EEG synchronization measures are early outcome predictors in comatose patients after cardiac arrest
نویسندگان
چکیده
منابع مشابه
Novel Early EEG Measures Predicting Brain Recovery after Cardiac Arrest
Kab-Mun Cha 1,* ID , Nitish V. Thakor 2 and Hyun-Chool Shin 3 1 Nuclear ICT Research Division, Korea Atomic Energy Research Institute, Daejeon 34057, Korea 2 Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA; [email protected] 3 Department of Electronic Engineering, Soongsil University, Seoul 06978, Korea; [email protected] * Correspondence: indie486@nave...
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OBJECTIVE The determination of coma patient prognosis after cardiac arrest has clinical, ethical and social implications. Neurological examination, imaging and biochemical markers are helpful tools accepted as reliable in predicting recovery. With the advent of therapeutic hypothermia, these data need to be reconfirmed. In this study, we attempted to determine the validity of different markers,...
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Visual analysis of electroencephalography (EEG) background and reactivity during therapeutic hypothermia provides important outcome information, but is time-consuming and not always consistent between reviewers. Automated EEG analysis may help quantify the brain damage. Forty-six comatose patients in therapeutic hypothermia, after cardiac arrest, were included in the study. EEG background was q...
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BACKGROUND AND PURPOSE Early assessment of the likelihood of neurological recovery in comatose cardiac arrest survivors remains challenging. We hypothesize that quantitative noncontrast computed tomography (NCCT) combined with neurological assessments, are predictive of outcome. METHODS We analyzed data sets acquired from comatose cardiac arrest patients who underwent CT within 72 hours of ar...
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ژورنال
عنوان ژورنال: Clinical Neurophysiology
سال: 2017
ISSN: 1388-2457
DOI: 10.1016/j.clinph.2017.01.020