Statins Reduce Abdominal Aortic Aneurysm Growth, Rupture, and Perioperative Mortality: A Systematic Review and Meta‐Analysis
Abstract
Background
There are no recognized pharmacological treatments for abdominal aortic aneurysms (AAA), although statins are suggested to be beneficial. We sought to summarize the literature regarding the effects of statins on human AAA growth, rupture, and 30‐day mortality.
Methods and Results
We conducted a systematic review and meta‐analysis of randomized and observational studies using the Cochrane CENTRAL database, MEDLINE, and EMBASE up to June 15, 2018. Review, abstraction, and quality assessment were conducted by 2 independent reviewers, and a third author resolved discrepancies. Pooled mean differences and odds ratios with 95% confidence intervals were calculated using random effects models. Heterogeneity was quantified using the I2 statistic, and publication bias was assessed using funnel plots. Our search yielded 911 articles. One case‐control and 21 cohort studies involving 80 428 patients were included. The risk of bias was low to moderate. Statin use was associated with a mean AAA growth rate reduction of 0.82 mm/y (95% confidence interval 0.33, 1.32, P=0.001, I2=86%). Statins were also associated with a lower rupture risk (odds ratio 0.63, 95% confidence interval 0.51, 0.78, P<0.0001, I2=27%), and preoperative statin use was associated with a lower 30‐day mortality following elective AAA repair (odds ratio 0.55, 95% confidence interval 0.36, 0.83, P=0.005, I2=57%).
Conclusions
Statin therapy may be associated with reduction in AAA progression, rupture, and lower rates of perioperative mortality following elective AAA repair. These data argue for widespread statin use in AAA patients.
Clinical Trial Registration
Clinical Perspective
What Is New?
•
Statin therapy is associated with reductions in abdominal aortic aneurysm growth, rupture rate, and perioperative mortality following elective abdominal aortic aneurysm repair.
What Are the Clinical Implications?
•
Healthcare providers managing patients with abdominal aortic aneurysms should consider starting statins in all such patients even in the absence of other cardiovascular indications for statin therapy.
Abdominal aortic aneurysms (AAA) are focal dilatations of the abdominal aorta with an incidence of 3.5 to 6.5/1000 person years and a prevalence of 4% to 8%. The natural history of AAAs involves growth at 2 to 4 mm/y, and eventual rupture and death.1 Open surgical repair of AAAs is associated with a 3% to 8% perioperative mortality.2 The introduction of endovascular aortic repair (EVAR) in the 1990s revolutionized the treatment of AAAs when early randomized trials demonstrated significant reductions in perioperative mortality and statistically significant reductions in operative time, blood loss, transfusion requirements, intensive care unit lengths of stay, and reductions in moderate and severe cardiopulmonary complications.2 Unfortunately, the initial success of EVAR was marred with the emergence of unique complications including endograft migration, limb kinking, stenosis, occlusion, perforation, stent fracture, endoleak, and secondary rupture.10 Despite endograft reengineering, EVAR is still afflicted by these complications and continues to require life‐long follow‐up and repetitive radiation exposure.
Unfortunately, there are no pharmacotherapies proven to attenuate the rate of progression and minimize the rupture risk of AAA. However, statins have long been regarded as candidates for this role because of their pleiotropic effects. Several studies have demonstrated that statins reduce vascular inflammation and can stimulate atherosclerotic plaque regression.15 The reduction of vascular inflammation has been shown to address a key pathophysiologic collagenolytic pathway involved in AAA progression. In fact, statins have been shown in both animal and human studies to reduce collagen breakdown by stabilizing imbalances in matrix metalloproteinases (MMPs) and tissue inhibitors of matrix metalloproteinases.18
The effects of statins on AAA‐related outcomes have previously been summarized.21 However, only a minority of these studies26 conducted meta‐analyses, none of them analyzed AAA rupture risk, and considerable amounts of new data have emerged since their publication. The aims of this systematic review and meta‐analysis are to summarize and mathematically synthesize the available medical literature regarding the effects of statins on AAA growth, rupture, and elective perioperative mortality.
Methods
Search Strategy and Selection Criteria
We conducted a systematic review of the medical literature according to the 2009 Preferred Reporting Items for Systematic Reviews and Meta‐Analyses statement guidelines.34 Our search strategy was devised in consultation with an experienced cardiovascular librarian. We searched the Cochrane Central Register of Controlled Clinical Trials (inception to May 2018), OVID versions of MEDLINE and MEDLINE Daily including e‐publications and in‐progress and nonindexed citations (inception to June 15, 2018), and EMBASE including EMBASE Classic (inception to June 15, 2018) for studies examining the effects of statins on AAA outcomes using a combination of medical subject heading terms and keywords for AAA and statins, including a list of generic statin names in order to maximize our search sensitivity. We limited our search to human studies and did not apply any language limitations. We also hand‐searched the reference lists of any reviews identified by our strategy to maximize sensitivity and reduce publication bias. A detailed search strategy for all sources can be found in Data S1 and S2.
