Abstract

Triglyceride–glucose (TyG) index has been proposed to be a simple, economical, and reliable marker of insulin resistance. We aimed to investigate whether TyG is an independent predictor of hyperuricemia in diabetic kidney disease (DKD) populations by conducting a cross-sectional and longitudinal study. A total of 6,471 patients were enrolled in cross-sectional analysis, and 3,634 patients without hyperuricemia at the baseline were included in longitudinal analysis and were followed up for a median of 23.0 months. Hyperuricemia was categorized as a serum uric acid level ≥ 420 umol/L (7 mg/dL). In this study, 19.58% of participants had hyperuricemia. In the cross-sectional analysis, multivariate logistics regression analysis showed that the ORs (95% CI) for hyperuricemia in the second, third, and fourth TyG quartiles were 1.40 (95% CI 0.73–2.65), 1.69 (95% CI 0.90–3.18), and 4.53 (95% CI 2.39–8.57), respectively, compared with the first quartile. Longitudinally, the Kaplan–Meier survival analysis showed that higher TyG levels predicted higher incidence of hyperuricemia. Multivariate Cox regression model revealed that the hazard ratios for hyperuricemia in the upper quartiles of the TyG index were 1.69 (95% CI 0.97–2.93), 2.23 (95% CI 1.33–3.75), and 2.50 (95% CI 1.46–4.27), respectively, compared with the first quartile. Moreover, the subgroup analyses revealed that the relationship between TyG levels and hyperuricemia was robust in DKD patients. Our findings indicate a significant independent correlation between the TyG index and the risk of hyperuricemia in DKD patients.

Details

Title
Triglyceride-glucose index is significantly associated with the risk of hyperuricemia in patients with diabetic kidney disease
Author
Li, Qiuhong 1 ; Shao, Xian 1 ; Zhou, Saijun 1 ; Cui, Zhuang 2 ; Liu, Hongyan 1 ; Wang, Tongdan 1 ; Fan, Xiaoguang 3 ; Yu, Pei 1   VIAFID ORCID Logo 

 Tianjin Medical University, NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228); Tianjin Medical University, Tianjin Key Laboratory of Metabolic Diseases, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228) 
 Tianjin Medical University, Department of Epidemiology and Health Statistics, Tianjin, China (GRID:grid.265021.2) (ISNI:0000 0000 9792 1228) 
 Central China Fuwai Hospital of Zhengzhou University, Department of Nephrology, Henan Provincial People’s Hospital, Department of Nephrology of Central China Fuwai Hospital, Zhengzhou Henan, China (GRID:grid.207374.5) (ISNI:0000 0001 2189 3846) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2738317433
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.