Trends in cyclicity and amplitudes on amplitude-integrated electroencephalography during transition in extremely low

Poorva Deshpande1,2, Julia Dirks3, Amish Jain1,2

  • 1Mount Sinai Hospital, Toronto, Ontario, Canada.

Insights

Amplitude integrated electroencephalography (aEEG) shows increased cyclicity in extremely low gestational age neonates (ELGANs) without neurological injury. Maturation scores and voltage margins also increase over time in these infants.

Area of Science:

  • Neonatal neurology
  • Clinical neurophysiology
  • Pediatric electroencephalography

Background:

  • Extremely low gestational age neonates (ELGANs) are vulnerable to neurological complications.
  • Amplitude integrated electroencephalography (aEEG) is a valuable tool for monitoring brain activity in neonates.
  • Understanding aEEG patterns in ELGANs is crucial for early detection of neurological issues.

Purpose of the Study:

  • To describe aEEG cyclicity, background pattern, voltage margins, and maturation scores in ELGANs within the first 72 hours of life.
  • To compare aEEG findings between uncomplicated and complicated cases in ELGANs.
  • To assess the temporal evolution of aEEG parameters in ELGANs.

Main Methods:

  • Prospective study of 50 infants with gestational age 23+0-27+6 weeks.
  • Classification of infants into 'Uncomplicated' and 'Complicated' groups based on intraventricular hemorrhage and disorders of transition.
  • Analysis of aEEG parameters including cyclicity, background pattern, voltage, and maturation scores within the first 72 hours.

Main Results:

  • Increased cyclicity was observed in the 'Uncomplicated' group (87%) compared to the 'Complicated' group (54%).
  • The 'Uncomplicated' group showed more cycles per hour.
  • Maturation scores, high, and low base voltage increased over time in the 'Uncomplicated' group.

Conclusions:

  • Clinically stable ELGANs without neurological injury exhibit increased aEEG cyclicity within the first 72 hours.
  • aEEG maturation scores and voltage margins show a temporal increase in uncomplicated ELGANs.
  • aEEG is a sensitive indicator for neurological status and maturation in ELGANs.
Abstract