Prognosis of Severe Traumatic Brain Injury Outcomes in Children

Semen V Meshcheryakov1,2, Zhanna B Semenova3, Valery I Lukianov3

  • 1Children's Clinical and Research Institute of Emergency Surgery and Trauma, Moscow, Russia. msaemon@rambler.ru.

Insights

Predicting outcomes for severe traumatic brain injury (TBI) in children is possible using a personalized prognostic model. Key factors include Glasgow Coma Scale (GCS) and Injury Severity Score (ISS), improving early prediction accuracy.

Area of Science:

  • Pediatric Neurology
  • Neurotraumatology
  • Clinical Prognostics

Background:

  • Severe traumatic brain injury (TBI) in children presents significant challenges in predicting patient outcomes.
  • Accurate prognostication is crucial for guiding clinical management and resource allocation.

Purpose of the Study:

  • To identify key prognostic factors influencing outcomes in pediatric severe TBI.
  • To develop and validate a predictive model for TBI outcomes in children.

Main Methods:

  • Included 169 pediatric severe TBI patients, assessing Glasgow Coma Scale (GCS), Injury Severity Score (ISS), CT findings (Marshall scale), and intracranial pressure (ICP).
  • Measured serum biomarkers S-100β protein and neuron-specific enolase (NSE) in subsets of patients.
  • Utilized discriminant function analysis to create a prognostic model, validated on a separate cohort of 118 patients.

Main Results:

  • Glasgow Coma Scale (GCS), pupil reactivity, Injury Severity Score (ISS), hypotension, and hypoxia were significant predictors of outcome.
  • Computed tomography (CT) findings and serum biomarkers (S-100β ≤ 0.25 μg/l, NSE < 19 μg/l) improved prognostic accuracy to 76%.
  • The validated mathematical prognostic model achieved an overall accuracy of 86%.

Conclusions:

  • A personalized prognostic model enables early prediction of severe TBI outcomes in children within the first day post-trauma.
  • This model aids in tailoring treatment strategies and managing expectations for pediatric TBI patients.
Abstract

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