Work

Validation of the PREVENT-HF Risk Prediction Equation in US Veterans

Year: 2026

Type: article

Abstract: One in four adults in the United States will receive a diagnosis of heart failure (HF) in their lifetime (1), highlighting an urgent need for expanded prevention.Accurate prediction of HF risk is critical to prioritize high-risk individuals for targeted intervention.The American Heart Association's PREVENT-HF equation is a novel HF risk prediction tool (2).However, it is unclear how well this model generalizes outside of its development cohort.This is important for populations with disproportionately high risk of HF, such as US Veterans (3).Prior validation in this population has focused on other endpoints (e.g., atherosclerotic cardiovascular disease [ASCVD]) and limited outcome ascertainment to Veterans Health Administration (VHA) data, which didn't capture diagnoses from Medicare or VHA-paid community care claims (4).To address this gap, we validated PREVENT-HF in US Veterans.

Source: Circulation

DOI: 10.1161/circulationaha.126.081422