Prognostic value of electroencephalography pattern in prediction of survival and early myoclonus after cardiac arrest
Journal of Current Medical Research and Practice(2020)
摘要
Background Evolution of the electroencephalography (EEG) background pattern is a robust contributor to the prediction of poor or good outcome of comatose patients after cardiac arrest (CA). Aim The aim of the study was to use EEG as a prognostic tool for the prediction of survival after CA and the incidence of early postanoxic myoclonus. Patients and methods We enrolled 40 patients, post-CA. A 30-min EEG was performed on all patients, as soon as possible after the patients had arrived in the ICU using a portable EEG. Results Out of the 40 patients studied, 29 (72.5%) were alive while 11 (27.5%) patients were dead: Regarding patterns of EEG, 86.2% of alive patients had a benign pattern, while 63.6% of dead patients had a highly malignant pattern. Regarding the cerebral performance category (CPC), 79.3% of alive patients had cerebral performance grade 1 (CPC 1) while 54.5% of dead patients had CPC 4. Frequency of seizures after resuscitation was significantly higher in dead patients (45.5%) versus 17.2% in alive patients (P = 0.03). Conclusion Benign EEG patterns and CPC 1 and CPC 2 were correlated to good outcome in patients post-CA in comparison to malignant EEG pattern and CPC 3 and CPC 4, respectively. Presence of early posthypoxic myoclonus had been invariably related to poor outcome.
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