Amplitude-integrated electroencephalography can predict neurodevelopmental outcome at 12 months of corrected age in

Elisabeth Ralser1, Vera Neubauer1, Ulrike Pupp-Peglow1

  • 1Department of Paediatrics II, Neonatology, Innsbruck Medical University, Innsbruck, Austria.

Insights

Amplitude-integrated electroencephalography (aEEG) reliably predicts neurodevelopmental outcomes in very preterm infants. Early aEEG assessment using the Burdjalov score provides crucial prognostic information for clinical practice.

Area of Science:

  • Neonatal neurology
  • Developmental pediatrics
  • Clinical neurophysiology

Background:

  • Predicting neurodevelopmental outcomes in very preterm infants is challenging.
  • Reliable diagnostic tools are needed for early intervention.
  • Amplitude-integrated electroencephalography (aEEG) is a non-invasive monitoring technique.

Purpose of the Study:

  • To evaluate the predictive value of aEEG for neurodevelopmental outcomes at 12 months corrected age in preterm infants.
  • To assess the utility of the Burdjalov score derived from aEEG.
  • To determine the optimal timing for aEEG assessment.

Main Methods:

  • A cohort of 232 preterm infants (gestational age 29.5 weeks) was studied.
  • Amplitude-integrated electroencephalography was assessed using the Burdjalov score within 18-24 hours of life.
  • Neurodevelopmental outcomes were evaluated at 12 months corrected age using the Bayley Scales of Infant Development - Second Edition.

Main Results:

  • Lower Burdjalov scores correlated with increased severity of neurodevelopmental delays (moderate and severe).
  • The highest predictive accuracy (AUC 0.776) for the Burdjalov score was observed in the first 18-24 hours of life.
  • The study identified distinct subgroups based on outcome severity.

Conclusions:

  • Amplitude-integrated electroencephalography, particularly the Burdjalov score, demonstrates significant predictive value for neurodevelopmental outcomes in very preterm infants.
  • Early aEEG assessment (18-24 hours of life) is recommended for reliable prognostication.
  • This non-invasive method can aid in guiding clinical management and early interventions for preterm infants.
Abstract

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