Background-The objective of this study was to examine the association of Joint National Committee (JNC-V) blood pressure and National Cholesterol Education Program (NCEP) cholesterol categories with coronary heart disease (CHD) risk, to incorporate them into coronary prediction algorithms, and to compare the discrimination properties of this approach with other noncategorical prediction functions. Methods and Results-This work was designed as a prospective, single-center study in the setting of a community-based cohort. The patients were 2489 men and 2856 women 30 to 74 years old at baseline with 12 years of follow-up. During the 12 years of follow-up, a total of 383 men and 227 women developed CHD, which was significantly associated with categories of blood pressure, total cholesterol, LDL cholesterol, and HDL cholesterol (all PϽ.001). Sex-specific prediction equations were formulated to predict CHD risk according to age, diabetes, smoking, JNC-V blood pressure categories, and NCEP total cholesterol and LDL cholesterol categories. The accuracy of this categorical approach was found to be comparable to CHD prediction when the continuous variables themselves were used. After adjustment for other factors, Ϸ28% of CHD events in men and 29% in women were attributable to blood pressure levels that exceeded high normal (Ն130/85). The corresponding multivariable-adjusted attributable risk percent associated with elevated total cholesterol (Ն200 mg/dL) was 27% in men and 34% in women. Conclusions-Recommended guidelines of blood pressure, total cholesterol, and LDL cholesterol effectively predict CHD risk in a middle-aged white population sample. A simple coronary disease prediction algorithm was developed using categorical variables, which allows physicians to predict multivariate CHD risk in patients without overt CHD.

In subjects from the original cohort of the Framingham Heart Study, AF was associated with a 1.5- to 1.9-fold mortality risk after adjustment for the preexisting cardiovascular conditions with which AF was related. The decreased survival seen with AF was present in men and women and across a wide range of ages.

Background-The role of C-reactive protein (CRP) as a novel plasma marker of atherothrombotic disease is currently under investigation. Previous studies have mostly related CRP to coronary heart disease, were often restricted to a case-control design, and failed to include pertinent risk factors to evaluate the joint and net effect of CRP on the outcome. We related plasma CRP levels to incidence of first ischemic stroke or transient ischemic attack (TIA) in the Framingham Study original cohort. Methods-There were 591 men and 871 women free of stroke/TIA during their 1980 to 1982 clinic examinations, when their mean age was 69.7 years. CRP levels were measured by using an enzyme immunoassay on previously frozen serum samples. Analyses were based on sex-specific CRP quartiles. Risk ratios (RRs) were derived, and series of trend analyses were performed. Results-During

Background: The degree of clustering for common metabolic coronary disease risk factors is not well known, the antecedents of clustering are not well studied, and the impact of such clusters on coronary risk has not been assessed systematically.

Using this multivariate risk formulation, it is possible to identify high-risk candidates for heart failure who are likely to have a substantial yield of positive findings when tested for objective evidence of presymptomatic left ventricular dysfunction. The risk profile may also identify candidates who are at high risk for heart failure because of multiple, marginal risk factor abnormalities that might otherwise be overlooked.