
The scientific statement outlines a framework for risk-based primary prevention of heart failure (HF). It highlights new risk prediction models like PREVENT and multivariable equations, identifies cardiovascular-kidney-metabolic syndrome as a key phenotype, and supports therapies like SGLT2 inhibitors. Incorporating biomarkers, echocardiography, and cost-effective thresholds can enable earlier HF detection and prevention. Strategies for equitable implementation are also discussed.
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