Joint impact of stress hyperglycaemic ratio and glycaemic variability in patients with ischaemic stroke and machine learning for mortality prediction
The combination of SHR and GV is promising to facilitate early identifying IS critically ill patients at high-risk of mortality.
Authors
- Yang Chen (ORCID: https://orcid.org/0000-0002-2808-6286)
- Linting Gu
- Chen Sheng (ORCID: https://orcid.org/0000-0002-0192-3830)
- Zhenkun Yang (ORCID: https://orcid.org/0000-0001-5763-7748)
- Ziyi Zhong (ORCID: https://orcid.org/0000-0003-3344-2019)
- Yang Liu (ORCID: https://orcid.org/0000-0002-1053-8205)
Institutions
- Nanchang University (CN)
- University of Liverpool (GB)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- China-Japan Friendship Hospital (CN)
- Liverpool Heart and Chest Hospital (GB)
- Shanghai Public Health Clinical Center (CN)
Publication Details
- Journal
- BMC Neurology
- Published
- 2025-11-25
- DOI
- https://doi.org/10.1186/s12883-025-04510-z
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00