The Turkish Journal of Pediatrics 2015 , Vol 57 , Num 4
Semiological seizure classification of epileptic seizures in children admitted to video-EEG monitoring unit
1Department of Pediatrics, Hacettepe University Faculty of Medicine, Ankara, Turkey
2Division of Pediatric Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
3Departments of Radiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
4Department ofNuclear Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey
5Department ofPathology, Hacettepe University Faculty of Medicine, Ankara, Turkey
6Department of Neurosurgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
Alan S, Yalnızoğlu D, Turanlı G, Karlı-Oğuz K, Lay-Ergun E, Söylemezoğlu F, Akalan N, Topçu M. Semiological seizure classification of epileptic seizures in children admitted to video-EEG monitoring unit. Turk J Pediatr 2015; 57: 317-323.

We aimed to determine seizure characteristics of pediatric patients with epilepsy, and evaluate if Semiological Seizure Classification (SSC) system is applicable in this cohort.

We retrospectively studied 183 patients, aged between 3 months-18 years, admitted to the video-EEG monitoring unit (VEMU). Most patients suffered from intractable epilepsy with comorbidities, and had structural lesions. Seizures were classified based on ictal video-EEG recordings by using SSC system; 157 patients had only one seizure type, 26 had more than one seizure types. Overall 211 seizures and 373 semiologies were analyzed; 114 seizures (54%) had more than one semiological subtype. The most frequent semiology was motor seizures (78%), followed by dialeptic seizures (12%). The most common subtypes were simple motor seizures (49%); tonic seizures constituted (28.4%) of all semiologies.

We conclude that SSC system is applicable for children with epilepsy admitted to VEMU; complementary EEG and imaging data are required for evaluation of patients with epilepsy. Keywords : semiologic seizure classification, epilepsy, children, video-EEG monitoring.

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