Machine learning prediction models for mortality risk in sepsis-associated acute kidney injury: evaluating early versus late CRRT initiation
While later initiation of CRRT in S-AKI patients was associated with improved survival, this benefit comes with increased healthcare resource utilization. The clinical parameters, rather than CRRT timing, are the primary determinants of patient outcomes, suggesting the need for a more personalized approach to CRRT initiation based on overall illness severity.
Authors
- Songjie Bai (ORCID: https://orcid.org/0000-0001-8131-6979)
- Ruomeng Hu (ORCID: https://orcid.org/0009-0000-6714-2626)
- Ke Li (ORCID: https://orcid.org/0000-0002-7318-1186)
- Zhang Sheng
- Chuanren Zhuang
- Zhengshuang Liu
- Xuehuan Wen
Institutions
- Nanchang University (CN)
- Wenzhou Medical University (CN)
- Wenzhou Hospital of Traditional Chinese Medicine (CN)
- First Affiliated Hospital of Jiangxi Medical College (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-01-22
- DOI
- https://doi.org/10.3389/fmed.2024.1483710
- Citations
- 6
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 8.13