Prognostic value of electroencephalography pattern in prediction of survival and early myoclonus after cardiac arrest | ||||
| Journal of Current Medical Research and Practice | ||||
| Volume 5, Issue 3, July 2020, Page 316-321 PDF (393.68 K) | ||||
| DOI: 10.4103/JCMRP.JCMRP_12_20 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Silvana M. Nageeb; Hamdy N.A. El Tallawy; Khaled A. Elmaghraby ; Reda Badry
| ||||
| Abstract | ||||
| 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 ( = 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. | ||||
| Keywords | ||||
| Cardiac Arrest; Electroencephalography; hypoxic ischemic injury; Myoclonus | ||||
|
Statistics Article View: 51 PDF Download: 22 |
||||
