Daniel H.J. Davis
The descriptive epidemiology of delirium symptoms in a large population-based cohort study: Results from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS)
Davis, Daniel H.J.; Barnes, Linda E.; Stephan, Blossom C.M.; Maclullich, Alasdair M.J.; Meagher, David; Copeland, John; Matthews, Fiona E.; Brayne, Carol
Authors
Linda E. Barnes
Blossom C.M. Stephan
Alasdair M.J. Maclullich
David Meagher
John Copeland
Professor Fiona Matthews F.Matthews@hull.ac.uk
Pro-Vice-Chancellor Research and Enterprise
Carol Brayne
Abstract
Background: In the general population, the epidemiological relationships between delirium and adverse outcomes are not well defined. The aims of this study were to: (1) construct an algorithm for the diagnosis of delirium using the Geriatric Mental State (GMS) examination; (2) test the criterion validity of this algorithm against mortality and dementia risk; (3) report the age-specific prevalence of delirium as determined by this algorithm. Methods. Participant and informant data in a randomly weighted subsample of the Cognitive Function and Ageing Study were taken from a standardized assessment battery. The algorithmic definition of delirium was based on the DSM-IV classification. Outcomes were: proportional hazard ratios for death; odds ratios of dementia at 2-year follow-up. Results: Data from 2197 persons (representative of 13,004) were used, median age 77 years, 64% women. Study-defined delirium was associated with a new dementia diagnosis at two years (OR 8.82, 95% CI 2.76 to 28.2) and death (HR 1.28, 95% CI 1.03 to 1.60), even after adjustment for acute illness severity. Similar associations were seen for study-defined subsyndromal delirium. Age-specific prevalence as determined by the algorithm increased with age from 1.8% in the 65-69 year age group to 10.1% in the ≥85 age group (p < 0.01 for trend). For study-defined subsyndromal delirium, age-specific period prevalence ranged from 8.2% (65-69 years) to 36.1% (≥85 years). Conclusions: These results demonstrate the possibility of constructing an algorithmic diagnosis for study-defined delirium using data from the GMS schedule, with predictive criterion validity for mortality and dementia risk. These are the first population-based analyses able to account prospectively for both illness severity and an earlier study diagnosis of dementia.
Citation
Davis, D. H., Barnes, L. E., Stephan, B. C., Maclullich, A. M., Meagher, D., Copeland, J., …Brayne, C. (2014). The descriptive epidemiology of delirium symptoms in a large population-based cohort study: Results from the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS). BMC Geriatrics, 14(1), https://doi.org/10.1186/1471-2318-14-87
Journal Article Type | Article |
---|---|
Publication Date | Jul 28, 2014 |
Deposit Date | Dec 8, 2023 |
Journal | BMC Geriatrics |
Print ISSN | 1471-2318 |
Electronic ISSN | 1471-2318 |
Publisher | Springer Verlag |
Volume | 14 |
Issue | 1 |
DOI | https://doi.org/10.1186/1471-2318-14-87 |
Public URL | https://hull-repository.worktribe.com/output/4454223 |
You might also like
Downloadable Citations
About Repository@Hull
Administrator e-mail: repository@hull.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search