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Background: Individuals with heart failure (HF) have a high burden of health care utilization, cost, and morbidity in the year following hospitalization for an acute HF exacerbation.Frailty, described as increased vulnerability to adverse events, is common among those with HF and increases with age1.Health systems worldwide are integrating automated tools within electronic health records (EHR) to measure frailty.However, the consideration of longitudinal data to measure frailty to better predict outcomes among those with HF is lacking2-5. Objective:We sought to evaluate the predictive value of adding longitudinal data to a standard frailty index and evaluate prediction of 1-year outcomes in patients with heart failure.
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Razjouyan et al. (2024) studied this question.
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