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July 30, 2026Evidence to Action Official Journal of MDCalc

Review of Predicting Risk of Cardiovascular Disease EVENTs (PREVENT)

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Why the study?

Do the PREVENT equations improve cardiovascular risk prediction compared to the Pooled Cohort Equations in adults without established CVD?

Population

Adults without established CVD in large, diverse US populations

Comparison

PREVENT equations vs prior Pooled Cohort Equations

Design

Review

Follow-up

10- and 30-year risk prediction

Key result

The PREVENT equations demonstrate improved calibration and broader applicability for predicting cardiovascular risk compared with the prior Pooled Cohort Equations.

Authors

RARahul Aggarwal

Discussion

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Overview

Supports updated risk prediction in primary prevention; leaves open prospective outcome validation.

Key Points

  • To assess the effectiveness of the PREVENT equations in estimating long-term cardiovascular disease risk in primary prevention populations.
  • Developed from large, diverse US populations
  • Incorporates traditional and CKM risk factors
  • Evaluated against prior Pooled Cohort Equations for calibration and applicability.
  • PREVENT models show improved calibration and broader applicability than prior models
  • Yielded lower estimated ASCVD risk reflecting contemporary population changes
  • Incorporated into US prevention guidelines for risk-based primary prevention strategies.

Structured PICO

Do the PREVENT equations improve cardiovascular risk prediction compared to the Pooled Cohort Equations in adults without established CVD?

P
Population
Adults without established cardiovascular disease (primary prevention) from large, diverse US populations
E
Exposure
PREVENT equations (incorporating traditional risk factors, kidney function, and optional cardiovascular-kidney-metabolic variables)
C
Comparator
Pooled Cohort Equations
O
Outcome
10- and 30-year risk of total cardiovascular disease (CVD), atherosclerotic cardiovascular disease (ASCVD), heart failure, coronary artery disease, and stroke

The PREVENT equations offer improved, contemporary risk prediction for CVD and heart failure compared to the Pooled Cohort Equations, and are now incorporated into US prevention guidelines.

Limitations

  • The downstream impact on treatment eligibility and the optimal treatment thresholds for PREVENT-based risk estimates remain areas of ongoing study.
  • Downstream impact on treatment eligibility and the optimal treatment thresholds for PREVENT-based risk estimates remain areas of ongoing study

Cite This Study

Rahul Aggarwal (2026) conducted a review in Cardiovascular disease risk (primary prevention). PREVENT equations vs. Pooled Cohort Equations was evaluated on 10- and 30-year risk of total CVD, ASCVD, heart failure, coronary artery disease, and stroke. The PREVENT equations demonstrate improved calibration and broader applicability for predicting cardiovascular risk compared with the prior Pooled Cohort Equations.

synapsesocial.com/papers/6a6af4e960e2b924d3ea06adhttps://doi.org/10.65357/001c.164331
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