Early Glucose Variability Is Associated with Mortality in Critically Ill Children: A Retrospective Pediatric

George Briassoulis1, Maria Biliraki1, Petros Stathakis1

  • 1Postgraduate Program "Emergency and Intensive Care of Children, Adolescents and Young Adults", School of Medicine, University of Crete, 70013 Heraklion, Greece.

Nutrients
|July 28, 2026
PubMed

Insights

Early glucose variability in critically ill children predicts mortality. Standard deviation (SD) of glucose levels in the first 72 hours showed the strongest association with pediatric intensive care unit (PICU) mortality.

Area of Science:

  • Pediatric critical care medicine
  • Endocrinology
  • Metabolic disorders

Background:

  • Critical illness often causes glucose homeostasis dysregulation, leading to increased glucose variability (GV).
  • Early glycemic instability in critically ill children may indicate disease severity and metabolic stress.

Purpose of the Study:

  • To assess the prognostic value of early glucose variability (GV) indices within the first 72 hours of pediatric intensive care unit (PICU) admission.
  • To investigate the association between GV indices, organ dysfunction, and adverse outcomes in pediatric patients.

Main Methods:

  • Retrospective observational study of 248 children admitted to the PICU (October 2022 - July 2024).
  • Calculated GV indices (SD, CV, GLI, MAG, ACACP) from glucose measurements within the first 72 hours.
  • Assessed associations with illness severity (PELOD-2, lactate) and outcomes (mortality) using correlation, logistic regression, and ROC analysis.

Main Results:

  • GV indices were intercorrelated and associated with PELOD-2 and lactate levels.
  • Non-survivors exhibited higher GV values compared to survivors.
  • Standard deviation (SD) was strongly associated with mortality (OR 4.82) and showed discrimination comparable to PELOD-2 score.

Conclusions:

  • Early glucose variability in the first 72 hours of PICU admission is linked to illness severity and mortality in children.
  • SD emerged as a significant predictor of mortality, alongside the PELOD-2 score.
  • Further prospective multicenter studies are needed to validate these findings for routine prognostic use.

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