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

Our findings suggest that a predictive model incorporating the variables of cTn, FBG, serum sodium, eGFR and NEU demonstrating a good predictive ability for 90-day readmission risk in patients with CHF, which can aid clinicians in clinical decisions and personalized management.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2025-11-06
DOI
https://doi.org/10.3389/fcvm.2025.1627789
Primary Topic
Heart Failure Treatment and Management
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Bo Zou, Zhizhen Lai, Chao Feng, Qianqian He et al.
Frontiers in Cardiovascular Medicine
Heart Failure Treatment and Management
article

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

Bo Zou, Zhizhen Lai, Chao Feng, Qianqian He, Yangkai Shi
article en

Abstract

Our findings suggest that a predictive model incorporating the variables of cTn, FBG, serum sodium, eGFR and NEU demonstrating a good predictive ability for 90-day readmission risk in patients with CHF, which can aid clinicians in clinical decisions and personalized management.

Frontiers in Cardiovascular MedicineVol. 12
Zhejiang Chinese Medical University (CN), Zhejiang University (CN)
Division of Graduate Education
Openalex Percentile: Top 50%
Heart Failure Treatment and Management
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Construction and validation of a prediction model for 90-day readmission risk in patients with chronic heart failure — Bo Zou, Zhizhen Lai, et al. · Frontiers in Cardiovascular Medicine (2025) | TGRS Research Map | TGRS