ABSTRACT
Clinical decisions are ideally based on randomized trials but must often rely on observational data analyses, which are less straightforward and more influenced by methodology. The authors, from a series of expert roundtables convened by the Forum for Collaborative HIV Research on the use of observational studies to assess cardiovascular disease risk in human immunodeficiency virus infection, recommend that clinicians who review or interpret epidemiological publications consider 7 key statistical issues: (1) clear explanation of confounding and adjustment; (2) handling and impact of missing data; (3) consistency and clinical relevance of outcome measurements and covariate risk factors; (4) multivariate modeling techniques including time-dependent variables; (5) how multiple testing is addressed; (6) distinction between statistical and clinical significance; and (7) need for confirmation from independent databases. Recommendations to permit better understanding of potential methodological limitations include both responsible public access to de-identified source data, where permitted, and exploration of novel statistical methods.
Subject(s)
Anti-HIV Agents/adverse effects , Cardiovascular Diseases/chemically induced , Data Interpretation, Statistical , HIV Infections/drug therapy , Cardiovascular Diseases/etiology , HIV Infections/complications , Humans , Models, Biological , Models, Statistical , Research Design , Risk FactorsABSTRACT
The statins, inhibitors of 3-hydroxy-3-methylglutaryl-coenzyme A reductase, act to regulate the biosynthesis of cholesterol. Statins also deplete nonsterol cholesterol precursors, the isoprenoids, which are necessary for prenylation of critical membrane proteins that regulate cellular communication, including the inflammatory response. In a retrospective review of 388 bacteremic infections due to aerobic gram-negative bacilli and Staphylococcus aureus, there was a significant reduction in both overall (6% vs. 28%; P=.002) and attributable (3% vs. 20%; P=.010) mortality among patients taking statins compared with patients not taking statins. This reduction in mortality persisted in a multivariate analysis (odds ratio, 7.6; 95% confidence interval, 1.01-57.5). Among the statin group, diabetes, hypertension, and coronary artery disease were more prevalent (P<.001), and there were more skin and soft tissue infections identified as sources of bacteremia (P=.008). These data suggest a potential clinical role of statins in bacteremic infection; however, the mechanism by which mortality is reduced remains undefined.