Triglyceride glucose index is superior biomarker for predicting type 2 diabetes mellitus in children and adolescents
- Authors
- Yoon, Jong Seo; Lee, Hye Jin; Jeong, Hwal Rim; Shim, Young Suk; Kang, Min Jae; Hwang, Il Tae
- Issue Date
- May-2022
- Publisher
- Japan Endocrine Sociey/Nihon Naibunpi Gakkai
- Keywords
- Triglyceride glucose index; Insulin resistance; Type 2 diabetes mellitus; Surrogate marker
- Citation
- Endocrine Journal, v.69, no.5, pp 559 - 565
- Pages
- 7
- Journal Title
- Endocrine Journal
- Volume
- 69
- Number
- 5
- Start Page
- 559
- End Page
- 565
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21073
- ISSN
- 0918-8959
1348-4540
- Abstract
- The triglyceride-glucose (TyG) index is associated with predicting type 2 diabetes mellitus (T2DM), but its relationship with homeostatic model assessment of insulin resistance (HOMA-IR) in T2DM is not established. We aimed to investigate the role of TyG index for detection of T2DM in children and adolescents and compare it with HOMA-IR. A cross sectional study was performed in 176 overweight or obese children and adolescents with mean age of 11.34 +/- 3.24 years. TyG index was calculated as In (fasting triglyceride (TG) [mg/dL] x fasting glucose [mg/dL]/2). Of a total of 176 subjects, 57 (32%) were diagnosed with T2DM. Significant differences were observed in the TyG index between T2DM and non-T2DM (p < 0.001). The TyG index had a positive correlation with fasting glucose (r= 0.519, p < 0.001), HOMA-IR (r= 0.189, p < 0.017), HbA1c (r = 0.429, p < 0.001), total cholesterol (TC) (r = 0.257, p = 0.001), TG (r = 0.759, p < 0.001), and low-density lipoprotein cholesterol (LDL-C)(r = 0.152, p < 0.001), and a negative correlation with high-density lipoprotein cholesterol (HDL-C)(r = 0.107, p < 0.001) after controlling for sex, age and BMI standard deviation scores (SDS). In multiple regression analyses, 91.8% of the variance in TyG index was explained by age, glucose, HOMA-IR, TG, LDL-C, and HDL-C (p < 0.001). In the receiver operating characteristic (ROC) analysis, the TyG index [area under the curve (AUC) 0.839)] showed a better performance compared to HOMA-IR (AUC 0.645) in identifying patients with T2DM (p < 0.001). In conclusion, the TyG index had significant association with insulin resistance in T2DM and was superior to HOMA-IR in predicting T2DM in children and adolescents.
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