Ten‐Year Risk Equations for Incident Heart Failure in Established Atherosclerotic Cardiovascular Disease Populations

Abstract

Background Ten‐year risk equations for incident heart failure (HF) are available for the general population, but not for patients with established atherosclerotic cardiovascular disease (ASCVD), which is highly prevalent in HF cohorts. This study aimed to develop and validate 10‐year risk equations for incident HF in patients with known ASCVD. Methods and Results Ten‐year risk equations for incident HF were developed using the United Kingdom Biobank cohort (recruitment 2006–2010) including participants with established ASCVD but free from HF at baseline. Model performance was validated using the Australian Baker Heart and Diabetes Institute Biobank cohort (recruitment 2000–2011) and compared with the performance of general population risk models. Incident HF occurred in 13.7% of the development cohort (n=31 446, median 63 years, 35% women, follow‐up 10.7±2.7 years) and in 21.3% of the validation cohort (n=1659, median age 65 years, 25% women, follow‐up 9.4±3.7 years). Predictors of HF included in the sex‐specific models were age, body mass index, systolic blood pressure (treated or untreated), glucose (treated or untreated), cholesterol, smoking status, QRS duration, kidney disease, myocardial infarction, and atrial fibrillation. ASCVD‐HF equations had good discrimination and calibration in development and validation cohorts, with superior performance to general population risk equations. Conclusions ASCVD‐specific 10‐year risk equations for HF outperform general population risk models in individuals with established ASCVD. The ASCVD‐HF equations can be calculated from readily available clinical data and could facilitate screening and preventative treatment decisions in this high‐risk group.

Keywords

• atherosclerotic cardiovascular disease
• heart failure
• prediction
• risk equations