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Abstract Details

The Utility of Electroencephalography on Stroke Service: A Single Center Experience
Epilepsy/Clinical Neurophysiology (EEG)
P5 - Poster Session 5 (8:00 AM-9:00 AM)
12-008
The purpose of this study is to determine the relationship between electroencephalography (EEG) findings and discharge outcome in patients with acute stroke.
EEG is commonly used to detect seizures and characterize spells. A growing body of evidence also suggests that certain EEG patterns (i.e. lateralized periodic discharges, epileptiform discharges) are also associated with increased risk for seizures. However, its effectiveness for predicting functional outcome remains equivocal.

This is a retrospective study. EEG procedures performed during hospital admissions for acute stroke from 2010 to 2018 were selected from an existing database. The EEG findings were classified as high-risk (electrographic seizures, epileptiform discharges, lateralized periodic/rhythmic discharges), and low-risk (focal slowing, general slowing, and normal). The discharge outcome was defined as poor (expired, nursing home) or meaningful (home, rehab, others).
In nine years, a total of 4583 patients were diagnosed with acute stroke. Among these, 328 patients had EEG during their acute admissions. 218 (66.5%) of these EEG studies were routine studies (< 12 hours, rEEG), 95 (29%) were continuous (≥ 12 hours, cEEG), and 15 (4.6%) were rEEG converted to cEEG. The yield of high-risk EEG findings was higher with cEEG relative to rEEG (21% vs. 6%, p < 0.001). Patients with hemorrhagic stroke were more likely to have high-risk EEG findings compared to ischemic stroke (16% vs. 9% p = 0.06). However, high-risk EEG findings were not associated with poor discharge outcome.

cEEG is more useful than rEEG for the detection of high-risk EEG findings. However, these findings do not prognosticate poor functional outcomes at discharge.
Authors/Disclosures
Brittany C. Turner
PRESENTER 		No disclosure on file
Mark D. Johnson, MD (UT Southwestern Medical Center) Dr. Johnson has nothing to disclose.
Ryan Hays, MD, MBA, FAES, FÂ鶹´«Ã½Ó³»­ (UT Southwestern Medical Center) Dr. Hays has nothing to disclose.
No disclosure on file
No disclosure on file
Kan Ding, MD (UT Southwestern Medical Center) The institution of Dr. Ding has received research support from National Institute of Aging. The institution of Dr. Ding has received research support from NINDS.