Study titles and abstracts were screened for relevance by 2 independent reviewers (K.S. and M.S.), and a third author (M.A.H.) resolved any discrepancies. We included all randomized and observational studies that assessed the effects of statin therapy on AAA growth, rupture, or elective perioperative mortality in nonruptured patients with AAA. We defined AAAs as aortas measuring >3 cm in diameter by any imaging modality. We attempted to limit our study population to adults with degenerative AAAs. Only studies reporting data on patients with a mean/median age >50 years old were included if AAA etiology was not specifically stated because the incidence of degenerative AAAs is known to begin after this age cutoff. We did not select for specific statins or dosing regimens, and no specific minimum duration of drug therapy was required. Studies reporting aneurysm growth as an outcome were included if at least 2 measurements of aneurysm size using any single imaging modality were used. We excluded case reports, case series (<30 patients), all reviews, and any other studies that did not meet our inclusion criteria.
Data Collection and Analysis
Data were collected by 2 independent abstractors (K.S. and M.S.) using a prepiloted standardized electronic data collection form, and a third author (M.A.H.) adjudicated resolution of any discrepancies. Collected variables included study authors, year of publication, design, sample size, outcomes reported, cohort demographics, and covariates as well as study effect size measurements. Authors were contacted by e‐mail correspondence for additional covariate data if not grouped by statin versus control in the original publication. Study quality and bias were assessed using the Newcastle‐Ottawa Scale.35
We conducted a meta‐analysis of the effects of statins on AAA growth, rupture, and elective perioperative mortality using published summary data and any additional summary data provided by authors. We calculated pooled mean differences and 95% confidence intervals (95% CIs) for AAA growth, and the effects of statins on AAA rupture and perioperative mortality were summarized using odds ratios (ORs) and 95% CIs. A subgroup analysis was conducted to assess the effects of statins on AAA growth by baseline AAA diameter (<4 cm versus ≥4 cm) because aneurysm growth rate is known to increase with aneurysm size, thereby implying a greater potential growth reduction benefit for larger aneurysms. In addition, perioperative mortality is known to differ considerably between open surgical repair and EVAR. Consequently, we analyzed the effect of statins on perioperative mortality following elective AAA repair by repair approach (open surgical repair versus EVAR). Because the approach to statin therapy has changed as understanding of high‐ versus moderate‐ and low‐intensity treatment regimens has expanded, we also analyzed the effect of statins on AAA growth and 30‐day mortality by year of study publication. We used 2007 inclusive as the cutoff because the majority of statin regimen–comparing randomized trials were published before this year.36 Finally, we planned to conduct sensitivity analyses for each outcome, excluding any studies with a high probability of bias (Newcastle‐Ottawa Scale score ≤5).
All analyses were conducted in Review Manager 5.3 (The Nordic Cochrane Centre, The Cochrane Collaboration, Copenhagen, Demark) based on random‐effects models, using adjusted data where available. We used the inverse‐variance method for AAA growth and the generic inverse variance method for rupture and 30‐day mortality to make use of adjusted‐effect size estimates provided by included studies. Where unavailable, crude ORs were calculated using provided event rates. Standard deviations for meta‐analysis of growth outcomes were calculated according to methods within the Cochrane Handbook for Systematic Reviews of Interventions Version 5.0.2 if they were not reported or could not be obtained.37 The presence of publication and reporting bias was assessed visually for each outcome using funnel plots. Heterogeneity was assessed using the I2 statistic, and significance was set at P<0.05. Our study protocol was registered in the International Prospective Register of Systematic Reviews before study commencement (CRD42017056480). The data, analytic methods, and study materials will not be made available to other researchers for purposes of reproducing the results or replicating the procedure.
Results
Search, Screening, and Full‐Text Review
We identified 1225 publications using our search strategy, and a total of 911 were retained after removal of duplicates. Of the 911 articles screened, 854 were excluded and 57 passed screening. An additional 10 articles were identified by hand search of reviews identified by the search strategy, resulting in 67 articles for full‐text review. Following full‐text review, 45 articles were excluded for failing to report 1 of the outcomes of interest (n=12), for not comparing statins against a control group (n=10), for not studying elective AAA patients (n=10), for being abstracts without associated publications (n=7), for being clinical trial registrations without associated publication (n=2), for using duplicate data (n=3), and for being available only as a non–English language report (n=1). A total of 22 articles were included in our systematic review, and data from 21 of these were used for meta‐analysis. Our search is summarized in the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses flow diagram in Figure 1.

