Predictive value of video alone in diagnosis of epileptic vs paroxysmal nonepileptic events in children

Objective: Previous studies examined the use of video-based diagnosis and the predictive value of videos for differentiation of epileptic seizures (ES) from paroxysmal nonepileptic events (PNEE) in the adult pop-ulation. However, there are no such published studies strictly on the pediatric population. Using video-EEG diagnosis as a gold standard, we aimed to determine the diagnostic predictive value of videos of habitual events with or without additional clinical data in differentiating the PNEE from ES in children.Methods: Consecutive admissions to our epilepsy monitoring unit between June 2020 and December 2020 were analyzed for events of interest. Four child neurologists blinded to the patient's diagnosis for-mulated a diagnostic impression based upon the review of the video alone and again after having access to basic clinical information, in addition to the video. Features of the video which helped to make a diag-nosis were identified by the reviewers as a part of a survey.Results: A total of 54 patients were included (ES n = 24, PNEE n = 30). Diagnostic accuracy was calculated for each reviewer and combined across all the ratings. Diagnostic accuracy by video alone was 74.5% (sen-sitivity 80.8%, specificity 66.7%). Providing reviewers with basic clinical information in addition to the videos significantly improved diagnostic accuracy compared to viewing the videos alone. Inter-rater reli-ability between four reviewers based on the video alone showed moderate agreement (j = 0.51) and unchanged when additional clinical data were presented (j = 0.51). The ES group was significantly more likely to demonstrate changes in facial expression, generalized stiffening, repetitive eye blinks, and eye deviation when compared with the PNEE group, which was more likely to display bilateral myoclonic jerking.Conclusions: Video review of habitual events by Child Neurologists may be helpful in reliably distinguish-ing ES from PNEE in children, even without included clinical information.(c) 2022 Elsevier Inc. All rights reserved.

Automated summary

This study aimed to evaluate the diagnostic predictive value of video-EEG for differentiating PNEE from ES in children. Four child neurologists formulated a diagnostic impression based on videos alone and with additional clinical information. The results showed that the diagnostic accuracy by video alone was 74.5%, and providing clinical information significantly improved the accuracy.