AI Article Synopsis
- The study examined the potential of quantitative electroencephalography (qEEG) as a diagnostic tool for delirium, since there are no definitive disease markers for this condition.
- A retrospective analysis of 69 patients revealed significant differences in delta, theta, and beta powers between delirious and control groups, indicating that qEEG can help identify delirium based on brain activity patterns.
- Results showed high sensitivity and specificity for theta power in certain brain regions, suggesting qEEG could be a valuable aid in diagnosing delirium in clinical settings.
Article Abstract
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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9996146 | PMC |
| http://dx.doi.org/10.30773/pi.2022.0294 | DOI Listing |
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