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
Environmental and Clinical Risk Factors for Delirium in a Neurosurgical Center: A Prospective Study.
Authors
Matano, F. Mizunari, T. Yamada, K. Kobayashi, S. Murai, Y. Morita, A.
Year
2017
Journal
World Neurosurg
Abstract

BACKGROUND: Few reports of delirium-related risk factors have focused on environmental risk factors and clinical risk factors, such as white matter signal abnormalities on magnetic resonance imaging fluid attenuated inversion recovery images. METHODS: We prospectively enrolled 253 patients admitted to our neurosurgical center between December 2014 and June 2015 and analyzed 220 patients (100 male patients; mean age, 64.1 years; age range, 17-92 years). An Intensive Care Delirium Screening Checklist score >/=4 points indicated delirium. We evaluated patient factors consisting of baseline characteristics and related factors, such as white matter lesions (WMLs), as well as the surrounding environment. RESULTS: Delirium occurred in 29/220 cases (13.2%). Regarding baseline characteristics, there were significant statistical correlations between delirium and age (P = 0.0187), Hasegawa Dementia Scale-Revised score (P = 0.0022) on admission, and WMLs (P < 0.0001). WMLs were related to age (P < 0.0001) and atherosclerotic disease (P = 0.004). Regarding related factors, there were significant statistical correlations between delirium and stay in a neurosurgical care unit (P = 0.0245). Multivariate logistic regression analyses showed statistically significant correlations of delirium with WMLs (P < 0.0001) and surrounding patients with delirium (P = 0.026). CONCLUSIONS: WMLs in patients and the surrounding environment are risk factors for delirium in a neurosurgical center. To prevent delirium, clinicians must recognize risk factors, such as high-grade WMLs, and manage environmental factors.

PMID

28412481

Keywords

Delirium
Environmental
Neurosurgical center
Risk factor
White matter signal abnormalities

Page(s)
424-30
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