Delirium Bibliography

Delirium Bibliography books graphicWhat is the Delirium Bibliography? The searchable Delirium Bibliography page is one of our most popular features, allowing you to quickly gain access to the literature on delirium and acute care of older persons. It is primarily intended for clinicians and researchers interested in exploring these topics. The NIDUS team keeps it updated for you on a monthly basis!

How to Search for Articles: Search by author, title, year, and/or keywords. Each article is indexed by keywords taken from MEDLINE and other relevant databases. Click on the title of the article to read the abstract, journal, etc.

Reference Information

Title
Utility of white matter disease and atrophy on routinely acquired brain imaging for prediction of long-term delirium risk: population-based cohort study
Authors
Pendlebury, S. T. Thomson, R. J. Welch, S. J. V. Kuker, W. Rothwell, P. M.
Year
2022
Journal
Age Ageing
Abstract

BACKGROUND: brain imaging done as part of standard care may have clinical utility beyond its immediate indication. Using delirium as an exemplar, we determined the predictive value of baseline brain imaging variables [white matter changes (WMC) and atrophy] for delirium risk on long-term follow-up after transient ischemic attack (TIA)/stroke in a population-based cohort study. METHODS: surviving TIA/stroke participants in the Oxford Vascular Study (OXVASC) were assessed prospectively for delirium during all hospitalisations over 6 months (2013-14). Using logistic regression, independent associations were determined between baseline OXVASC computed tomography or magnetic resonance brain imaging measures of WMC and cerebral atrophy (none/mild versus moderate/severe) and delirium adjusted for age, sex, baseline stroke severity, depression, illness severity and pre-admission cognition. RESULTS: among 1,565 TIA/stroke survivors with 194 hospital admissions (158 patients, mean/standard deviation age at admission = 79.2/11.5 years), delirium occurred in 59 (37%). WMC and atrophy on baseline imaging were associated with delirium [odds ratio (OR) = 3.41, 1.21-5.85, P = 0.001 and OR = 2.50, 1.23-5.08, P = 0.01 (unadjusted) and OR = 2.67, 1.21-5.85, P = 0.02 and OR = 2.18, 1.00-4.73, P = 0.05 (adjusted age and sex)]. Associations were strengthened when analyses were restricted to patients hospitalised within 5 years of baseline brain imaging [OR = 6.04, 2.39-15.24, P < 0.0001 and OR = 4.64, 1.46-14.82, P = 0.009 (unadjusted)] but only WMC remained significant after adjustment for all covariates including pre-admission cognition (OR = 4.83, 1.29-18.13, P = 0.02 for Mini-Mental State Examination and OR = 5.15, 1.26-21.09, P = 0.02 for Montreal Cognitive Assessment). CONCLUSIONS: WMC and atrophy on brain imaging done up to 5 years earlier predicted delirium and may have clinical utility in risk stratification. Associations with WMC but not atrophy were independent of pre-admission cognitive impairment.

PMID

PMC8753040

Keywords

Atrophy/pathology
Brain/diagnostic imaging/pathology
Cohort Studies
*Delirium/diagnostic imaging/epidemiology
Humans
*Ischemic Attack, Transient/pathology
*Leukoencephalopathies/pathology
Magnetic Resonance Imaging
Neuroimaging
*Stroke
*White Matter/diagnostic imaging/pathology
*brain imaging
*delirium
*older people
*transient ischemic attack (TIA)

Page(s)
Issue

Search:
Total Records Found: 6201, showing 100 per page
TitleAuthorsJournalYearKeywords
Undiagnosed delirium is frequent and difficult to predict: Results from a prevalence survey of a tertiary hospital. Lange, P. W. Lamanna, M. Watson, R. Maier, A. B. J Clin Nurs 2019

Undiagnosed delirium
delirium
delirium diagnosis
delirium epidemiology
delirium prevention and control