Audited ·Last updated 27 Jul 2026·3 citations·Tier 2·0 uses

ASCVD 10-Year Risk Calculator

Free ASCVD 10-year risk calculator using the 2013 ACC/AHA Pooled Cohort Equations. Estimate cardiovascular risk by age, sex, race, cholesterol, and BP.

ASCVD Risk Calculator

The Pooled Cohort Equations were derived and validated only for adults 40-79 years of age (Goff et al., 2013 ACC/AHA Guideline). Outside this range, no published coefficients exist.
Sex
Race
On blood pressure medication
Current smoker
History of diabetes
10-year ASCVD risk
5.3844
Estimated probability of a first hard ASCVD event (nonfatal heart attack, coronary heart disease death, or fatal/nonfatal stroke) within 10 years, from the 2013 ACC/AHA Pooled Cohort Equations.
Risk category
Low risk (<7.5%)

Background.

This calculator estimates 10-year risk of a first hard atherosclerotic cardiovascular disease (ASCVD) event — defined as a nonfatal heart attack, coronary heart disease death, or fatal or nonfatal stroke — using the Pooled Cohort Equations published in the 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk. This is an educational estimate, not a diagnosis, and it does not replace a conversation with a qualified clinician. The Pooled Cohort Equations were built from pooled data spanning four large NHLBI-sponsored cohort studies (ARIC, the Cardiovascular Health Study, CARDIA, and the Framingham Original and Offspring cohorts) and validated separately for non-Hispanic White and African-American men and women aged 40 to 79. A risk score, however carefully derived, is a population-average statement applied to an individual — it tells you what fraction of people who share your measured risk factors went on to have an ASCVD event within a decade in the derivation cohorts, not what will happen to you specifically.

The six inputs — age, sex, race, total cholesterol, HDL cholesterol, systolic blood pressure (and whether it is treated with medication), smoking status, and diabetes history — are exactly the variables the guideline's own statistical models found to statistically merit inclusion. Every coefficient behind this calculator was transcribed directly from Appendix 4, Table A of the guideline's full-text PDF (not from any third-party summary or competitor calculator) and hand-verified against the guideline's own four published worked examples before a single line of formula code was written — full details are in the calculator's source file and the accompanying research dossier.

The equations replaced the older Framingham CHD risk score specifically because Framingham was derived from an all-White cohort and predicted coronary heart disease alone; the Pooled Cohort Equations add African-American-specific coefficients and broaden the outcome to include stroke, which the guideline's authors judged more clinically relevant. Because the underlying statistical model differs meaningfully by sex and by race, this calculator asks for both and uses one of four separate coefficient sets accordingly — there is no single universal formula.

This calculator is one piece of a larger risk picture. Pair it with Quanta's cholesterol ratio, LDL cholesterol, and blood pressure calculators to understand the inputs feeding into this score, and with the cardiac output calculator if you are evaluating hemodynamics rather than long-term atherosclerotic risk. None of these tools, individually or together, are a substitute for clinical evaluation — a risk score is a conversation starter with a clinician, not a verdict.

What is ascvd risk calculator?

Atherosclerotic cardiovascular disease (ASCVD) risk is the estimated probability that a person free of known cardiovascular disease today will experience a first "hard" ASCVD event — a nonfatal heart attack, death from coronary heart disease, or a fatal or nonfatal stroke — within a defined time horizon, here ten years. The Pooled Cohort Equations estimate this probability from a proportional-hazards statistical model fit separately to four population groups: White women, African-American women, White men, and African-American men, each aged 40 to 79 at baseline. Within each group, the model combines age, total cholesterol, HDL cholesterol, systolic blood pressure (with a separate adjustment for whether it is pharmacologically treated), current smoking status, and diabetes history into a single risk score.

The guideline that published these equations also adopted a specific clinical decision threshold: a 10-year risk of 7.5% or higher is treated as "elevated" and prompts a more active risk-reduction discussion (lifestyle change, and often statin therapy), while risk below 7.5% is treated as "low" for this specific decision point. That 7.5% line — not any finer breakdown — is the one number from downstream clinical guidelines that this calculator reproduces, because it is the threshold stated explicitly inside the 2013 guideline itself; any additional risk-tier boundaries used elsewhere have not been independently verified here and are deliberately not shown.

How to use this calculator.

  1. Enter age in years (40-79 — the range the equations were validated for).
  2. Select sex and race. Only White and African-American coefficient sets have been published and verified; the calculator does not extrapolate to other groups.
  3. Enter total cholesterol and HDL cholesterol in mg/dL from a recent lipid panel.
  4. Enter systolic blood pressure in mmHg, and indicate whether it is currently treated with antihypertensive medication — the equations use different coefficients for treated versus untreated blood pressure.
  5. Answer the current-smoker and diabetes-history questions.
  6. Read the primary result as a 10-year percentage risk, and the risk category ("Low" below 7.5%, "Elevated" at or above 7.5%) beneath it. Bring both numbers to a clinician for interpretation rather than acting on them alone.

The formula.

Risk = 1 − S₀(10)^exp(Σ − mean)

The Pooled Cohort Equations are a Cox proportional-hazards survival model. For each of the four sex/race groups, the guideline publishes a set of coefficients that multiply the natural logarithm of age, total cholesterol, HDL cholesterol, and systolic blood pressure, plus several age-interaction terms, plus binary terms for current smoking and diabetes. Summing every coefficient times its transformed value produces an "individual sum" — a single number summarizing that person's overall risk-factor burden relative to the model.

Systolic blood pressure enters the model twice, through two different coefficients, depending on whether it is being treated with medication. This matters because treated hypertension in the derivation cohorts carried a different residual risk than an equally-elevated untreated reading, likely reflecting both the underlying disease severity that prompted treatment and the partial protection medication provides.

