Among comatose patients resuscitated from cardiac arrest, non-convulsive seizures
and other electroencephalographic (EEG) patterns on the ictal-interictal spectrum
are common [
[1]
]. Seizures may result in secondary brain injury [
[2]
]. Moreover, although studies have not been performed specifically in the post-arrest
population, time to antiepileptic drug therapy is generally considered an important
predictor of whether seizures are ultimately controlled [
[3]
]. Early detection of status epilepticus or other potentially injurious EEG patterns
may facilitate the delivery of time-sensitive treatments and improve recovery. In
parallel, many abnormal EEG patterns have prognostic significance and strongly predict
outcome after cardiac arrest [
14
,
5
]. Thus, early detection of these findings might also inform patient triage and early
goals of care discussions with surrogates.To read this article in full you will need to make a payment
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References
- Frequency and timing of nonconvulsive status epilepticus in comatose post-cardiac arrest subjects treated with hypothermia.Neurocrit Care. 2012; 16: 114-122
- The brain after cardiac arrest.Semin Neurol. 2017; 37: 19-24
- Emergency neurological life support: status epilepticus.Neurocrit Care. 2017; 27 (Sep): 152-158
- Clinically distinct electroencephalographic phenotypes of early myoclonus after cardiac arrest.Ann Neurol. 2016; 80: 175-184
- Group-based trajectory modeling of suppression ratio after cardiac arrest.Neurocrit Care. 2016; 25: 415-423
- The validation of simplified EEG derived from the bistpectral index monitor in post-cardiac arrest patients.Resuscitation. 2018; 126: 179-184
- Feasibility of bistpectral index monitoring to guide early post-resuscitation cardiac arrest triage.Resuscitation. 2014; 85: 1030-1036
- Prognostic EEG patterns in patients resuscitated from cardiac arrest with particular focus on Generalized Periodic Epileptiform Discharges (GPEDs).Neurophysiologie clinique = Clin Neurophysiol. 2014; 44: 153-164
- Epileptiform discharge detection with the 4-channel frontal electroencephalography during post-resuscitation care.Resuscitation. 2017; 117: 8-13
- Accuracy of limited-Montage electroencephalography in monitoring postanoxic comatose patients.Clin EEG Neurosci. 2017; 48: 422-427
- What makes a screening exam good?.Virtual Mentor: VM. 2006; 8 (Jan 1): 34-37
- Combination of initial neurologic examination and continuous EEG to predict survival after cardiac arrest.Resuscitation. 2015; 94: 73-79
- Combination of initial neurologic examination, quantitative brain imaging and electroencephalography to predict outcome after cardiac arrest.Resuscitation. 2017; 110: 120-125
- The prognostic value of continuous amplitude-integrated electronencephalogram applied immediately after return of spontaneous circulation in therapeutic hypothermia-treated cardiac arrest pateints.Resuscitation. 2013; 84: 200-205
- Continuous electroencephalography monitoring for early prediction of neurologic outcome in postanoxic patients after cardiac arrest: a prospective cohort study.Crit Care Med. 2012; 40: 2867-2875
- Detection of electrographic seizures with continuous EEG monitoring in critically ill patients.Neurology. 2004; 62 (May 25): 1743-1748
Article info
Publication history
Published online: February 23, 2018
Accepted:
February 19,
2018
Received:
February 18,
2018
Identification
Copyright
© 2018 Elsevier B.V. All rights reserved.
