for example, overlooks the variance in utilization and cost estimates across countries due to differences in physician practice patterns, resource valuation, and resource use. Reed et al. discuss the strengths and weaknesses of various methods used to pool cost estimates across countries.164 Methods are differentiated according to whether measures of effectiveness, resource utilization, and cost are derived from one or multiple countries. Strengths and weaknesses are based on balancing concerns about generalizability, transparency, and statistical power. Tradeoffs exist between trying to keep things simple enough for other researchers to implement (e.g., a one-country costing approach) and losing internal validity associated with a multinational costing approach. One-country costing disrupts the theoretical relationship between relative costs and resource use. Reed et al. note that using relatively high U.S. unit costs overestimates total costs as well as the absolute difference in costs between treatment groups, inflating the numerator of an ICER.164
Results from nonrandomized trials, case-series, or FDA reports are inadequate to accurately assess the relative effectiveness and safety of treatments for AAA. The highest priority for future research to guide clinical care is to conduct long-term RCTs in the U.S. to assess whether RCT results of EVAR conducted in Europe apply to U.S. settings. These include EVAR vs. OSR for AAA ≥5.5 cm in patients judged medically fit for OSR (analysis of results according preplanned categories of AAA, operative risk, gender, and device characteristics appears warranted), EVAR versus active surveillance for AAA <5.5 cm, and EVAR versus no intervention for AAA ≥5.5 cm in patients medically unfit for OSR.
Effective strategies are required to disseminate and implement the findings from published high-quality RCTs to patients, providers, health-care organizations, and payers.
Additional information on the benefits and risks of treatments in women are needed.
Refinements in EVAR devices, technique, and interventionist team are required to reduce complications and need for long-term followup.
Although studies cannot avoid measurement error associated with outcomes resulting from incorporating new devices into them, more research is needed to identify whether outcomes for EVAR vary according to device manufacturer or type and patient or aneurysm characteristics. Ideally, these would be obtained by conducting direct comparison RCTs.
Consistent/validated definitions of outcomes including AAA mortality; complications, and need for reintervention are required to assist clinicians, investigators, policy makers, and patients to evaluate relative safety and effectiveness of treatment options. In particular, cause of death ascertainment beyond 30 days or the initial hospitalization is problematic. Reducing ascertainment bias likely requires rigorous adjudication of all deaths including use of autopsy and/or post-mortem imaging.
Conduct RCTs to determine whether medical therapy slows AAA enlargement or rupture. Previous trials were inadequately powered to provide clinically meaningful results.
Improve data submission, followup, and cause of death ascertainment in registries.
Improvement in medical management of patients with large AAA considered unacceptable for OSR is needed.
Specific studies of EVAR are needed to characterize the hospital and physician volume-outcome relationship, if any. The validity of methods used to identify and count EVAR procedures should be examined and reported. Studies should measure volume in a consistent manner and focus on outcomes defined in reporting standards including clinical success, continuing success, complications, and return to preprocedure activity levels. Risk adjustment should include patient demographics, comorbidity, morphology of the aneurysm and access vessels, device characteristics, and any other variables that could have a substantial influence on the outcomes under investigation. Rigorously developed and tested regression models and examination of the sensitivity of results to the method of analysis would be useful. Most likely, representative prospective registries will be needed to perform a proper indepth analysis to determine whether and how the volume of endovascular procedures done by hospitals or physicians to repair AAA relate to beneficial or adverse outcomes. Ideally, future studies would strive to characterize the functional form of volume-outcome relationships and explain why they exist. The volume-mortality relationship for OSR of AAA needs to be reexamined in the EVAR era.
Future cost analyses studies should include short- and long-term followup data, either collected prospectively on all patients or incorporated from RCTs into Markov models.
Studies should follow a standardized approach to analyzing costs and effectiveness associated with the two procedures. Studies should explicitly describe the methods used to calculate costs and should include the following categories: direct medical care costs, institutional overhead costs, patient travel costs, and patients' time and/or lost earnings. The collection of these costs should be carefully itemized and described.
