Emergency department tachypnea predicts transfer to a higher level of care in the first 24 hours after ED admission

Acad Emerg Med. 2010 Jul;17(7):718-22. doi: 10.1111/j.1553-2712.2010.00796.x.

Abstract

Objectives: The authors hypothesized that vital sign abnormalities detected in the emergency department (ED) can be used to forecast clinical deterioration occurring within 24 hours of hospital admission.

Methods: This was a retrospective case-control study performed after implementation of a hospitalwide rapid response team (RRT) system. Inclusion criteria for study patients consisted of age > or = 18 years, admission to the general floor though the ED, and RRT activation and subsequent transfer to a higher level of care in the first 24 hours. Control patients were > or =18 years, were admitted to the floor though the ED, never required RRT or transfer to a higher level of care, and were matched to cases by risk of mortality. Multilevel logistic regression was used to model the odds of an adverse outcome as a function of race and sex, respiratory rate (RR), heart rate (HR), and systolic (sBP) and diastolic blood pressure (dBP) at time of transfer from the ED.

Results: A total of 74 cases and 246 controls were used. RR (odds ratio [OR] = 2.79 per 10-point change, 95% confidence interval [CI] = 1.41 to 5.51) and to a lesser extent dBP (OR = 0.81, 95% CI = 0.67 to 0.97) contributed significantly to the odds of intensive care unit (ICU) or intermediate care transfer within 24 hours of admission; HR (OR = 1.15, 95% CI = 0.98 to 1.37) did not.

Conclusions: Emergency department RR preceding floor transfer appears to have a significant relationship to the need for ICU or intermediate care transfer in the first 24 hours of hospital admission.

MeSH terms

  • Aged
  • Case-Control Studies
  • Delaware / epidemiology
  • Emergency Service, Hospital*
  • Female
  • Hospital Mortality
  • Humans
  • Logistic Models
  • Male
  • Patient Admission / statistics & numerical data
  • Patient Transfer*
  • Predictive Value of Tests
  • Respiratory Rate*
  • Retrospective Studies
  • Risk Factors
  • Time Factors