Delirium is common and dangerous among elderly inpatients. Yet it is underdiagnosed and thus undertreated. This study aims to test the diagnostic characteristics of a noninvasive point-of-care device with two-channel (bispectral) electroencephalography (EEG) for the screening of delirium in the hospital.
Patients admitted to the University of Iowa Hospitals and Clinics were assessed for the presence of delirium with a clinical assessment, the Confusion Assessment Method for Intensive Care Unit and Delirium Rating Scale. Subsequently, we obtained a 10-minute bispectral electroencephalography (BSEEG) recording from a hand-held electroencephalogram device during hospitalization. We performed power spectral density analysis to differentiate between those patients with and without delirium.
Initially 45 subjects were used as a test dataset to establish a cut off. The BSEEG index was determined to be a significant indicator of delirium, with sensitivity 80% and specificity 87.7%. Additional independent validation dataset with 24 patients confirmed the validity of the approach, with a sensitivity of 83.3%, specificity of 83.3%.
In this pilot study, (bispectral) electroencephalography was able to distinguish delirious patients from non-delirious patients. Our data showed the feasibility of this technology for mass screening of delirium in the hospital. This article is protected by copyright. All rights reserved.