Studies conducting prospective data collection in the United States taking a societal perspective are needed. Where appropriate, data should be collected on the patient's time taken off work or other activities to travel and attend medical appointments, whether on an inpatient or outpatient basis, and to obtain prescriptions.
Data on United States patient's QOL, where the treatment of the QOL associated with lost earnings and death is explicitly stated, should also be collected.
AAA are associated with considerable morbidity, mortality and health-care costs. Patients with AAA <5.5 cm have an annual risk of rupture of approximately 1 percent. For AAA <5.5 cm in diameter high-quality RCT results demonstrate that active surveillance with ultrasound and delayed OSR (if AAA attains a diameter of ≥5.5 cm or the patient develops aneurysm related symptoms) results in comparable long-term survival and quality of life, fewer OSR, and lower costs than immediate OSR regardless of age or gender. There are no RCTs evaluating EVAR in these patients.
Among individuals refusing or medically unfit for OSR the 1-year rupture risk may exceed 10 percent in AAA >6 cm and for AAA of >8 cm, the risk may exceed 25 percent at 6 months. For AAA ≥5.5 cm and suitable for EVAR, high-quality RCTs have been conducted outside the U.S. and may have used some EVAR devices that are not approved for use in the U.S. Their results demonstrate that, compared to OSR, EVAR is associated with lower perioperative morbidity and mortality and persistent reduction in AAA-defined mortality to 4 years, though the latter may be due, at least in part, to ascertainment bias for later term cause of death. EVAR did not improve longer term overall survival or health status and was associated with greater complications, need for reintervention, long-term monitoring, and costs.
For the minority of patients with AAA ≥5.5 cm and judged medically unfit for OSR, one high-quality RCT conducted in the U.K. and with EVAR devices that may not be approved for use in the U.S. demonstrated that EVAR did not improve survival or health status and costs more than no intervention.
There are no data adequate to estimate the effect of hospital or physician volume on EVAR outcomes and identify a volume threshold for policymakers. A volume outcome relationship for OSR has been shown for surgery prior to the introduction of EVAR, but none since.
The cost effectiveness of EVAR relative to OSR is difficult to determine for several reasons: there are no long term (>4 year) outcome data from RCT of EVAR versus OSR; evolving EVAR technological refinements and provider experience may push EVAR towards being an effective and cost-effective alternative to OSR; it is difficult to extrapolate the cost experience in one country to that in another with a different health care and payment system; and the perspective of the concerned party is critical in such analyses.
| AAA | Abdominal Aortic Aneurysm |
| ACE | AnEVARysme de l'aorte abdominal: Chirurgie versus Endoprothese |
| ADAM | Aneurysm Detection and Management |
| AHIP | America's Health Insurance Plans |
| AHQR | Agency for Healthcare Research and Policy |
| ARR | Absolute Risk Reduction |
| CAESAR | Comparison of surveillance versus Aortic Endografting for Small Aneurysm Repair |
| CI | Confidence Interval |
| CM | Conservative Management |
| COPD | Chronic Obstructive Pulmonary Disease |
| CT | Computed Tomography |
| CTA | Thin-Cut Helical/Spiral CT Arteriography |
| DREAM | Dutch Randomized Endovascular Aneurysm Management |
| DRG | Diagnosis Related Group |
| EGS | Endovascular Aortoiliac Grafting System |
| EPC | Evidence-based Practice Center |
| EVAR | Endovascular Repair |
| FDA | Food and Drug Administration |
| FEV1 | Forced Expiratory Volume in 1 second |
| HR | Hazard Ratio |
