ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Renal Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1507735
Title：Association of Estimated Glucose Disposal Rate with Chronic Kidney Disease: Comparative Analysis Against Traditional Insulin Resistance Indices
Provisionally accepted
- 1Department of Endocrinology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
- 2The Core Laboratory,Nanjing BenQ Medical center, The Affiliated BenQ Hospital of Nanjing Medical University, Nanjing, China
- 3Department of Endocrinology, Jiangnan University Medical Center, Wuxi No.2 People's Hospital, Nanjing, China
- 4Department of Endocrinology, Affiliated Wuxi Clinical College of Nantong University, Nanjing, China
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Background: Chronic kidney disease (CKD) is a widespread condition with significant morbidity and mortality, especially among individuals with diabetes and hypertension. While insulin resistance (IR) is linked to CKD, traditional IR assessment methods have limitations. This necessitates alternative indicators that better reflect the IR–CKD relationship.Methods: This cross-sectional study used data from the 2013–2018 National Health and Nutrition Examination Survey (NHANES), including 7,423 participants. Demographic, anthropometric, and laboratory data were analyzed. The estimated glucose disposal rate (eGDR), along with HOMA-IR, QUICKI, TyG, TyG-BMI, and TyG-WC indices, were calculated. Relationships between these indices and CKD indicators—eGFR and UACR—were examined using linear and logistic regression. Predictive performance was evaluated via receiver operating characteristic (ROC) curve analysis.Results: Higher eGDR levels were significantly associated with better kidney function and lower prevalence of CKD and albuminuria. eGDR had stronger correlations with eGFR (R²=0.1379) and UACR (R²=0.0816) than traditional IR indices. eGDR also declined progressively with worsening CKD stages (p for trend < 0.001). Logistic regression showed that higher eGDR reduced the risk of CKD and albuminuria. ROC analysis demonstrated eGDR had the highest predictive accuracy for CKD (AUC = 0.75) and proteinuria (AUC = 0.68).Conclusion: eGDR is a reliable, practical marker of IR associated with CKD indicators. Its stronger association and simplicity make it a valuable tool for early CKD detection and risk management.
Keywords: ： eGDR, HOMA-IR, QUICKI, TyG, TyG-BMI, TyG-WC, EGFR, UACR
Received: 08 Oct 2024; Accepted: 06 Jun 2025.
Copyright: © 2025 Liu, Liu, Jiang, Cui and Tang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Siyuan Cui, Department of Endocrinology, Jiangnan University Medical Center, Wuxi No.2 People's Hospital, Nanjing, China
Wei Tang, Department of Endocrinology, Geriatric Hospital of Nanjing Medical University, Nanjing, China
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