Predisposition for delirium and EEG characteristics.

Autor: van Montfort SJT; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands. Electronic address: s.j.t.vanmontfort-2@umcutrecht.nl., van Dellen E; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands; Department of Psychiatry and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands., Wattel LL; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands; Faculty of Science, University of Amsterdam, the Netherlands., Kant IMJ; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands., Numan T; Department of Anatomy and Neurosciences, Amsterdam UMC, VU University Medical Center, Amsterdam, the Netherlands., Stam CJ; Department of Clinical Neurophysiology and MEG Center, Neuroscience Campus Amsterdam, VU University Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands., Slooter AJC; Department of Intensive Care Medicine and UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands.
Jazyk: angličtina
Zdroj: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology [Clin Neurophysiol] 2020 May; Vol. 131 (5), pp. 1051-1058. Date of Electronic Publication: 2020 Feb 21.
DOI: 10.1016/j.clinph.2020.01.023
Abstrakt: Objective: Delirium is associated with increased electroencephalography (EEG) delta activity, decreased connectivity strength and decreased network integration. To improve our understanding of development of delirium, we studied whether non-delirious individuals with a predisposition for delirium also show these EEG abnormalities.
Methods: Elderly subjects (N = 206) underwent resting-state EEG measurements and were assessed on predisposing delirium risk factors, i.e. older age, alcohol misuse, cognitive impairment, depression, functional impairment, history of stroke and physical status. Delirium-related EEG characteristics of interest were relative delta power, alpha connectivity strength (phase lag index) and network integration (minimum spanning tree leaf fraction). Linear regression analyses were used to investigate the relation between predisposing delirium risk factors and EEG characteristics that are associated with delirium, adjusting for confounding and multiple testing.
Results: Functional impairment was related to a decrease in connectivity strength (adjusted R 2  = 0.071, β = 0.201, p < 0.05). None of the other risk factors had significant influence on EEG delta power, connectivity strength or network integration.
Conclusions: Functional impairment seems to be associated with decreased alpha connectivity strength. Other predisposing risk factors for delirium had no effect on the studied EEG characteristics.
Significance: Predisposition for delirium is not consistently related to EEG characteristics that can be found during delirium.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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