Quantitative EEG signatures of delirium and coma in mechanically ventilated ICU patients.

ABSTRACT:

Objective

To identify quantitative electroencephalography (EEG)-based indicators of delirium or coma in mechanically ventilated patients.

Methods

We prospectively enrolled 28 mechanically ventilated intensive care unit (ICU) patients to undergo 24-hour continuous EEG, 25 of whom completed the study. We assessed patients twice daily using the Richmond Agitation-Sedation Scale (RASS) and Confusion Assessment Method for the ICU (CAM-ICU). We evaluated the spectral profile, regional connectivity and complexity of 5-minute EEG segments after each assessment. We used penalized regression to select EEG metrics associated with delirium or coma, and compared mixed-effects models predicting delirium with and without the selected EEG metrics.

Results

Delta variability, high-beta

SUBMITTER: Williams Roberson S 

PROVIDER: S-EPMC9889081 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature