Early EEG Features for Outcome Prediction After Cardiac Arrest in Children

Conclusions: 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.
Source: Journal of Clinical Neurophysiology - Category: Neurology Tags: Original Research Source Type: research