Literature DB >> 30892125

Estimate of reduced glomerular filtration rate by triglyceride-glucose index: insights from a general Chinese population.

Wenrui Shi1, Shuang Liu2, Li Jing3, Yuanmeng Tian3, Liying Xing1,3.   

Abstract

Objectives: Recent studies have identified triglyceride-glucose index (TyG) as a surrogate of insulin resistance. Since insulin resistance correlates with renal damage, our study aims to investigate the impact of TyG on the risk of reduced eGFR and explore its value to improve the risk stratification and prevention of reduced eGFR.
Methods: This cross-sectional study included 6466 participants (mean age:59.57 years, 60.2% females) from rural areas of northeast China between September 2017 to May 2018. TyG was calculated as ln[fasting triglyceride (mg/dL)×fasting plasma glucose (mg/dL)/2]. Reduced eGFR was defined as eGFR<60ml/min per 1.73m2.
Results: The prevalence of reduced eGFR was 2.94%. After full adjustment, each SD increase of TyG caused 42.6% additional risk for reduced eGFR. When dividing TyG into quartiles, the top quartile had a 1.934 times risk than the bottom quartile. Furthermore, the risk of reduced eGFR increased linearly with the increment of TyG. Subgroup analysis also revealed the association was robust to several risk factors of renal damage. Finally, category-free net reclassification index (0.204, 95% CI: 0.060-0.349, p = 0.005) and integrated discrimination index (0.010, 95% CI: 0.005-0.016, p < 0.001) demonstrated the value of TyG to refine the risk stratification of reduced eGFR.
Conclusion: Our work reveals the robust association between TyG and reduced eGFR. Moreover, the present study implicates the potential role of TyG as a risk indicator to optimize the prevention of reduced eGFR. Lastly, the findings also suggest the importance of simultaneous glycemic and lipid control to avoid the development and progression of reduced eGFR.

Entities:  

Keywords:  Dyslipidemia; hyperglycemia; insulin resistance; reduced eGFR; triglyceride-glucose index

Mesh:

Substances:

Year:  2019        PMID: 30892125     DOI: 10.1080/00325481.2019.1595983

Source DB:  PubMed          Journal:  Postgrad Med        ISSN: 0032-5481            Impact factor:   3.840


  5 in total

1.  Comparison of Novel Metabolic Indices in Estimation of Chronic Kidney Diseases in a Southern Chinese Population.

Authors:  Tong Chen; Xuan Wang; Xin Wang; Haishan Chen; Hua Xiao; Hongjuan Tang; Ling Feng; Zhicong Xiang; Hequn Zou; Xiaofei Shao
Journal:  Diabetes Metab Syndr Obes       Date:  2020-12-10       Impact factor: 3.168

2.  High triglyceride-glucose index in young adulthood is associated with incident cardiovascular disease and mortality in later life: insight from the CARDIA study.

Authors:  Xinghao Xu; Rihua Huang; Yifen Lin; Yue Guo; Zhenyu Xiong; Xiangbin Zhong; Xiaomin Ye; Miaohong Li; Xiaodong Zhuang; Xinxue Liao
Journal:  Cardiovasc Diabetol       Date:  2022-08-12       Impact factor: 8.949

3.  Triglyceride-Glucose Index May Predict Renal Survival in Patients with IgA Nephropathy.

Authors:  Aiya Qin; Jiaxing Tan; Siqing Wang; Lingqiu Dong; Zheng Jiang; Dandan Yang; Huan Zhou; Xiaoyuan Zhou; Yi Tang; Wei Qin
Journal:  J Clin Med       Date:  2022-09-01       Impact factor: 4.964

4.  Elevated TyG Index Predicts Incidence of Contrast-Induced Nephropathy: A Retrospective Cohort Study in NSTE-ACS Patients Implanted With DESs.

Authors:  Mingkang Li; Linqing Li; Yuhan Qin; Erfei Luo; Dong Wang; Yong Qiao; Chengchun Tang; Gaoliang Yan
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-22       Impact factor: 5.555

5.  Triglyceride-Glucose Index as a Surrogate Marker of Insulin Resistance for Predicting Cardiovascular Outcomes in Nondiabetic Patients with Non-ST-Segment Elevation Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.

Authors:  Qi Zhao; Ting-Yu Zhang; Yu-Jing Cheng; Yue Ma; Ying-Kai Xu; Jia-Qi Yang; Yu-Jie Zhou
Journal:  J Atheroscler Thromb       Date:  2020-11-13       Impact factor: 4.928

  5 in total

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