Remnant cholesterol for diabetic kidney disease risk stratification in type 2 diabetes: a machine learning-based prevention tool
RC was independently and nonlinearly associated with DKD risk in T2D. The RSF model demonstrated good predictive performance and may assist individualized risk assessment and management.
Authors
- Yongjun Ma (ORCID: https://orcid.org/0000-0001-9165-7371)
- Yujie Yu (ORCID: https://orcid.org/0000-0002-1732-4023)
- Yuehong Dai
- Qi Pan (ORCID: https://orcid.org/0000-0001-8542-0925)
- Huabin Wang (ORCID: https://orcid.org/0000-0002-9090-7380)
- Guangming Chen
Institutions
- University of Nottingham Ningbo China (CN)
- Wenzhou Medical University (CN)
- Jinhua Academy of Agricultural Sciences (CN)
- Guang Fu Hospital (CN)
- Jinhua Central Hospital (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3389/fnut.2025.1697943
- Citations
- 1
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Zhejiang University
- Jinhua Science and Technology Bureau