A study conducted by researchers from the Govind Ballabh Pant Institute of Postgraduate Medical Education and Research and other institutions revealed that widely used heart disease risk calculators inadequately assess the risk for Indian patients. The research, which included 4,975 individuals who experienced first-time heart attacks, found that nearly 80% were not classified as 'high-risk' prior to their incidents. Among the models evaluated, the ASCVD 2013 identified only 12.3% of patients as high risk, while others fared similarly poorly. The study emphasized that heart disease manifests differently in Indians, who often have a higher burden of diabetes and distinct metabolic patterns. Dr. Mohit Gupta, a cardiology professor involved in the research, stressed the necessity for an indigenous risk calculator tailored to the South Asian demographic to prevent misclassification and ensure timely treatment. The findings highlight a critical gap in current risk prediction systems, which could lead to preventable deaths if not addressed.