Why the study?
Tools to predict long-term mortality among patients hospitalized with acute heart failure in China are limited.
Does a 13-predictor risk model accurately predict 4-year mortality in patients hospitalized with acute heart failure and discharged alive?
Population
4875 patients hospitalized for AHF and discharged alive
Design
Prospective cohort study
Follow-up
4 years
Key result
A 13-predictor model demonstrated reasonable discrimination for predicting 4-year mortality in patients discharged alive after acute heart failure (development C-index 0.726; 95% CI 0.714-0.739).
Authors
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May aid post-AHF discharge prognostication; leaves open external validation before clinical adoption.
Cohort (n=4,875)
Yes
Does a 13-predictor risk model accurately predict 4-year mortality in patients hospitalized with acute heart failure and discharged alive?
Effect estimate: C-index 0.726 (95% CI 0.714-0.739)
A novel 13-variable risk score provides reasonable discrimination for predicting 4-year mortality in Chinese patients discharged alive after acute heart failure.
Wang et al. (2025) conducted a cohort in Acute heart failure (n=4,875). 13-predictor risk model was evaluated on 4-year mortality (C-index 0.726, 95% CI 0.714-0.739). A 13-predictor model demonstrated reasonable discrimination for predicting 4-year mortality in patients discharged alive after acute heart failure (development C-index 0.726; 95% CI 0.714-0.739).