Why the study?
The authors aimed to develop and validate a model and risk score to predict 1-year mortality risk among patients hospitalized for acute heart failure to guide clinical decision making.
Can a 13-predictor risk model accurately predict 1-year mortality in patients hospitalized for acute heart failure?
Population
4,875 patients hospitalized for AHF in 52 hospitals across 20 provinces in China
Design
Prospective cohort study for model development and validation
Follow-up
1-year
Key result
A 13-variable prediction model for 1-year mortality among patients hospitalized for acute heart failure demonstrated high discrimination (validation C-index 0.761; 95% CI 0.731-0.791).
Authors
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May aid post-discharge risk stratification in acute HF; leaves open external validation and outcome impact before routine use.
Cohort (n=4,875)
Yes
Can a 13-predictor risk model accurately predict 1-year mortality in patients hospitalized for acute heart failure?
Effect estimate: C-index 0.761 (validation) (95% CI 0.731-0.791)
A newly developed 13-predictor risk score accurately predicts 1-year mortality in Chinese patients hospitalized for acute heart failure, providing a useful tool for individual risk stratification.
Zhang et al. (2024) conducted a cohort in acute heart failure (n=4,875). 13-predictor risk model vs. Existing risk scores was evaluated on 1-year mortality (C-index 0.761 (validation), 95% CI 0.731-0.791). A 13-variable prediction model for 1-year mortality among patients hospitalized for acute heart failure demonstrated high discrimination (validation C-index 0.761; 95% CI 0.731-0.791).