Study findings help hone precision of proven cardiovascular disease risk tool

Cardiovascular disease (CVD) risk prediction models have improved the ability to stratify adults across the CVD risk spectrum. Researchers at Sutter Health and colleagues at Stanford University tested the performance of the American Heart Association’s Predicting Risk of CVD Events (PREVENT) equations in the six largest Asian subgroups as well as in Mexican and Puerto Rican Hispanic subgroups.

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