Related Experiment Video
Updated: Dec 18, 2025
Application of an Amplitude-integrated EEG Monitor Cerebral Function Monitor to Neonates
Published on: September 6, 2017
Predictive Value of Early Amplitude Integrated EEG in Extremely Premature Infants
Justin Richardson1,2, Sharon Goshen2, Irina Meledin1,2
1Neonatology Department, Soroka Medical Center, Beer-Sheva, Israel.
Insights
Amplitude integrated electroencephalography (aEEG) monitoring in preterm infants showed that a depressed background and lack of cycling on day three correlated with poor outcomes. However, this predictive value diminished when adjusted for other clinical factors.
Area of Science:
- Neonatal neurology
- Clinical neurophysiology
- Developmental pediatrics
Background:
- Amplitude-integrated electroencephalography (aEEG) is a valuable tool for monitoring brain function in preterm infants.
- Assessing aEEG patterns in the early neonatal period may offer insights into neurodevelopmental outcomes.
Purpose of the Study:
- To investigate the association between visual assessment of aEEG background activity within the first 72 hours of life and long-term outcomes in extremely preterm infants.
- To determine if aEEG patterns can predict neurodevelopmental outcomes in this vulnerable population.
Main Methods:
- Prospective enrollment of premature infants (<28 weeks' gestation) with daily aEEG monitoring for the first 72 hours.
- Classification of aEEG based on background activity, cycling, and seizure activity.
- Statistical analysis using log-rank and multivariable Cox regression to correlate aEEG findings with short- and long-term outcomes.
Main Results:
- Depressed aEEG background on day three was significantly associated with poor outcome (P = .028).
- Absence of cycling on day three was linked to increased risk of death or poor outcome (P = .004, P = .012).
- Multivariable models, adjusted for gestational age, intraventricular hemorrhage, and sedative use, found no significant association between aEEG patterns and outcome.
Conclusions:
- While visually assessed aEEG patterns like depressed background and absent cycling show univariable associations with poor outcomes in extremely preterm infants, their predictive power is limited.
- Caution is advised when using visual aEEG analysis as a sole predictor of long-term outcomes; gestational age and intraventricular hemorrhage appear to be stronger predictors.
Abstract:
Amplitude integrated EEG (aEEG) is increasingly utilized in preterm infants. The aim of the study was to evaluate whether semiquantitative visual assessment of aEEG background during the first 72 hours of life is associated with long-term outcome in a group of premature infants born less than 28 weeks' gestation. Infants were prospectively enrolled and monitored in the first 72 hours after birth. aEEG was classified daily according to background activity, appearance of cyclical activity and presence of seizures activity. Log-rank and multivariable cox analysis were used to explore associations of background aEEG activity with short and long-term outcome. Overall, 51 infants were enrolled into the study. Depressed aEEG background on the third day of life was associated with poor outcome (P = .028). Similarly, absence of cycling on the third day of life was associated with death or poor outcome (P = .004 and .012, respectively). In different multivariable models adjusted for gestational age, severe intraventricular hemorrhage or use of sedative medication, neither background nor cycling activities were associated with outcome. Depressed aEEG background and absence of aEEG cycling on the third day of life are associated with poor outcome in univariable analysis. Although continuous aEEG monitoring of premature infants can provide real-time assessment of cerebral function, its use as a predictive tool for long-term outcome using visual analysis requires caution as its predictive power is not greater than that of gestational age or intraventricular hemorrhage.
