Quantitative EEG and functional outcome following acute ischemic stroke.
Clin Neurophysiol
; 129(8): 1680-1687, 2018 08.
Article
en En
| MEDLINE
| ID: mdl-29935475
ABSTRACT
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 12â¯months. EEG was recorded within 72â¯h and at discharge or 7â¯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 (mRSâ¯≥â¯3), at discharge and 12â¯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 12â¯months after stroke.SIGNIFICANCE:
qEEG indices are independent predictors of stroke outcome.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Isquemia Encefálica
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Recuperación de la Función
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Accidente Cerebrovascular
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Electroencefalografía
Tipo de estudio:
Diagnostic_studies
/
Etiology_studies
/
Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
/
Middle aged
Idioma:
En
Revista:
Clin Neurophysiol
Asunto de la revista:
NEUROLOGIA
/
PSICOFISIOLOGIA
Año:
2018
Tipo del documento:
Article