Brain injury biomarkers as outcome predictors in pediatric severe traumatic brain injury

Hani Daoud1, Ibrahim Alharfi, Ibrahim Alhelali

  • 1Department of Paediatrics, Western University, London, ON, Canada.

Neurocritical Care
|August 15, 2013
PubMed

Insights

Biomarkers in cerebrospinal fluid and blood show promise for predicting outcomes in pediatric severe traumatic brain injury (sTBI). Further research is needed for novel biomarker discovery and validation in large studies.

Area of Science:

  • Neuroscience
  • Biomarker Research
  • Pediatric Traumatology

Background:

  • Severe traumatic brain injury (sTBI) in children poses significant challenges for outcome prediction.
  • Identifying reliable biomarkers in cerebrospinal fluid (CSF) and blood is crucial for assessing injury severity and prognosis.
  • Existing literature on brain injury biomarkers in pediatric sTBI requires systematic evaluation.

Purpose of the Study:

  • To systematically review and synthesize the literature on brain injury biomarkers.
  • To determine the predictive value of CSF and blood biomarkers for outcomes in pediatric sTBI.
  • To identify promising biomarkers for future research and clinical application.

Main Methods:

  • Comprehensive literature search across multiple databases (MEDLINE, EMBASE, PsycINFO, Pubmed, Cochrane) and grey literature.
  • Inclusion of studies with no language, publication type, or date restrictions.
  • Independent critical review of all identified articles by two clinicians.

Main Results:

  • 16 studies reviewed, examining 18 biomarkers (11 in CSF, 7 in blood).
  • Significant correlations found between CSF biomarkers (e.g., IL-6, S100β, NSE) and blood biomarkers (e.g., GFAP, NF-H) with pediatric sTBI outcomes.
  • Mixed or no correlations observed for certain biomarkers (e.g., blood S100β, CSF BDNF).

Conclusions:

  • Current research highlights potential for specific CSF and blood biomarkers in predicting pediatric sTBI outcomes.
  • Further research should focus on discovering novel biomarkers.
  • Validation of biomarker panels in large, well-designed longitudinal studies is essential.
Abstract