Study Characteristics
Our list of included studies comprised observational studies published between 2004 and 2018. One of these studies was a case‐control study, 5 were prospective cohort studies, and the remainder were retrospective cohort studies. Twelve of the included studies reported AAA growth, 5 reported or provided additional rupture rate data, and 8 reported or provided additional perioperative mortality data. The sample sizes of the included studies varied considerably for each outcome. Growth study sample sizes for the comparison of interest ranged from 121 to 2026 patients, and the follow‐up ranged from 1 to 5 years. Rupture study sample sizes ranged from 121 to 7168 patients, and follow‐up ranged from 1.9 to 3.6 years, although 2 studies did not report the length of follow‐up. Finally, the sample size for the perioperative mortality studies ranged from 400 to 34 822 patients, and all of these studies reported 30‐day mortality or a composite outcome including 30‐day mortality. These characteristics are summarized in Table 1.20
Author | Year | Country | Design | Sample Sizea | Follos‐Up (y)b | Outcomec |
---|---|---|---|---|---|---|
Schouten; van Laanen54 | 2006 | Netherlands | PC | 150 | 3.1 median | Growth |
Sukhija55 | 2006 | US | RC | 130 | 1.95 | Growth |
Schlosser52 | 2008 | Netherlands | PC | 147 | 3.3 median | Growth |
Mosorin49 | 2008 | Finland | RC | 121 | 3.6 | Growth; rupture |
Karlsson43 | 2009 | Sweden | RC | 213 | >1.5 | Growth |
Sweeting56 | 2010 | UK | PC | 1701 | 1.9 | Growth |
Thompson57 | 2010 | UK | RC | 1197 | 3.4 | Growth |
Ferguson40 | 2010 | Australia/NZ | PC | 652 | 5 median | Growth |
Karrowni44 | 2011 | US | RC | 182 | 1 | Growth |
Badger38 | 2011 | Ireland | RC | 143 | NR | Growth |
van der Meij20 | 2013 | Germany | RC | 142 | 1.5 | Growth |
Lederle46 | 2015 | US | RC | 2026 | 3.4 | Growth |
Wemmelund58 | 2014 | Denmark | Case‐Control | 7168 | NR | Rupture |
Gokani42 | 2015 | UK | RC | 983 | NR | Rupture |
Kertai45 | 2004 | Netherlands | RC | 570 | NA | 30‐day mortality/MI |
Leurs47 | 2006 | Europe | PC | 5892 | NA | 30‐day mortality |
Schouten; Kok53 | 2006 | Netherlands | RC | 500 | NA | 30‐day mortality |
McNally48 | 2010 | US | RC | 401 | NA | 30‐day mortality |
Nakayama50 | 2014 | Japan | RC | 869 | 1.9d | 30‐day mortality; growthd; ruptured |
Galinanes41 | 2015 | US | RC | 19 323 | NA | In‐hospital mortality; 30‐day mortality |
DeMartino39 | 2016 | US | RC | 2963 | NA | In‐hospital mortality; 30‐day mortalityd |
O'Donnell51 | 2018 | US | RC | 34 822 | NA | 30‐day mortality |
CC indicates Case‐Control; MI, myocardial infarction; NA, not applicable; NR, not reported; PC, prospective cohort; RC, retrospective cohort.
a
When data are derived from general risk factor studies, listed sample sizes are for the comparison of interest.
b
Follow‐up is mean for primary comparison of interest, unless otherwise indicated. Follow‐up is listed as NA for studies reporting 30‐days or in‐hospital mortality.
c
Only outcomes of interest listed.
d
From additional data provided through correspondence with authors.
Patient Characteristics
The overall age of patients across the studies ranged from 65 to 74 years of age, and this age distribution was similar for each of the outcomes studied. The mean ages of patients in the statin and control groups did not differ by more than 3 years in each individual study. Sex distribution varied considerably among studies, with 67% to 99% of patients being male across studies. Similarly, some individual studies demonstrated considerable differences in sex distribution between the exposure and control groups (78% versus 88% for Kertai et al45). Baseline AAA diameter also varied considerably across all studies and across studies reporting the same outcome. The ranges of baseline AAA diameters were 33 to 68 mm across all included studies, 33 to 46 mm for growth studies, 39 to 68 mm for rupture studies, and 46 to 59 for perioperative mortality studies. The distributions of other important covariates including hypertension, coronary artery disease, hyperlipidemia, smoking history, and diabetes mellitus also varied considerably among studies. Hypertension demonstrated a prevalence of 20% to 90% across all studies, with similar but higher frequencies in statin groups. Similarly, coronary artery disease was present in 16% to 74% of patients and generally more prevalent among statin users. The prevalence of hyperlipidemia was reported by 4 studies and ranged from 31% to 78%, with higher rates among statin users. Table 2 summarizes all available covariate data for the included studies.
