Association between triglyceride-glucose index and nonalcoholic fatty liver disease in type 2 diabetes mellitus.

Wei Li, Yan Wang, Feng He, Zhuo Liu, Jie Dong, Yuqi Zhang, Tianfang Li, Shengyun Liu, En Chen
Author Information
  1. Wei Li: Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
  2. Yan Wang: Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
  3. Feng He: Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China.
  4. Zhuo Liu: Department of Biochemistry and Immunology, Capital Institute of Pediatrics, NO. 2, Yabao Road, Chaoyang District, 100020, Beijing, China.
  5. Jie Dong: Pediatrics Research Institute of Hunan Province, Hunan Children's Hospital, Changsha, China.
  6. Yuqi Zhang: Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
  7. Tianfang Li: Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China.
  8. Shengyun Liu: Department of Rheumatology, The First Affiliated Hospital of Zhengzhou University, NO. 1, Jianshe East Road, 450052, Zhengzhou, Henan Province, China. fccliusy2@zzu.edu.cn.
  9. En Chen: Department of Laboratory Medicine, The First Affiliated Hospital, Hengyang Medical School, University of South China, 421001, Hengyang, Hunan Province, China. cheneng3821@sina.com.

Abstract

BACKGROUND: Lipid and glucose metabolism abnormalities are associated with nonalcoholic fatty liver disease (NAFLD). The triglyceride-glucose (TyG) index is a recently developed indicator that can identify individuals at risk for NAFLD. However, the applicability of the TyG index for identifying NAFLD in patients with type 2 diabetes mellitus (T2DM) is unclear. The aim of this study was to investigate the ability of the TyG index to identify individuals at risk for NAFLD in the T2DM population.
METHODS: A total of 2280 participants with T2DM were recruited in this cross-sectional study. The TyG index was calculated, and NAFLD was diagnosed by ultrasonography. Binary logistic regression models were used to evaluate the association of the TyG index, glycemic parameters and lipid parameters with NAFLD.
RESULTS: Logistic regression analysis showed that the TyG index was significantly associated with NAFLD in subjects with T2DM, the odds ratio (OR) were 3.27 (95% confidence interval [CI], 2.03-5.27; P < 0.001) for NAFLD in the highest TyG quartile after adjustment for known confounders. In stratified analysis, an elevated TyG index were more remarkably associated with NAFLD in younger patients (< 65 years; OR, 2.35; 95% CI, 1.83-3.02; P < 0.001), females (OR, 2.69; 95% CI, 1.67-4.32; P < 0.001), patients with BMI < 25 kg/m (OR, 2.80; 95% CI, 2.01-3.91; P < 0.0001), and with lower high-density lipoprotein cholesterol (< 1 mmol/L; OR, 2.76; 95% CI, 1.98-3.83; P < 0.001).
CONCLUSION: The TyG index is significantly associated with NAFLD and shows superior ability for identify NAFLD risk compared with other lipid and glycemic parameters in T2DM.

Keywords

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Grants

  1. 82000831/National Natural Science Foundation of China

MeSH Term

Female
Humans
Triglycerides
Non-alcoholic Fatty Liver Disease
Diabetes Mellitus, Type 2
Glucose
Cross-Sectional Studies
Blood Glucose
Cholesterol, HDL
Risk Factors

Chemicals

Triglycerides
Glucose
Blood Glucose
Cholesterol, HDL

Word Cloud

Created with Highcharts 10.0.0NAFLDTyGindex2T2DMparametersOR95%P < 0associated001CIidentifyriskpatients1Lipidnonalcoholicfattyliverdiseasetriglyceride-glucoseindividualstypediabetesmellitusstudyabilityregressionglycemiclipidanalysissignificantly27BACKGROUND:glucosemetabolismabnormalitiesrecentlydevelopedindicatorcanHoweverapplicabilityidentifyingunclearaiminvestigatepopulationMETHODS:total2280participantsrecruitedcross-sectionalcalculateddiagnosedultrasonographyBinarylogisticmodelsusedevaluateassociationRESULTS:Logisticshowedsubjectsoddsratio3confidenceinterval[CI]03-5highestquartileadjustmentknownconfoundersstratifiedelevatedremarkablyyounger< 65years3583-302females6967-432BMI < 25 kg/m8001-3910001lowerhigh-densitylipoproteincholesterol< 1mmol/L7698-383CONCLUSION:showssuperiorcomparedAssociationBMIGlycemic

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