Exploring the impact of high rosuvastatin plasma exposure on new-onset diabetes mellitus: insights from machine learning-based prediction
The study findings revealed high plasma exposure of RST as an independent risk factor for NODM in patients without diabetes who are on RST, which may relate to "on-target" effects of RST. In addition, ML interpreted using SHAP provide valuable tools for early prediction and personalized management of RST-induced NODM.
Authors
- Xingzhen Long
- Mei Qian
- Shilong Zhong (ORCID: https://orcid.org/0000-0002-2696-7696)
- Changcheng Sheng (ORCID: https://orcid.org/0000-0001-5844-0154)
- Cailin Tang
- Baolin Chen (ORCID: https://orcid.org/0000-0002-3686-1625)
- Fang Song (ORCID: https://orcid.org/0000-0002-4893-0368)
- Xue Bai (ORCID: https://orcid.org/0000-0002-2342-0812)
- Fanyan Meng (ORCID: https://orcid.org/0000-0003-1187-7644)
- Qi Chen (ORCID: https://orcid.org/0000-0002-8118-909X)
- Li Li (ORCID: https://orcid.org/0000-0001-8591-0676)
- Yu Chen (ORCID: https://orcid.org/0000-0003-2003-5705)
- Jue Liu (ORCID: https://orcid.org/0000-0002-2192-9519)
- Shihan Zhao (ORCID: https://orcid.org/0009-0003-1344-5260)
- Zhuoqi Ge
Institutions
- Guiyang Medical University (CN)
- Guizhou University (CN)
- Anshun University (CN)
- Shanghai Children's Medical Center (CN)
- Affiliated Hospital of Guizhou Medical University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Guizhou Provincial People's Hospital (CN)
- Shanghai Children's Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1186/s40001-025-03029-w
- Primary Topic
- Lipoproteins and Cardiovascular Health
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Chinese Pharmaceutical Association
- University of Electronic Science and Technology of China
- Servier