AI Article Synopsis

  • The study evaluates the use of amplitude integrated EEG (aEEG) in preterm infants to predict long-term outcomes by examining their brain activity during the first 72 hours of life.
  • It found that a depressed aEEG background and absence of cyclical activity on the third day were linked to poor outcomes; however, when accounting for other factors like gestational age and intraventricular hemorrhage, these associations were weaker.
  • The research suggests that while aEEG can provide real-time insights into brain function, its effectiveness as a predictive tool is limited compared to other established factors.

Article 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 ( = .028). Similarly, absence of cycling on the third day of life was associated with death or poor outcome ( = .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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7488832PMC
http://dx.doi.org/10.1177/0883073820930505DOI Listing

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