Background frequency can enhance the prognostication power of EEG patterns categories in comatose cardiac arrest survivors: a prospective, multicenter, observational cohort study

Abstract Background We assessed the prognostic accuracy of the standardized electroencephalography (EEG) patterns (“highly malignant,” “malignant,” and “benign”) according to the EEG timing (early vs. late) and investigated the EEG features to enhance the predictive power for poor neurologic outcome...

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Autores principales:	Youn-Jung Kim, Min-Jee Kim, Yong Hwan Kim, Chun Song Youn, In Soo Cho, Su Jin Kim, Jung Hee Wee, Yoo Seok Park, Joo Suk Oh, Dong Hoon Lee, Won Young Kim, the Korean Hypothermia Network Investigators
Formato:	article
Lenguaje:	EN
Publicado:	BMC 2021
Materias:	Out-of-hospital cardiac arrest Electroencephalography Prognosis Neurologic outcome Targeted temperature management Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Acceso en línea:	https://doaj.org/article/afae384b69b9478f949c82f3bd5336df
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Background frequency can enhance the prognostication power of EEG patterns categories in comatose cardiac arrest survivors: a prospective, multicenter, observational cohort study

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