Widely used heart disease risk calculators may be failing to identify a large proportion of Indians at risk, with nearly 80 per cent of patients who eventually suffered a heart attack not being classified as 'high-risk' beforehand, according to new research. The research titled "Comparison of ASCVD Risk Prediction Models in STEMI: Insights from a South Asian Cohort" was conducted by a team of scientists from Govind Ballabh Pant Institute of Postgraduate Medical Education and Research, ESIC Medical College, Faridabad, the Delhi Cancer Registry at AIIMS, among others. The study, conducted on 4,975 patients with first-time heart attacks, found significant differences in how five major global risk prediction models categorised individuals, raising concerns over their reliability for South Asian populations. Researchers compared widely used tools such as the Framingham Risk Score (FRS), ACC/AHA ASCVD 2013 model, WHO risk charts, JBS-3 calculator and the newer Predicting Risk of ...
New findings show that almost half of future first-time heart-attack patients would not be flagged by existing tools, raising concerns over how heart disease risk is assessed and managed.
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