Abstract
Heart failure (HF) is a public health challenge with high morbidity and mortality risk, and societal economic costs. The lifetime risk of developing HF stands at 1 in 4. A significant portion of the population already is in precursor stages, with roughly two-thirds of adults in the United States classified as either stage A (at risk) or stage B (pre-HF). Despite advances in drugs and device-based therapies, once HF develops, these patients remain at an unacceptably high risk for mortality, morbidity, and adverse health status, underscoring the need for focus on primary prevention of HF. The prevention of atherosclerotic cardiovascular disease is supported by established guidelines with clear targets and pharmacotherapies with specific labels for prevention. However, prevention of HF remains less well established. No therapeutic agent is approved yet specifically for the primary prevention of HF. Defining and adjudicating incident HF is challenging. Most trials report initial HF hospitalizations only. The conventional hospitalization-based definition of incident HF does not take into account outpatient settings where most HF is diagnosed. A fundamental reevaluation of preventive strategies for HF is required, moving incrementally from coronary disease-based approaches to more global populations, because many HF cases arise from nonatherosclerotic causes, such as obesity, hypertension, cancer therapies, and the cardio-kidney-metabolic syndrome. This review addresses practical challenges in defining incident HF, trial duration, and regulatory pathways, while summarizing the landscape of current and ongoing prevention trials, identifying evidence gaps, and highlighting future priorities.
| Original language | English |
|---|---|
| Pages (from-to) | 1907-1935 |
| Number of pages | 29 |
| Journal | Journal of the American College of Cardiology |
| Volume | 87 |
| Issue number | 15 |
| DOIs | |
| State | Published - 21 Apr 2026 |
Keywords
- clinical trials
- endpoint
- heart failure
- prevention
- regulatory pathways
- risk prediction
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