ICU Strain Is Associated with ICU Outcome in COVID-19 Patients - a Multicenter Retrospective Observational Study Comparing the First and Second Wave of the Pandemic

Demoule, Alexandre; Fartoukh, Muriel; Louis, Gustav; Azoulay, Élie; Nemlaghi, S.; Jullien, Edouard; Desnos, Cyrielle; Clerc, S.; Yvin, Elise; Mellati, Nouchan; Charron, Cyril; Voiriot, Guillaume; Picard, Yves; Vieillard-Baron, A; Darmon, Michèle

doi:10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a2924

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The recent COVID-19 pandemic strained ICU resources throughout the world with adverse effects to patient outcomes ( 35 , 36 ). At the hospital examined in this study, two findings associated with the higher intensity model were particularly helpful during local surges.…”

Section: Discussionmentioning

confidence: 99%

Patient Outcomes and Unit Composition With Transition to a High-Intensity ICU Staffing Model: A Before-and-After Study

Proper

Wacker

Shaker

et al. 2023

Critical Care Explorations

View full text Add to dashboard Cite

IMPORTANCE: Provider staffing models for ICUs are generally based on pragmatic necessities and historical norms at individual institutions. A better understanding of the role that provider staffing models play in determining patient outcomes and optimizing use of ICU resources is needed. OBJECTIVES: To explore the impact of transitioning from a low- to high-intensity intensivist staffing model on patient outcomes and unit composition. DESIGN, SETTING, AND PARTICIPANTS: This was a prospective observational before-and-after study of adult ICU patients admitted to a single community hospital ICU before (October 2016–May 2017) and after (June 2017–November 2017) the transition to a high-intensity ICU staffing model. MAIN OUTCOMES AND MEASURES: The primary outcome was 30-day all-cause mortality. Secondary outcomes included in-hospital mortality, ICU length of stay (LOS), and unit composition characteristics including type (e.g., medical, surgical) and purpose (ICU-specific intervention vs close monitoring only) of admission. RESULTS: For the primary outcome, 1,219 subjects were included (779 low-intensity, 440 high-intensity). In multivariable analysis, the transition to a high-intensity staffing model was not associated with a decrease in 30-day (odds ratio [OR], 0.90; 95% CI, 0.61–1.34; p = 0.62) or in-hospital (OR, 0.89; 95% CI, 0.57–1.38; p = 0.60) mortality, nor ICU LOS. However, the proportion of patients admitted to the ICU without an ICU-specific need did decrease under the high-intensity staffing model (27.2% low-intensity to 17.5% high-intensity; p < 0.001). CONCLUSIONS AND RELEVANCE: Multivariable analysis showed no association between transition to a high-intensity ICU staffing model and mortality or LOS outcomes; however, the proportion of patients admitted without an ICU-specific need decreased under the high-intensity model. Further research is needed to determine whether a high-intensity staffing model may lead to more efficient ICU bed usage.

show abstract

Section: Discussionmentioning

confidence: 99%