Prognostic significance of specific EEG patterns after cardiac arrest in a Lisbon Cohort

Autor: Beatriz Guedes, Manuel Manita, Ana Rita Peralta, Ana Catarina Franco, Luís Bento, Carla Bentes
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Clinical Neurophysiology Practice, Vol 5, Iss , Pp 147-151 (2020)
Druh dokumentu: article
ISSN: 2467-981X
DOI: 10.1016/j.cnp.2020.07.001
Popis: Objective: To evaluate if EEG patterns considered highly malignant are reliable predictors not only of poor neurological outcome but also reliable predictors of death. Methods: Retrospectively, EEGs from Cardiac Arrest (CA) patients of two teaching hospitals in Lisbon were classified into 3 groups: highly malignant, malignant, and benign groups. Outcome was assessed at 6 months after CA by CPC (Cerebral Performance Categories) scale. We evaluated the accuracy of these patterns to predict poor neurological outcome and death. Results: We included 106 patients for analysis. All patients with a highly malignant EEG (n = 37) presented a poor neurological outcome. Those patterns were also associated with death. Malignant EEG patterns were not associated with poor neurological outcome. Benign EEG patterns were associated with good neurological recovery (p
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