Quantitative assessment of metabolic memory and its prediction of renal function decline in patients with type 2 diabetes: A retrospective observational study
We developed an AUC<sub>HbA1c ≥ 6 %</sub>-based model to predict renal function decline in patients with T2D, showing that AUC<sub>HbA1c ≥ 6 %</sub> may serve as a quantitative indicator of metabolic memory.
Authors
- Ayami Kajiwara‐Morita
- Junji Saruwatari (ORCID: https://orcid.org/0000-0001-6266-1347)
- Takuro Shigaki
- Kentaro Oniki (ORCID: https://orcid.org/0000-0002-5926-7151)
- Keiichi Shigetome
- Hideaki Jinnouchi (ORCID: https://orcid.org/0000-0001-7530-2298)
- Akira Yoshida (ORCID: https://orcid.org/0000-0003-0280-9674)
Institutions
- Kumamoto University Hospital (JP)
- Kumamoto University (JP)
Publication Details
- Journal
- Diabetes & Metabolic Syndrome Clinical Research & Reviews
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1016/j.dsx.2025.103225
- Citations
- 2
- Primary Topic
- Diet and metabolism studies
- Type
- article
- Field-Weighted Citation Impact
- 2.33
Funders
- Smoking Research Foundation
- Japan Society for the Promotion of Science