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September 12, 2025Journal of the American Heart AssociationOpen Access

Validation of the American Heart Association Predicting Risk of Cardiovascular Disease Events Equations in Diverse Socioeconomic Groups: The All of Us Cohort

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Authors

ALAshley LewisABAdrian Matias BacongLPLatha Palaniappan

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Overview

Observational analysis found AHA PREVENT equations predict CVD risk in diverse populations, indicating clinical potential.

Key Points

  • The study showed that the AHA PREVENT equations effectively predict cardiovascular disease risk in diverse socioeconomic groups.
  • Using data from 9010 All of Us participants, the C statistic for overall CVD was 0.732, indicating strong predictive ability.
  • Discrimination was determined through Harrell's C-statistic, assessing predicted and actual 5-year cardiovascular event rates.
  • The findings highlight the need for improving calibration in risk predictions to account for diverse comorbidity profiles.

Cite This Study

Lewis et al. (2025) studied this question.

synapsesocial.com/papers/68d41c09713b0b5dfea658dehttps://doi.org/10.1161/jaha.125.041549
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  5. 5Prognostic Value of the American Heart Association PREVENT Cardiovascular Disease Risk Equations in Cancer Survivorship: A NHANES Population‐Based Study (2009–2018)2025