Related Experiment Video
Updated: Dec 9, 2025

Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
Published on: September 6, 2017
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.
Objective:
Prolonged continuous video-electroencephalography (cEEG) is recommended for neonates at risk of seizures. The cost and expertise required to provide a real-time response to detected seizures often limits its utility. We hypothesised that the first hour of cEEG could predict subsequent seizures.
Design And Setting:
Retrospective multicentre diagnostic accuracy study.
Patients:
266 term neonates at risk of seizure or with suspected seizures.
Intervention:
The first hour of cEEG was graded by expert and novice interpreters as normal, mildly, moderately or severely abnormal; seizures were identified.
Main Outcome Measures:
Association between abnormalities in the first hour of cEEG and the presence of seizures during total cEEG monitoring.
Results:
50/98 (51%) of neonates who developed seizures had their first seizure in the first hour of cEEG monitoring. The 'time-to-event' risk of seizure from 0 to 96 hours was 0.38 (95% CI 0.32 to 0.44) while the risk in the first hour was 0.19 (95% CI 0.15 to 0.24). cEEG background was normal in 48% of neonates, mildly abnormal in 30%, moderately abnormal in 13% and severely abnormal in 9%. Inter-rater agreement for determination of background was very good (weighted kappa=0.81, 95% CI 0.72 to 0.91). When neonates with seizures during the first hour were excluded, an abnormal background resulted in 2.4 times increased risk of seizures during the subsequent monitoring period (95% CI 1.3 to 4.4, p<0.003) while a severely abnormal background resulted in a sevenfold increased risk (95% CI 3.4 to 14.3, p<0.0001).
Conclusions:
The first hour of cEEG in at-risk neonates is useful in identifying and predicting whether seizures occur during cEEG monitoring up to 96 hours. This finding enables identification of high-risk neonates who require closer observation.

