Stratifying metabolic-related risk factors using latent class analysis to explore the risk of renal composite endpoints in patients with type 2 diabetes mellitus and associated chronic kidney disease
This study highlights the utility of comprehensive metabolic profiling through LCA for stratifying CKD patients with T2DM, identifying two distinct subgroups with differential renal prognoses, and offering insights for precision nephrology interventions and personalized risk management.
Authors
- Yaxi Zhu (ORCID: https://orcid.org/0000-0003-0709-1374)
- Runli Jia
- Hanchen Hou
- Danfeng Liu
- XIAOJIE CHEN
- Wenjian Wang
- Weiting He
- Xuan Zhao
- Qijun Wan
Institutions
- Guangdong Academy of Medical Sciences (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Endocrinology
- Published
- 2026-01-05
- DOI
- https://doi.org/10.3389/fendo.2025.1599024
- Primary Topic
- Chronic Kidney Disease and Diabetes
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Sanming Project of Medicine in Shenzhen