Article ID Journal Published Year Pages File Type
5627870 Clinical Neurophysiology 2016 8 Pages PDF
Abstract

•A non-reactive EEG background on early EEG predicts abnormal outcome in children with encephalitis.•Seizures with shifting ictal focality predict drug resistant epilepsy in children with encephalitis.•Children with NMDAR encephalitis have reactive early EEG background & demonstrate extreme spindles.

ObjectivesTo examine EEG features in a retrospective 13-year cohort of children with encephalitis.Methods354 EEGs from 119 patients during their admission were rated blind using a proforma with demonstrated inter-rater reliability (mean k = 0.78). Patients belonged to 12 etiological groups that could be grouped into infectious and infection-associated (n = 47), immune-mediated (n = 36) and unknown (n = 33). EEG features were analyzed between groups and for risk of abnormal Liverpool Outcome Score and drug resistant epilepsy (DRE) at last follow up.Results86% children had an abnormal first EEG and 89% had at least one abnormal EEG. 55% had an abnormal outcome, and 13% had DRE after median follow-up of 7.3 years (2.0-15.8 years). Reactive background on first EEGs (9/11, p = 0.04) and extreme spindles (4/11, p < 0.001) distinguished patients with anti-N-Methyl-d-Aspartate Receptor encephalitis. Non-reactive EEG background (48% first EEGs) predicted abnormal outcome (OR 3.8, p < 0.001). A shifting focal seizure pattern, seen in FIRES (4/5), anti-voltage gated potassium channel (2/3), Mycoplasma (1/10), other viral (1/10) and other unknown (1/28) encephalitis, was most predictive of DRE after multivariable analysis (OR 11.9, p < 0.001).ConclusionsNon-reactive EEG background and the presence of shifting focal seizures resembling migrating partial seizures of infancy are predictors of abnormal outcome and DRE respectively in childhood encephalitis.SignificanceEEG is a sensitive but non-discriminatory marker of childhood encephalitis. We highlight the EEG features that predict abnormal outcome and DRE.

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