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A Simple Tool to Predict Development of Delirium After Elective Surgery.

Authors :
Dworkin A
Lee DS
An AR
Goodlin SJ
Source :
Journal of the American Geriatrics Society [J Am Geriatr Soc] 2016 Nov; Vol. 64 (11), pp. e149-e153. Date of Electronic Publication: 2016 Sep 21.
Publication Year :
2016

Abstract

Objectives: To identify a quick clinical tool to assess the risk of delirium after elective surgery.<br />Design: Prospective observational study.<br />Setting: Preoperative assessment clinic at the Veterans Affairs Portland Health Care System.<br />Participants: Community-living veterans aged 65 and older scheduled for elective surgery requiring general or major anesthesia.<br />Measurements: Confusion Assessment Method (CAM) or Family Confusion Assessment Method (FAM-CAM). Data on education, medications, substance use, Patient Health Questionnaire (PHQ-9), Study of Osteoporotic Fractures Frailty, Mini-Cog, and Charlson-Deyo score were collected preoperatively.<br />Results: Of 114 veterans who agreed to participate, 76 completed the final delirium assessment. Ten of the 76 (13%) developed delirium in the 72 hours after surgery as assessed using the CAM or FAM-CAM. In bivariate analysis, factors that increased the odds of delirium at least three times were low education; poor PHQ-9, clock draw, word recall, Mini-Cog, and poor preoperative orientation scores; alcohol use; and higher comorbidities as measured using Charlson-Deyo index. Scoring the Mini-Cog from 0 to 5 had a higher predictive power (area under the receiving operating characteristic curve = 0.77) than other approaches to scoring the Mini-Cog. Other models did not significantly improve prediction of postoperative delirium risk and would be complicated to use in a clinical setting.<br />Conclusion: In this sample of veterans who had elective surgery with major anesthesia, Mini-Cog score predicted likelihood of postoperative delirium.<br /> (© 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.)

Details

Language :
English
ISSN :
1532-5415
Volume :
64
Issue :
11
Database :
MEDLINE
Journal :
Journal of the American Geriatrics Society
Publication Type :
Academic Journal
Accession number :
27650453
Full Text :
https://doi.org/10.1111/jgs.14428