Why the study?
Existing prediction models lack generalized applicability for predicting chronic heart failure readmission.
Population
2,980 consecutive patients with CHF from two hospitals
Design
Multicenter prospective cohort study
Follow-up
180 days
Authors
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May aid readmission risk stratification in chronic HF; extends prior models but leaves open prospective impact.
A nomogram based on five clinical variables (history of acute heart failure, emergency department visit, age, blood urea nitrogen level, and beta-blocker usage) can accurately predict 180-day readmission risk in patients with chronic heart failure.
Gao et al. (2021) studied this question.
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