Clinical tool · for healthcare professionals

PREVENT cardiovascular risk calculator

Estimate 10- and 30-year cardiovascular, ASCVD and heart-failure risk with the American Heart Association PREVENT™ equations. Built for clinicians using current patient measurements; results include guideline context and projected treatment benefit.

Deolify Health and Research PREVENT Risk Calculator — cardiovascular risk over 10 and 30 years
Required patient data
Sex*
years
mm Hg
mg/dL
mL/min/1.73m²
Estimate from serum creatinine
2021 CKD-EPI, without a race coefficient. Enter age and sex first.
kg/m² — enters the heart failure equations only
Calculate from height and weight
Diabetes
Any history of diabetes
Current smoking
Any cigarette use within the last 30 days
Lipid-lowering medication
Current statin use
Antihypertensive medication
Any medication for hypertension
Optional model predictors

Each of these selects a more personalised equation when it is clinically indicated and available. Leaving them blank keeps the base equations.

mg/g — indicated in chronic kidney disease, diabetes or hypertension
% — indicated in diabetes, prediabetes, overweight or obesity, or prior gestational diabetes
Supplies the Social Deprivation Index decile. US ZIP codes only.
Clinical context

The equations do not read these. They decide which guideline recommendations apply once the risk has been calculated.

mm Hg — for blood pressure staging
mg/dL — for lipid-lowering decisions
Other conditions
References — 13 sources this tool computes from
The equations
  1. Khan SS, Matsushita K, Sang Y, et al. Development and validation of the American Heart Association Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations. Circulation. 2024;149(6):430–449. doi:10.1161/CIRCULATIONAHA.123.067626 Source of all 100 coefficient sets and the model specification.
  2. Khan SS, Coresh J, Pencina MJ, et al. Novel prediction equations for absolute risk assessment of total cardiovascular disease incorporating cardiovascular-kidney-metabolic health: a scientific statement from the American Heart Association. Circulation. 2023;148:1982–2004. doi:10.1161/CIR.0000000000001191 Rationale for the predictor set and the CKM framing.
  3. Krishnan V, Huang X, Perak AM, et al. PREVENT risk age equations and population distribution in US adults. JAMA Cardiol. 2025;10(9):962–964. doi:10.1001/jamacardio.2025.2427 Closed-form PREVENT-Age equations used on this page.
  4. Krishnan V, Huang X, Zhang S, et al. Age and sex-specific percentiles of 30-year cardiovascular disease risk based on the PREVENT equations. J Am Coll Cardiol. 2025;86(21):2017–2027. doi:10.1016/j.jacc.2025.09.1509 Source of the 30-year percentile lookup tables.
Guidelines applied to the estimate
  1. Blumenthal RS, Morris PB, Gaudino M, et al. 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA guideline on the management of dyslipidemia. Circulation. 2026;153:e1154–e1276. doi:10.1161/CIR.0000000000001423 PREVENT-ASCVD risk bands, statin intensity (Table 6), LDL-C goals, risk-enhancing factors.
  2. Jones DW, Ferdinand KC, Taler SJ, et al. 2025 AHA/ACC guideline for the prevention, detection, evaluation and management of high blood pressure in adults. Circulation. 2025;152(11):e114–e218. doi:10.1161/CIR.0000000000001356 Blood pressure staging and the 7.5% PREVENT-CVD treatment threshold.
  3. Ndumele CE, Rodriguez F, Dixon DL, et al. 2026 AHA/ACC/ADA/ASN guideline for the prevention, detection, evaluation and management of cardiovascular-kidney-metabolic syndrome. Circulation. 2026. doi:10.1161/CIR.0000000000001453 SGLT2 inhibitor and GLP-1 thresholds, and the 5% PREVENT-HF threshold.
Treatment benefit and supporting calculations
  1. Lloyd-Jones DM, Huffman MD, Karmali KN, et al. Estimating longitudinal risks and benefits from cardiovascular preventive therapies among Medicare patients: the Million Hearts Longitudinal ASCVD Risk Assessment Tool. Circulation. 2017;135:e793–e813. doi:10.1161/CIR.0000000000000467 The three-step method behind the absolute risk reduction and number needed to treat.
  2. Inker LA, Eneanya ND, Coresh J, et al. New creatinine- and cystatin C-based equations to estimate GFR without race. N Engl J Med. 2021;385:1737–1749. doi:10.1056/NEJMoa2102953 2021 CKD-EPI equation used by the optional eGFR helper.
Data provenance
  1. American Heart Association. PREVENT™ online calculator and equations FAQ. professional.heart.org Reference implementation this tool was validated against, and the published relative risk reductions.
  2. Jaeger BC. PooledCohort R package. github.com/bcjaeger/PooledCohort Machine-readable coefficient tables transcribed from the Circulation supplement.
  3. Mayer MG. preventr R package. github.com/martingmayer/preventr Independent coefficient set used to verify every value, and the ZIP-to-SDI decile mapping.
  4. Khan Lab, Northwestern University. preventpercentiles. github.com/nwkhanlab/preventpercentiles Official 30-year percentile workbook and its lookup convention.

Intended for clinicians, supporting rather than replacing clinical judgement. Risk should be calculated from current laboratory values and a recent clinical assessment. The PREVENT equations are validated for adults aged 30–79 without known cardiovascular disease, and should not be used in people with known CVD, severe subclinical CVD (ejection fraction below 40%, or coronary artery calcium of 300 or more), a pathogenic variant for an inherited cardiovascular condition, end-stage kidney disease, or a life expectancy under one year. The equations were developed in US adults, so estimates elsewhere warrant caution, and the Social Deprivation Index predictor applies only to US residents. This is an independent implementation and carries no endorsement from the American Heart Association.