Demographics | Baseline Diameter (mm) | Comorbidities/Risk Factors | Medications/Treatments | |||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Age (y) | Male | HTN | DLP | CAD | CHF | CVD | Smokers | COPD | CKD/HD | DM | ACEi | ARBs | Anti‐Platelets | CCB | β‐Blockers | Diuretics | OSR | |||
Schouten; van Laanen54 | Statin | 69 | 91 | 40 | 48 | ··· | 30 | 10 | 13 | 68 | 29 | 9 | 16 | 20 | 16 | ··· | 21 | 41 | 30 | NA |
Control | 69 | 86 | 37 | 39 | ··· | 32 | 5 | 13 | 72 | 26 | 2 | 11 | 29 | 0 | ··· | 21 | 32 | 19 | NA | |
Sukhija55 | Statin | 67 | 84 | 46 | 64 | ··· | 69 | ··· | ··· | 28 | ··· | ··· | 24 | 75 | ··· | 97 | ··· | 77 | ··· | NA |
Control | 66 | 82 | 45 | 62 | ··· | 64 | ··· | ··· | 25 | ··· | ··· | 22 | 71 | ··· | 95 | ··· | 67 | ··· | NA | |
Schlosser52 | Cohort | 65 | 89 | 39 | 87 | 69 | 39 | ··· | 24 | 40 | ··· | 25 | 24 | ··· | ··· | ··· | ··· | ··· | ··· | NA |
Mosorin49 | Statin | 71 | 88 | 39 | 44 | ··· | 77 | ··· | 21 | 24 | 21 | ··· | 15 | 14 | 9 | ··· | ··· | 71 | ··· | NA |
Control | 69 | 90 | 39 | 44 | ··· | 51 | ··· | 13 | 35 | 37 | ··· | 10 | 10 | 7 | ··· | ··· | 49 | ··· | NA | |
Karlsson43 | Cohort | 71a | 77 | 40a | 59 | ··· | 31 | ··· | 14 | 38 | 6 | ··· | 4 | 30 | ··· | 48 | ··· | ··· | ··· | NA |
Sweeting56 | Cohort | 69 | 78 | 43 | 43 | ··· | 43 | ··· | ··· | 36 | ··· | ··· | 4 | ··· | ··· | 29 | 26 | 15 | ··· | NA |
Thompson57 | Cohort | 67 | 94 | 35 | ··· | ··· | ··· | ··· | ··· | 33 | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | NA |
Ferguson40 | Statin | 72 | 91 | 34a | 65 | ··· | 60 | ··· | 14 | 89 | ··· | ··· | 14 | 43 | 15 | 65 | 26 | 35 | ··· | NA |
Control | 74 | 96 | 33a | 54 | ··· | 31 | ··· | 13 | 83 | ··· | ··· | 12 | 30 | 18 | 45 | 21 | 19 | ··· | NA | |
Karrowni44 | Statin | 70 | 67 | 41a | 90 | 82 | 41 | ··· | 24 | 90 | 64 | 30 | 24 | 43 | ··· | 80 | 3 | 49 | ··· | NA |
Control | 69 | 67 | 41a | 89 | 71 | 41 | ··· | 21 | 87 | 60 | 21 | 25 | 13 | ··· | 48 | 19 | 32 | ··· | NA | |
Badger38 | Cohort | 59b | 85 | ··· | 47 | 31 | 41 | ··· | ··· | 30 | 9 | 5 | 11 | ··· | ··· | 60 | ··· | 46 | ··· | NA |
van der Meij20 | Statin | 71 | 89 | 43 | ··· | ··· | 55 | ··· | ··· | 31 | 47 | ··· | 15 | ··· | ··· | ··· | ··· | ··· | ··· | NA |
Control | 69 | 83 | 42 | ··· | ··· | 32 | ··· | ··· | 51 | 41 | ··· | 13 | ··· | ··· | ··· | ··· | ··· | ··· | NA | |
Lederle46 | Cohort | 71 | 99 | 40 | 56 | ··· | 37 | ··· | 12 | 26 | 28 | 7 | 11 | 41 | 5 | ··· | ··· | 41 | ··· | NA |
Wemmelund58 | Cohort | 74a | 83 | ··· | 20 | ··· | 15 | 10 | 17 | ··· | 13 | 5 | 4 | 13 | 4 | 28 | 19 | 16 | ··· | NA |
Gokani42 | Statin | 74 | 85 | 67 | 70 | ··· | 42 | ··· | 11 | 18 | ··· | 17 | 12 | ··· | ··· | ··· | ··· | ··· | ··· | NA |
Control | 74 | 86 | 68 | 30 | ··· | 13 | ··· | 5 | 13 | ··· | 17 | 7 | ··· | ··· | ··· | ··· | ··· | ··· | NA | |
Kertai45 | Statin | 65 | 78 | ··· | 47 | ··· | 67 | 5 | 13 | 30 | 17 | 10 | 9 | 43 | ··· | 35 | ··· | 64 | ··· | 100 |
Control | 71 | 88 | ··· | 49 | ··· | 36 | 3 | 16 | 32 | 30 | 4 | 5 | 28 | ··· | 18 | ··· | 38 | ··· | 100 | |
Leurs47 | Statin | 70 | 95 | 58 | 73 | ··· | 70 | ··· | 22 | 24 | 41 | 18 | 17 | ··· | ··· | ··· | ··· | ··· | ··· | 0 |
Control | 73 | 94 | 59 | 63 | ··· | 59 | ··· | 17 | 24 | 43 | 19 | 12 | ··· | ··· | ··· | ··· | ··· | ··· | 0 | |
Schouten; Kok53 | Cohort | 74 | 87 | 56a | 42 | ··· | 33 | 5 | 15 | ··· | 25 | 6 | 10 | 31 | ··· | 36 | 31 | 73 | 17 | 100 |
McNally48 | Statin | 69 | ··· | ··· | ··· | ··· | 45 | ··· | ··· | ··· | 19 | ··· | 17 | ··· | ··· | ··· | ··· | ··· | ··· | 51 |
Control | 71 | ··· | ··· | ··· | ··· | 36 | ··· | ··· | ··· | 19 | ··· | 16 | ··· | ··· | ··· | ··· | ··· | ··· | 62 | |
Nakayama50c | Statin | 72 | 78 | 46 | 75 | 69 | 57 | 0 | 15 | 30 | 1 | 8 | 30 | 12 | 40 | 51 | 56 | 33 | 9 | 87 |
Control | 74 | 83 | 49 | 67 | 34 | 33 | 0 | 11 | 30 | 4 | 12 | 23 | 7 | 32 | 26 | 46 | 18 | 7 | 83 | |
Galinanes41 | Cohort | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | ··· | 24 |
DeMartino39 | Statin | 70 | 74 | 58 | 86 | ··· | 70 | 8 | 6 | 91 | 32 | 5 | 84 | 21d | ··· | 79 | ··· | 76 | ··· | 100 |
Control | 69 | 71 | 59 | 76 | ··· | 84 | 5 | 4 | 89 | 31 | 4 | 88 | 13d | ··· | 53 | ··· | 62 | ··· | 100 | |
