Peer-Reviewed Journal Details
Mandatory Fields
Stevenson, NJ;Clancy, RR;Vanhatalo, S;Rosen, I;Rennie, JM;Boylan, GB
2015
November
Annals Of Clinical And Translational Neurology
Interobserver agreement for neonatal seizure detection using multichannel EEG
Validated
WOS: 32 ()
Optional Fields
HYPOXIC-ISCHEMIC ENCEPHALOPATHY CRITICALLY-ILL CHILDREN ELECTROENCEPHALOGRAPHY BURDEN NEWBORN SYSTEM
2
1002
1011
Objective: To determine the interobserver agreement (IOA) of neonatal seizure detection using the gold standard of conventional, multichannel EEG. Methods: A cohort of full-term neonates at risk of acute encephalopathy was included in this prospective study. The EEG recordings of these neonates were independently reviewed for seizures by three international experts. The IOA was estimated using statistical measures including Fleiss' kappa and percentage agreement assessed over seizure events (event basis) and seizure duration (temporal basis). Results: A total of 4066 h of EEG recordings from 70 neonates were reviewed with an average of 2555 seizures detected. The IOA was high with temporal assessment resulting in a kappa of 0.827 (95% CI: 0.769-0.865; n = 70). The median agreement was 83.0% (interquartile range [IQR]: 76.6-89.5%; n = 33) for seizure and 99.7% (IQR: 98.9-99.8%; n = 70) for non-seizure EEG. Analysis of events showed a median agreement of 83.0% (IQR: 72.9-86.6%; n = 33) for seizures with 0.018 disagreements per hour (IQR: 0.000-0.090 per hour; n = 70). Observers were more likely to disagree when a seizure was less than 30 sec. Overall, 33 neonates were diagnosed with seizures and 28 neonates were not, by all three observers. Of the remaining nine neonates with contradictory EEG detections, seven presented with low total seizure burden. Interpretation: The IOA is high among experts for the detection of neonatal seizures using conventional, multichannel EEG. Agreement is reduced when seizures are rare or have short duration. These findings support EEG-based decision making in the neonatal intensive care unit, inform EEG interpretation guidelines, and provide benchmarks for seizure detection algorithms.
HOBOKEN
2328-9503
10.1002/acn3.249
Grant Details