An examination of cardiovascular intensive care unit mortality based on admission day and time

Heart Lung. 2021 Sep-Oct;50(5):579-586. doi: 10.1016/j.hrtlng.2021.02.011. Epub 2021 May 30.

Abstract

Background: Recent interest in the 'weekend effect' has been expanded to cardiovascular intensive care units, yet the impact of off-hours admission on mortality and cardiovascular ICU (CICU) length of stay remains uncertain.

Objectives: We examine the association between CICU admission day and time with mortality. Additionally, length-of-stay was also evaluated in relation to admission time.

Methods: A single-center, retrospective cohort study was conducted including 10,638 adult patients admitted to a CICU in a tertiary-care academic medical center from July 1, 2012 to June 30, 2019. ICU mortality and length-of-stay were assessed by admission day and time adjusting for comorbid conditions and other clinical variables. We used logistic regression models to evaluate the factors associated with mortality and a generalized linear model (GLM) with log link function and gamma distribution was used to evaluate the factors associated with ICU length of stay.

Results: Compared to weekday-day admissions, we observed an increased mortality for weekend-day for all admissions (6.5 vs 9.6%, Adjusted OR: 1.32 (1.03-1.72)), and for medical CICU admissions (7.6 vs 9.9%, Adjusted OR: 1.35 (1.02-1.79)). Additionally, compared to weekday-day, weekday-night admission was associated with 7% longer ICU length of stay in surgical ICU patients, 7% shorter length of stay in medical ICU patients.

Conclusion: Admission to this open-model CICU during weekend hours (Saturday 08:00-Sunday 17:59) versus nights or weekdays is associated with increased mortality. ICU staffing care models should not significantly change based on the day of the week.

Keywords: APACHE III; Cardiovascular ICU; Mortality; Weekend admission.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adult
  • Hospital Mortality
  • Hospitalization*
  • Humans
  • Intensive Care Units*
  • Retrospective Studies
  • Time Factors