PREVENT-HF
2 papers2 findings
- Humans2
Interventions
1Infection-related hospitalization
upin humans1
1 study
Infection-related hospitalization
upin humans1
Infection-related hospitalization improves PREVENT-HF in humans (change, 0.003 [95% CI, 0.001-0.004]).
Humanswithout baseline cardiovascular diseasen = 29,219
Severe Infections as a Novel Risk-Enhancing Factor for Incident Heart Failure
Journal of the American Heart Association20 Aug 2026
Associations
1Heart failure
upin humans1
1 study
Heart failure
upin humans1
PREVENT-HF predicts heart failure in humans (C statistic 0.824 (95% CI 0.820-0.828)).
Humansn = 680,864
External Validation of the PREVENT Equations in a National Sample of US Adults
Circulation. Population health and outcomes5 Aug 2026
Latest
5 in 12 monthsFrontiers in Cardiovascular Medicine
Artificial intelligence-enabled electrocardiography for assessment of left ventricular systolic dysfunction in the era of foundation models
ReviewBiomarkers
Journal of the American Heart Association
Severe Infections as a Novel Risk-Enhancing Factor for Incident Heart Failure
Cohort study of 80,880 peopleHeart failure
Radiology Cardiothoracic Imaging
Heart Failure Outcome Prediction Using Artificial Intelligence-enabled Coronary Artery Calcium CT Chamber Volumetry Compared to American Heart Association PREVENT and the Agatston Score for Heart Failure Risk Stratification
Cohort study of 5,892 peopleHeart failure
Circulation Population Health and Outcomes
External Validation of the PREVENT Equations in a National Sample of US Adults
Cohort study of 680,864 peoplePREVENT equations
AHA Scientific Sessions 2025 Abstract
AI-Based Cardiac Chamber Volumetry from CAC CT Enhances Heart Failure Prediction Beyond PREVENT-HF
Study in peopleBiomarkers