Analysis of risk factors and development of a predictive model for significant serum creatinine elevation in patients administered SGLT2 inhibitor in a real-world clinical setting in China
This study developed a reliable predictive model, highlighting key risk factors. The model can assist clinicians in early identification and monitoring of patients at risk, potentially reducing adverse renal outcomes and hospital stays. Further prospective studies are needed to validate and refine the model.
Authors
- Qing Xu (ORCID: https://orcid.org/0000-0002-0387-7559)
- Xi‐Wen Du (ORCID: https://orcid.org/0000-0002-2811-147X)
- Gang Chen (ORCID: https://orcid.org/0000-0002-7188-083X)
- Yixun Shi
- Xiaoli Du (ORCID: https://orcid.org/0000-0003-0308-6279)
- Rui Dai (ORCID: https://orcid.org/0009-0008-2257-5039)
- Hao Xie (ORCID: https://orcid.org/0000-0003-1059-049X)
- Bin Zhao (ORCID: https://orcid.org/0009-0008-5508-886X)
Institutions
- Tianjin University of Traditional Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
Publication Details
- Journal
- Expert Opinion on Drug Safety
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1080/14740338.2025.2569123
- Primary Topic
- Diabetes Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00