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Risk of Cardiovascular Mortality in Patients With Rheumatoid Arthritis: A Meta-Analysis of Observational Studies

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WILEY-LISS
DOI: 10.1002/art.24092

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  1. Canadian Institutes of Health Research
  2. Arthritis Society [32615]
  3. Canadian Arthritis Network
  4. Michael Smith Foundation for Health Research
  5. Mexican Institute for Social Security
  6. CONACyT (Mexico)
  7. Arthritis Society of Canada.

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Objective. To determine the magnitude of risk of cardiovascular mortality in patients with rheumatoid arthritis (RA) compared with the general population through a meta-analysis of observational studies. Methods. We searched Medline, EMBase, and Lilacs databases from their inception to July 2005. Observational studies that met the following criteria were assessed by 2 researchers: 1) prespecified RA definition, 2) clearly defined cardiovascular disease (CVD) outcome, including ischemic heart disease (IHD) and cerebrovascular accidents (CVAs), and 3) reported standardized mortality ratios (SMRs) and 95% confidence intervals (95% CIS). We calculated weighted-pooled summary estimates of SMRs (meta-SMRs) for CVD, IHD, and CVAs using the random-effects model, and tested for heterogeneity using the I-2 statistic. Results. Twenty-four studies met the inclusion criteria, comprising 111,758 patients with 22,927 cardiovascular events. Overall, there was a 50% increased risk of CVD death in patients with RA (meta-SMR 1.50, 95% CI 1.39-1.61). Mortality risks for IHD and CVA were increased by 59% and 52%, respectively (meta-SMR 1.59, 95% CI 1.46-1.73 and meta-SMR 1.52, 95% CI 1.40-1.67, respectively). We identified asymmetry in the funnel plot (Egger's test P = 0.002), as well as significant heterogeneity in all main analyses (P < 0.0001). Subgroup analyses showed that inception cohort studies (n = 4, comprising 2,175 RA cases) were the only group that did not show a significantly increased risk for CVD (meta-SMR 1.19, 95% CI 0.86-1.68). Conclusion. Published data indicate that CVD mortality is increased by similar to 50% in RA patients compared with the general population. However, we found that study characteristics may influence the estimate.

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