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Scalp Ripples Can Predict Development of Epilepsy After First Unprovoked Seizure in Childhood
Author(s) -
Klotz Kerstin A.,
Sag Yusuf,
Schönberger Jan,
Jacobs Julia
Publication year - 2021
Publication title -
annals of neurology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.764
H-Index - 296
eISSN - 1531-8249
pISSN - 0364-5134
DOI - 10.1002/ana.25939
Subject(s) - epilepsy , epileptogenesis , ictal , receiver operating characteristic , scalp , electroencephalography , medicine , audiology , childhood absence epilepsy , confidence interval , area under the curve , anesthesia , cardiology , pediatrics , surgery , psychiatry
Objective Identification of children at risk of developing epilepsy after a first unprovoked seizure can be challenging. Interictal epileptiform discharges are associated with higher risk but have limited sensitivity and specificity. High frequency oscillations (HFOs) are newer biomarkers for epileptogenesis. We prospectively evaluated the predictive value of HFOs for developing epilepsy in scalp electroencephalogram (EEG) of children after a first unprovoked seizure. Methods After their first seizure, 56 children were followed prospectively over 12 months and then grouped in “epilepsy” or “no epilepsy.” Initial EEGs were visually analyzed for spikes, spike ripples, and ripples. Inter‐group comparisons of spike‐rates and HFO‐rates were done by Mann–Whitney U test. Predictive values and optimal thresholds were calculated by receiver operating characteristic (ROC) curves. Results In the epilepsy group (n = 26, 46%), mean rates of ripples (0.3 vs 0.09 / minute, p < 0.0001) and spike ripples (0.6 vs 0.06 / minute, p < 0.05) were significantly higher, with no difference in spike rates (1.7 vs 3.0 / minute, p = 0.38). Of those 3 markers, ripples showed the best predictive value (area under the curve [AUC] ripples = 0.88). The optimal threshold for ripples was calculated to be ≥ 0.125 / minute with a sensitivity of 87% and specificity of 85%. Ripple rates were negatively correlated to days passing before epilepsy‐diagnosis (R = −0.59, p < 0.0001) and time to a second seizure (R = −0.64, 95% confidence interval [CI] = −0.77 to 0.43, p < 0.0001). Interpretation We could show that in a cohort of children with a first unprovoked seizure, ripples predict the development of epilepsy better than spikes or spike ripples and might be useful biomarkers in the estimation of prognosis and question of treatment. ANN NEUROL 2021;89:134–142