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Τriglycerides-glucose (TyG) index is a sensitive marker of insulin resistance in Greek children and adolescents.

Authors :
Dikaiakou E
Vlachopapadopoulou EA
Paschou SA
Athanasouli F
Panagiotopoulos Ι
Kafetzi M
Fotinou A
Michalacos S
Source :
Endocrine [Endocrine] 2020 Oct; Vol. 70 (1), pp. 58-64. Date of Electronic Publication: 2020 Jun 16.
Publication Year :
2020

Abstract

Purpose: To investigate the association between Triglyceride-glucose (TyG) index and the Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) and Matsuda indices in Greek obese children and adolescents, in order to assess whether it could be used as a predictor of insulin resistance.<br />Methods: 367 children (47.7% boys) with mean age of 9.9 ± 2.3 years, who were investigated for obesity, were included. After overnight fasting, TyG and HOMA-IR indices were calculated in all participants. In a subpopulation of 72 children Matsuda index was also calculated.<br />Results: 48.8% and 36.1% of the participants had insulin resistance according to HOMA-IR and Matsuda index respectively. TyG was significantly and positively correlated with BMI, ΗΟΜΑ-IR, lipid profile and Matsuda index. ROC curve analysis for TyG showed that the optimal cutoff value for the prediction of insulin resistance (HOMA-IR) was 7.96 with sensitivity 65% and specificity 58%. The area under the curve (AUC) was 0.65 which significantly differs from 0.5 (p < 0.001). Similarly, the optimal cutoff value of TyG index for predicting insulin resistance as evidenced by Matsuda was 7.91 with sensitivity 85% and specificity 61%. The AUC was 0.75 (p < 0.001). The odds for insulin resistance (with HOMA-IR) was 2.54 times greater for subjects with TyG higher than 7.96, while the odds for insulin resistance (with Matsuda) was 8.56 times greater for subjects with TyG more than 7.91.<br />Conclusions: TyG index shows a positive correlation with insulin resistance among children and adolescents, however further studies are needed to clarify its predictive ability.

Details

Language :
English
ISSN :
1559-0100
Volume :
70
Issue :
1
Database :
MEDLINE
Journal :
Endocrine
Publication Type :
Academic Journal
Accession number :
32557329
Full Text :
https://doi.org/10.1007/s12020-020-02374-6