The Ability of the Triglyceride-Glucose (TyG) Index and Modified TyG Indexes to Predict the Presence of Metabolic-Associated Fatty Liver Disease and Metabolic Syndrome in a Pediatric Population with Obesity
- PMID: 40217790
- PMCID: PMC11989838
- DOI: 10.3390/jcm14072341
The Ability of the Triglyceride-Glucose (TyG) Index and Modified TyG Indexes to Predict the Presence of Metabolic-Associated Fatty Liver Disease and Metabolic Syndrome in a Pediatric Population with Obesity
Abstract
Background: Metabolic-associated fatty liver disease (MASLD) and metabolic syndrome (MetS) are increasingly prevalent among children and adolescents with obesity, posing significant long-term metabolic and cardiovascular risks. Non-invasive identification of at-risk individuals is crucial for a timely intervention. This study aimed to evaluate the diagnostic performance of the triglyceride-glucose (TyG) index and its modified versions, TyG-body mass index (TyG-BMI) and TyG-waist circumference (TyG-WC), in predicting MASLD and MetS in a large cohort of children and adolescents with obesity. Methods: A total of 758 children and adolescents with obesity (454 females, 304 males; mean age 14.8 ± 2.1 years; mean BMI 37.9 ± 6.2 kg/m2) were included. MASLD was diagnosed via ultrasonography, while MetS was defined using International Diabetes Federation criteria. TyG, TyG-WC, and TyG-BMI were calculated for all participants. Receiver operating characteristic (ROC) curves were generated to assess the diagnostic accuracy of these indexes, including sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). Results: MASLD was detected in 38.9% of participants, with a higher prevalence in males (p < 0.0001). MetS was present in 27.8% of the cohort, with higher prevalence in males (p < 0.0001). Among the indexes, TyG-WC exhibited the highest sensitivity for MASLD (77.6%), whereas TyG-BMI had the highest specificity (63.3%). In predicting MetS, all three indexes performed better than for MASLD, with TyG demonstrating the highest PPV (54.5%) and TyG-BMI the highest NPV (87.5%). Predictive performance was lower in males than females, potentially due to sex-specific differences in fat distribution and metabolic response. Conclusions: TyG, TyG-WC, and TyG-BMI are promising, non-invasive tools for identifying children and adolescents with obesity at risk for MASLD and MetS. The superior sensitivity of TyG-WC and the high specificity of TyG-BMI highlight the value of incorporating anthropometric parameters into metabolic screening. Integrating these indexes into routine clinical practice may enhance early detection, allowing for timely intervention and personalized management strategies, ultimately reducing the long-term burden of metabolic and liver diseases in pediatric populations.
Keywords: MASLD; MetS; TyG; TyG-body mass index; TyG-waist circumference index; adolescents; children; obesity; pediatric obesity; triglyceride glucose index.
Conflict of interest statement
The authors declare that the research was conducted without any commercial or financial relationships that could be construed as potential conflicts of interest.
Figures


Similar articles
-
Obesity- and lipid-related indices as a predictor of obesity metabolic syndrome in a national cohort study.Front Public Health. 2023 Feb 14;11:1073824. doi: 10.3389/fpubh.2023.1073824. eCollection 2023. Front Public Health. 2023. PMID: 36875382 Free PMC article.
-
Associations between cardiometabolic indices and the onset of metabolic dysfunction-associated steatotic liver disease as well as its progression to liver fibrosis: a cohort study.Cardiovasc Diabetol. 2025 Apr 3;24(1):154. doi: 10.1186/s12933-025-02716-6. Cardiovasc Diabetol. 2025. PMID: 40181314 Free PMC article.
-
Fatty Liver Index vs. Biochemical-Anthropometric Indices: Diagnosing Metabolic Dysfunction-Associated Steatotic Liver Disease with Non-Invasive Tools.Diagnostics (Basel). 2025 Feb 26;15(5):565. doi: 10.3390/diagnostics15050565. Diagnostics (Basel). 2025. PMID: 40075812 Free PMC article.
-
Triglyceride glucose-waist circumference as a predictor of mortality and subtypes of cardiovascular disease: a systematic review and meta-analysis.Diabetol Metab Syndr. 2025 Feb 15;17(1):59. doi: 10.1186/s13098-025-01616-9. Diabetol Metab Syndr. 2025. PMID: 39955571 Free PMC article. Review.
-
Unraveling Metabolic Syndrome in Youth: The Obesity Epidemic's Hidden Complication.Children (Basel). 2025 Apr 8;12(4):482. doi: 10.3390/children12040482. Children (Basel). 2025. PMID: 40310144 Free PMC article. Review.
Cited by
-
Triglyceride-glucose index and its related factors may be predictors for cardiovascular disease among Chinese postmenopausal women: a 12-year cohort study.Lipids Health Dis. 2025 Jun 19;24(1):218. doi: 10.1186/s12944-025-02643-1. Lipids Health Dis. 2025. PMID: 40537739 Free PMC article.
-
The serum uric acid to apolipoprotein A1 ratio is independently correlated with metabolic dysfunction-associated steatotic liver disease in type 2 diabetes mellitus: findings from a single national metabolic management center cohort.Front Endocrinol (Lausanne). 2025 Jun 4;16:1619003. doi: 10.3389/fendo.2025.1619003. eCollection 2025. Front Endocrinol (Lausanne). 2025. PMID: 40535329 Free PMC article.
-
From Childhood Obesity to Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) and Hyperlipidemia Through Oxidative Stress During Childhood.Metabolites. 2025 Apr 24;15(5):287. doi: 10.3390/metabo15050287. Metabolites. 2025. PMID: 40422865 Free PMC article. Review.
References
-
- Wasuwanich P., So J.M., Sadek M., Jarasvaraparn C., Rajborirug S., Quiros-Tejeira R.E., Karnsakul W. Pediatric Non-Alcoholic Fatty Liver Disease (NAFLD): Trends, Mortality, and Socioeconomic Disparities in the U.S., 1998–2020. Children. 2025;12:71. doi: 10.3390/children12010071. - DOI - PMC - PubMed
-
- Dâmaso A.R., Masquio D.C.L., Campos R.M.d.S., Corgosinho F.C., Cercato C. Effects of Multidisciplinary Therapy on Energy Balance, Inflammation, and Metabolic Diseases in Adolescents with Obesity: A Narrative Review. Ann. N. Y. Acad. Sci. 2024;1542:25–50. doi: 10.1111/nyas.15251. - DOI - PMC - PubMed
Grants and funding
LinkOut - more resources
Full Text Sources