From the Journals

PREVENT Equations Show How Age, Risk Factors Shape CVD Risk

Systematic analysis demonstrates how kidney disease, diabetes, and other factors accelerate 10-year cardiovascular risk, helping guide clinician–patient prevention discussions.

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A systematic analysis of the PREVENT equations, developed by the American Heart Association in 2023, offers insights on cardiovascular disease (CVD) risk estimations tied to age and risk factor combinations. Evaluating hypothetical patient profiles aged 30 to 79 years revealed that risk significantly increases with age, while clustering high-risk factors such as chronic kidney disease and diabetes exerts a profound impact on risk thresholds. Despite the models' complexity, they allow for individualized assessments and underscore the importance of social and metabolic factors in predicting CVD risk over both 10 and 30 years, especially for younger patients. Key points on potential screening and treatment optimization were also discussed, highlighting the researchers’ findings.

Original Source(s)

PREVENT Equations Show How Age, Risk Factors Shape CVD Risk

  • by Olivia Anderson

  • March 19, 2026

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