Key result
Time-domain magnitude and entropy measures of EEG correlated with the change of carotid blood flow during cardiopulmonary resuscitation in a swine model.
Why the study?
Monitoring cerebral circulation during CPR is essential to improve prognosis and quality of life, motivating the evaluation of non-invasive EEG parameters as predictors of cerebral resuscitation.
Do non-invasive EEG parameters correlate with the recovery of carotid blood flow during CPR in a ventricular fibrillation swine model?
Do non-invasive EEG parameters correlate with the recovery of carotid blood flow during CPR in a ventricular fibrillation swine model?
Time-domain magnitude and entropy measures of EEG correlate with carotid blood flow recovery during CPR in a swine model, suggesting potential as markers of cerebral circulation.
Answers are grounded in this paper and cite their sources.
EEG parameters feasible for cerebral monitoring in VF swine CPR; leaves open human translation and outcome prediction.
Monitoring cerebral circulation during cardiopulmonary resuscitation (CPR) is essential to improve patients' prognosis and quality of life. We assessed the feasibility of non-invasive electroencephalography (EEG) parameters as predictive factors of cerebral resuscitation in a ventricular fibrillation (VF) swine model. After 1 min untreated VF, four cycles of basic life support were performed and the first defibrillation was administered. Sustained return of spontaneous circulation (ROSC) was confirmed if a palpable pulse persisted for 20 min. Otherwise, one cycle of advanced cardiovascular life support (ACLS) and defibrillation were administered immediately. Successfully defibrillated animals were continuously monitored. If sustained ROSC was not achieved, another cycle of ACLS was administered. Non-ROSC was confirmed when sustained ROSC did not occur after 10 ACLS cycles. EEG and hemodynamic parameters were measured during experiments. Data measured for approximately 3 s right before the defibrillation attempts were analyzed to investigate the relationship between the recovery of carotid blood flow (CBF) and non-invasive EEG parameters, including time- and frequency-domain parameters and entropy indices. We found that time-domain magnitude and entropy measures of EEG correlated with the change of CBF. Further studies are warranted to evaluate these EEG parameters as potential markers of cerebral circulation during CPR.
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Kim et al. (2020) studied Cardiac arrest (ventricular fibrillation). Non-invasive electroencephalography (EEG) parameters was evaluated on Relationship between the recovery of carotid blood flow and non-invasive EEG parameters. Time-domain magnitude and entropy measures of EEG correlated with the change of carotid blood flow during cardiopulmonary resuscitation in a swine model.
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