Abstract: FR-PO0335
Subtyping CKD with Diabetes: Multicenter Cohort of Diabetic Kidney Disease Study
Session Information
- Diabetic Kidney Disease: Progression, Predictive Tools, Therapeutics, and Outcomes
November 07, 2025 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Diabetic Kidney Disease
- 702 Diabetic Kidney Disease: Clinical
Authors
- Lee, Jeong-Yeun, Kyung Hee University Medical Center, Dongdaemun-gu, Seoul, Korea (the Republic of)
- Hwang, Hyeon Seok, Kyung Hee University Medical Center, Dongdaemun-gu, Seoul, Korea (the Republic of)
- Yoon, Soo-Young, Kyung Hee University Medical Center, Dongdaemun-gu, Seoul, Korea (the Republic of)
- Kim, Jin Sug, Kyung Hee University Medical Center, Dongdaemun-gu, Seoul, Korea (the Republic of)
- Jeong, Kyunghwan, Kyung Hee University Medical Center, Dongdaemun-gu, Seoul, Korea (the Republic of)
Background
Chronic kidney disease (CKD) with diabetes is a heterogeneous condition with multiple underlying causes, risk factors, and polypharmacy, leading to a wide range of clinical outcomes. However, there is no classification system that appropriately captures the diversity of diabetic CKD, or predicts its outcomes.
Methods
A total of 11,925 CKD patients with diabetes were included from the Multicenter Cohort of Diabetic Kidney Disease Study (MEET DKD) between 2000 and 2023. Subtypes of diabetic CKD were identified using K-means clustering based on 34 factors, and their associations with clinical endpoints were evaluated for the composite outcome of cardiovascular diseases, progression to end-stage kidney disease (ESKD), and mortality.
Results
Three distinct diabetic CKD subgroups were identified as the most representative of the baseline characteristics. Cluster 1 (n = 5,191), obese type, included patients with a higher prevalence of obesity, fewer comorbidities, and favorable laboratory findings. Patients with lower renal function, and a moderate burden of comorbidities and medication were classified as cluster 2 (n = 2,240), renal failure type. Patients who were older, had multiple comorbidities and the highest use of medication formed cluster 3 (n = 4,494), multiple comorbidity type. The obesity type was associated with the highest risk of the future composite outcome of cardiovascular events (adjusted hazard ratio [HR] 1.40, 95% confidence interval [CI] 1.27–1.54). The risk of ESKD progression was highest in the renal failure subtype (HR 1.30, 95% CI 1.15–1.46), whereas all-cause mortality risk was greatest in the multiple comorbidity subtype (HR 1.45, 95% CI 1.44–1.46).
Conclusion
Our study identified three distinct diabetic CKD subtypes, which were associated with markedly different risks of cardiovascular events, progression to ESKD, and all-cause mortality. These subtypes potentiate the individualized approaches to improve clinical outcomes in diabetic CKD patients.