↓ Skip to main content

Delirium detection by a novel bispectral electroencephalography device in general hospital

Overview of attention for article published in Psychiatry & Clinical Neurosciences, October 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Readers on

mendeley
71 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Delirium detection by a novel bispectral electroencephalography device in general hospital
Published in
Psychiatry & Clinical Neurosciences, October 2018
DOI 10.1111/pcn.12783
Pubmed ID
Authors
Abstract

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.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 71 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 11 15%
Student > Ph. D. Student 8 11%
Other 7 10%
Student > Master 6 8%
Student > Doctoral Student 4 6%
Other 10 14%
Unknown 25 35%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 25 35%
Neuroscience 10 14%
Nursing and Health Professions 3 4%
Engineering 3 4%
Computer Science 2 3%
Other 3 4%
Unknown 25 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 February 2023.
All research outputs
#3,671,066
of 34,526,284 outputs
Outputs from Psychiatry & Clinical Neurosciences
#220
of 2,041 outputs
Outputs of similar age
#56,661
of 393,495 outputs
Outputs of similar age from Psychiatry & Clinical Neurosciences
#1
of 13 outputs
Altmetric has tracked 34,526,284 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,041 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 393,495 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.