Diagnostic efficacy of remnant cholesterol inflammatory index in diabetic kidney disease: machine learning approaches
Our study suggested RCII was a novel and promising biomarker for DKD risk. Its integration into diagnostic models may enhance early identification and personalized prevention strategies for DKD, addressing a critical need in diabetes management.
Authors
- Feng Zhao (ORCID: https://orcid.org/0000-0001-8750-5340)
- Haifeng Li (ORCID: https://orcid.org/0000-0002-0983-033X)
- Jia Chen (ORCID: https://orcid.org/0000-0001-6597-8577)
- Xueyu Li (ORCID: https://orcid.org/0009-0000-1027-5647)
- X.J. Xie (ORCID: https://orcid.org/0009-0004-9479-133X)
Institutions
- Shenyang Center for Disease Control and Prevention (CN)
- General Hospital of Shenyang Military Region (CN)
Publication Details
- Journal
- Frontiers in Nutrition
- Published
- 2025-11-25
- DOI
- https://doi.org/10.3389/fnut.2025.1642358
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00