The effect of sedation and time after cardiac arrest on coma outcome prognostication based on EEG power spectra

Abstract

Early prognostication of long-term outcome of comatose patients after cardiac arrest remains challenging. Electroencephalography-based power spectra after cardiac arrest have been shown to help with the identification of patients with favorable outcome during the first day of coma. Here, we aim at comparing the power spectra prognostic value during the first and second day after coma onset following cardiac arrest, and to investigate the impact of sedation on prognostication. In this cohort observational study, we included comatose patients (N=91) after cardiac arrest for whom resting-state electroencephalography was collected on the first and second day after cardiac arrest in four Swiss hospitals. We evaluated if the average power spectra values at 4.6-15.2 Hz were predictive of patients’ outcome based on the best cerebral performance category score at three months, with scores ranging from one to five and dichotomized as favorable (one to two) and unfavorable (three to five). We assessed the effect of sedation and its interaction with the electroencephalography-based power spectra on patient outcome prediction through a generalized linear mixed model. Power spectra values provided 100% positive predictive value (95% confidence intervals: 0.81-1.00) on the first day of coma, with correctly predicted 18 out of 45 favorable outcome patients. On the second day, power spectra values were not predictive of patients’ outcome (positive predictive value: 0.46, 95% confidence intervals: 0.19-0.75). On the first day, we did not find evidence of any significant contribution of sedative infusion rates to the patient outcome prediction (p>0.05). Comatose patients’ outcome prediction based on electroencephalographic power spectra is higher on the first compared to the second day after cardiac arrest. Sedation does not appear to impact patient outcome prediction.