Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery
In patients undergoing cardiac surgery, higher postoperative SHR index levels were significantly associated with increased risk of in-hospital, 90-day and 360-day all-cause mortality. The SHR index may serve as a valid tool for assessing the severity after cardiac surgery and guiding treatment decisions.
Authors
- Feng Yao (ORCID: https://orcid.org/0000-0002-9635-9581)
- Yajun Ma (ORCID: https://orcid.org/0000-0002-8324-3571)
- Ying Xiang (ORCID: https://orcid.org/0000-0001-6727-9999)
- Guitao Zhang (ORCID: https://orcid.org/0000-0003-0337-705X)
- Yingjian Pei (ORCID: https://orcid.org/0009-0008-0648-0013)
- Wenbo Li (ORCID: https://orcid.org/0000-0003-2407-1017)
- Shujuan Li (ORCID: https://orcid.org/0000-0003-4740-9615)
- Yinghua Zhou
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fu Wai Hospital (CN)
Publication Details
- Journal
- Cardiovascular Diabetology
- Published
- 2025-02-15
- DOI
- https://doi.org/10.1186/s12933-025-02644-5
- Citations
- 19
- Primary Topic
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Type
- article
- Field-Weighted Citation Impact
- 24.60
Funders
- Chinese Academy of Medical Sciences
- National Science and Technology Major Project
- Fundamental Research Funds for the Central Universities
- National Major Science and Technology Projects of China