Development and Validation of a Risk Prediction Model for New-Onset Atrial Fibrillation in Sepsis
A risk prediction model incorporating Log IL-6, BUN, and HR effectively could predict NOAF in sepsis patients, with good discrimination, calibration, and potential clinical applicability for early risk identification. However, prior to further clinical application, additional multicenter, prospective studies are required for external validation.
Authors
- Yi Gou (ORCID: https://orcid.org/0000-0001-5653-2266)
- Peng Peng (ORCID: https://orcid.org/0009-0001-8344-0356)
- Dandan Li (ORCID: https://orcid.org/0000-0003-2949-2777)
- Jianzhong Yang (ORCID: https://orcid.org/0000-0001-5119-1765)
- Y. Chai
- Yun Cong
Institutions
- Xinjiang Medical University (CN)
- First Affiliated Hospital of Xinjiang Medical University (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/ijgm.s567490
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Xinjiang Medical University