Validation of the Framingham Coronary Heart Disease Prediction Scores

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Abstract
The Framingham Heart Study has developed mathematical functions for predicting risk of clinical coronary heart disease (CHD) events.1-5 These are derived multivariable mathematical functions that assign weights to major CHD risk factors such as sex, age, blood pressure, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), smoking behavior, and diabetes status. For a person free of cardiovascular disease, his/her CHD risk factors are entered into the function to produce a probability estimate of developing CHD within a certain time period (eg, the next 5 years). Recently, Framingham investigators developed a simplified model that incorporates blood pressure and 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).5-8