ASCVD Risk Calculator
Calculate the 10-year atherosclerotic cardiovascular disease (ASCVD) risk using the ACC/AHA pooled cohort equations.
About this calculator
This calculator implements the 2013 ACC/AHA Pooled Cohort Equations, the sex-specific log-linear model from Goff et al.'s "2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk" (Circulation), using age, total cholesterol, HDL cholesterol, systolic blood pressure, treatment status, diabetes, and smoking status. Of those seven inputs, age enters the underlying equation more times than any other -- as a direct term, a squared term, and in interaction terms with both total cholesterol and HDL, plus a further interaction with smoking status -- while total cholesterol, HDL, and systolic blood pressure each appear only once or twice. That repeated appearance makes age's net effect on the calculated risk more entangled with the other inputs than a simple "raising age always raises risk by X" statement would suggest, particularly interacting with smoking status. Total cholesterol and systolic blood pressure each raise the estimate; HDL cholesterol is protective and lowers it. Being on blood pressure medication, having diabetes, and current smoking each add a fixed penalty on top of the continuous variables.
IMPORTANT LIMITATION: this tool implements only the coefficient set the 2013 guideline publishes for non-Hispanic White adults -- there is no race input, and White coefficients are silently applied to every patient regardless of race. This is not a minor caveat: the guideline's own worked example, for identical risk factor inputs, shows White women at 2.1% 10-year risk versus African-American women at 3.0%, and White men at 5.3% versus African-American men at 6.1% -- differences large enough to change whether a patient crosses the 7.5% statin-discussion threshold. Neither coefficient set is validated for other race/ethnicity groups, for adults outside the 40-79 age range, or for anyone with pre-existing ASCVD (this tool is a primary-prevention estimate, not a recurrence-risk tool). For anyone whose race is not well represented by the White coefficient set, the American Heart Association's 2024 PREVENT equations (Circulation 2024) are the modern alternative: they are race-free by design, cover ages 30-79, and are the equations current AHA guidance is moving toward. A resulting risk of 7.5% or higher is the threshold this (White-coefficient) guideline uses to trigger a clinician-patient discussion about starting statin therapy, not an automatic prescription.
Medical Disclaimer
This calculator is for informational and educational purposes only. It is not a substitute for professional medical advice, diagnosis, or treatment. Always consult a qualified healthcare provider before making decisions about your health. Never disregard professional medical advice or delay seeking it because of results from this tool.
Inputs
Results
10-Year ASCVD Risk
5.7%
Risk Category
2(1=Low, 2=Borderline, 3=Intermediate, 4=High)
Figures current as of 2013. Source: Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk. Circulation. 2014;129(25 Suppl 2):S49-S73.
How to Use This Calculator
- Enter patient age, total cholesterol, HDL, and systolic blood pressure.
- Set BP treatment status, smoking status, and diabetes status.
- Review 10-year ASCVD risk (%) — ≥ 7.5% typically triggers statin therapy discussion per ACC/AHA guidelines.
How the result changes with Age
| Age | 10-Year ASCVD Risk | Risk Category |
|---|---|---|
| 40 | 1.1% | 1(1=Low, 2=Borderline, 3=Intermediate, 4=High) |
| 41 | 1.3% | 1(1=Low, 2=Borderline, 3=Intermediate, 4=High) |
| 79 | 31.8% | 4(1=Low, 2=Borderline, 3=Intermediate, 4=High) |
What each input means
- Age
- Patient age (validated for 40-79 years).
- Total Cholesterol
- Total serum cholesterol in mg/dL.
- HDL Cholesterol
- HDL cholesterol in mg/dL.
- Systolic BP
- Systolic blood pressure in mmHg.
- BP Treatment
- Currently on antihypertensive therapy.
- Diabetes
- Diagnosed with diabetes mellitus.
- Current Smoker
- Current cigarette smoker.
- Sex
- Biological sex.
How this is calculated
Worked example, using the default values
- Identify Input Parameters4 parametersAge = 55, Total Cholesterol = 200, HDL Cholesterol = 50, Systolic BP = 130 = 8 input(s) provided
- Calculate 10-Year ASCVD Risk10-Year ASCVD Risk5.7 = 5.7%
- Calculate Risk CategoryRisk Category2 = 2
- Calculate Statin DiscussionStatin Discussion0 = 0
Figures and sources
- ACC/AHA Pooled Cohort Equations (10-year ASCVD risk, White coefficient set) (2013) — Goff DC Jr, Lloyd-Jones DM, Bennett G, et al. 2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk. Circulation. 2014;129(25 Suppl 2):S49-S73.
Engine last updated . Checked against 4 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.
Frequently Asked Questions
Does raising age always raise the calculated ASCVD risk?
Not always. For male patients, age has a consistently positive relationship with 10-Year ASCVD Risk. But the female coefficient set includes an age-squared term (4.884 x ln(age)^2), and depending on the other inputs that squared term can make raising age LOWER the calculated risk over part of the input range -- for example, at total cholesterol 320 mg/dL and HDL 20 mg/dL, risk falls from about 10.8% at age 40 to about 8.3% at age 50 before rising again at older ages. So the direction of age's effect can flip depending on the other risk factors, especially for women -- it is not safe to assume "older is always higher risk" across this calculator's full input range.
Does this calculator work for Black patients or other non-White race/ethnicities?
No, and the gap is larger than a footnote. This tool implements only the coefficient set the 2013 ACC/AHA guideline publishes for non-Hispanic White adults -- there is no race input, so every patient silently gets the White coefficients. The 2013 guideline's own published example shows the real magnitude of the difference for otherwise-identical risk factors: White women 2.1% vs. African-American women 3.0% 10-year risk, and White men 5.3% vs. African-American men 6.1%. That's large enough to flip a patient across the 7.5% statin-discussion threshold in some cases. Neither coefficient set has been validated for other race/ethnicity groups either. If a patient's race is not well represented by the White coefficient set, use the AHA's 2024 PREVENT risk equations (Circulation 2024) instead -- they're race-free by design, cover ages 30-79, and are the equation set current AHA guidance is moving toward. Adding a second (Black) coefficient set to this specific calculator is tracked as future work, not done in this pass -- see the code comment above the claims list.
What does a 10-Year ASCVD Risk of 7.5% or higher actually mean for treatment?
7.5% is the threshold the 2013 ACC/AHA guideline uses to recommend a clinician and patient discuss starting statin therapy as part of a broader risk-reduction conversation -- it is not an automatic prescription. Risk under 5% is considered low, 5-7.5% is borderline, 7.5-20% is intermediate, and 20% or higher is high risk, with the statin discussion becoming a stronger recommendation as risk climbs through those bands.
Can this calculator estimate risk for someone who already has heart disease?
No. The Pooled Cohort Equations are a primary-prevention tool, meaning they estimate first-event risk in people without known atherosclerotic cardiovascular disease. Someone with an existing history of heart attack, stroke, or diagnosed ASCVD needs a secondary-prevention risk assessment instead, which this calculator does not provide.
Why do the inputs only go from age 40 to 79?
The Pooled Cohort Equations were derived and validated in cohort studies covering ages 40 through 79, so this calculator restricts the age input to that validated range. Applying the same log-linear coefficients to a 35-year-old or a 90-year-old extrapolates well outside the data the equations were fit to and can produce an unreliable estimate.
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