The Usefulness of Quantitative Electroencephalography in Diagnosis and Severity Evaluation of Delirium: A Retrospective Study

Kim Seung Bhin; Bong Su Hyun; Lee Jong Hun; Choi Tae Young; Yoon Seo Young; Kim Jun Won

doi:10.30773/pi.2022.0294

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자료유형: 학술저널

저자정보: Kim Seung Bhin (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea) Bong Su Hyun (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea) Lee Jong Hun (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea) Choi Tae Young (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea) Yoon Seo Young (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea) Kim Jun Won (Department of Psychiatry Daegu Catholic University School of Medicine Daegu Republic of Korea)

저널정보: 대한신경정신의학회 PSYCHIATRY INVESTIGATION PSYCHIATRY INVESTIGATION 제20권 제2호

발행연도: 2023.2

수록면: 144 - 151 (8page)

DOI: 10.30773/pi.2022.0294

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Objective Incontrovertible disease markers are absent in delirium. This study investigated the usefulness of quantitative electroencephalography (qEEG) in diagnosing delirium.Methods This retrospective case-control study reviewed medical records and qEEG data of 69 age/sex-matched patients (delirium group, n=30; control group, n=39). The first minute of artifact-free EEG data with eyes closed was selected. Nineteen electrodes’ sensitivity, specificity, and correlation with delirium rating scale-revised-98 were analyzed.Results On comparing the means of absolute power by frontal, central, and posterior regions, the delta and theta powers showed significant differences (p<0.001) in all regions, and the magnitude of the absolute power was higher in the delirium group than in the control group; only the posterior region showed a significant (p<0.001) difference in beta power. The spectral power of theta at the frontal region (area under the curve [AUC]=0.84) and theta at the central and posterior regions (AUC=0.83) showed 90% sensitivity and 79% specificity, respectively, in differentiating delirious patients and controls. The beta power of the central region showed a significant negative correlation with delirium severity (R=-0.457, p=0.011).Conclusion Power spectrum analysis of qEEG showed high accuracy in screening delirium among patients. The study suggests qEEG as a potential aid in diagnosing delirium.

#Biomarker #Delirium #Disease severity #Electroencephalography #Retrospective study.

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