Association between the nutritional inflammation index and mortality among patients with sepsis: insights from traditional methods and machine learning-based mortality prediction
ANLR is a robust and independent predictor of sepsis-related mortality, outperforming conventional biomarkers. Incorporating ANLR into routine clinical workflows could improve risk assessment and facilitate individualized treatment strategies for patients with severe sepsis. Further prospective studies are needed to validate these findings and explore potential therapeutic implications.
Authors
- Yuanshuo Ge (ORCID: https://orcid.org/0000-0003-0998-4870)
- Hu Ding (ORCID: https://orcid.org/0000-0002-1814-1552)
- Cheng Zhang (ORCID: https://orcid.org/0000-0001-7665-8675)
- Zhe Wang (ORCID: https://orcid.org/0000-0003-1032-2743)
Institutions
- General Hospital of Shenyang Military Region (CN)
- Jinzhou Medical University (CN)
Publication Details
- Journal
- BMC Infectious Diseases
- Published
- 2025-08-14
- DOI
- https://doi.org/10.1186/s12879-025-11429-w
- Citations
- 1
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.35