To compare the effectiveness of continuous EEG (cEEG) versus short EEG (sEEG) in detecting abnormalities and predicting post-stroke epilepsy (PSE) in ischemic stroke survivors.
Approach:
Study Cohort: Retrospective analysis of 283 adults with acute ischemic stroke who underwent cEEG within 7 days of stroke onset, excluding those with prior seizures, transient ischemic attacks, or acute symptomatic seizures.
EEG Comparison: Simulated sEEG as the first 60 minutes of cEEG to ensure controlled comparison. Both EEG types were analyzed for various abnormalities by blinded neurophysiologists.
Prognostic Model: Utilized SeLECT-EEG model to assess the risk of PSE, incorporating EEG findings such as epileptiform activity and regional slowing.
Statistical Analysis: Conducted statistical comparisons of EEG findings and analyzed long-term PSE risk using competing-risks framework and Fine–Gray subdistribution hazard models.
Key Findings:
cEEG demonstrated higher sensitivity in detecting transient abnormalities compared to sEEG.
EEG findings within 7 days post-stroke, particularly epileptiform activity and regional slowing, are strong predictors of PSE.
Incorporating EEG findings into the SeLECT-EEG model significantly improved risk stratification for patients without acute symptomatic seizures.
Interpretation:
Limitations:
The study is retrospective and may be subject to selection bias.
Findings are based on a specific cohort and may not be generalizable to all stroke patients.
This American Epilepsy Society (AES) practice guideline provides updated, evidence-based recommendations for the management of epilepsy in infants and children aged 1 month to <36 months.
