The recalibration of the Framingham functions to the Chinese population improved coronary heart disease risk estimates.

M e t h o d s Design: Cohort study to validate and recalibrate a previously derived prediction rule. Setting: 16 centers from 11 provinces in China. Patients: 30 121 patients (age range 35 to 64 y) without CHD comprised the CMCS validation cohort. Exclusion criteria were a clinical history of myocardial infarction (MI) or angina pectoris. The derivation cohort consisted of 5251 white patients (age range 30 to 74 y) without CHD from the Framingham Heart Study. Description of prediction guide: The predictive ability of the Framingham functions was assessed for 6 risk factors (age, blood pressure [BP], smoking, diabetes, total cholesterol [TC], and high-density lipoprotein cholesterol [HDL-C]) in predicting CHD events in the CMCS cohort. The CMCS patients were divided into deciles of 10-year CHD risk predicted by the CMCS functions, the original Framingham functions, and Framingham functions that were recalibrated using the mean values of risk factors and mean CHD incidence rates of the CMCS cohort. A Cox regression model was used to predict the absolute 10-year risk for CHD. Outcomes: CHD events (acute MI, sudden death, and other coronary deaths).