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Published in: Neurocritical Care 3/2020

01-06-2020 | Stroke | Original work (Clinical Investigation, Basic Science)

Burden of Epileptiform Activity Predicts Discharge Neurologic Outcomes in Severe Acute Ischemic Stroke

Authors: Mohammad Tabaeizadeh, Hassan Aboul Nour, Maryum Shoukat, Haoqi Sun, Jing Jin, Farrukh Javed, Solomon Kassa, Muhammad Edhi, Elahe Bordbar, Justin Gallagher, Valdery Junior Moura, Manohar Ghanta, Yu-Ping Shao, Andrew J. Cole, Eric S. Rosenthal, M. Brandon Westover, Sahar F. Zafar

Published in: Neurocritical Care | Issue 3/2020

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Abstract

Background/Objectives

Clinical seizures following acute ischemic stroke (AIS) appear to contribute to worse neurologic outcomes. However, the effect of electrographic epileptiform abnormalities (EAs) more broadly is less clear. Here, we evaluate the impact of EAs, including electrographic seizures and periodic and rhythmic patterns, on outcomes in patients with AIS.

Methods

This is a retrospective study of all patients with AIS aged ≥ 18 years who underwent at least 18 h of continuous electroencephalogram (EEG) monitoring at a single center between 2012 and 2017. EAs were classified according to American Clinical Neurophysiology Society (ACNS) nomenclature and included seizures and periodic and rhythmic patterns. EA burden for each 24-h epoch was defined using the following cutoffs: EA presence, maximum daily burden < 10% versus > 10%, maximum daily burden < 50% versus > 50%, and maximum daily burden using categories from ACNS nomenclature (“rare” < 1%; “occasional” 1–9%; “frequent” 10–49%; “abundant” 50–89%; “continuous” > 90%). Maximum EA frequency for each epoch was dichotomized into ≥ 1.5 Hz versus < 1.5 Hz. Poor neurologic outcome was defined as a modified Rankin Scale score of 4–6 (vs. 0–3 as good outcome) at hospital discharge.

Results

One hundred and forty-three patients met study inclusion criteria. Sixty-seven patients (46.9%) had EAs. One hundred and twenty-four patients (86.7%) had poor outcome. On univariate analysis, the presence of EAs (OR 3.87 [1.27–11.71], p = 0.024) and maximum daily burden > 10% (OR 12.34 [2.34–210], p = 0.001) and > 50% (OR 8.26 [1.34–122], p = 0.035) were associated with worse outcomes. On multivariate analysis, after adjusting for clinical covariates (age, gender, NIHSS, APACHE II, stroke location, stroke treatment, hemorrhagic transformation, Charlson comorbidity index, history of epilepsy), EA presence (OR 5.78 [1.36–24.56], p = 0.017), maximum daily burden > 10% (OR 23.69 [2.43–230.7], p = 0.006), and maximum daily burden > 50% (OR 9.34 [1.01–86.72], p = 0.049) were associated with worse outcomes. After adjusting for covariates, we also found a dose-dependent association between increasing EA burden and increasing probability of poor outcomes (OR 1.89 [1.18–3.03] p = 0.009). We did not find an independent association between EA frequency and outcomes (OR: 4.43 [.98–20.03] p = 0.053). However, the combined effect of increasing EA burden and frequency ≥ 1.5 Hz (EA burden * frequency) was significantly associated with worse outcomes (OR 1.64 [1.03–2.63] p = 0.039).

Conclusions

Electrographic seizures and periodic and rhythmic patterns in patients with AIS are associated with worse outcomes in a dose-dependent manner. Future studies are needed to assess whether treatment of this EEG activity can improve outcomes.
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Metadata
Title
Burden of Epileptiform Activity Predicts Discharge Neurologic Outcomes in Severe Acute Ischemic Stroke
Authors
Mohammad Tabaeizadeh
Hassan Aboul Nour
Maryum Shoukat
Haoqi Sun
Jing Jin
Farrukh Javed
Solomon Kassa
Muhammad Edhi
Elahe Bordbar
Justin Gallagher
Valdery Junior Moura
Manohar Ghanta
Yu-Ping Shao
Andrew J. Cole
Eric S. Rosenthal
M. Brandon Westover
Sahar F. Zafar
Publication date
01-06-2020
Publisher
Springer US
Keyword
Stroke
Published in
Neurocritical Care / Issue 3/2020
Print ISSN: 1541-6933
Electronic ISSN: 1556-0961
DOI
https://doi.org/10.1007/s12028-020-00944-0

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