Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia

Taku Saito; Johnny R Malicoat; Lydia R Leyden; Jessica C Williams; Sydney S Jellison; Hailey Long; Mandy M Hellman; Kaitlyn J Crutchley; Zoe-Ella E M Anderson; Duachee Lo; Manisha V Modukuri; Cassidy J Schacher; Aihide Yoshino; Hiroyuki Toda; Eri Shinozaki; Hyunkeun R Cho; Sangil Lee; Gen Shinozaki

doi:10.1093/braincomms/fcab037

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Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia

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Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia

Taku Saito, Johnny R Malicoat, Lydia R Leyden, Jessica C Williams, Sydney S Jellison, Hailey Long, Mandy M Hellman, Kaitlyn J Crutchley, Zoe-Ella E M Anderson, Duachee Lo, …

Brain Communications, Vol.3(2), pp.fcab037-fcab037

04/05/2021

DOI: 10.1093/braincomms/fcab037

PMCID: PMC8204260

PMID: 34136808

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Abstract

Abstract Complications of delirium and dementia increase mortality; however, it is difficult to diagnose delirium accurately, especially among dementia patients. The bispectral electroencephalography score can detect delirium and predict mortality in elderly patients. We aimed to develop an efficient and reliable bispectral electroencephalography device for high-throughput screening. We also hypothesized that bispectral electroencephalography score can predict mortality among dementia patients. A prospective cohort study was conducted between January 2016 and December 2018 to measure bispectral electroencephalography from elderly patients and correlate with outcomes. A total of 502 elderly (55 years old or older) patients with and without dementia were enrolled. For a replication of the utility of bispectral electroencephalography, mortalities between bispectral electroencephalography-positive and bispectral electroencephalography-negative group were compared. In addition, patients with and without dementia status were added to examine the utility of bispectral electroencephalography among dementia patients. The mortality within 180 days in the bispectral electroencephalography-positive group was higher than that of the bispectral electroencephalography-negative group in both the replication and the total cohorts. Mortality of those in the bispectral electroencephalography-positive group showed a dose-dependent increase in both cohorts. When the dementia patients showed bispectral electroencephalography positive, their mortality was significantly higher than those with dementia but who were bispectral electroencephalography-negative. Mortality within 30 days in the bispectral electroencephalography-positive group was significantly higher than that of the bispectral electroencephalography-negative group. The utility of the bispectral electroencephalography to predict mortality among large sample of 502 elderly patients was shown. The bispectral electroencephalography score can predict mortality among elderly patients in general, and even among dementia patients, as soon as 30 days. Saito et al. aimed to show that their bispectral electroencephalography (BSEEG) method can capture brain wave abnormalities indicative of delirium and predict mortality among elderly patients with and without dementia. They previously showed the usefulness of BSEEG with 274 inpatients, and this time they studied an additional 228 subjects to replicate their findings. Graphical Abstract Graphical Abstract Video Abstract 10.1093/braincomms/fcab037media1 Video Abstract fcab037media1 6252922364001

Dementia

mortality

bispectral electroencephalogram

delirium

BSEEG

Details

Title: Subtitle: Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia
Creators: Taku Saito - National Defense Medical College
Johnny R Malicoat - University of Iowa
Lydia R Leyden - University of Iowa
Jessica C Williams - University of Iowa
Sydney S Jellison - University of Iowa
Hailey Long - University of Iowa
Mandy M Hellman - University of Iowa
Kaitlyn J Crutchley - University of Iowa
Zoe-Ella E M Anderson - University of Iowa
Duachee Lo - University of Iowa
Manisha V Modukuri - University of Iowa
Cassidy J Schacher - University of Iowa
Aihide Yoshino - National Defense Medical College
Hiroyuki Toda - National Defense Medical College
Eri Shinozaki - University of Iowa
Hyunkeun R Cho - University of Iowa
Sangil Lee - University of Iowa
Gen Shinozaki - University of Iowa
Resource Type: Journal article
Publication Details: Brain Communications, Vol.3(2), pp.fcab037-fcab037
DOI: 10.1093/braincomms/fcab037
PMID: 34136808
PMCID: PMC8204260
NLM abbreviation: Brain Commun
ISSN: 2632-1297
eISSN: 2632-1297
Publisher: Oxford University Press
Grant note: DOI: 10.13039/100000001, name: National Science Foundation, award: 1664364
Language: English
Date published: 04/05/2021
Academic Unit: Preventive and Community Dentistry; Psychiatry; Microbiology and Immunology; Psychological and Brain Sciences; Emergency Medicine; Iowa Neuroscience Institute; Biostatistics; Injury Prevention Research Center; General Internal Medicine; Neurosurgery; Internal Medicine
Record Identifier: 9984226814902771

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