Interrater Variability of EEG Interpretation after Pediatric Cardiac Arrest Utilizing Standardized Critical Care EEG Terminology
Abstract number :
1.093
Submission category :
3. Neurophysiology / 3B. ICU EEG
Year :
2017
Submission ID :
343619
Source :
www.aesnet.org
Presentation date :
12/2/2017 5:02:24 PM
Published date :
Nov 20, 2017, 11:02 AM
Authors :
Nicholas S. Abend, The Children’s Hospital of Philadelphia, The Perelman School of Medicine at the University of Pennsylvania. Philadelphia, PA, United States; Shavonne L. Massey, Children's Hospital of Philadelphia; Mark Fitzgerald, Children's Hos
Rationale: We evaluated interrater agreement of electroencephalography (EEG) interpretation in a cohort of critically ill children resuscitated after cardiac arrest using standardized EEG terminology. Methods: Four pediatric electroencephalographers scored ten minute EEG segments from 72 consecutive children obtained 24 hours after return of circulation using the American Clinical Neurophysiology Society’s (ACNS) Standardized Critical Care EEG terminology. The percent of perfect agreement and the kappa coefficient were calculated for each of the standardized EEG variables and a predetermined composite EEG background category. Results: The Overall EEG Category (normal, slow-disorganized, discontinuous, or attenuated-featureless) had almost perfect agreement (kappa 0.89).The ACNS Standardized Critical Care EEG variables had agreement that was (1) almost perfect for the seizures variable (kappa 0.93), (2) substantial for the continuity (kappa 0.79), voltage (kappa 0.70), and sleep transient (kappa 0.65) variables, (3) moderate for the rhythmic or periodic patterns (kappa 0.55) and inter-ictal epileptiform discharge (kappa 0.60) variables, and (4) fair for the predominant frequency (kappa 0.23) and symmetry (kappa 0.31) variables. Condensing variable options led to improved agreement for the continuity and voltage variables. Conclusions: These data support the use of the standardized terminology and the composite EEG background category as a basis for standardized EEG interpretation for subsequent studies assessing EEG background for neuroprognostication after pediatric cardiac arrest. Funding: NIH (NINDS)
Neurophysiology