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Changing the paradigm in heart failure: shifting from treatment to prevention
Alex J Chang1, Yilin Liang1, Michael P Girouard2
1Department of Medicine, Kaiser Permanente San Francisco Medical Center, 2425 Geary Boulevard, San Francisco, CA, 94115, USA.
Insights
Heart failure (HF) prevention is crucial due to rising prevalence. New risk models and therapies like SGLT2 inhibitors offer improved strategies for identifying and managing high-risk patients.
Area of Science:
- Cardiology
- Preventive Medicine
- Public Health
Background:
- Heart failure (HF) is a growing global health concern with increasing prevalence, morbidity, mortality, and healthcare costs.
- An aging population and rising comorbidities highlight the complex interplay of cardiovascular, kidney, and metabolic factors, shifting focus towards HF prevention.
- Novel pharmacological therapies, including SGLT2 inhibitors, GLP1 receptor agonists, and MRAs, are emerging for HF prevention, underscoring the need for accurate risk prediction.
Purpose of the Study:
- To review recent advancements in heart failure prevention strategies.
- To discuss evolving risk assessment tools and their limitations.
- To explore emerging pharmacological treatments and implementation challenges.
Main Methods:
- Review of current literature on heart failure risk assessment and prevention.
- Analysis of the American Heart Association's PREVENT models for cardiovascular disease and HF risk.
- Examination of novel pharmacological therapies and their role in primary HF prevention.
Main Results:
- The PREVENT models offer improved risk stratification for primary HF prevention but have limitations regarding diverse populations and specific risk factor roles.
- Accurate HF risk prediction is essential for optimizing the use of new, costly preventive therapies.
- Implementation requires understanding optimal therapy sequencing, patient prioritization, and effective risk communication.
Conclusions:
- Accurate risk stratification is paramount for effective heart failure prevention.
- Further research is needed to address limitations in current risk models and optimize clinical implementation.
- Integrating novel therapies necessitates a comprehensive approach to risk assessment, patient selection, and care management.
Abstract:
Heart failure (HF) poses a major global health challenge with rising prevalence, significant morbidity and mortality, and substantial associated healthcare costs. With aging of the population and an increasing burden of comorbidities, the complex interplay between cardiovascular, kidney, and metabolic risk factors have been thrust into the spotlight and have broadened the traditional focus from HF treatment to an increased emphasis on prevention. In recognition of the evolving HF landscape, the American Heart Association released the PREVENT models which are comprehensive risk assessment tools that estimate 10- and 30-year risk of incident cardiovascular disease and its subtypes, including atherosclerotic cardiovascular disease (ASCVD) and, for the first time, HF. While it is an accurate risk estimation tool and represents a step forward in improving risk stratification for primary prevention of HF, there remain several limitations and unknowns like model performance across disaggregated racial and ethnic groups, the role of traditional ASCVD vs. HF-specific risk factors, HF prediction among those with known ASCVD, and the use of traditional regression techniques in lieu of potentially more powerful machine learning-based modeling approaches. Furthermore, it remains unclear how to optimize risk estimation in clinical care. The emergence of multiple novel pharmacological therapies that prevent incident HF, including sodium-glucose co-transporter 2 (SGLT2) inhibitors, glucagon-like peptide 1 (GLP1) receptor agonists, and nonsteroidal mineralocorticoid receptor antagonists (MRAs), highlights the importance of accurate HF risk prediction. To provide HF prevention with these effective but costly therapies, we must understand the optimal strategy in sequencing and combining these therapies and prioritize patients at highest risk. Such implementation requires both accurate risk stratification and a better understanding of how to communicate risk to patients and providers. This state-of-the-art review aims to provide a comprehensive overview of recent trends in HF prevention, including risk assessment, care management strategies, and emerging and novel treatments.
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