O'Donnell51c | Statin | 73 | 81 | 55 | 87 | ··· | 34 | 12 | ··· | 87 | 32 | 36 | 22 | 50d | ··· | 76 | ··· | 64 | ··· | 22 |
Control | 72 | 77 | 57 | 73 | ··· | 16 | 8 | ··· | 85 | 22 | 34 | 13 | 30d | ··· | 44 | ··· | 41 | ··· | 25 |
All values are expressed as proportions or means for categorical and continuous variables, respectively. Missing values were not reported, could not be calculated from reported data, or authors were not able to provide the. ACEi indicates angiotensin converting enzyme inhibitor; ARB, angiotensin receptor blocker; CAD, coronary artery disease; CCB, calcium channel blocker; CHF, congestive heart failure; CKD/HD, chronic kidney disease/dialysis; COPD, chronic obstructive pulmonary disease; CVD, cerebrovascular disease; DLP, dyslipidemia; DM, diabetes mellitus; HTN, hypertension; NA, not available; OSR, open surgical repair.
a
Indicates median.
b
Age over 70 years.
c
Baseline demographics shown for entire cohort including rupture and elective cases.
d
Includes ACE or ARB use.
Study Quality
Study quality assessment revealed an overall low (Newcastle‐Ottawa Scale score ≥8) to moderate (Newcastle‐Ottawa Scale score 6‐7) risk of bias. The case‐control study was at low risk of bias, with deduction of 1 point for poor case definition. Thirteen of the 20 cohort studies were at low risk of bias, 6 were at moderate risk of bias, and 1 was at high risk of bias. A common issue affecting quality among these studies was poor cohort comparability due to inadequate statistical control for important confounding variables (n=7). Other issues included inadequate description of the outcome assessment method (n=1), length of follow‐up (n=2), and follow‐up completeness/adequacy (n=2). A summary of study quality and risk of bias assessment is presented in Table 3.
Case‐Control Studies | Case Definition | Representativeness of Cases | Selection of Controls | Definition of Controls | Comparability of Cases and Controls | Ascertainment of Exposure | Consistent Exposure Ascertainment | Nonresponse Rate | NOS Score |
---|---|---|---|---|---|---|---|---|---|
Wemmelund58 | 0 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 8 |
Cohort Studies | Representativeness of Exposed Cohort | Selection of Nonexposed Cohort | Ascertainment of Exposure | Absence of Outcome at Start of Study | Comparability of Cohorts | Outcome Assessment | Length of Follow‐Up | Adequacy of Follow‐Up | |
---|---|---|---|---|---|---|---|---|---|
Badger38 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 6 |
DeMartino39 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Ferguson40a | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 0 | 8 |
Galinanes41 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
Gokani42 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Karlsson43 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
Karrowni44 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 8 |
Kertai45 | 1 | 1 | 1 | 1 | 2 | 1 | 0 | 1 | 8 |
Lederle46 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Leurs47 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
McNally48 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
Mosorin49 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Nakayama50 | 1 | 1 | 1 | 1 | 0 | 1 | 1 | 1 | 7 |
O'Donnell51 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Schlosser52a | 1 | 1 | 0 | 1 | 2 | 1 | 1 | 1 | 8 |
Schouten; Kok53 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Schouten; van Laanen54a | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Sukhija55 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 5 |
Sweeting56a | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Thompson57 | 1 | 1 | 1 | 1 | 2 | 0 | 1 | 0 | 7 |
van der Meij20 | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 9 |
Score per the Newcastle‐Ottawa Scale (NOS) for the case‐control and cohort studies. An NOS score ≥8 indicates low risk of bias, 6 to 7 indicates moderate risk of bias, and ≤5 indicates a high risk of bias. A maximum of 1 point is awarded per category, except for comparability of cohorts, where a maximum of 2 points can be awarded.
a
Prospective Cohort study.
