Construction and validation of a prediction model for 90-day readmission risk in patients with chronic heart failure.

ABSTRACT:

Background

Chronic heart failure (CHF) is associated with high morbidity and mortality rates, which is not curable currently, resulting in an increasing risk of readmission and imposing a considerable burden on healthcare systems. Predictive modeling is a critical tool for guiding the clinical management of CHF. 90-day is a crucial time point for readmission risk assessment in patients with CHF. However, there is a lack of risk factor exploration, as well as predictive modeling for 90-day readmission risk in these patients. The aim of this study is to identify prognostic risk biomarkers and develop a novel prediction model for 90-day readmission for patients with CHF.

Methods

542 CHF patients hospitalized at the Department of Cardiology, the Fourth Affiliated Hospital of Zhe

SUBMITTER: He Q 

PROVIDER: S-EPMC12630121 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature