Development of Predictive Models for Progression from Diabetic Kidney Disease to End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Retrospective Cohort Study
The predictive model proved to be effective in assessing the progression of DKD to ESRD. Additionally, the combined model of KFRE, IFTA, SII, and BMI demonstrates high predictive performance. Future studies should validate these models in larger cohorts and explore their integration into routine clinical practice to enhance personalized risk assessment and management.
Authors
- Min Yang (ORCID: https://orcid.org/0000-0003-2444-4194)
- Xiaodie Mu (ORCID: https://orcid.org/0000-0003-0665-9319)
- Shuya Zhao
- Hua Zhou (ORCID: https://orcid.org/0000-0002-2718-4108)
- Huiyue Hu (ORCID: https://orcid.org/0000-0002-6930-6425)
Institutions
- Soochow University (CN)
Publication Details
- Journal
- Diabetes Metabolic Syndrome and Obesity
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/dmso.s500992
- Citations
- 3
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 4.29
Funders
- National Natural Science Foundation of China