Abstract P345: Prediction of Cardiovascular Disease Events and Death using Multiple Biomarkers in African Americans: the Jackson Heart Study

Background: The usefulness of biomarkers from different biologic pathways for predicting cardiovascular disease (CVD) events among African Americans is not well understood. Methods: We evaluated prospectively 3,102 Jackson Heart Study participants (mean age 54 years; 64% women) with data on a panel of 9 biomarkers representing inflammation (high sensitivity C - reactive protein), adiposity (adiponectin, leptin), neurohormonal activation (B-type natriuretic peptide [BNP], aldosterone, and cortisol); insulin resistance (HOMA-IR); and endothelial function (endothelin and homocysteine). We used Cox proportional hazard regression to relate the biomarker panel to the incidence of CVD (stroke, coronary heart disease, angina, heart failure and intermittent claudication) adjusting for standard CVD risk factors. Results: On follow-up (median 8.2 years), 224 participants (141 women) experienced a first CVD event, and 238 (140 women) died. Circulating concentrations of aldosterone, BNP and HOMA-IR were associated with CVD (multivariable-adjusted hazard ratios [HR] and 95% confidence interval [CI] per standard deviation (SD) increase in log-biomarker) were, respectively 1.15, (95% CI 1.01-1.30, p=0.016), 1.97, (95% CI 1.22-2.41, p Conclusions: In our community-based sample of African Americans, circulating aldosterone, BNP and HOMA-IR predicted CVD risk, whereas serum cortisol and homocysteine predicted death. However, the incremental yield of biomarkers over traditional risk factors for risk prediction was minimal.