Early EEG predicts poststroke epilepsy
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/45656 |
Resumo: | ©2018 The Authors. Epilepsia Open published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
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Early EEG predicts poststroke epilepsyEEGEpileptic seizuresIschemic strokePrediction©2018 The Authors. Epilepsia Open published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.Objective: Electroencephalography (EEG) can identify biomarkers of epileptogenesis and ictogenesis. However, few studies have used EEG in the prediction of poststroke seizures. Our primary aim was to evaluate whether early EEG abnormalities can predict poststroke epilepsy. Methods: A prospective study of consecutive acute anterior circulation ischemic stroke patients, without previous epileptic seizures, who were admitted to a stroke unit over 24 months and followed for 1 year. All patients underwent standardized clinical and diagnostic assessment during the hospital stay and after discharge. Video-EEG was performed in the first 72 h (first EEG), daily for the first 7 days, in case of neurological deterioration, at discharge, and at 12 months after stroke. The occurrence of epileptic seizures in the first year after stroke (primary outcome) was evaluated clinically and neurophysiologically during the hospital stay and at 12 months. A telephone interview was also performed at 6 months. The primary outcome was the occurrence of at least one unprovoked seizure (poststroke epilepsy). Secondary outcomes were the occurrence of at least one acute symptomatic seizure and (interictal and/or ictal) epileptiform activity on at least one EEG during the hospital stay for acute stroke. The first EEG variables were defined using international criteria/terminology. Bivariate and multivariate analyses with adjustment for age, admission National Institutes of Health Stroke Scale (NIHSS) score, and Alberta Stroke Program Early CT Score (ASPECTS) were performed. Results: A total of 151 patients were included; 38 patients (25.2%) had an acute symptomatic seizure and 23 (16%) had an unprovoked seizure.The first EEG background activity asymmetry and first EEG with interictal epileptiform activity were independent predictors of poststroke epilepsy during the first year after stroke (P = 0.043 and P = 0.043, respectively). No EEG abnormality independently predicted acute symptomatic seizures. However, the presence of periodic discharges on the first EEG was an independent predictor of epileptiform activity (p = 0.009) during the hospital stay. Significance: An early poststroke EEG can predict epilepsy in the first year after stroke, independently from clinical and imaging-based infarct severity.The 2012 Research Grant in Cerebrovascular Diseases (scientific promoter: Stroke Portuguese Society (SPAVC) – Sponsor: Tecnifar) supported this work.John Wiley & Sons, Inc.Repositório da Universidade de LisboaBentes, CarlaMartins, HugoPeralta, Ana RitaMorgado, CarlosCasimiro, CarlosFranco, Ana CatarinaFonseca, Ana CatarinaGeraldes, RuthCanhão, PatríciaMelo, Teresa Pinho ePaiva, TeresaFerro, José2021-01-05T13:46:55Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/45656engEpilepsia Open. 2018 Mar 7;3(2):203-2122470-923910.1002/epi4.12103info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-20T18:02:02Zoai:repositorio.ul.pt:10451/45656Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T18:02:02Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Early EEG predicts poststroke epilepsy |
title |
Early EEG predicts poststroke epilepsy |
spellingShingle |
Early EEG predicts poststroke epilepsy Bentes, Carla EEG Epileptic seizures Ischemic stroke Prediction |
title_short |
Early EEG predicts poststroke epilepsy |
title_full |
Early EEG predicts poststroke epilepsy |
title_fullStr |
Early EEG predicts poststroke epilepsy |
title_full_unstemmed |
Early EEG predicts poststroke epilepsy |
title_sort |
Early EEG predicts poststroke epilepsy |
author |
Bentes, Carla |
author_facet |
Bentes, Carla Martins, Hugo Peralta, Ana Rita Morgado, Carlos Casimiro, Carlos Franco, Ana Catarina Fonseca, Ana Catarina Geraldes, Ruth Canhão, Patrícia Melo, Teresa Pinho e Paiva, Teresa Ferro, José |
author_role |
author |
author2 |
Martins, Hugo Peralta, Ana Rita Morgado, Carlos Casimiro, Carlos Franco, Ana Catarina Fonseca, Ana Catarina Geraldes, Ruth Canhão, Patrícia Melo, Teresa Pinho e Paiva, Teresa Ferro, José |
author2_role |
author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Bentes, Carla Martins, Hugo Peralta, Ana Rita Morgado, Carlos Casimiro, Carlos Franco, Ana Catarina Fonseca, Ana Catarina Geraldes, Ruth Canhão, Patrícia Melo, Teresa Pinho e Paiva, Teresa Ferro, José |
dc.subject.por.fl_str_mv |
EEG Epileptic seizures Ischemic stroke Prediction |
topic |
EEG Epileptic seizures Ischemic stroke Prediction |
description |
©2018 The Authors. Epilepsia Open published by Wiley Periodicals Inc. on behalf of International League Against Epilepsy. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2021-01-05T13:46:55Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/45656 |
url |
http://hdl.handle.net/10451/45656 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Epilepsia Open. 2018 Mar 7;3(2):203-212 2470-9239 10.1002/epi4.12103 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
John Wiley & Sons, Inc. |
publisher.none.fl_str_mv |
John Wiley & Sons, Inc. |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817549116287221760 |