Development and validation of a model for predicting in-hospital mortality in patients with sepsis-associated kidney injury receiving renal replacement therapy: a retrospective cohort study based on the MIMIC-IV database
The LR model exhibited superior performance in predicting in-hospital mortality in patients with SAKI receiving RRT, suggesting its potential utility in identifying high-risk patients and guiding clinical decision-making.
Authors
- Guolin Wang (ORCID: https://orcid.org/0000-0002-5393-9500)
- Keliang Xie (ORCID: https://orcid.org/0000-0003-0919-9768)
- Lin Chen (ORCID: https://orcid.org/0000-0003-3399-8711)
- Caifeng Li (ORCID: https://orcid.org/0000-0002-8248-7347)
- Ke Zhao (ORCID: https://orcid.org/0000-0001-5317-5937)
- Qian Ren (ORCID: https://orcid.org/0000-0003-3113-2156)
- Ying Zhang (ORCID: https://orcid.org/0000-0001-5476-1524)
Institutions
- Tianjin Medical University General Hospital (CN)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2024-11-04
- DOI
- https://doi.org/10.3389/fcimb.2024.1488505
- Citations
- 10
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 3.87