Cardiovascular risk prediction in a population with the metabolic syndrome: Framingham vs. UKPDS algorithms

Abstract

Background: Cardiovascular disease (CVD) risk-prediction algorithms are key in determining ones eligibility for prevention strategies, but are often population-specific. Metabolic syndrome (MetS), a clustering of risk factors that increase the risk of CVD, does not currently have a risk-prediction algorithm available for prediction of CVD. The aim of this study was to compare the predictive capacities of an algorithm intended for healthy individuals and one intended for diabetic individuals. Methods: Individual-specific data from 2700 subjects defined as MetS but free of diagnosed CVD from the Australian Diabetes, Obesity and Lifestyle study was used to estimate 5-year risk of CVD using the ..