Can Quantitative EEG Predict Neurological Outcome After Cardiac Arrest?

A post hoc analysis of a randomized trial identified quantitative features of rhythmic and periodic EEG patterns that are associated with neurological outcome.

In addition to its use in diagnosing seizures, electroencephalography (EEG) may contribute to prognostication following cardiac arrest. Rhythmic and periodic patterns (RPPs), such as generalized periodic discharges, frequently are present in cardiac arrest survivors with hypoxic-ischemic injury. It remains unclear when, if ever, aggressive treatment of various EEG patterns can improve outcome and which patterns are highly associated with prognosis. To help determine the association of various RPP features with outcome, the study authors performed a secondary analysis of the previously published TELSTAR trial (NEJM JW Neurol Mar 22 2022 and N Engl J Med 2022;386:724).

The participants were 172 comatose survivors of cardiac arrest with RPPs, 1…

Reviewing Author

Craig A. Williamson, MD, MS

Disclosures

Consultant/Advisory BoardNational Football League

RoyaltiesUpToDate, Inc.

Grant/Research SupportNational Institutes of Health

Editorial BoardsNeurocritical Care