A clinical and economic evaluation of Control of Hyperglycaemia in Paediatric intensive care (CHiP): a randomised

Duncan Macrae1, Richard Grieve2, Elizabeth Allen3

  • 1Royal Brompton Hospital, London, UK.

Insights

Tight glycaemic control (TGC) in pediatric intensive care units (PICUs) did not improve clinical outcomes but increased hypoglycemia risk. For non-cardiac surgery patients, TGC reduced costs and is likely cost-effective.

Area of Science:

  • Pediatric intensive care
  • Critical illness management
  • Glycemic control in children

Background:

  • Previous adult studies suggested tight glucose control in critical illness reduces mortality and complications.
  • The benefit of tight glucose control in critically ill children remained unclear prior to this study.

Purpose of the Study:

  • To determine if tight glycaemic control (TGC) using insulin in pediatric intensive care units (PICUs) reduces mortality and morbidity.
  • To assess the cost-effectiveness of TGC in PICUs, including patients admitted after cardiac surgery.

Main Methods:

  • A randomized, open-label, two-arm superiority trial involving 13 English PICUs.
  • 1369 eligible children were randomized to either TGC (target 4.0–7.0 mmol/l) or conventional management (CM).
  • Primary outcome was days alive and free from mechanical ventilation within 30 days (VFD-30); secondary outcomes included clinical and economic measures.

Main Results:

  • No significant difference in VFD-30 between TGC and CM groups (mean difference 0.36 days).
  • Hypoglycemia occurred significantly more often in the TGC arm (19.8% vs. 4.6%).
  • TGC reduced 12-month costs for non-cardiac surgery patients and was likely cost-effective in this subgroup, but not for cardiac surgery patients.

Conclusions:

  • TGC did not improve clinical outcomes or cost-effectiveness overall compared to CM in critically ill children.
  • A higher incidence of hypoglycemia was observed with TGC.
  • TGC may be cost-effective for non-cardiac surgery patients, but further research is needed to optimize protocols and assess long-term benefits.
Abstract

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