ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Renal Endocrinology
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1567789
This article is part of the Research TopicIs Insulin Resistance the Eminence Grise of Aging and Non-Communicable Chronic Diseases?View all 7 articles
The risk of hyperuricemia assessed by estimated glucose disposal rate
Provisionally accepted
- 1First People's Hospital of Kunshan, Kunshan, Jiangsu, China
- 2First Affiliated Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China
- 3Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China
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The estimated glucose disposal rate (eGDR) is a simple and noninvasive clinical measure used to assess insulin resistance (IR), yet its potential utility as a marker for hyperuricemia risk had not been systematically evaluated. This study aimed to investigate the relationship between eGDR and hyperuricemia risk among American adults.Methods: Data for this cross-sectional study were obtained from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). Hyperuricemia was identified as a serum urate (SU) concentration of ≥7 mg/dL in males and ≥6 mg/dL in females. The relationship between eGDR and hyperuricemia risk was assessed using multivariate logistic regression and restricted cubic spline (RCS) methods, with additional subgroup and interaction analyses performed.With increasing eGDR values, the prevalence of hyperuricemia decreased significantly (29.93% vs. 19.11% vs. 13.20% vs. 5.03%, P<0.001). Multivariate logistic regression indicated that eGDR was independently associated with the risk of hyperuricemia after controlling for covariates including demographic, lifestyle, and clinical factors (OR=0.93, 95%CI: 0.90-0.96, P<0.001). RCS analysis further revealed a nonlinear relationship, with a turning point at eGDR 7.96 mg/kg/min. Subgroup analysis revealed a stronger inverse association between eGDR and hyperuricemia risk in females.The eGDR is inversely associated with hyperuricemia and appears to be a promising epidemiological tool for evaluating the impact of IR on the risk of hyperuricemia.
Keywords: Hyperuricemia, Insulin Resistance, Estimated glucose disposal rate, NHANES, Population-based Study
Received: 28 Jan 2025; Accepted: 02 Jun 2025.
Copyright: © 2025 Wang, Liu, Tang and Shen. 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: Yirong Shen, Hangzhou Hospital of Traditional Chinese Medicine, Hangzhou, China
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