ArticleBMC endocrine disorders2025
Serum uric acid mediates the association between the estimated glucose disposal rate and chronic kidney disease in patients with diabetes or prediabetes: an analysis from NHANES 2005-2018.
Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Associations of Dietary Decanoic Acid Intake With Cognitive Function in the Elderly and the Mediating Effects of Hypertension and Diabetes: An Analysis From NHANES 2011-2014.Brain and behavior · 2026Article
- Association of cholesterol, high-density lipoprotein and glucose (CHG) index with mortality risk in metabolic dysfunction-associated steatotic liver disease (MASLD) adults: results from two prospective cohorts.Cardiovascular diabetology · 2026Article
- Metabolic Endotypes for Dialysis Risk Stratification in Chronic Kidney Disease Stages G2-G4: A Pragmatic Cluster Analysis Using Routine Laboratory Tests.International journal of general medicine · 2026Article
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Abstract
backgroundThe estimated glucose disposal rate (eGDR), a novel composite indicator for assessing insulin resistance (IR), remains underexplored for its ability to predict the risk of chronic kidney disease (CKD) in individuals with diabetes or prediabetes.
methodA total of 17,595 patients with diabetes or prediabetes from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018 were included. CKD is defined based on the estimated glomerular filtration rate and the urine albumin-to-creatinine ratio. The calculation of eGDR is based on the waist circumference, hypertension status and glycated hemoglobin. Multivariable logistic regression was used to evaluate the association between eGDR and CKD. Restricted cubic spline (RCS) regression was used to assess dose-response relationships. Subgroup analysis explores the differences in effects among different populations. Mediating analysis was used to quantify the role of serum uric acid (SUA) in the eGDR-CKD association. Receiver operating characteristic curve (ROC) curves were used to compare the predictive performance of eGDR with that of other IR indices.
resultsAfter full adjustment, the eGDR showed a significant inverse association with CKD risk. The RCS curves confirmed a linear negative relationship between eGDR and CKD. Subgroup analysis revealed stronger associations in men. Mediation analysis indicated that SUA partially mediated the eGDR-CKD association, accounting for 6.2% of the total effect. ROC analysis revealed that the eGDR shad a moderate predictive ability for CKD in patients with diabetes or prediabetes.
conclusionThis cross-sectional study confirmed that the eGDR is linearly negatively correlated with CKD in a population with diabetes or prediabetes and that its discriminative power is moderate but superior to that of traditional IR indicators. The statistical overlap of SUA on the total association was approximately 6.2%, but the mediating effect was fragile. This finding should be verified in prospective cohorts in the future.
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