Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke
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/10400.17/3535 |
Resumo: | Objective: To identify the most accurate quantitative electroencephalographic (qEEG) predictor(s) of unfavorable post-ischemic stroke outcome, and its discriminative capacity compared to already known demographic, clinical and imaging prognostic markers. Methods: Prospective cohort of 151 consecutive anterior circulation ischemic stroke patients followed for 12 months. EEG was recorded within 72 h and at discharge or 7 days post-stroke. QEEG (global band power, symmetry, affected/unaffected hemisphere and time changes) indices were calculated from mean Fast Fourier Transform and analyzed as predictors of unfavorable outcome (mRS ≥ 3), at discharge and 12 months poststroke, before and after adjustment for age, admission NIHSS and ASPECTS. Results: Higher delta, lower alpha and beta relative powers (RP) predicted outcome. Indices with higher discriminative capacity were delta-theta to alpha-beta ratio (DTABR) and alpha RP. Outcome models including either of these and other clinical/imaging stroke outcome predictors were superior to models without qEEG data. In models with qEEG indices, infarct size was not a significant outcome predictor. Conclusions: DTAABR and alpha RP are the best qEEG indices and superior to ASPECTS in post-stroke outcome prediction. They improve the discriminative capacity of already known clinical and imaging stroke outcome predictors, both at discharge and 12 months after stroke. Significance: qEEG indices are independent predictors of stroke outcome. |
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Quantitative EEG and Functional Outcome Following Acute Ischemic StrokeAgedBrain IschemiaBrain WavesCohort StudiesElectroencephalographyFemaleHumansLongitudinal StudiesMaleMiddle AgedProspective StudiesRecovery of FunctionStrokeTreatment OutcomeHSJ MEDObjective: To identify the most accurate quantitative electroencephalographic (qEEG) predictor(s) of unfavorable post-ischemic stroke outcome, and its discriminative capacity compared to already known demographic, clinical and imaging prognostic markers. Methods: Prospective cohort of 151 consecutive anterior circulation ischemic stroke patients followed for 12 months. EEG was recorded within 72 h and at discharge or 7 days post-stroke. QEEG (global band power, symmetry, affected/unaffected hemisphere and time changes) indices were calculated from mean Fast Fourier Transform and analyzed as predictors of unfavorable outcome (mRS ≥ 3), at discharge and 12 months poststroke, before and after adjustment for age, admission NIHSS and ASPECTS. Results: Higher delta, lower alpha and beta relative powers (RP) predicted outcome. Indices with higher discriminative capacity were delta-theta to alpha-beta ratio (DTABR) and alpha RP. Outcome models including either of these and other clinical/imaging stroke outcome predictors were superior to models without qEEG data. In models with qEEG indices, infarct size was not a significant outcome predictor. Conclusions: DTAABR and alpha RP are the best qEEG indices and superior to ASPECTS in post-stroke outcome prediction. They improve the discriminative capacity of already known clinical and imaging stroke outcome predictors, both at discharge and 12 months after stroke. Significance: qEEG indices are independent predictors of stroke outcome.ElsevierRepositório do Centro Hospitalar Universitário de Lisboa Central, EPEBentes, CPeralta, ARViana, PMartins, HMorgado, CCasimiro, CFranco, ACFonseca, ACGeraldes, RCanhão, PPinho e Melo, TPaiva, TFerro, JM2020-12-15T16:19:47Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.17/3535engClin Neurophysiol. 2018 Aug;129(8):1680-1687.10.1016/j.clinph.2018.05.021info: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:RCAAP2023-03-10T09:43:28Zoai:repositorio.chlc.min-saude.pt:10400.17/3535Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:20:50.781371Repositório 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 |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
title |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
spellingShingle |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke Bentes, C Aged Brain Ischemia Brain Waves Cohort Studies Electroencephalography Female Humans Longitudinal Studies Male Middle Aged Prospective Studies Recovery of Function Stroke Treatment Outcome HSJ MED |
title_short |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
title_full |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
title_fullStr |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
title_full_unstemmed |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
title_sort |
Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke |
author |
Bentes, C |
author_facet |
Bentes, C Peralta, AR Viana, P Martins, H Morgado, C Casimiro, C Franco, AC Fonseca, AC Geraldes, R Canhão, P Pinho e Melo, T Paiva, T Ferro, JM |
author_role |
author |
author2 |
Peralta, AR Viana, P Martins, H Morgado, C Casimiro, C Franco, AC Fonseca, AC Geraldes, R Canhão, P Pinho e Melo, T Paiva, T Ferro, JM |
author2_role |
author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório do Centro Hospitalar Universitário de Lisboa Central, EPE |
dc.contributor.author.fl_str_mv |
Bentes, C Peralta, AR Viana, P Martins, H Morgado, C Casimiro, C Franco, AC Fonseca, AC Geraldes, R Canhão, P Pinho e Melo, T Paiva, T Ferro, JM |
dc.subject.por.fl_str_mv |
Aged Brain Ischemia Brain Waves Cohort Studies Electroencephalography Female Humans Longitudinal Studies Male Middle Aged Prospective Studies Recovery of Function Stroke Treatment Outcome HSJ MED |
topic |
Aged Brain Ischemia Brain Waves Cohort Studies Electroencephalography Female Humans Longitudinal Studies Male Middle Aged Prospective Studies Recovery of Function Stroke Treatment Outcome HSJ MED |
description |
Objective: To identify the most accurate quantitative electroencephalographic (qEEG) predictor(s) of unfavorable post-ischemic stroke outcome, and its discriminative capacity compared to already known demographic, clinical and imaging prognostic markers. Methods: Prospective cohort of 151 consecutive anterior circulation ischemic stroke patients followed for 12 months. EEG was recorded within 72 h and at discharge or 7 days post-stroke. QEEG (global band power, symmetry, affected/unaffected hemisphere and time changes) indices were calculated from mean Fast Fourier Transform and analyzed as predictors of unfavorable outcome (mRS ≥ 3), at discharge and 12 months poststroke, before and after adjustment for age, admission NIHSS and ASPECTS. Results: Higher delta, lower alpha and beta relative powers (RP) predicted outcome. Indices with higher discriminative capacity were delta-theta to alpha-beta ratio (DTABR) and alpha RP. Outcome models including either of these and other clinical/imaging stroke outcome predictors were superior to models without qEEG data. In models with qEEG indices, infarct size was not a significant outcome predictor. Conclusions: DTAABR and alpha RP are the best qEEG indices and superior to ASPECTS in post-stroke outcome prediction. They improve the discriminative capacity of already known clinical and imaging stroke outcome predictors, both at discharge and 12 months after stroke. Significance: qEEG indices are independent predictors of stroke outcome. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018 2018-01-01T00:00:00Z 2020-12-15T16:19:47Z |
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/10400.17/3535 |
url |
http://hdl.handle.net/10400.17/3535 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Clin Neurophysiol. 2018 Aug;129(8):1680-1687. 10.1016/j.clinph.2018.05.021 |
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 |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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1799131304773550080 |