Electroencephalography Quality and Application Times in a Pediatric Emergency Department Setting: A Feasibility Study

Carol M Stephens1, Sean R Mathieson1, Brian McNamara2

  • 1INFANT Research Centre, University College Cork, Cork, Ireland; Department of Paediatrics and Child Health, University College Cork, Cork, Ireland.

Pediatric Neurology
|September 10, 2023
PubMed

Insights

Pediatric electroencephalography (EEG) is feasible in emergency departments for diagnosing status epilepticus. Good-quality EEG recordings can be obtained within an hour, aiding in timely diagnosis and treatment of neurological emergencies in children.

Area of Science:

  • Pediatric Neurology
  • Emergency Medicine
  • Clinical Neurophysiology

Background:

  • Status epilepticus is a common pediatric neurological emergency.
  • Diagnosing nonconvulsive status epilepticus is challenging and requires electroencephalographic (EEG) confirmation.
  • Rapid EEG acquisition in emergency settings is crucial for timely diagnosis.

Purpose of the Study:

  • To assess the feasibility of obtaining high-quality pediatric EEG recordings within 20 minutes of emergency department presentation.
  • To evaluate the time to EEG application and recording quality in a pediatric emergency setting.

Main Methods:

  • A single-center prospective feasibility study was conducted.
  • Two-channel continuous EEG was recorded from pediatric patients (<16 years) with altered consciousness.
  • Data collected included time to application, recording duration, and percentage of artifact.

Main Results:

  • Twenty pediatric patients were included in the study.
  • The mean time to EEG application was 41.3 minutes, with a mean recording length of 93.1 minutes.
  • Sixty-five percent of EEGs had less than 25% artifact, with higher artifact levels during airway management.

Conclusions:

  • EEG monitoring is achievable in pediatric emergency departments within one hour.
  • Artifact levels are generally low, except during airway manipulation.
  • Further research is needed to explore EEG's role in early seizure detection and clinical decision-making.
Abstract

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