Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score

Takehiko Yamanashi; Pedro S Marra; Kaitlyn J Crutchley; Nadia E Wahba; Johnny R Malicoat; Eleanor J Sullivan; Cade C Akers; Catherine A Nicholson; Felipe M Herrmann; Matthew D Karam; Nicolas O Noiseux; Koichi Kaneko; Eri Shinozaki; Masaaki Iwata; Hyunkeun Ryan Cho; Sangil Lee; Gen Shinozaki

doi:10.1038/s41598-021-93588-9

Back

Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score

Journal article

Open access

Peer reviewed

Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score

Takehiko Yamanashi, Pedro S Marra, Kaitlyn J Crutchley, Nadia E Wahba, Johnny R Malicoat, Eleanor J Sullivan, Cade C Akers, Catherine A Nicholson, Felipe M Herrmann, Matthew D Karam, …

Scientific reports, Vol.11(1), pp.14211-14211

07/09/2021

DOI: 10.1038/s41598-021-93588-9

PMCID: PMC8270989

PMID: 34244577

Files and links (1)

url

https://doi.org/10.1038/s41598-021-93588-9View

Published (Version of record) Open Access

Abstract

We have previously developed a bispectral electroencephalography (BSEEG) device, which was shown to be effective in detecting delirium and predicting patient outcomes. In this study we aimed to apply the BSEEG approach for a sepsis. This was a retrospective cohort study conducted at a single center. Sepsis-positive cases were identified based on retrospective chart review. EEG raw data and calculated BSEEG scores were obtained in the previous studies. The relationship between BSEEG scores and sepsis was analyzed, as well as the relationship among sepsis, BSEEG score, and mortality. Data were analyzed from 628 patients. The BSEEG score from the first encounter (1st BSEEG) showed a significant difference between patients with and without sepsis ( p = 0.0062), although AUC was very small indicating that it is not suitable for detection purpose. Sepsis patients with high BSEEG scores showed the highest mortality, and non-sepsis patients with low BSEEG scores showed the lowest mortality. Mortality of non-sepsis patients with high BSEEG scores was as bad as that of sepsis patients with low BSEEG scores. Even adjusting for age, gender, comorbidity, and sepsis status, BSEEG remained a significant predictor of mortality ( p = 0.008). These data are demonstrating its usefulness as a potential tool for identification of patients at high risk and management of sepsis.

Bacterial infection

Predictive markers

Electroencephalography - EEG

Diagnostic markers

Details

Title: Subtitle: Mortality among patients with sepsis associated with a bispectral electroencephalography (BSEEG) score
Creators: Takehiko Yamanashi - 3165 Porter Drive Room 2175, Palo Alto, CA 94304 USA
Pedro S Marra - Iowa City, IA USA
Kaitlyn J Crutchley - Iowa City, IA USA
Nadia E Wahba - Iowa City, IA USA
Johnny R Malicoat - Iowa City, IA USA
Eleanor J Sullivan - Iowa City, IA USA
Cade C Akers - Iowa City, IA USA
Catherine A Nicholson - Iowa City, IA USA
Felipe M Herrmann - Iowa City, IA USA
Matthew D Karam - Iowa City, IA USA
Nicolas O Noiseux - Iowa City, IA USA
Koichi Kaneko - Yonago, Tottori Japan
Eri Shinozaki - Iowa City, IA USA
Masaaki Iwata - Yonago, Tottori Japan
Hyunkeun Ryan Cho - Iowa City, IA USA
Sangil Lee - Iowa City, IA USA
Gen Shinozaki - 3165 Porter Drive Room 2175, Palo Alto, CA 94304 USA
Resource Type: Journal article
Publication Details: Scientific reports, Vol.11(1), pp.14211-14211
DOI: 10.1038/s41598-021-93588-9
PMID: 34244577
PMCID: PMC8270989
NLM abbreviation: Sci Rep
eISSN: 2045-2322
Publisher: Nature Publishing Group UK
Grant note: HRSA No. 2 U1QHP287310400 / ; NIA 5R24AG054259-04 / ;
Language: English
Date published: 07/09/2021
Academic Unit: Psychiatry; Microbiology and Immunology; Emergency Medicine; Iowa Neuroscience Institute; Biostatistics; Orthopedics and Rehabilitation; Injury Prevention Research Center; General Internal Medicine; Neurosurgery; Internal Medicine
Record Identifier: 9984104903402771

Metrics

16 Record Views

9 Times Cited - Web of Science