Developing cardiovascular disease risk programs in India—Why location and wealth matter

摘要

Assessment of a person's total or absolute risk of a cardiovascular disease (CVD) event basedon multiple risk factors is superior to assessment of single risk factors when identifying who isat greatest risk of a CVD event [1]. In this issue of PLOS Medicine, a study by Rifat Atun andcolleagues outlines the use of CVD risk prediction equations for population health rather thanfor clinical purposes [2]. This has inherent appeal because risk stratification of a populationcould be used to drive policy and health service planning, inform funding decisions aroundsubsidising treatments, and identify particular subgroups for more intensive interventionstrategies.