A Simple Tool to Predict Development of Delirium After Elective Surgery

Andy Dworkin, David S H Lee, Amber R. An, Sarah Goodlin

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Objectives: To identify a quick clinical tool to assess the risk of delirium after elective surgery. Design: Prospective observational study. Setting: Preoperative assessment clinic at the Veterans Affairs Portland Health Care System. Participants: Community-living veterans aged 65 and older scheduled for elective surgery requiring general or major anesthesia. 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. 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. Conclusion: In this sample of veterans who had elective surgery with major anesthesia, Mini-Cog score predicted likelihood of postoperative delirium.

Original languageEnglish (US)
Pages (from-to)e149-e153
JournalJournal of the American Geriatrics Society
Volume64
Issue number11
DOIs
StatePublished - Nov 1 2016

Keywords

  • delirium
  • elderly
  • postoperative
  • prediction

ASJC Scopus subject areas

  • Geriatrics and Gerontology

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