Effect of Statin Therapy on Aneurysm Growth Rate
Data from 12 of the 13 studies reporting growth outcomes were usable for meta‐analysis. This included a total of 7614 patients, 2589 (34%) in the statins group compared with 5025 (66%) in the control group. Meta‐analysis demonstrated that statin use was associated with a lower AAA growth rate (mean difference −0.82 mm/y, 95% CI −1.32, −0.33, P=0.001, I2=86%) (Figure 2). Subgroup analysis by baseline AAA diameter demonstrated a greater association between statin use and AAA growth rate reduction in larger aneurysms (mean difference −1.13 mm/y, 95% CI −2.09, −0.17, P=0.02, I2=90% versus mean difference −0.52 mm/y, 95% CI −0.98, −0.06, P=0.03, I2=69%, for ≥4 cm versus <4 cm AAA, respectively) (Figures 3 and 4). The Badger et al38 study was not included in the meta‐analysis because annual growth rate data could not be obtained from the authors. However, their results mirrored those of our meta‐analysis in that statin patients demonstrated lower mean annual AAA growth than controls (4.5% versus 7.5%, P=0.005). Analysis of the effect of study publication year on AAA growth rate demonstrated no significant association between statin therapy and AAA growth rate for studies published up to and including 2007 (mean difference −2.72 mm/y, 95% CI −6.00, 0.56, P=0.10, I2=90%), whereas studies published after 2007 maintained a smaller but still significant association in favor of statin therapy (mean difference −0.61 mm/y, 95% CI −1.09, −0.13, P=0.01, I2=85%). Exclusion of the Sukhija et al study55 from meta‐analysis because of low methodological quality reduced the statin effect on AAA growth rate reduction (mean difference −0.24 mm/y, 95% CI −0.40, −0.08, P=0.004, I2=85%), but the lower effect size maintained statistical significance. All of the growth rate comparisons were affected by significant heterogeneity. A funnel plot of studies investigating the effect of statins on AAA growth rate demonstrated evidence of publication bias (Figure 5). However, the missing studies appeared to be of low quality and symmetrically distributed around the pooled effect estimate.




Effect of Statin Therapy on Aneurysm Rupture Rate
The 4 studies that reported AAA rupture rate included 9327 patients, 1486 (16%) of whom were treated with statins compared with 7841 (84%) controls. The crude rupture rate was 34% (501/1486) for statin patients and 47% (3686/7841) for control patients. Meta‐analysis including available adjusted ORs demonstrated an association between statins and lower rates of AAA rupture (OR 0.63, 95% CI 0.51, 0.78, P<0.0001, I2=27%) (Figure 6). Heterogeneity for this comparison was low, allowing the conduct of a fixed‐effects analysis that did not appreciably change the effect of statin use on AAA rupture (OR 0.67, 95% CI 0.58, 0.77, P<0.00001). The funnel plot for this outcome demonstrated probable publication bias of methodologically low‐quality studies likely to demonstrate a smaller or no effect of statins on AAA rupture risk reduction (Figure 7).


Effect of Statin Therapy on Elective Perioperative Mortality
A total of 65 340 patients were analyzed among the 8 perioperative mortality studies. Patients taking statins comprised 59% (38 235/65 340) of this cohort, and controls accounted for 41% (27 105/65 340) of the cohort. The crude 30‐day mortality rate was 1.8% (698/38 235) for the statin group and 2.6% (706/27 105) for the control group. Pooling of crude and available adjusted data demonstrated a lower perioperative mortality associated with statin use compared with controls (OR 0.64, 95% CI 0.48, 0.84, P=0.002, I2=50%) (Figure 8). Subgroup analysis by repair approach demonstrated a greater potential effect in the open‐repair subgroup (OR 0.54, 95% CI 0.30, 1.00, P=0.05, I2=71%), whereas patients undergoing elective EVAR had a smaller association with lower mortality from statin use (OR 0.63, 95% CI 0.50, 0.79, P<0.0001, I2=0%) (Figures 9 and 10). Finally, subgroup analysis by publication year revealed statin therapy to be associated with a reduction in 30‐day mortality irrespective of publication year, although studies published up to and including 2007 demonstrated a greater effect (OR 0.38, 95% CI 0.21, 0.69, P=0.002, I2=28%), and those published afterward demonstrated a more conservative effect (OR 0.77, 95% CI 0.64, 0.93, P=0.008, I2=19%). The combined elective‐repair and open‐repair subgroup comparisons suffered from significant and moderate heterogeneity, respectively. In contrast, the heterogeneity for the elective‐EVAR subgroup was 0%, and both groups for analysis by year demonstrated low heterogeneity. Visual inspection of the funnel plot for the combined elective AAA group demonstrated likely publication bias of low‐ to moderate‐quality negative studies, with a lower likelihood of missing low‐quality studies demonstrating a protective effect of statins for 30‐day mortality following elective AAA repair (Figure 11).




Discussion
Our systematic review and meta‐analysis of 22 studies involving more than 80 000 patients demonstrated an association between statin use and lower AAA growth, rupture rate, and elective perioperative mortality. Furthermore, we also demonstrated a greater potential for reduction of AAA growth rate in larger AAAs, and a greater 30‐day mortality rate reduction in statin users undergoing elective open AAA repair compared with those undergoing elective EVAR.
