Impact of delayed admission to intensive care units on patients with acute respiratory failure

Am J Emerg Med. 2017 Jan;35(1):39-44. doi: 10.1016/j.ajem.2016.09.066. Epub 2016 Sep 30.

Abstract

Background/purpose: To determine the impact of delayed admission to the intensive care unit (ICU) on the clinical outcomes of patients with acute respiratory failure (ARF) in the emergency department (ED).

Methods: This retrospective cohort study included non-traumatic adult patients with ARF and mechanical ventilation support in the ED of a tertiary university hospital in Taiwan from January 1, 2013, to August 31, 2013. Clinical data were extracted from chart records. The primary and secondary outcome measures were a prolonged hospital stay (>30 days) and the in-hospital crude mortality within 90 days, respectively.

Results: For 267 eligible patients (age range 21.0-98.0 years, mean 70.5±15.1 years; male 184, 68.9%), multivariate analysis was used to determine the significant adverse effects of an ED stay >1.0 hour on in-hospital crude mortality (odds ratio 2.19, P<.05), which was thus defined as delayed ICU admission. In-hospital mortality significantly differed between patients with delayed ICU admission and those without delayed admission, as revealed by the Kaplan-Meier survival curves (P<.05). Moreover, a linear-by-linear correlation was observed between the length of ICU waiting time in the ED and the lengths of total hospital stay (r=0.152, P<.05), ICU stay (r=0.148, P<.05), and ventilator support (r=0.222, P<.05).

Conclusions: For patients with ARF who required mechanical ventilation support and intensive care, a delayed ICU admission more than 1.0 hour is a strong determinant of mortality and is associated with a longer ICU stay and a longer need for ventilation.

MeSH terms

  • Acute Disease
  • Adult
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • Emergency Service, Hospital
  • Female
  • Hospital Mortality*
  • Hospitalization*
  • Humans
  • Intensive Care Units*
  • Length of Stay / statistics & numerical data*
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Odds Ratio
  • Respiration, Artificial
  • Respiratory Insufficiency / mortality
  • Respiratory Insufficiency / therapy*
  • Retrospective Studies
  • Time Factors
  • Young Adult