Exploratory factor analysis yields grouping of brain injury biomarkers significantly associated with outcomes in

Victoria Huang1, Jennifer Roem2, Derek K Ng2

  • 1Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University School of Medicine, 1800 Orleans Street, Bloomberg Suite 6321, Baltimore, MD, 21287, USA.

Scientific Reports
|May 11, 2024
PubMed

Insights

This study identified three key factors among brain injury biomarkers in children on ECMO (extracorporeal membrane oxygenation). Higher scores in cellular injury and vascular factors predicted worse outcomes, while a neuroplasticity factor suggested better outcomes.

Area of Science:

  • Pediatric Neurology
  • Biomarker Discovery
  • Extracorporeal Membrane Oxygenation (ECMO)

Background:

  • Brain injury is a significant concern in children requiring ECMO.
  • Identifying reliable biomarkers for predicting outcomes in this population is crucial.

Purpose of the Study:

  • To explore the interplay of plasma brain injury biomarkers in pediatric ECMO patients.
  • To assess the association of these biomarkers with clinical outcomes.

Main Methods:

  • Prospective cohort study involving 95 children on ECMO at two centers.
  • Daily measurement of 11 plasma brain injury biomarkers for the first 3 days.
  • Exploratory Factor Analysis (EFA) to group biomarkers and multivariable logistic regression to assess outcome associations.

Main Results:

  • EFA identified three distinct biomarker factors: cellular injury (Factor 1), vascular processes (Factor 2), and a BDNF/MMP-9 pathway (Factor 3).
  • Higher Factor 1 and Factor 2 scores were significantly associated with increased odds of unfavorable composite outcomes (mortality or significant neurodevelopmental decline).
  • Higher Factor 3 scores were associated with decreased odds of unfavorable outcomes, potentially linked to neuroplasticity.

Conclusions:

  • EFA effectively grouped plasma brain injury biomarkers in pediatric ECMO patients.
  • The identified biomarker factors show significant association with clinical outcomes.
  • These factors hold potential as prognostic instruments for guiding clinical management in pediatric ECMO.

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