Quantitative EEG and Functional Outcome Following Acute Ischemic Stroke

Detalhes bibliográficos
Autor(a) principal: Bentes, C
Data de Publicação: 2018
Outros Autores: 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
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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spelling 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
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