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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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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. |
format | Online Article Text |
id | pubmed-7599013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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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