Simultaneous assessment of stress hyperglycemia ratio and glucose variability to predict all-cause mortality in sepsis patients across different glucose metabolic states: an observational cohort study with interpretable machine learning approach
The combined assessment of SHR and GV may provide useful information for predicting mortality in sepsis patients - particularly among individuals with NGR and Pre-DM. This integrated approach highlights the potential need for personalized glycemic management strategies, which warrants further investigation in prospective studies.
Authors
- Xiaoyan Zhu (ORCID: https://orcid.org/0000-0002-1078-4123)
- Rongyao Hou
- Yu Guo (ORCID: https://orcid.org/0009-0001-3595-9970)
- Lina Sui (ORCID: https://orcid.org/0000-0002-1663-3617)
- Fuxu Wang (ORCID: https://orcid.org/0000-0002-3365-4428)
- Zhi Mao (ORCID: https://orcid.org/0000-0001-6168-8732)
- Chucheng Jiao
- Shuangmei Zhao (ORCID: https://orcid.org/0000-0002-2562-3760)
- Ruogu Lu
Institutions
- Qingdao University (CN)
- Chinese PLA General Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
Publication Details
- Journal
- International Journal of Surgery
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1097/js9.0000000000003525
- Citations
- 2
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.71