An exploratory analysis of ACNS electroencephalography patterns in 34 comatose patients after in-hospital cardiopulmonary resuscitation.

Background: This study aims to evaluate the prognostic value of electroencephalogram (EEG) patterns in comatose patients after in-hospital adult cardiopulmonary resuscitation (CPR). Methods: Clinical and EEG data were retrospectively collected from 34 patients who underwent in-hospital CPR. The EEG data were classified into seven patterns according to the terminology defined by the 2021 American Clinical Neurophysiology Society (ACNS). All patients were further categorized into distinct groups based on their EEG characteristics, including background frequency and EEG categorization. The outcome of patients at discharge was assessed using the Glasgow Outcome Score (GOS) as 1-2 (poor) or 3-5 (good). Baseline characteristics and EEG patterns were compared between the outcome groups. Receiver operating characteristic (ROC) analysis was used to evaluate the predictive performance of the EEG background frequency and EEG categorization. Differences in the area under the curve (AUC) were compared using the DeLong test. Results: This study included 34 patients who underwent in-hospital CPR. Patients with poor outcomes had lower GCS scores [3.0 (interquartile range, 3.0-4.0) vs. 6.0 (interquartile range, 3.0-7.0), Conclusion: The 2021 version of the ACNS standardized terminology to analyze EEG patterns is useful for predicting the prognosis of comatose patients following CPR. Our preliminary findings suggest a potential association between EEG patterns and neurological outcomes, although this finding requires further validation in larger prospective studies.