Model for Assessing Cardiovascular Risk in a Korean Population

Background—A model for predicting cardiovascular disease in Asian populations is limited. Methods and Results—In total, 57 393 consecutive asymptomatic Korean individuals aged 30 to 80 years without a prior history of cardiovascular disease who underwent a general health examination were enrolled. Subjects were randomly classified into the train (n=45 914) and validation (n=11 479) cohorts. Thirty-one possible risk factors were assessed. The cardiovascular event was a composite of cardiovascular death, myocardial infarction, and stroke. In the train cohort, the C-index (95% confidence interval) and Akaike Information Criterion were used to develop the best-fitting prediction model. In the validation cohort, the predicted versus the observed cardiovascular event rates were compared by the C-index and Nam and D’Agostino χ2 statistics. During a median follow-up period of 3.1 (interquartile range, 1.9–4.3) years, 458 subjects had 474 cardiovascular events. In the train cohort, the best-fitting model consisted...