Delirium in the nursing home patients seen in the emergency department

J Am Geriatr Soc. 2009 May;57(5):889-94. doi: 10.1111/j.1532-5415.2009.02219.x.

Abstract

Objectives: To determine whether nursing home patients are more likely than non-nursing home patients to present to the emergency department (ED) with delirium and to explore how variations in their delirium risk factor profiles contribute to this relationship.

Design: Prospective cross-sectional study.

Setting: Tertiary care academic ED.

Participants: Three hundred forty-one English-speaking patients aged 65 and older.

Measurements: Delirium status was determined using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) administered by trained research assistants. Multivariable logistic regression was used to determine whether nursing home residence was independently associated with delirium. Adjusted odds ratios (ORs) with their 95% confidence intervals (95% CIs) were reported.

Results: Of the 341 patients enrolled, 58 (17.0%) resided in a nursing home and 38 (11.1%) were considered to have delirium in the ED. Of the 58, (22 (37.9%) nursing home patients and 16 of 283 (5.7%) non-nursing home patients had delirium; unadjusted OR=10.2, 95% CI=4.9-21.2). After adjusting for dementia, a Katz activity of daily living score less than or equal to 4, hearing impairment, and the presence of systemic inflammatory response syndrome, nursing home residence was independently associated with delirium in the ED (adjusted OR=4.2, 95% CI=1.8-9.7).

Conclusion: In the ED setting, nursing home patients were more likely to present with delirium, and this relationship persisted after adjusting for delirium risk factors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Delirium / diagnosis*
  • Emergency Service, Hospital*
  • Female
  • Geriatric Assessment
  • Humans
  • Logistic Models
  • Male
  • Nursing Homes*
  • Prospective Studies
  • Risk Factors