Categorization of post-cardiac arrest patients according to the pattern of amplitude-integrated electroencephalography after return of spontaneous circulation.

ABSTRACT:

Background

Continuous electroencephalography (cEEG), interpreted by an experienced neurologist, has been reported to be useful in predicting neurological outcome in adult patients post cardiac arrest. Amplitude-integrated electroencephalography (aEEG) is a type of quantitative EEG and is easily interpreted by a non-neurologist. A few studies have shown the effectiveness of aEEG in prognostication among adult patients post cardiac arrest. In this study, we hypothesized that the pattern of aEEG after return of spontaneous circulation (ROSC) could successfully categorize patients post cardiac arrest according to their expected neurological outcome.

Methods

We assessed the comatose survivors of out-of-hospital cardiac arrest who received targeted temperature management with mida

SUBMITTER: Sugiyama K 

PROVIDER: S-EPMC6148786 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature