Unraveling hypoglycemia risk during hemodialysis: a predictive model from a nested case-control study
Six key risk factors for hypoglycemia during HD were identified, and a predictive model integrating disease status, HD timing, and laboratory markers was developed. Early identification of high-risk patients may help prevent hypoglycemic events and improve HD outcomes. Future studies should externally validate and refine this model for broader clinical application.
Authors
- Jiacheng Li (ORCID: https://orcid.org/0000-0003-3730-3534)
- Jiao Sun
- Wei Li (ORCID: https://orcid.org/0000-0003-2133-2576)
- Qingchu Li (ORCID: https://orcid.org/0000-0003-2846-7166)
- Shiying Lv
- M. Ran
- Hongjing Zan
Institutions
- Shandong University of Traditional Chinese Medicine (CN)
- Shandong University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Fourth People’s Hospital of Jinan (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
- Qilu Hospital of Shandong University (CN)
Publication Details
- Journal
- Frontiers in Physiology
- Published
- 2025-11-10
- DOI
- https://doi.org/10.3389/fphys.2025.1660936
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China