Validation of the Glycemic Stress Index in Pediatric Neurosurgical Intensive Care

Marco Piastra1, Alessandro Pizza2, Federica Tosi1,3

  • 1Pediatric Intensive Care Unit, Department of Anesthesiology and Intensive Care, University Hospital "A. Gemelli", Catholic University Medical School, Rome, Italy.

Neurocritical Care
|December 23, 2016
PubMed

Insights

The Glycemic Stress Index (GSI) effectively predicts longer pediatric intensive care unit (PICU) stays in children undergoing neurosurgery. This metabolic index, combining blood sugar levels and surgery duration, offers valuable insights for patient outcomes.

Area of Science:

  • Pediatric Anesthesiology
  • Pediatric Critical Care Medicine
  • Neurosurgery

Background:

  • Hyperglycemia, both in degree and duration, is linked to adverse outcomes in pediatric anesthesia and critically ill children.
  • The Glycemic Stress Index (GSI) was developed by combining intraoperative glycemic variations and surgery length to quantify metabolic glucose-related stress.

Purpose of the Study:

  • To validate the GSI's predictive capability for pediatric intensive care unit (PICU) length of stay.
  • To assess GSI in a pediatric population undergoing diverse major neurosurgical procedures.

Main Methods:

  • 352 pediatric patients undergoing craniotomy were enrolled.
  • Intraoperative blood loss was quantified using estimated red cell volume loss ratio.
  • Receiver Operating Characteristic (ROC) analysis was employed to evaluate GSI's accuracy in predicting PICU stays exceeding 100 or 200 hours.

Main Results:

  • The mean PICU stay was 35 hours.
  • A significant direct correlation was found between GSI and PICU length of stay.
  • GSI demonstrated an Area Under the ROC Curve (AUC) of 0.74 for predicting >200 hours PICU stay (p=0.03) and 0.67 for >100 hours (p=0.01).

Conclusions:

  • The GSI is a significant predictor of prolonged PICU stays in children following major neurosurgery.
  • The GSI proved more accurate in predicting extended PICU stays (>200 hours).
Abstract

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