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Cardiovascular & Metabolic Health

Cardiovascular Risk Scores and Heart Age:
What Your Numbers Add Up To

Aevum Protocol7 min read

Blood pressure, cholesterol, blood sugar and smoking each raise the risk of heart attack and stroke, but what matters most is how they add up. Risk scores combine these factors into a single estimate, usually the chance of a heart attack or stroke over the next 10 years, which guides decisions such as whether to start a statin. "Heart age" turns the same calculation into a more intuitive number: the age of a person with ideal risk factors who has the same risk as you. In a US study, men's hearts were on average 7.8 years "older" than their real age, and women's 5.4 years. Risk scores have important limits. The same risk factors carry very different risks in different parts of the world: in the World Health Organization's charts, the same 60-year-old male smoker had a 10-year risk of 11% in one region and 30% in another. Standard scores can also underestimate risk in South Asians and in young people, whose 10-year risk may be low but whose lifetime risk is high. This article explains how risk scores work, which ones exist, and how to interpret your result.

Key numbers

FindingDetail
Heart age in US adults aged 30-74 (CDC)On average 7.8 years older than real age in men, and 5.4 years in women
Adults with a heart age at least 5 years older than their real age43.7% (48.8% of men, 38.5% of women)
WHO cardiovascular risk charts (2019)Built from 376,177 people in 85 cohorts, adapted to 21 world regions, including South Asia
Same risk factors, different region (60-year-old male smoker, BP 140, cholesterol 5 mmol/L, no diabetes)10-year risk ranged from 11% to 30% depending on region
AHA PREVENT calculator (2023)Developed from more than 6 million US adults; estimates 10- and 30-year risk from age 30, including heart failure

How risk scores work

A risk score is an equation developed from large studies that followed thousands of people over time and recorded who had a heart attack or stroke. It uses your risk factors to estimate your chance of a cardiovascular event over a set period, usually 10 years.

Most scores use similar inputs:

The result is usually grouped into bands. For example, American guidelines class 10-year risk under 5% as low, 5-7.5% as borderline, 7.5-20% as intermediate and 20% or more as high. Higher-risk groups benefit most from treatments such as statins and blood pressure medicines.

Flow diagram, how a risk score works: age, sex, blood pressure, cholesterol, smoking and diabetes feed into a risk equation that produces a 10-year risk of heart attack or stroke, often adjusted for kidney function, weight, ethnicity or region

The main risk scores

ScoreUsed mainly inNotes
WHO risk charts (2019)Worldwide, including South AsiaVersions with and without a cholesterol test; calibrated to 21 regions
Pooled Cohort Equations (2013)United StatesDeveloped mainly in white and Black Americans
PREVENT (2023)United StatesAges 30-79; adds kidney function; 10- and 30-year risk; predicts heart failure too
QRISK3United KingdomIncludes ethnicity, including South Asian groups, plus other conditions
SCORE2EuropeCalibrated to different European risk regions

What the research shows

Where you live changes what your numbers mean. The World Health Organization's 2019 risk charts were built from 376,177 people in 85 cohorts, with 19,333 heart attacks and strokes over 10 years, and then recalibrated to 21 world regions using national survey data. The same risk factors carried very different risks across regions. For a 60-year-old male smoker without diabetes, with a systolic blood pressure of 140 mmHg and cholesterol of 5 mmol/L, the estimated 10-year risk ranged from 11% in one region to 30% in another. A score built for one population can therefore misjudge risk in another.

Two-bar chart, same risk factors, different risk: for a 60-year-old male smoker with blood pressure 140, cholesterol 5 mmol/L and no diabetes, 10-year cardiovascular risk was 11% in the lowest-risk region and 30% in the highest-risk region (WHO CVD Risk Chart Working Group, The Lancet Global Health, 2019, 21 world regions)

Scores may underestimate risk in South Asians. Many widely used scores were developed mainly in European or American populations. South Asians tend to develop heart disease earlier and at lower levels of traditional risk factors, partly because of insulin resistance, more visceral fat at lower body weight, and higher lipoprotein(a) (see LDL, ApoB and Lipoprotein(a) and What Metabolic Health Really Means). American guidelines list South Asian ancestry as a "risk-enhancing factor" that can tip borderline or intermediate-risk decisions toward treatment. The UK's QRISK3 includes South Asian ethnicity directly. South Asian cardiovascular risk is covered in detail in South Asian Cardiovascular Risk.

Ten-year risk can mislead younger people. Because age is the strongest factor in most scores, younger adults almost always have a low 10-year risk, even with high cholesterol or blood pressure. But atherosclerosis builds up over decades (see How Atherosclerosis Develops). Lifetime or 30-year risk estimates, such as those in the PREVENT calculator, give a truer picture for people in their 30s and 40s, and can show that acting early has the biggest payoff.

Heart age makes risk easier to understand. A 10-year risk of 6% can be hard to interpret. "Heart age" converts it into the age at which a person with ideal risk factors would have the same risk. The US Centers for Disease Control and Prevention estimated heart age for adults aged 30-74. On average, men's heart age was 7.8 years older than their real age and women's was 5.4 years older, and 43.7% of adults had a heart age at least 5 years older than their real age. Heart age is a communication tool rather than a separate measure, but it can make risk more meaningful and motivating.

Stat tiles, is your heart older than you: average heart age was 7.8 years above real age in men and 5.4 years in women, and 43.7% of adults had a heart age at least 5 years older than their real age (US Centers for Disease Control and Prevention, 2015, adults aged 30-74)

Refining an intermediate result. When a score gives a borderline or intermediate result, other information can help. Risk-enhancing factors include a family history of early heart disease, persistently high LDL, metabolic syndrome, chronic kidney disease, high lipoprotein(a), inflammatory conditions, pregnancy complications such as pre-eclampsia, and South Asian ancestry. A coronary artery calcium scan can also reclassify risk (see Coronary Calcium Scoring).

Why this matters for longevity

Risk scores help focus prevention on the people most likely to benefit. But they're a starting point, not a verdict. A "low" 10-year risk in your 30s or 40s doesn't mean your arteries are healthy, and scores built on other populations may underestimate risk in South Asians. The most useful approach combines a calculated risk with lifetime risk, family history and, when needed, further tests, and then acts on the risk factors you can change. Every improvement in blood pressure, cholesterol, blood sugar or smoking lowers your score and your heart age.

Practical notes

References
  1. Yang Q, et al. Vital Signs: Predicted heart age and racial disparities in heart age among U.S. adults at the state level. Morbidity and Mortality Weekly Report, 2015;64(34):950-958.
  2. WHO CVD Risk Chart Working Group. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. The Lancet Global Health, 2019;7(10):e1332-e1345.
  3. Khan SS, et al. Development and validation of the American Heart Association's PREVENT equations. Circulation, 2024;149(6):430-449.
  4. Arnett DK, et al. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease. Journal of the American College of Cardiology, 2019;74(10):e177-e232.
  5. Hippisley-Cox J, Coupland C, Brindle P. Development and validation of QRISK3 risk prediction algorithms to estimate future risk of cardiovascular disease: prospective cohort study. BMJ, 2017;357:j2099.

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