Predictors and Outcomes of Revisits in Older Adults Discharged from the Emergency Department

J Am Geriatr Soc. 2018 Apr;66(4):735-741. doi: 10.1111/jgs.15301. Epub 2018 Feb 28.

Abstract

Objectives: To study predictors of emergency department (ED) revisits and the association between ED revisits and 90-day functional decline or mortality.

Design: Multicenter cohort study.

Setting: One academic and two regional Dutch hospitals.

Participants: Older adults discharged from the ED (N=1,093).

Measurements: At baseline, data on demographic characteristics, illness severity, and geriatric parameters (cognition, functional capacity) were collected. All participants were prospectively followed for an unplanned revisit within 30 days and for functional decline and mortality 90 days after the initial visit.

Results: The median age was 79 (interquartile range 74-84), and 114 participants (10.4%) had an ED revisit within 30 days of discharge. Age (hazard ratio (HR)=0.96, 95% confidence interval (CI)=0.92-0.99), male sex (HR=1.61, 95% CI=1.05-2.45), polypharmacy (HR=2.06, 95% CI=1.34-3.16), and cognitive impairment (HR=1.71, 95% CI=1.02-2.88) were independent predictors of a 30-day ED revisit. The area under the receiver operating characteristic curve to predict an ED revisit was 0.65 (95% CI=0.60-0.70). In a propensity score-matched analysis, individuals with an ED revisit were at higher risk (odds ratio=1.99 95% CI=1.06-3.71) of functional decline or mortality.

Conclusion: Age, male sex, polypharmacy, and cognitive impairment were independent predictors of a 30-day ED revisit, but no useful clinical prediction model could be developed. However, an early ED revisit is a strong new predictor of adverse outcomes in older adults.

Keywords: Emergency Department; adverse outcomes; emergency medical services; older patients; revisits.

Publication types

  • Multicenter Study

MeSH terms

  • Aged
  • Emergency Service, Hospital*
  • Female
  • Humans
  • Male
  • Netherlands
  • Outcome Assessment, Health Care / statistics & numerical data*
  • Patient Discharge / statistics & numerical data*
  • Patient Readmission / statistics & numerical data*
  • Prospective Studies