Prediction of Poor Prognosis After Severe Head Injury in Children Using Logistic Regression

Rie Ichikawa1, Yukihiro Maeda1, Akiko Shibuya1

  • 1From the Departments of Health Care Services Management.

Pediatric Emergency Care
|November 3, 2017
PubMed

Insights

Early identification of severe pediatric head injury predictors is crucial. High serum glucose, low Glasgow Coma Scale scores, and mydriasis indicate poor prognosis and increased mortality risk in children.

Area of Science:

  • Pediatric Neurology
  • Trauma Surgery
  • Critical Care Medicine

Background:

  • Severe head injury is a leading cause of death and long-term disability in children.
  • Prompt medical intervention is essential to improve outcomes in pediatric head trauma.
  • Identifying early prognostic factors aids in timely and appropriate treatment strategies.

Purpose of the Study:

  • To identify factors associated with poor prognosis in children with severe head injury.
  • To develop predictive models for poor outcomes and mortality following pediatric head trauma.

Main Methods:

  • Retrospective analysis of 119 children with severe head injury from the Japan Neurotrauma Data Bank.
  • Data collected over two 2-year periods (2004-2006 and 2009-2011).
  • Univariate, multivariate, and logistic regression analyses used to determine predictors of outcome 6 months post-discharge.

Main Results:

  • Predictors of poor prognosis included serum glucose ≥ 200 mg/dL, Glasgow Coma Scale (GCS) score ≤ 5, mydriasis, and traumatic subarachnoid hemorrhage.
  • Predictors of death were serum glucose ≥ 200 mg/dL, GCS score ≤ 5, and mydriasis.
  • Outcomes at 6 months: 61.3% good recovery, 19.3% mortality.

Conclusions:

  • Serum glucose levels, GCS scores, and pupillary response can predict poor prognosis and mortality in pediatric severe head injury.
  • These factors allow for early risk stratification upon hospital admission.
  • Facilitates immediate implementation of targeted treatment to improve patient outcomes.
Abstract

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