For decades, CHD risk has been evaluated using regression equations derived from observational studies. To date, one of the best known risk prediction systems is based on the Framingham Heart Study (8). The Framingham risk score was designed to estimate the absolute risk of developing CHD in a middle-aged white population sample (9). The Framingham Heart Study developed a simplified coronary prediction model based on blood pressure, cholesterol, and LDL cholesterol categories proposed by the Fifth Joint National Committee on Hypertension (JNC-V) and the National Cholesterol Education Program-Adult Treatment Panel II (NCEP-ATP II) (10-12). Previous NCEP-ATP II (10) and JNC-V guidelines for managing individual risk factors estimated overall risk by adding categorical risk factors. However, this approach did not estimate total risk based on risk factors graded according to severity. In comparison, the Framingham Heart Study developed a model of graded risk factors that is more accurate than the simple addition of categorical risk factors (8).
In interpreting CHD risk estimates, the traditional Framingham model predicted total CHD risk, which included angina pectoris, recognized and unrecognized myocardial infarction (MI), coronary insufficiency (unstable angina), and CHD deaths (13, 14). However, in accordance with several clinical trials (15-17) that defined major coronary events (acute MI and CHD deaths) as the primary coronary endpoints, the Framingham investigators also provided estimates for “hard” CHD (MI and CHD deaths) endpoints (8).