Comparison With Existing Literature
The effect of statin pharmacotherapy on AAA‐related outcomes has been the subject of several previous systematic reviews dating back to 2008.21 Seven of these review articles conducted meta‐analyses. Two of them evaluated the effect of statin therapy on long‐term survival following AAA repair,21 5 evaluated the effect of statins on AAA growth,26 1 considered the effects of cardiovascular drugs including statins on AAA rupture,33 and 1 assessed 30‐day mortality following elective AAA repair.28 Most recently, Takagi et al demonstrated that statin therapy reduced AAA growth by a standardized mean difference of 0.42 mm/y (95% CI 0.19, 0.65, P<0.001) in their 2012 systematic review and meta‐analysis of 11 studies involving 4647 patients.26 The results of our study are consistent with those of this and other meta‐analyses of this outcome. Regarding the effect of statin therapy on AAA rupture rate, the meta‐analysis of individual patient data by Sweeting et al did not demonstrate any statistically significant effect of statins or lipid lowering drugs on AAA rupture rate.33 However, the authors noted low event rates among the included studies as well as poor reporting of cardiovascular drug use. Twine et al are responsible for the only other assessment of the effect of statin therapy on perioperative mortality following elective AAA repair.28 They assessed 912 patients from 2 studies and demonstrated no beneficial effect of statin therapy on perioperative outcomes following AAA repair (OR 0.22, 95% CI 0.02, 2.90, P=0.06). However, their analysis was limited by the paucity of perioperative mortality data available at the time and was confounded by an inability to separate open and EVAR repairs. Since their study, 4 additional reports including ≈30 times more patients have been published that allowed us to arrive at our results. Furthermore, these studies reported proportions of repair approaches, allowing us to conduct our subgroup analyses.
Proposed Mechanisms and Explanation of Findings
The exact mechanism by which statins may attenuate AAA growth is unknown, but several theories exist. The prevailing theory is that statins reduce intramural aortic MMP expression.59 Overexpression of these collagenases is thought to be an integral pathophysiologic mechanism for AAA development and progression. Culture and tissue studies have demonstrated higher levels of MMPs 1, 2, 8, 9, and 13, and lower levels of their corresponding inhibitors in aneurysmal cells and tissues and at sites of aneurysm rupture.62 Furthermore, correlation between degree of inflammation and MMP expression has been shown, and immunochemistry studies have localized MMP production to macrophages and B cells in the adventitia of aneurysmal aortas.65 At least in part, statin‐mediated MMP expression attenuation is thought to be derived from the anti‐inflammatory properties of statuns.20
Aneurysm diameter and growth rate are well‐established risk factors for AAA rupture, lending validity to the observed association between statin use and AAA rupture rate.68 Furthermore, even though a submillimeter annual growth rate reduction is of questionable clinical significance, the association with a 37% lower rupture rate in the statin arm of our meta‐analysis highlights the potential clinical importance of this effect. This small annual growth rate effect may accumulate over time to produce the observed effect on rupture rate. However, it is difficult to confidently make this assertion due to limited and incomplete reporting of follow‐up in the rupture studies. An alternative explanation for the lower rupture rate among statin users may involve additional AAA stabilization by the attenuation of underlying inflammation and associated tissue friability.
The substantial perioperative mortality rate reduction that we observed in statin users compared with controls is also noteworthy. The effect that we observed in our systematic review might be attributed to the reduction of perioperative coronary events and associated complications as opposed to direct aneurysm‐related causes of mortality. Multiple randomized trials have demonstrated statin‐mediated reductions of cardiovascular events and mortality in primary and secondary coronary disease prevention settings.73 Furthermore, studies have also shown substantial statin‐mediated reductions in mortality, cardiovascular events, and adverse limb events among peripheral arterial disease patients.77 Atherosclerosis is a common underlying pathophysiologic phenomenon in coronary, peripheral, and aneurysmal disease, and multiple studies have demonstrated a high prevalence of severe coronary disease and/or peripheral artery disease among patients with AAA.78 Consequently, many of these patients already have indications for statin therapy according to existing American Heart Association/American College of Cardiology guidelines.82 Furthermore, the most recent Canadian Cardiovascular Society dyslipidemia guidelines consider AAA a statin‐indicated condition irrespective of the presence of other cardiovascular risk factors.84 Unfortunately, current evidence suggests that many vascular surgery patients are not adequately risk factor controlled despite knowledge of the common underlying pathophysiological mechanisms for coronary and other vascular diseases.81 As a result, a substantial missed opportunity may exist for the reduction of mortality following both open and EVAR repair of AAA.
Limitations
Despite the face validity and consistency of our results with existing literature, our findings should be interpreted in light of several limitations. First, our review consisted only of observational studies. As a result, potential for propagation of information and confounding bias exists. Second, many of the comparisons that we conducted were affected by moderate to significant heterogeneity, likely reflecting the variance in covariate definitions and therefore covariate distributions among studies. The wide variation in baseline aneurysm diameter in the growth and rupture studies is likely to have significantly contributed to this heterogeneity because aneurysm growth demonstrates a progressive exponential increase in growth rate with increasing diameter. Unfortunately, due to incomplete reporting of these covariates and inability to obtain covariate information grouped by our comparison of interest, a thorough assessment of the sources of heterogeneity was not possible. Third, the relative absence of covariate data also made it difficult to precisely assess whether the pooled population represented typical patients with AAA and to what degree statins were indicated in these patients. Similarly, we were unable to account for the effects of different statins, dosages, and durations of treatment. We attempted to do so in our comparison of older and more recent studies, assuming that newer studies included greater proportions of patients on high‐intensity statin regimens in response to emerging evidence and guidelines. The demonstrated potential association between statin use and AAA growth rate reduction among newer studies supported this assumption. In contrast, the presence of a smaller effect of statins on perioperative mortality following AAA repair among newer studies refuted it. Therefore, our findings do not allow us to suggest specific statins, doses, or minimum duration of therapy required to achieve the suggested benefits on each AAA outcome. Finally, our study may not be an accurate assessment of all the available research. We attempted to assess the presence of publication bias for each of our main comparisons, but in many cases, the funnel plots were difficult to interpret. The limited number of studies as well as moderate to high heterogeneity precluded objective publication bias assessment using Egger and other tests and made visual interpretation of the funnel plots difficult.
