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Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
Published on: September 6, 2017
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Does the first hour of continuous electroencephalography predict neonatal seizures?
Emma Macdonald-Laurs1, Cynthia Sharpe2, Mark Nespeca3,4
1The Department of Paediatric Neurology, Starship Children's Health, Newmarket, New Zealand.
Archives of Disease in Childhood. Fetal and Neonatal Edition
|September 15, 2020
Summary
The initial hour of continuous video-electroencephalography (cEEG) in neonates can effectively predict subsequent seizures. This early assessment helps identify high-risk infants needing closer monitoring for seizure activity.
Area of Science:
- Neonatal neurology
- Clinical neurophysiology
- Pediatric critical care
Background:
- Prolonged continuous video-electroencephalography (cEEG) is crucial for neonates at risk of seizures.
- Real-time interpretation of cEEG is often limited by cost and expertise.
- Predicting seizure risk early can optimize resource allocation and patient management.
Purpose of the Study:
- To determine if the first hour of cEEG can predict seizures in neonates.
- To assess the diagnostic accuracy of early cEEG findings in identifying seizure risk.
- To evaluate the utility of early cEEG interpretation in guiding neonatal seizure management.
Main Methods:
- Retrospective multicentre diagnostic accuracy study.
- Analysis of cEEG data from 266 term neonates at risk for or with suspected seizures.
- Expert and novice interpretation of the first hour of cEEG, categorizing background activity as normal, mildly, moderately, or severely abnormal.
Main Results:
- 51% of neonates who developed seizures had their first seizure within the initial hour of monitoring.
- An abnormal cEEG background in the first hour was associated with a significantly increased risk of subsequent seizures (up to sevenfold for severely abnormal backgrounds).
- Inter-rater agreement for background grading was very good (weighted kappa=0.81).
Conclusions:
- The first hour of cEEG is a valuable tool for predicting seizure occurrence in at-risk neonates.
- Early identification of abnormal cEEG patterns can identify neonates requiring intensified monitoring.
- This approach can improve the efficiency and effectiveness of seizure management in neonatal intensive care units.

