Evaluation of HOMA and QUICKI as measures of insulin sensitivity in prepubertal children

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Wayne S Cutfield1, Craig A Jefferies, Wendy E Jackson

  • 1Department of Paediatrics and the Health Research Council Biostatistics Unit, University of Auckland, Private Bag 92019, Auckland, New Zealand. w.cutfield@auckland.ac.nz

Pediatric Diabetes
|December 6, 2003
PubMed

Insights

Simple fasting methods like HOMA and QUICKI are unreliable for measuring insulin sensitivity in children. These methods failed to detect changes in insulin sensitivity related to obesity or growth hormone therapy in prepubertal children.

Area of Science:

  • Pediatric Endocrinology
  • Metabolic Research
  • Clinical Diagnostics

Background:

  • Insulin sensitivity (SI) assessment in children is crucial for metabolic health.
  • Homeostasis model assessment (HOMA) and quantitative insulin-sensitivity check index (QUICKI) are widely used in adults but lack validation in pediatric populations.
  • This study aimed to compare HOMA and QUICKI with the minimal model for SI measurement in prepubertal children.

Discussion:

  • The study evaluated SI in a diverse group of prepubertal children, including twins, premature, and small for gestational age (SGA) infants.
  • The minimal model (SIMM) was used as the gold standard for SI assessment, derived from frequently sampled intravenous glucose tolerance tests.
  • HOMA resistance index (RHOMA) and QUICKI were calculated using fasting glucose and insulin levels.

Key Insights:

  • RHOMA showed poor correlation with SIMM, comparable to fasting insulin alone, and was only significant at low SI values.
  • QUICKI demonstrated a weak correlation with SIMM, indicating its inadequacy as an SI measure in this age group.
  • Neither RHOMA nor QUICKI could detect significant changes in SI in response to growth hormone therapy in SGA children or differences between obese and non-obese children.

Outlook:

  • Current simple fasting-based methods (HOMA, QUICKI) are not suitable for assessing insulin sensitivity in prepubertal children.
  • The minimal model remains a more reliable method for evaluating SI dynamics in pediatric research.
  • Further research is needed to develop and validate accurate, accessible SI assessment tools for pediatric populations.
Abstract

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