Despite these limitations, conduct of a large randomized trial to confirm our findings is unlikely, and the present observational data are likely the best assessment possible of the associations between statin therapy and AAA outcomes. Due to the high prevalence of atherosclerotic disease in nonaortic vascular beds in patients with AAA and the resulting existence of indications for statin therapy by current standards, randomization of patients to statin versus placebo groups is fraught with ethical challenges. Furthermore, because statins are now generic, pharmaceutical industry funding is likely to be very difficult to secure for such a study. Finally, significant challenges exist with respect to measurement of AAA‐related outcomes. Growth is commonly measured using abdominal ultrasonography due to its availability, low cost, and absent radiation exposure. However, this modality is affected by technical expertise, body habitus, bowel gas, and a number of other factors that account for the 1.6‐ to 4.4‐mm intraobserver and up to 10‐mm interobserver variability for abdominal ultrasonography of AAA.88 Ultimately, all AAA treatments aim to reduce or prevent rupture. However, fewer than 2% of AAAs rupture below 5 cm, substantially increasing the sample size required for a randomized trial to demonstrate an effect if the standard of care is to be followed and aneurysms repaired at 5 cm for women, and 5.5 cm for men.
Conclusion
In conclusion, this systematic review and meta‐analysis represents a contemporary evaluation of best available evidence on the association between statin therapy and AAA outcomes. Our analysis demonstrated a potential association among statin use and lower AAA growth, rupture, and perioperative mortality rates. Because of the magnitude and reproducibility of our findings, the high coprevalence of cardiovascular risk factors and existing indications for statin therapy in AAA patients, the low cost and relative safety of statins, as well as the significant consequences of AAA rupture and repair, physicians should consider routinely prescribing statins to all AAA patients.
Disclosures
Dr Bhatt discloses the following relationships: advisory boards of Cardax, Elsevier Practice Update Cardiology, Medscape Cardiology, Regado Biosciences; board of directors of Boston VA Research Institute, Society of Cardiovascular Patient Care; chair of American Heart Association Quality Oversight Committee; member of data‐monitoring committees at Cleveland Clinic, Duke Clinical Research Institute, Harvard Clinical Research Institute, Mayo Clinic, Mount Sinai School of Medicine, Population Health Research Institute; honoraria from American College of Cardiology (senior associate editor, Clinical Trials and News, ACC.org), Belvoir Publications (Editor‐in‐Chief, Harvard Heart Letter), Duke Clinical Research Institute (clinical trial steering committees), Harvard Clinical Research Institute (clinical trial steering committee), HMP Communications (Editor‐in‐Chief, Journal of Invasive Cardiology), Guest Editor and Associate Editor of Journal of the American College of Cardiology, Population Health Research Institute (clinical trial steering committee), Slack Publications (Chief Medical Editor, Cardiology Today's Intervention), Society of Cardiovascular Patient Care (Secretary/Treasurer), WebMD (CME steering committees); and others including Clinical Cardiology (Deputy Editor), NCDR‐ACTION Registry Steering Committee (Chair), VA CART Research and Publications Committee (Chair); Research Funding from Amarin, Amgen, AstraZeneca, Bristol‐Myers Squibb, Chiesi, Eisai, Ethicon, Forest Laboratories, Ironwood, Ischemix, Lilly, Medtronic, Pfizer, Roche, Sanofi Aventis, The Medicines Company; royalties from Elsevier (Editor, Cardiovascular Intervention: A Companion to Braunwald's Heart Disease); site coinvestigator for Biotronik, Boston Scientific, St. Jude Medical (now Abbott); Trustee of the American College of Cardiology; unfunded research for FlowCo, Merck, PLx Pharma, and Takeda. The remaining authors have no disclosures to report.
Acknowledgments
The authors of this manuscript would like to acknowledge Teruko Kishibe at the Health Sciences Library of Li Ka Shing Knowledge Institute, St. Michael's Hospital for help with developing and conducting our literature search.
Footnotes
†
Deceased.
The findings of this study were presented at the Canadian Society for Vascular Surgery Meeting, September 15 to 16, 2017, in Banff, Alberta, Canada.
Supplemental Material
Data S1. Original literature search strategy.
Data S2. Search strategy for updated literature search.
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© 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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Received: 12 May 2018
Accepted: 20 July 2018
Published online: 29 September 2018
Published in print: 2 October 2018
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(J Am Heart Assoc. 2018;7:e008657. https://doi.org/10.1161/JAHA.118.008657.)
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