Predicting postoperative delirium after cardiovascular surgeries from preoperative portable electroencephalography oscillations.

ABSTRACT:

Introduction

Postoperative delirium (POD) is common and life-threatening, however, with intensive interventions, a potentially preventable clinical syndrome. Although electroencephalography (EEG) is a promising biomarker of delirium, standard 20-leads EEG holds difficulties for screening usage in clinical practice.

Objective

We aimed to develop an accurate algorithm to predict POD using EEG data obtained from portable device.

Methods

We recruited 128 patients who underwent scheduled cardiovascular surgery. Cognitive function assessments were conducted, and portable EEG recordings were obtained prior to surgery.

Results

Among the patients, 47 (36.7%) patients with POD were identified and they did not significantly differ from patients without POD in sex ratio, a

SUBMITTER: Hata M 

PROVIDER: S-EPMC10682064 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature