Diabetes, Metabolic Syndrome and Obesity (Jul 2021)

Relationship Between the TyG Index and Diabetic Kidney Disease in Patients with Type-2 Diabetes Mellitus

  • Lv L,
  • Zhou Y,
  • Chen X,
  • Gong L,
  • Wu J,
  • Luo W,
  • Shen Y,
  • Han S,
  • Hu J,
  • Wang Y,
  • Li Q,
  • Wang Z

Journal volume & issue
Vol. Volume 14
pp. 3299 – 3306

Abstract

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Liangjing Lv,1,* Yangmei Zhou,1,* Xiangjun Chen,1 Lilin Gong,1 Jinshan Wu,1 Wenjin Luo,1 Yan Shen,1 Shichao Han,2 Jinbo Hu,1 Yue Wang,1 Qifu Li,1 Zhihong Wang1 On behalf of the Chongqing Diabetes Registry Group1Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Department of Statistics, University of California, Berkeley, CA, USA*These authors contributed equally to this workCorrespondence: Zhihong WangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong District, Chongqing, People’s Republic of ChinaTel/Fax +86-023-89011552Email [email protected]: Diabetic kidney disease (DKD) lacks a simple and relatively accurate predictor. The Triglyceride–Glucose (TyG) Index is a proxy of insulin resistance, but the association between the TyG Index and DKD is less certain. We investigated if the TyG Index can predict DKD onset effectively.Materials and Methods: Cross-sectional and longitudinal analyses were undertaken. In total, 1432 type-2 diabetes mellitus (T2DM) patients were included in the cross-sectional analysis. The TyG Index (calculated by ln [fasting triglycerides (mg/dL) × fasting glucose (mg/dL)/2]) was split into three tertiles. Associations of the TyG Index with microalbuminuria and estimated glomerular filtration rate (eGFR) 30 mg/mL) over 3 months. Cox regression was used to analyze the association between the TyG Index at baseline and DKD. Receiver operating characteristics curve (ROC) analysis was used to assess the sensitivity and specificity of the TyG Index in predicting DKD.Results: In cross-sectional analysis, patients with a higher TyG Index had a higher risk of microalbuminuria (OR = 2.342, 95% CI = 1.744– 3.144, p < 0.001), and eGFR < 60 mL/min/1.73 m2 (1.696, 95% CI =1.096– 2.625, p = 0.018). Longitudinally, 94 of 424 participants developed DKD. After confounder adjustment, patients in the high tertile of the TyG Index at baseline had a greater risk to developing DKD than those in the low tertile (HR = 1.727, 95% CI = 1.042– 2.863, p = 0.034). The area under the ROC curve was 0.69 (0.63– 0.76).Conclusion: The TyG Index is a potential predictor for DKD in T2DM patients.Clinical Trial: Clinical Trials identification number = NCT03692884.Keywords: diabetic kidney disease, triglyceride–glucose index, insulin resistance

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