For decades, cardiovascular screening has revolved around a familiar list: total cholesterol, LDL-C, blood pressure, fasting glucose and BMI.
For Indians, that approach may be incomplete.
South Asians experience cardiovascular disease at a younger age, and the phenotype is not simply “high cholesterol.” Central adiposity, insulin resistance, diabetes, hypertension and atherogenic lipoprotein particles can develop at relatively modest BMI and LDL-C levels.
The Lipid Association of India has therefore specifically emphasized lifetime cardiovascular risk and earlier prevention rather than relying exclusively on conventional 10-year risk estimates.
The young age of onset and a more aggressive nature of ASCVD in Indians necessitates emphasis on lifetime ASCVD risk instead of the conventional 10-year risk. It also demands early institution of aggressive preventive measures to protect the young population prior to development of ASCVD events.
The question becomes:
Can we identify the Indian whose metabolic and vascular biology is ageing faster than their chronological age?
We believe the answer is potentially yes—but it requires looking beyond LDL-C alone.
1. WAIST: The simplest Indian early-warning signal
For Indians, where fat is stored can matter as much as how much a person weighs.
A large Indian analysis established much lower waist action levels than traditional Western thresholds:
Waist |
Men |
Women |
|---|---|---|
Action level 1 |
≥78 cm |
≥72 cm |
Action level 2 / abdominal obesity |
≥90 cm |
≥80 cm |
The investigators found that these Indian-specific thresholds identified cardiovascular risk factors more effectively than traditional Western waist thresholds. More importantly, prospective Indian data make the argument stronger.
In a 10.7-year follow-up of 543 Asian Indians, abdominal obesity—defined as ≥90 cm in men and ≥80 cm in women—was associated with:
-
1.82× risk of diabetes
-
1.84× risk of hypertension
-
2.12× risk of ASCVD
compared with non-abdominally obese participants.

The message: An Indian man’s waist can become metabolically concerning well before he looks “obese.”
2. ApoB: Count the particles, not just the cholesterol
This may be the most interesting component of the proposed Indian Heart Age model.
LDL-C tells us approximately how much cholesterol is inside LDL particles.
ApoB tells us approximately how many atherogenic particles are circulating.
Every LDL, VLDL, IDL and Lp(a) particle carries one ApoB molecule. That makes ApoB particularly useful when LDL-C doesn’t tell the whole story.
The enormous INTERHEART analysis examined 5,731 first-MI cases and 6,459 controls across Asia. Among South Asians, ApoB/ApoA1 showed the strongest association with first myocardial infarction among the lipid/apolipoprotein measures examined.

This is one reason the 2024 Cardiological Society of India dyslipidaemia guideline gives ApoB explicit target levels and notes that ApoB estimates the concentration of atherogenic particles across lipoprotein subclasses.
The CSI targets include:
| Cardiovascular risk category | ApoB target |
|---|---|
| Very high risk | >100 mg/dL |
| High risk | >80 mg/dL |
| Moderate risk | <65 mg/dL |
These are treatment targets, however—not necessarily appropriate cut-offs for a consumer-facing “Heart Age” score.
3. Lp(a): The inherited risk hiding behind a normal lipid profile
Lp(a) deserves its own place in the model. Unlike triglycerides or glucose, Lp(a) is predominantly genetically determined and relatively stable throughout life.
For an Indian with:
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premature CAD in the family
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unexplained coronary disease
-
apparently normal LDL-C but significant family history
-
premature cardiovascular disease
Lp(a) can reveal a risk factor that a conventional lipid panel may miss.
Indian data are particularly interesting. A case-control study of 928 individuals in Kerala found that among people younger than 50 years, elevated Lp(a) was significantly associated with CAD:
OR 3.52; 95% CI 1.63–7.57.

Therefore, we would make Lp(a): A once-in-a-lifetime measurement, rather than a marker that necessarily needs to be repeatedly tested.
4. BLOOD PRESSURE: The silent vascular load
Blood pressure isn’t merely a number describing hypertension. Over years, elevated pressure exposes the arterial wall to mechanical stress.
The South Asian PURE analysis followed 33,583 people aged 35–70 years for approximately 11 years.
Among the modifiable metabolic risk factors examined, hypertension contributed the largest population-attributable fraction for CVD—13.1%, followed by high non-HDL cholesterol at 11.1%, diabetes at 8.9% and abdominal obesity at 6.9%. So BP belongs prominently in an Indian early-warning model.
5. HbA1c: Don’t wait for diabetes
For Indians, glucose metabolism is particularly important because dysglycaemia can develop alongside visceral adiposity and insulin resistance. The objective isn’t simply to identify someone after diabetes has appeared.
The objective is to identify the trajectory toward metabolic disease early.
That is why HbA1c belongs in the proposed model—but as a continuous risk marker, rather than simply: diabetic / not diabetic.
6. TG/HDL: The metabolic fingerprint
Triglycerides and HDL-C become much more informative when considered together. The TG/HDL-C ratio has been investigated specifically in South Asians.
In a study of 1,024 apparently healthy South Asian men and women, high-risk thresholds were:
-
Men: TG/HDL ≥3.5
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Women: TG/HDL ≥2.5

