Delirium and exposure to psychoactive medications in critically ill adults: A multi-centre observational study-Reference-Cited by-同舟云学术

Delirium and exposure to psychoactive medications in critically ill adults: A multi-centre observational study

Published:2017-12 Issue: Volume:42 Page:268-274
ISSN:0883-9441
Container-title:Journal of Critical Care
language:en
Short-container-title:Journal of Critical Care

Author:

Burry Lisa D.,Williamson David R.,Mehta Sangeeta,Perreault Marc M.^ORCID,Mantas Ioanna,Mallick Ranjeeta,Fergusson Dean A.,Smith Orla,Fan Eddy,Dupuis Sebastien^ORCID,Herridge Margaret,Rose Louise

Publisher

Elsevier BV

Subject

Critical Care and Intensive Care Medicine

Reference42 articles.

1. Long-term cognitive impairment after critical illness;Pandharipande;N Engl J Med,2013

2. Delirium in critically ill patients: impact on long-term health-related quality of life and cognitive functioning;van den Boogaard;Crit Care Med,2012

3. The attributable mortality of delirium in critically ill patients: prospective cohort study;Klein Klouwenberg;BMJ,2014

4. Delirium as a predictor of mortality in mechanically ventilated patients in the intensive care unit;Ely;JAMA,2004

5. One-year health care costs associated with delirium in the elderly population;Leslie;Arch Intern Med,2008

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