Highlights
- •What is the primary question addressed by this study? — The question addressed by the study must be limited to only one sentence.
- •→Can the BSEEG method predict patient mortality regardless of age, delirium motor subtype, and device type?
- •What is the main finding of this study? — The finding must be limited to two sentences.
- •→The BSEEG score measured early in the hospitalization was shown to be capable of capturing high mortality risk among patients.
- •What is the meaning of the finding? —The meaning of the finding must be limited to one sentence.
- •→The BSEEG method has a potential to be useful in identifying patients at high risk for poor outcomes with the objective scoring by a simple, easy to use, point-of-care device.
Abstract
Objective
: Delirium is dangerous and a predictor of poor patient outcomes. We have previously
reported the utility of the bispectral EEG (BSEEG) with a novel algorithm for the
detection of delirium and prediction of patient outcomes including mortality. The
present study employed a normalized BSEEG (nBSEEG) score to integrate the previous
cohorts to combine their data to investigate the prediction of patient outcomes. We
also aimed to test if the BSEEG method can be applicable regardless of age, and independent
of delirium motor subtypes.
Method
: We calculated nBSEEG score from raw BSEEG data in each cohort and classified patients
into BSEEG-positive and BSEEG-negative groups. We used log-rank test and Cox proportional
hazards models to predict 90-day and 1-year outcomes for the BSEEG-positive and -negative
groups in all subjects and motor subgroups.
Result
: A total of 1077 subjects, the BSEEG-positive group showed significantly higher 90-day
(hazard ratio 1.33 [95% CI 1.16-1.52] and 1-year (hazard ratio 1.22 [95% CI 1.06-1.40]
mortality rates than the negative group after adjustment for covariates such as age,
sex, CCI and delirium status. Among patients with different motor subtypes of delirium,
the hypoactive group showed significantly higher 90-day (hazard ratio 1.41 [95% CI
1.12-1.76] and 1-year mortality rates (hazard ratio 1.32 [95% CI 1.05-1.67], which
remained significant after adjustment for the same covariates.
Conclusion
: We found that the BSEEG method is capable of capturing patients at high mortality
risk.
Key Words
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Article info
Publication history
Accepted:
March 3,
2023
Received in revised form:
February 16,
2023
Received:
September 1,
2022
Publication stage
In Press Journal Pre-ProofIdentification
Copyright
© 2023 Published by Elsevier Inc. on behalf of American Association for Geriatric Psychiatry.
