Agreement between long-term neonatal background classification by conventional and amplitude-integrated EEG

Area of Science:

• Neonatal neurology
• Clinical neurophysiology
• Medical device evaluation

Background:

• Conventional EEG (CEEG) is the gold standard for neonatal seizure detection and background assessment.
• CEEG is costly and impractical for long-term infant monitoring.
• Amplitude-integrated EEG (AEEG) offers a simplified alternative for continuous neonatal EEG monitoring.

Purpose of the Study:

• To assess the agreement between CEEG and AEEG in classifying neonatal EEG background post-cardiac surgery.
• To determine if AEEG can reliably substitute CEEG for long-term background assessment.

Main Methods:

• Infants undergoing cardiac surgery had CEEG monitored over 12-hour epochs.
• CEEG data was converted to AEEG and independently interpreted using standard amplitude criteria.
• Statistical analysis, including generalized estimating equations, compared CEEG and AEEG classifications, considering patient age and seizures.

Main Results:

• A significant, moderate positive association was found between CEEG and AEEG interpretations.
• AEEG background distributions (22% normal, 73% moderately abnormal) differed significantly from CEEG (60% normal, 22% mildly abnormal).
• Moderately abnormal AEEGs were often associated with normal or mildly abnormal CEEGs, but accuracy improved with knowledge of patient age and seizure presence.

Conclusions:

• While AEEG demonstrates moderate agreement with CEEG, its interpretation differs significantly.
• AEEG's utility in predicting abnormal CEEG findings is enhanced by considering patient age and seizure activity.
• AEEG is a viable, simplified tool for neonatal EEG monitoring, but results require careful interpretation in clinical context.