Abstract:Over 1 million individuals suffer a first myocardial infarction (MI) or stroke annually in the United States. Prediction of those at high risk of atherosclerotic cardiovascular disease (ASCVD) is crucial to guiding primary prevention in the general population. The “predicting risk of cardiovascular disease events" (PREVENT) equation is the latest risk prediction model. Compared to the prior pooled cohort equation (PCE), it was derived from a more contemporary cohort, incorporates additional renal and metabolic predictors, and excludes race as a predictor. Recent studies have externally validated the PREVENT equation among population-based survey data; however, it has not yet been validated in the Veterans Health Administration (VHA), the largest integrated healthcare system in the United States.