A web-based dynamic nomogram for predicting readmission in patients with heart failure with preserved ejection fraction
The dynamic nomogram model effectively predicts HF-related rehospitalization risk within 1 year in patients with HFpEF and helps determine high-risk categories among them.
Authors
- Wanling Wu (ORCID: https://orcid.org/0009-0001-8678-7048)
- Guodong Wang (ORCID: https://orcid.org/0000-0001-9917-0656)
- Yi Ji (ORCID: https://orcid.org/0000-0002-5125-1163)
- Yanqing Pan
- Xiaotong Wang (ORCID: https://orcid.org/0000-0003-2827-4102)
- Defeng Pan
- Li Lei (ORCID: https://orcid.org/0000-0001-5429-9675)
- Jie Liu (ORCID: https://orcid.org/0000-0003-1398-5411)
- Yue Hu (ORCID: https://orcid.org/0000-0001-8226-666X)
- Yuanyuan Luo (ORCID: https://orcid.org/0000-0002-3826-3637)
- Hong Zhu (ORCID: https://orcid.org/0000-0002-1907-4072)
Institutions
- Xuzhou Medical College (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fcvm.2025.1492717
- Citations
- 1
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Government of Jiangsu Province