Eirini Dikaiakou1, Elpis Athina Vlachopapadopoulou2, Stavroula A Paschou3, Fani Athanasouli1, Ιoannis Panagiotopoulos1, Maria Kafetzi4, Aspasia Fotinou4, Stephanos Michalacos1. 1. Department of Endocrinology, Growth and Development, "P. & A. Kyriakou" Children's Hospital, Athens, Greece. 2. Department of Endocrinology, Growth and Development, "P. & A. Kyriakou" Children's Hospital, Athens, Greece. elpis.vl@gmail.com. 3. Division of Endocrinology and Diabetes, "Aghia Sophia" Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece. 4. Department of Biochemistry, "P. & A. Kyriakou" Children's Hospital, Athens, Greece.
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. 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. 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. CONCLUSIONS: TyG index shows a positive correlation with insulin resistance among children and adolescents, however further studies are needed to clarify its predictive ability.
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 obesechildren and adolescents, in order to assess whether it could be used as a predictor of insulin resistance. 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. 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. CONCLUSIONS:TyG index shows a positive correlation with insulin resistance among children and adolescents, however further studies are needed to clarify its predictive ability.
Authors: C Irace; C Carallo; F B Scavelli; M S De Franceschi; T Esposito; C Tripolino; A Gnasso Journal: Int J Clin Pract Date: 2013-07 Impact factor: 2.503
Authors: Fernando Guerrero-Romero; Luis E Simental-Mendía; Manuel González-Ortiz; Esperanza Martínez-Abundis; María G Ramos-Zavala; Sandra O Hernández-González; Omar Jacques-Camarena; Martha Rodríguez-Morán Journal: J Clin Endocrinol Metab Date: 2010-05-19 Impact factor: 5.958
Authors: Roya Kelishadi; Stephen R Cook; Mohammad Esmaeil Motlagh; Mohammad Mehdi Gouya; Gelayol Ardalan; Molouk Motaghian; Reza Majdzadeh; Mohammad A Ramezani Journal: J Am Diet Assoc Date: 2008-01
Authors: Luis E Simental-Mendía; Gabriela Hernández-Ronquillo; Rita Gómez-Díaz; Martha Rodríguez-Morán; Fernando Guerrero-Romero Journal: Pediatr Res Date: 2017-08-30 Impact factor: 3.756
Authors: Dennis M Styne; Silva A Arslanian; Ellen L Connor; Ismaa Sadaf Farooqi; M Hassan Murad; Janet H Silverstein; Jack A Yanovski Journal: J Clin Endocrinol Metab Date: 2017-03-01 Impact factor: 5.958
Authors: María Claudia Espinel-Bermúdez; José Antonio Robles-Cervantes; Liliana del Sagrario Villarreal-Hernández; Juan Pablo Villaseñor-Romero; Sandra Ofelia Hernández-González; Manuel González-Ortiz; Esperanza Martínez-Abundis; Karina Griselda Pérez-Rubio Journal: J Investig Med Date: 2015-02 Impact factor: 2.895