In a startling revelation from GB Pant hospital in New Delhi, doctors have warned that heart attacks in India are increasingly striking people who appear low risk by standard medical tests. A major study led by Dr Mohit Dayal Gupta found that nearly 80 per cent of Indian patients who suffered a first heart attack were not flagged as high-risk beforehand. According to the study, if you are being told you are health – with no alarming cholesterol levels, no major risk indicators, but suffer a sudden heart attack, is no longer rare in India; and it is becoming the norm. The study - which analysed over 5,000 Indian patients, found that commonly used global heart risk calculators failed to accurately predict risk in the majority of cases. Across
different models only 11 to 20 per cent were classified as high-risk, yet all patients eventually had a heart attack. This gap is raising serious concerns about how cardiovascular risk is assessed in Indians.Also read: Breakthrough RNA Therapy Could Repair Heart Damage Naturally
Why are Western models failing Indians?
According to Dr. Gupta, the issue lies in a fundamental mismatch. Most risk calculators are based on Western populations, where heart disease occurs later in life and follows different biological patterns. In contrast, in India the average heart attack age is just 54, risk factors develop earlier and behave differently. “Indian patients behave totally differently,” Dr Gupta explained, highlighting the urgent need for India-specific risk models.The South Asian Phenotype: A hidden danger
Researchers point to a unique risk profile known as the South Asian phenotype, which makes heart disease harder to detect using conventional tools. Traditional metrics like BMI and LDL cholesterol often fail to capture the hidden dangers. Key characteristics include:- Diabetes and insulin resistance even at normal weight
- Low HDL, or good cholesterol, and high triglycerides
- Hidden abdominal fat, even in lean individuals
- Higher levels of stress and smoking-related risks












