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The triglyceride and glucose index is useful for recognising insulin resistance in children

M Rodríguez-Morán1, L E Simental-Mendía1, F Guerrero-Romero1

  • 1Biomedical Research Unit of the Mexican Social Security Institute, Durango, Mexico.

Acta Paediatrica (Oslo, Norway : 1992)
|February 21, 2017
PubMed

Insights

The triglyceride-glucose (TyG) index is a practical alternative for identifying insulin resistance (IR) in children. This index offers a cost-effective and less invasive method compared to traditional tests, especially in resource-limited areas.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Health
  • Diagnostic Biomarkers

Background:

  • Insulin resistance (IR) recognition in children is crucial for metabolic health.
  • The gold standard euglycemic-hyperinsulinemic clamp test is costly and invasive.
  • Limited availability of the gold standard test in settings like Mexico necessitates alternative diagnostic tools.

Purpose of the Study:

  • To evaluate the triglyceride-glucose (TyG) index as a feasible alternative for diagnosing insulin resistance in children.
  • To determine the diagnostic accuracy of the TyG index in comparison to established methods.

Main Methods:

  • A cohort of 2779 school children (aged 7-17) in Durango, Mexico, was studied.
  • The euglycemic-hyperinsulinemic clamp test was performed on a subsample (n=125).
  • Diagnostic concordance between the TyG index and the homoeostasis model assessment of IR (HOMA-IR) was assessed in the full cohort.

Main Results:

  • Optimal TyG index cut-off values for IR detection were established: 4.65 (prepubertal), 4.75 (pubertal girls), and 4.70 (pubertal boys).
  • High concordance was observed between the TyG index and HOMA-IR across all groups (0.902-0.932).

Conclusions:

  • The TyG index demonstrates utility in identifying insulin resistance in both prepubertal and pubertal children.
  • The TyG index presents a viable, less invasive, and cost-effective alternative to the gold standard clamp test for IR screening in resource-limited settings.
Abstract

Keywords:
GlucoseInsulin resistancePrepubertalPubertalTriglyceride

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