Literature DB >> 17437905

Semiological seizure classification: before and after video-EEG monitoring of seizures.

Tugba Hirfanoglu1, Ayse Serdaroglu, Ali Cansu, Erhan Bilir, Kivilcim Gucuyener.   

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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Year:  2007        PMID: 17437905     DOI: 10.1016/j.pediatrneurol.2006.12.002

Source DB:  PubMed          Journal:  Pediatr Neurol        ISSN: 0887-8994            Impact factor:   3.372


  5 in total

1.  Probabilistic landscape of seizure semiology localizing values.

Authors:  Ali Alim-Marvasti; Gloria Romagnoli; Karan Dahele; Hadi Modarres; Fernando Pérez-García; Rachel Sparks; Sébastien Ourselin; Matthew J Clarkson; Fahmida Chowdhury; Beate Diehl; John S Duncan
Journal:  Brain Commun       Date:  2022-05-19

2.  Assessment of the Predictive Value of Outpatient Smartphone Videos for Diagnosis of Epileptic Seizures.

Authors:  William O Tatum; Lawrence J Hirsch; Michael A Gelfand; Emily K Acton; W Curt LaFrance; Robert B Duckrow; David K Chen; Andrew S Blum; John D Hixson; Joe F Drazkowski; Selim R Benbadis; Gregory D Cascino
Journal:  JAMA Neurol       Date:  2020-05-01       Impact factor: 18.302

3.  Using a structured questionnaire improves seizure description by medical students.

Authors:  Saher Kapadia; Hemang Shah; Nancy McNair; J Ned Pruitt; Anthony Murro; Yong Park
Journal:  Int J Med Educ       Date:  2016-01-10

4.  Investigation of patient and observer agreement on description of seizures at initial clinical visit.

Authors:  Maha N Saleem; Christopher A Arencibia; Kevin McKenna; Sabrina Cristofaro; Kamil Detyniecki; Daniel Friedman; Jacqueline French; Hal Blumenfeld
Journal:  Ann Clin Transl Neurol       Date:  2019-12-05       Impact factor: 4.511

Review 5.  Calibration of the Epilepsy Questionnaire for Use in a Low-Resource Setting.

Authors:  Joseph O Yaria; Adesola Ogunniyi
Journal:  J Environ Public Health       Date:  2020-08-31
  5 in total

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