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Multicenter Study
. 2019 Mar:136:138-145.
doi: 10.1016/j.resuscitation.2018.11.022. Epub 2018 Dec 23.

Differential association of subtypes of epileptiform activity with outcome after cardiac arrest

Affiliations
Multicenter Study

Differential association of subtypes of epileptiform activity with outcome after cardiac arrest

John Faro et al. Resuscitation. 2019 Mar.

Abstract

Background: Epileptiform activity is common after cardiac arrest, although intensity of electroencephalographic (EEG) monitoring may affect detection rates. Prior work has grouped these patterns together as "malignant," without considering discrete subtypes. We describe the incidence of distinct patterns in the ictal-interictal spectrum at two centers and their association with outcomes.

Methods: We analyzed a retrospective cohort of comatose post-arrest patients admitted at two academic centers from January 2011 to October 2014. One center uses routine continuous EEG, the other acquires "spot" EEG at the treating physicians' discretion. We reviewed all available EEG data and classified epileptiform patterns. We abstracted antiepileptic drugs (AEDs) administrations from the electronic medical record. We compared apparent incidence of each pattern between centers, and compared outcomes (awakening from coma, survival to discharge, discharge modified Rankin Scale (mRS) 0-2) across EEG patterns and number of AEDs administered.

Results: We included 818 patients. Routine continuous EEG was associated with a higher apparent incidence of polyspike burst-suppression (25% vs 13% P < 0.001). Frequency of other epileptiform findings did not differ. Among patients with any epileptiform pattern, only 2/258 (1%, 95%CI 0-3%) were discharged with mRS 0-2, although 24/258 (9%, 95%CI 6-14%) awakened and 36/258 (14%, 95%CI 10-19%) survived. The proportions that awakened and survived decreased in a stepwise manner with progressively worse EEG patterns (range 38% to 2% and 32% to 7%, respectively). Among patients receiving ≥3 AEDs, only 5/80 (6%, 95%CI 2-14%) awakened and 1/80 (1%, 95%CI 0-7%) had a mRS 0-2.

Conclusion: We found high rates of epileptiform EEG findings, regardless of intensity of EEG monitoring. The association of distinct ictal-interictal EEG findings with outcome was variable.

Keywords: Anticonvulsant; Antiepileptic; Brain injury; Cardiac arrest; Electroencephalography; Outcome; Seizure.

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Figures

Figure 1:
Figure 1:
The rate at which patterns on the ictal-interictal spectrum are detected differs by monitoring strategy, however the association of these patterns with outcomes does not.
Figure 2:
Figure 2:
Electroencephalographic monitoring strategy is associated with the total number of antiepileptic drugs (AEDs) administered. Patients receiving more AEDs experienced worse outcomes.

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