Characteristics and role in outcome prediction of continuous EEG after status epilepticus: A prospective observational cohort.

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Version: Author's accepted manuscript
Serval ID
serval:BIB_D34C3A8DF582
Type
Article: article from journal or magazin.
Collection
Publications
Title
Characteristics and role in outcome prediction of continuous EEG after status epilepticus: A prospective observational cohort.
Journal
Epilepsia
Author(s)
Alvarez V., Drislane F.W., Westover M.B., Dworetzky B.A., Lee J.W.
ISSN
1528-1167 (Electronic)
ISSN-L
0013-9580
Publication state
Published
Issued date
2015
Peer-reviewed
Oui
Volume
56
Number
6
Pages
933-941
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Abstract
OBJECTIVE: Continuous electroencephalography (cEEG) is important for treatment guidance in status epilepticus (SE) management, but its role in clinical outcome prediction is unclear. Our aim is to determine which cEEG features give independent outcome information after correction for clinical predictor.
METHODS: cEEG data of 120 consecutive adult patients with SE were prospectively collected in three academic medical centers using the 2012 American Clinical Neurophysiology Society's Standardized Critical Care EEG Terminology. Association between cEEG features and two clinical outcome measures (mortality and complete recovery) was assessed.
RESULTS: In the first 24 h of EEG recording, 49 patients (40.8%) showed no periodic or rhythmic pattern, 45 (37.5%) had periodic discharges, 20 (16.7%) had rhythmic delta activity, and 6 (5%) had spike-and-wave discharges. Seizures were recorded in 68.3% of patients. After adjusting for known clinical predictive factors for mortality including the STatus Epilepticus Severity Score (STESS) and the presence of a potentially fatal etiology, the only EEG features (among rhythmic and periodic patterns, seizures, and background activity) that remained significantly associated with outcome were the absence of a posterior dominant rhythm (odds ratio [OR] 9.8; p = 0.033) for mortality and changes in stage II sleep pattern characteristics (OR 2.59 for each step up among these categories: absent, present and abnormal, present and normal; p = 0.002) for complete recovery.
SIGNIFICANCE: After adjustment for relevant clinical findings, including SE severity and etiology, cEEG background information (posterior dominant rhythm and sleep patterns) is more predictive for clinical outcome after SE than are rhythmic and periodic patterns or seizures.
Keywords
Adult, Aged, Analysis of Variance, Brain Waves/physiology, Cohort Studies, Electroencephalography, Female, Functional Laterality/physiology, Humans, Male, Middle Aged, Observation, Periodicity, Predictive Value of Tests, Status Epilepticus/physiopathology
Pubmed
Open Access
Yes
Create date
10/05/2016 21:36
Last modification date
20/08/2019 16:53
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