Why standard care misses you
The calculator was not built
with you in it.
The equations American medicine uses to estimate heart-attack risk were developed in cohorts with zero South Asian representation. For a community whose risk arrives earlier, that is not a rounding error.
The equation gap
Built without you.
Patched around you.
The Pooled Cohort Equations sit behind most American heart-risk estimates. They were developed and validated in cohorts with zero South Asian representation: not under-represented, absent. When a computer estimates your risk, it reasons from bodies that were never yours.
The guideline writers knew. In 2018, the ACC/AHA cholesterol guideline named South Asian ancestry a risk-enhancing factor: an acknowledgment that this community carries risk the equations under-read. It is an honest patch, and it is only a patch: a qualitative note laid over a quantitative miss. The number the calculator prints still does not know you.
A better instrument exists. SCORE2 Asia-Pacific recalibrates the risk models for Asia-Pacific populations (their actual incidence, their actual risk-factor profiles) for adults aged 40 to 69. A recalibrated estimate, used from the start rather than as an afterthought, is one part of how the proposed Sehat model closes this gap.
The body the charts don’t see
The risk hides where
the charts were never taught to look.
Lean on the chart does not mean low-risk.
South Asian bodies tend to store fat viscerally, packed deep around the organs, rather than under the skin, where it is metabolically quieter. You can look thin, weigh “normal,” and still carry the active fat that drives heart disease. The scale cannot see it. A standard physical does not measure it. Your waist tells more of the truth than your weight does.
A cholesterol pattern that averages itself invisible.
The common South Asian lipid pattern is high triglycerides, low HDL, and small, dense LDL particles: more particles, each carrying less cholesterol. A basic panel reads the cargo, not the count, and can return a reassuring LDL while the particle traffic runs heavy. The pattern has a name, and a routine panel is not built to find it.
Lp(a): inherited, common, missing from routine panels.
Lipoprotein(a) is almost entirely determined by your genes; diet and exercise barely move it, and standard cholesterol tests do not measure it at all. Among South Asians, roughly one in four, about 25%, carries an elevated level at or above 50 mg/dL. One measurement, once in a lifetime, closes that gap.
The alarm points were drawn on different bodies.
For South Asian adults, the thresholds that should trigger concern sit lower: a waist above 90 cm for men or above 80 cm for women, and overweight beginning at a BMI of 23 kg/m². Read against the standard chart instead, real risk files itself under “normal.”
The metabolic risk travels with the cardiac one.
Compared with people of European descent, South Asians carry up to a four-fold increased risk of type 2 diabetes, and diabetes accelerates every pathway described on this page. A heart program for this community is also, unavoidably, a diabetes-risk program.
Earlier
The same disease.
A faster clock.
Cardiovascular disease strikes South Asians approximately a decade earlier than it does Western populations, and the risk of developing coronary heart disease runs two- to four-fold higher than for people of European descent.
The stories this community knows too well (the heart attack at the wedding, the bypass before the grandchildren were born) are not fate and not bad luck. They are a pattern. Patterns can be measured, and what is measured can be acted on earlier.
The mortality data say the same thing. In 2019, roughly 39% of deaths from cardiovascular disease in Asia occurred before the age of 70, against 23% in the United States and 22% in Europe.
earlier onset, approximately: cardiovascular disease in South Asians versus Western populations
of all deaths in the region were cardiovascular by 2019, up from 14% in 1990
of genomic-study participants have South Asian ancestry: a quarter of the world, nearly none of the data
The reframe
Ancestry shapes the starting line,
not the finish line.
None of this is a verdict. Your ancestry changed the urgency of starting; it did not change the size of the benefit. That is calibration, not condemnation.
The proposed Sehat program is built on exactly that premise: measure what the routine panel misses, read it against thresholds drawn for your body, and act on the timeline your family history actually implies. Earlier is easier.
References · this page
Every figure, sourced.
- US Pooled Cohort Equations: the development and validation cohorts carried zero representation from individuals of South Asian ancestry (corpus analysis, Blueprint and Clinical Protocol).
- 2018 ACC/AHA cholesterol guideline: South Asian ancestry designated a risk-enhancing factor.
- SCORE2 Asia-Pacific (Hageman SHJ et al., Eur Heart J, 2025): risk models specifically recalibrated for Asia-Pacific populations, applicable to adults aged 40–69 (recorded in corpus).
- Lp(a): almost entirely determined by genetics; not measured by standard cholesterol tests; elevated (≥50 mg/dL) in ≈25% of South Asians; a one-time measurement should be considered (corpus clinical protocol).
- Ethnicity-adjusted screening thresholds: waist >90 cm men / >80 cm women; overweight from BMI ≥23 kg/m² (corpus clinical protocol).
- Corpus epidemiology synthesis (Blueprint and Clinical Protocol; OurHealth Scientific Background): cardiovascular disease strikes approximately a decade earlier; two- to four-fold increased risk of coronary heart disease; up to four-fold increased risk of type 2 diabetes versus people of European descent.
- Gupta K et al., JACC Asia, 2022: in 2019, ~39% of CVD deaths in Asia occurred before age 70, versus 23% in the US and 22% in Europe (recorded in corpus).