The individual sum is then compared to that same group's sample-mean sum from the derivation cohort, and the difference is exponentiated: exp(individualSum − meanSum). This exponentiated difference scales a group-specific 10-year baseline survival probability, S0(10) — the probability a person with exactly the group's average risk-factor profile survives ASCVD-free for ten years. Raising S0(10) to the power of the exponentiated difference shifts that baseline survival up or down based on how far the person's risk factors sit from the group average, and 1 minus that adjusted survival probability is the reported 10-year risk.

Because exp(x) is strictly positive for any real x, and S0(10) is always strictly between 0 and 1 for every published group, S0(10) raised to any positive power always stays strictly between 0 and 1 as well — which means the final risk estimate is mathematically guaranteed to fall strictly between 0% and 100% for any input, with no need to artificially cap it. The guideline separately notes that when these equations were used to build a population-representativeness table from NHANES data, the resulting probabilities were truncated at 1% and 30% because estimates become statistically unstable at the extreme edges of the sample data — that caveat is about a specific population table, not a hard rule for every individual estimate, so this calculator reports the raw computed number and lets you weigh very low or very high results with appropriate caution rather than silently re-capping them.

A worked example.

Example

This is the exact risk-factor profile the 2013 ACC/AHA guideline itself uses as a worked example in Appendix 4: a 55-year-old, non-smoking, non-diabetic person with a total cholesterol of 213 mg/dL, HDL cholesterol of 50 mg/dL, and an untreated systolic blood pressure of 120 mmHg. For a White man with this exact profile, the guideline's own published individual sum is 60.69 against a group mean of 61.18, with a group 10-year baseline survival of 0.9144. Working through 1 − 0.9144^exp(60.69 − 61.18) reproduces the guideline's own published result of approximately 5.3% — below the 7.5% elevated-risk threshold, so this calculator reports a Low risk category. Running the identical risk-factor profile through the other three published groups reproduces the guideline's other three worked examples: 2.1% for a White woman, 3.0% for an African-American woman, and 6.1% for an African-American man — demonstrating how much the same measured risk factors can shift purely based on the sex- and race-specific coefficient set the equations use.

systolic B P120
smokerno
hdl Cholesterol50
racewhite
sexmale
total Cholesterol213
diabetesno
age55
on B P Medicationno

Frequently asked questions.

Is this an official diagnosis or medical advice?
No. This calculator is an educational tool that reproduces a published statistical equation; it is not a diagnosis, and it does not know your full medical history, family history, medication list, or physical exam findings. A 10-year ASCVD risk estimate — from this calculator or any other implementation of the same equations — should always be interpreted by a qualified clinician alongside the rest of your clinical picture, not acted upon in isolation. If you are concerned about your cardiovascular risk, talk to a doctor or nurse practitioner.
Why does the calculator ask for race, and why only White and African-American?
The Pooled Cohort Equations were statistically derived and separately validated for non-Hispanic White and African-American adults because the underlying cohort studies had sufficient long-term follow-up data in only those two groups; the guideline explicitly states that data from other race/ethnic groups were insufficient for deriving separate coefficient sets. The guideline (Recommendation 2, expert opinion / Class IIb) notes that the White equations may be considered for other populations as a rough approximation, cautioning the result is likely an over-estimate for Hispanic- and Asian-American patients, but this is an extrapolation, not a validated calculation — which is why this calculator restricts its options to the two published, verified groups rather than silently applying White coefficients to everyone else.
Why does blood pressure treatment status change the result?
The Pooled Cohort Equations use two different coefficients for systolic blood pressure depending on whether the patient is currently on antihypertensive medication. In the derivation cohorts, a treated blood pressure reading of, say, 140 mmHg reflected different underlying risk than an identical untreated reading of 140 mmHg — partly because treatment itself was already reducing the risk that reading would otherwise represent, and partly because the fact of being treated correlated with more severe underlying disease. The model captures both effects by branching on treatment status rather than treating all systolic blood pressure readings identically.
What does the 7.5% risk threshold actually mean?
The 2013 ACC/AHA guideline explicitly adopted a 10-year risk of 7.5% as the threshold at which a companion cholesterol-treatment guideline recommends a more active discussion about statin therapy and intensified lifestyle intervention, replacing an older Adult Treatment Panel III threshold of roughly 10% CHD-only risk. It is a population decision-rule embedded directly in the same guideline document these equations come from — not an arbitrary cutoff invented for this calculator. It does not mean risk below 7.5% requires no action, nor that risk above 7.5% automatically requires medication; it is one input into a shared decision-making conversation with a clinician.
How accurate are the Pooled Cohort Equations, and are there newer alternatives?
The guideline reports good discrimination and calibration for the derivation cohorts, with C-statistics (a measure of how well the model ranks higher- versus lower-risk individuals) ranging from 0.713 in African-American men to 0.818 in African-American women. Independent validation studies published after 2013 have generally found the equations perform reasonably in similar populations but can over- or under-estimate risk in populations that differ meaningfully from the original derivation cohorts, including some contemporary and non-U.S. populations. The American Heart Association published newer PREVENT equations in 2023 that incorporate kidney function and remove race as an input variable; this calculator implements the original, still widely used 2013 Pooled Cohort Equations specifically, and does not attempt to blend in the newer model.
What should I do if my result shows an elevated risk?
Bring the result to a clinician rather than acting on it alone. An elevated estimate is a prompt to discuss modifiable risk factors — blood pressure control, cholesterol management, smoking cessation, physical activity, and diabetes management — and, where appropriate, medication such as statin therapy, in the context of your full history, other risk-enhancing factors the equations do not capture (such as family history or inflammatory markers), and your own preferences. It is not, by itself, evidence of an impending event, and it should never be used to self-prescribe medication.

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