Electroencephalography as a tool for assessing delirium in hospitalized patients: A single-center tertiary hospital experience.
Autor: | Mohamad Faizal NS; Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia., Tan JK; Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia., Tan MM; Department of Medicine, Hospital Tengku Ampuan Rahimah, Klang, Malaysia., Khoo CS; Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia., Sahibulddin SZ; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia., Zolkafli N; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia., Hod R; Department of Public Health, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia., Tan HJ; Department of Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.; Department of Medicine, Hospital Canselor Tuanku Muhriz, Kuala Lumpur, Malaysia. |
---|---|
Jazyk: | angličtina |
Zdroj: | Journal of central nervous system disease [J Cent Nerv Syst Dis] 2024 Aug 16; Vol. 16, pp. 11795735241274203. Date of Electronic Publication: 2024 Aug 16 (Print Publication: 2024). |
DOI: | 10.1177/11795735241274203 |
Abstrakt: | Background: Delirium is a prevalent yet underdiagnosed disorder characterized by acute cognitive impairment. Various screening tools are available, including the Confusion Assessment Method (CAM) and 4 A's test (4AT). However, the results of these assessments may vary among raters. Therefore, we investigated the objective use of electroencephalography (EEG) in delirium and its clinical associations and predictive value. Method: This cross-sectional observational study was conducted at Hospital Canselor Tuanku Muhriz, Universiti Kebangsaan, Malaysia, from April 2021 to April 2023. This study included patients aged ≥18 years with a preliminary diagnosis of delirium. Demographic and clinical data were collected along with EEG recordings evaluated by certified neurologists to classify abnormalities and compare the associated factors between patients with delirium with or without EEG abnormalities. Results: One hundred and twenty patients were recruited, with 80.0% displaying EEG abnormalities, mostly generalized slowing (moderate to severe) and primarily generalized slowing (mild to severe), and were characterized by theta activity. Age was significantly associated with EEG abnormalities, with patients aged 75 and older demonstrating the highest incidence (88.2%). The CAM scores were strongly correlated with EEG abnormalities (r = 0.639, P < 0.001) and was a predictor of EEG abnormalities ( P < 0.012), indicating that EEG can complement clinical assessments for delirium. The Richmond Agitation and Sedation Scale (RASS) scores (r = -0.452, P < 0.001) and Barthel index (BI) (r = -0.582, P < 0.001) were negatively correlated with EEG abnormalities. Additionally, a longer hospitalization duration was associated with EEG abnormalities (r = 0.250, P = 0.006) and emerged as a predictor of such changes ( P = 0.030). Conclusion: EEG abnormalities are prevalent in patients with delirium, particularly in elderly patients. CAM scores and the duration of hospitalization are valuable predictors of EEG abnormalities. EEG can be an objective tool for enhancing delirium diagnosis and prognosis, thereby facilitating timely interventions. Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. (© The Author(s) 2024.) |
Databáze: | MEDLINE |
Externí odkaz: |