Neurodevelopmental outcome in term infants with status epilepticus detected with amplitude-integrated

Linda G M van Rooij1, Linda S de Vries, Setyo Handryastuti

  • 1Department of Neonatology, Wilhelmina Children's Hospital, 3508 AB Utrecht, The Netherlands.

Pediatrics
|August 3, 2007
PubMed

Insights

The background EEG pattern, not duration, predicts neurodevelopmental outcomes in term newborns with status epilepticus (SE). Abnormal patterns before and after SE correlate with poor outcomes, especially in hypoxic-ischemic encephalopathy.

Area of Science:

  • Neonatal Neurology
  • Clinical Neurophysiology

Background:

  • Status epilepticus (SE) in term newborns is a critical neurological event.
  • Amplitude-integrated electroencephalography (aEEG) is a valuable tool for detecting SE.
  • Predicting neurodevelopmental outcomes in affected infants remains a challenge.

Purpose of the Study:

  • To evaluate seizure characteristics and neurodevelopmental outcomes in term newborns with aEEG-detected SE.
  • To identify predictors of neurodevelopmental outcome in this vulnerable population.

Main Methods:

  • A retrospective study of 56 term infants with aEEG-detected SE over 12.5 years.
  • Analysis included SE onset, background EEG patterns (pre- and post-SE), seizure control, and neurodevelopmental follow-up.
  • Subgroup analysis for hypoxic-ischemic encephalopathy (HIE) and hemorrhage/stroke.

Main Results:

  • The incidence of SE was 18%. 75% of infants had poor neurodevelopmental outcomes.
  • Abnormal background EEG patterns before and after SE were strongly correlated with poor outcomes.
  • In HIE subgroup, both abnormal background patterns and longer SE duration predicted poor outcomes.
  • SE control with antiepileptic drugs did not correlate with neurodevelopmental outcome.

Conclusions:

  • The pre- and post-SE background EEG pattern is the primary predictor of neurodevelopmental outcome.
  • SE duration is predictive only in infants with HIE.
  • Antiepileptic drug control efficacy does not predict long-term neurodevelopmental status.
Abstract