| ICD-9-CM | International Classification of Diseases, 9th Revision, Clinical Modification |
| ICER | Incremental Cost Effectiveness Ratio |
| ICU | Intensive Care Unit |
| IDE | Investigational Device Exemption |
| IQR | Interquartile Range |
| LOS | Length of Stay |
| NHS | National Health Service |
| NICE | National Institute of Clinical Excellence |
| NRCTs | Nonrandomized Controlled Trials |
| OSR | Open Surgical Repair |
| OVER | Open Versus Endovascular Repair |
| PIVOTAL | Positive Impact of endovascular Options for Treating Aneurysms |
| PSA | Probabilistic Sensitivity Analysis |
| QALY | Quality Adjusted Life Years |
| QOL | Quality of Life |
| RCT | Randomized Controlled Trials |
| RD | Risk Difference |
| RR | Relative Risk |
| SF-36 | Short Form-36 |
| TEP | Technical Expert Panel |
| UKSAT | United Kingdom Small Aneurysm Trial |
| USPSTF | U.S. Preventive Services Task Force |
| VA | Veterans Administration |
| TEP Member | Area of Expertise |
|---|---|
| R. Clement Darling, III, MD | Vascular surgery |
| Russell Harris, MD, MPH | Internal medicine |
| Wayne Johnston, MD, FRCSC, FACS | Vascular surgery |
| Jon S. Matsumura, MD | Vascular surgery |
The literature search was done on MEDLINE (via OVID) using the following combination of MeSH headings, keywords, and publication types (search results were limited to clinical trials, clinical trials phase I, clinical trials phase II, clinical trials phase III, clinical trials phase IV, controlled clinical trials, meta analyses, or randomized controlled trials):
(aortic aneurysm/ OR aortic aneurysm, abdominal/)
AND
((Blood Vessel Prosthesis/ OR Blood Vessel Prosthesis Implantation/ OR (endovascular repair.mp. OR evar.mp. OR Stents/) OR (vascular surgical procedures/ OR open surgery.mp.))
The literature search was done on MEDLINE (via OVID) using the following combination of MeSH headings, keywords, and publication types (search results were limited to humans, English language, and years 2000-2005):
((hospital.tw. AND volume.tw.) AND ((outcome.mp. AND process assessment health care.sh.) OR outcome.tw. OR (mortality.tw. OR risk.tw. OR quality.tw.)))
AND
(Aortic Aneurysm, Abdominal/)
The literature search (taken from Meenan 2005 [AHRQ report])17 was done on MEDLINE (via OVID) using the following combination of MeSH headings and keywords (search results were limited to English language, and years 2000-2005):
(aortic aneurysm, abdominal/ OR (aortic and aneurysm$ and abdom$).ti,ab.)
AND
(ECONOMICS/ OR economics, nursing/ OR economics, pharmaceutical/ OR ec.fs. OR (econom$ or cost or costs or costing or pharmacoeconomic$).ti,ab. OR (expenditure$ not energy).ti,ab. OR “costs and cost analysis”/ OR cost allocation/ OR cost-benefit analysis/ OR cost control/ OR cost savings/ OR cost of illness/ OR cost sharing/ OR “deductibles and coinsurance”/ OR medical savings accounts/ OR health care costs/ OR direct service costs/ OR drug costs/ OR employer health costs/ OR hospital costs/ OR health expenditures/ OR capital expenditures/ OR economics, hospital/ OR hospital charges/ OR hospital costs/ OR economics, medical/ OR fees, medical/)
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Free Full text in PMC]Abdominal Aortic Aneurysm (AAA): Surveillance Article Abstraction Form (pages D-2 – D-9)
Abdominal Aortic Aneurysm (AAA): Open vs. Endovascular Repair RCT Article Abstraction Form (pages D-10 – D-16)
Abdominal Aortic Aneurysm (AAA): Hospital/Surgeon Volumes Abstraction Form (pages D-17 – D 27)
To see the Data Extraction Forms, please select the link below. This link will take you to a PDF version of the forms.
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Free Full text in PMC]Appendixes and Evidence Tables for this report are provided electronically at http://www.ahrq.gov/clinic/tp/aaareptp.htm