Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society
-
J Clin Neurophysiol · Sep 2019
Observational StudyEarly EEG Features for Outcome Prediction After Cardiac Arrest in Children.
We aimed to determine which early EEG features and feature combinations most accurately predicted short-term neurobehavioral outcomes and survival in children resuscitated after cardiac arrest. ⋯ The specificity of the optimal model using a combination of early EEG features was high for unfavorable neurologic outcome and mortality in critically ill children after cardiac arrest. However, the positive predictive value was only 86% for both outcomes. Therefore, EEG data must be considered in overall clinical context when used for neuroprognostication early after cardiac arrest.
-
J Clin Neurophysiol · Sep 2019
Continuous EEG Monitoring Predicts a Clinically Meaningful Recovery Among Adult Inpatients.
Continuous EEG (cEEG) monitoring is primarily used for diagnosing seizures and status epilepticus, and for prognostication after cardiorespiratory arrest. The purpose of this study was to investigate whether cEEG could predict survival and meaningful recovery. ⋯ Continuous EEG findings can be used to prognosticate survival and functional recovery, and provide guidance in establishing goals of care.