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Study of electroencephalography in people with generalized epilepsy in a Saudi population

BACKGROUND: Electroencephalography (EEG) remains a vital tool in the diagnostic evaluation of patients with epilepsy (GE), however, there is scarcity of information on the yield and potential clinical variables that are associated with EEG abnormalities in people with GE. OBJECTIVE: The study aimed...

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Autores principales: Owolabi, Lukman Femi, Reda, AbdulRazeq Ahmed, El Sayed, Raafat, Morsy, Dina Fares Mohamed, Enwere, Okezie Oguamanam, Mba, Uchechukwu Agbese, Adamu, Bappa, AlGhamdi, Mushabab
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599013/
https://www.ncbi.nlm.nih.gov/pubmed/33194127
http://dx.doi.org/10.1080/20009666.2020.1809255
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author Owolabi, Lukman Femi
Reda, AbdulRazeq Ahmed
El Sayed, Raafat
Morsy, Dina Fares Mohamed
Enwere, Okezie Oguamanam
Mba, Uchechukwu Agbese
Adamu, Bappa
AlGhamdi, Mushabab
author_facet Owolabi, Lukman Femi
Reda, AbdulRazeq Ahmed
El Sayed, Raafat
Morsy, Dina Fares Mohamed
Enwere, Okezie Oguamanam
Mba, Uchechukwu Agbese
Adamu, Bappa
AlGhamdi, Mushabab
author_sort Owolabi, Lukman Femi
collection PubMed
description BACKGROUND: Electroencephalography (EEG) remains a vital tool in the diagnostic evaluation of patients with epilepsy (GE), however, there is scarcity of information on the yield and potential clinical variables that are associated with EEG abnormalities in people with GE. OBJECTIVE: The study aimed to evaluate the yield and pattern of EEG abnormalities in patients with GE with the view to determining factors that are independently associated with abnormal EEG in them. METHODS: We characterized EEG features and evaluated associated factors in a sample of people with GE in a Saudi population. Standard definition of interictal epileptiform discharges was used. RESULTS: A total of 1105 (77%) out of 1436 GE patients had EEG. Five hundred and ninety-five (53.85%) patients had abnormal EEG. Factors associated with EEG abnormalities before adjustment for confounders were age, gender, duration of epilepsy, and seizure frequency. However, only frequency of seizure (P = 0.0018), gender (P < 0.0001), and age (P < 0.0001) were independently associated with EEG abnormalities. CONCLUSION: The study showed a modest yield (54%) of abnormal EEG in the cohort of patients with GE. Frequency of seizure, age, and gender, independently predicted the presence of EEG abnormality in people living with GE.
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spelling pubmed-75990132020-11-12 Study of electroencephalography in people with generalized epilepsy in a Saudi population Owolabi, Lukman Femi Reda, AbdulRazeq Ahmed El Sayed, Raafat Morsy, Dina Fares Mohamed Enwere, Okezie Oguamanam Mba, Uchechukwu Agbese Adamu, Bappa AlGhamdi, Mushabab J Community Hosp Intern Med Perspect Research Article BACKGROUND: Electroencephalography (EEG) remains a vital tool in the diagnostic evaluation of patients with epilepsy (GE), however, there is scarcity of information on the yield and potential clinical variables that are associated with EEG abnormalities in people with GE. OBJECTIVE: The study aimed to evaluate the yield and pattern of EEG abnormalities in patients with GE with the view to determining factors that are independently associated with abnormal EEG in them. METHODS: We characterized EEG features and evaluated associated factors in a sample of people with GE in a Saudi population. Standard definition of interictal epileptiform discharges was used. RESULTS: A total of 1105 (77%) out of 1436 GE patients had EEG. Five hundred and ninety-five (53.85%) patients had abnormal EEG. Factors associated with EEG abnormalities before adjustment for confounders were age, gender, duration of epilepsy, and seizure frequency. However, only frequency of seizure (P = 0.0018), gender (P < 0.0001), and age (P < 0.0001) were independently associated with EEG abnormalities. CONCLUSION: The study showed a modest yield (54%) of abnormal EEG in the cohort of patients with GE. Frequency of seizure, age, and gender, independently predicted the presence of EEG abnormality in people living with GE. Taylor & Francis 2020-10-29 /pmc/articles/PMC7599013/ /pubmed/33194127 http://dx.doi.org/10.1080/20009666.2020.1809255 Text en © 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Owolabi, Lukman Femi
Reda, AbdulRazeq Ahmed
El Sayed, Raafat
Morsy, Dina Fares Mohamed
Enwere, Okezie Oguamanam
Mba, Uchechukwu Agbese
Adamu, Bappa
AlGhamdi, Mushabab
Study of electroencephalography in people with generalized epilepsy in a Saudi population
title Study of electroencephalography in people with generalized epilepsy in a Saudi population
title_full Study of electroencephalography in people with generalized epilepsy in a Saudi population
title_fullStr Study of electroencephalography in people with generalized epilepsy in a Saudi population
title_full_unstemmed Study of electroencephalography in people with generalized epilepsy in a Saudi population
title_short Study of electroencephalography in people with generalized epilepsy in a Saudi population
title_sort study of electroencephalography in people with generalized epilepsy in a saudi population
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7599013/
https://www.ncbi.nlm.nih.gov/pubmed/33194127
http://dx.doi.org/10.1080/20009666.2020.1809255
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