From prediction to prevention: The role of heart failure risk models.

Their findings illuminate the potential of these models to improve the early identification of patients at risk of developing HF, particularly stage B HF, which could lead to early intervention strategies and, ultimately, improved patient outcomes. B This article refers to 'Prediction models for heart failure in the community: A systematic review and meta-analysis' by R Nadarajah I et al i ., published in this issue on pages 1724-1738. b Heart failure (HF) is a complex clinical syndrome that represents a significant and growing public health concern worldwide.[1] With an aging population and increasing prevalence of risk factors such as hypertension, diabetes, and obesity, the incidence of HF is only expected to increase. [Extracted from the article]