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Semiological seizure classification: before and after video-EEG monitoring of seizures
Tugba Hirfanoglu1, Ayse Serdaroglu, Ali Cansu
1Department of Pediatric Neurology, Faculty of Medicine, Gazi University, Ankara, Turkey. tluleci13@yahoo.com <tluleci13@yahoo.com>
Insights
Semiological seizure classification is reliable for outpatient epilepsy diagnosis in children. While some seizure types show high consistency, refining classification for specific components can improve accuracy.
Area of Science:
- Neurology
- Pediatric Epilepsy
Background:
- Accurate seizure classification is crucial for effective epilepsy management in children.
- Semiological classification, based on observable seizure manifestations, is a key diagnostic tool.
Purpose of the Study:
- To evaluate the reliability and applicability of semiological seizure classification in pediatric epilepsy patients within outpatient settings.
- To compare classification based on parental history versus video electroencephalogram (EEG) monitoring.
Main Methods:
- Ninety children (2-16 years) with epilepsy underwent prolonged video-EEG monitoring.
- Semiological seizure classification was performed using parental history and then video-EEG data.
- Kappa statistics were employed to assess inter-rater reliability between the two classification methods.
Main Results:
- Classification based on history and video-EEG showed differing distributions for seizure types.
- Excellent consistency was observed for negative myoclonic and hypermotor seizures (kappa=1 and 0.85, respectively).
- Lower consistency was found for somatosensory aura and automotor seizures (kappa=0.26 and 0.28, respectively).
Conclusions:
- Semiological seizure classification is a reliable and applicable method for routine outpatient pediatric epilepsy care.
- Refining the classification for specific seizure components (e.g., tonic, clonic, automotor) may enhance diagnostic accuracy.
- Parental descriptions of seizures are generally accurate and valuable in the diagnostic process.
Abstract:
The study objective was to assess the applicability and reliability of the semiological seizure classification in children with epilepsy in outpatient clinics. Ninety patients (age range, 2-16 years) who experienced clinical seizures during prolonged video-electroencephalogram (EEG) monitoring were evaluated. Semiological seizure classification was performed, first based on history obtained from parents of the patient during outpatient follow-up visits and then based on video EEG-monitoring. Kappa statistics (kappa) were used to evaluate the consistency of the two rounds of semiological seizure classification. Classification based on history yielded the following distribution: simple motor seizures (66.3%), aura (28%), complex motor seizures (15.8%), special seizures (15.8%), dialeptic seizures (9.3%), and autonomic seizures (3.7%). Classification based on video EEG-monitoring yielded a different distribution: simple motor seizures (55.7%), complex motor seizures (26.9%), automotor seizures (26.9%), aura (23%), dialeptic seizures (22.1%), special seizures (9.6%), and autonomic seizures (1.9%). Negative myoclonic seizures (kappa = 1, P = 0.000) and hypermotor seizures (kappa = 0.85, P = 0.000) had excellent consistency; somatosensory aura (kappa = 0.26, P = 0.012) and automotor seizures (kappa = 0.28, P = 0.004) had the lowest consistency. The families or doctors often defined simple motor seizures (decrease of 10.6% from before to after monitoring, kappa = 0.44); the proportion of complex motor seizures changed rather from before to after monitoring (11.1%, kappa = 0.33). Generally, parents can describe seizures quite well. We suggest that semiological seizure classification is a reliable method applicable for everyday use during outpatient visits, especially if seizure semiology is evaluated individually for each component or if the semiological seizure classification is modified or refined for some seizure components (tonic, clonic, versive, conscious, automotor seizures).
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