Literature DB >> 28854400

Association between strained capacity and mortality among patients admitted to intensive care: A path-analysis modeling strategy.

Sean M Bagshaw1, Xioaming Wang2, David A Zygun3, Dan Zuege4, Peter Dodek5, Allan Garland6, Damon C Scales7, Luc Berthiaume8, Peter Faris9, Guanmin Chen10, Dawn Opgenorth11, Henry T Stelfox12.   

Abstract

PURPOSE: To evaluate the associations between strained ICU capacity and patient outcomes.
METHODS: Multi-center population-based cohort study of nine integrated ICUs in Alberta, Canada. Path-analysis modeling was adopted to investigate direct and indirect associations between strain (available beds ≤1; occupancy ≥95%) and outcomes. Mixed-effects multivariate regression was used to measure the association between strain and acuity (APACHE II score), and both acuity and strain measures on ICU mortality and length of stay.
RESULTS: 12,265 admissions comprise the study cohort. Available beds ≤1 and occupancy ≥95% occurred for 22.3% and 17.0% of admissions. Lower bed availability was associated with higher APACHE II score (p<0.0001). The direct effect of ≤1 available beds at ICU admission on ICU mortality was 11.6% (OR 1.116; 95% CI, 0.995-1.252). Integrating direct and indirect effects resulted in a 16.5% increased risk of ICU mortality (OR 1.165; 95% CI, 1.036-1.310), which exceeded the direct effect by 4.9%. Findings were similar with strain defined as occupancy ≥95%. Strain was associated with shorter ICU stay, primarily mediated by greater acuity.
CONCLUSIONS: Strained capacity was associated with increased ICU mortality, partly mediated through greater illness acuity. Future work should consider both the direct and indirect relationships of strain on outcomes.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Capacity; Intensive care unit; Mortality; Organization; Quality

Mesh:

Year:  2017        PMID: 28854400     DOI: 10.1016/j.jcrc.2017.08.032

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  22 in total

1.  The Search for the Optimal Intensive Care Unit Triage Model.

Authors:  Thomas S Valley
Journal:  Ann Am Thorac Soc       Date:  2018-11

2.  Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study.

Authors:  Markos G Kashiouris; Curtis N Sessler; Rehan Qayyum; Venu Velagapudi; Christos Stefanou; Rahul Kashyap; Niall Crowley; Craig Daniels; Kianoush Kashani
Journal:  Intensive Care Med       Date:  2019-09-17       Impact factor: 17.440

3.  Prompt admission to the ICU: an instrument to improve mortality for deteriorating ward patients.

Authors:  Theis Lange; Markus Skrifvars; Otavio T Ranzani
Journal:  Intensive Care Med       Date:  2018-04-28       Impact factor: 17.440

4.  Timing of onset of persistent critical illness: a multi-centre retrospective cohort study.

Authors:  Sean M Bagshaw; Henry T Stelfox; Theodore J Iwashyna; Rinaldo Bellomo; Dan Zuege; Xioaming Wang
Journal:  Intensive Care Med       Date:  2018-11-12       Impact factor: 17.440

5.  ICU Risk Stratification Models Feasible for Use in Sub-Saharan Africa Show Poor Discrimination in Malawi: A Prospective Cohort Study.

Authors:  Meghan Prin; Stephanie Pan; Clement Kadyaudzu; Guohua Li; Anthony Charles
Journal:  World J Surg       Date:  2019-10       Impact factor: 3.352

6.  Using probabilistic patient flow modelling helps generate individualised intensive care unit operational predictions and improved understanding of current organisational behaviours.

Authors:  George Hadjipavlou; Jill Titchell; Christina Heath; Richard Siviter; Hilary Madder
Journal:  J Intensive Care Soc       Date:  2019-09-05

7.  Does Unprecedented ICU Capacity Strain, As Experienced During the COVID-19 Pandemic, Impact Patient Outcome?

Authors:  M Elizabeth Wilcox; Kathryn M Rowan; David A Harrison; James C Doidge
Journal:  Crit Care Med       Date:  2022-02-16       Impact factor: 9.296

8.  Association between afterhours admission to the intensive care unit, strained capacity, and mortality: a retrospective cohort study.

Authors:  Adam M Hall; Henry T Stelfox; Xioaming Wang; Guanmin Chen; Danny J Zuege; Peter Dodek; Allan Garland; Damon C Scales; Luc Berthiaume; David A Zygun; Sean M Bagshaw
Journal:  Crit Care       Date:  2018-04-17       Impact factor: 9.097

9.  Outcome Improvement Between the First Two Waves of the Coronavirus Disease 2019 Pandemic in a Single Tertiary-Care Hospital in Belgium.

Authors:  Bernard Lambermont; Anne-Françoise Rousseau; Laurence Seidel; Marie Thys; Jonathan Cavalleri; Pierre Delanaye; J Geoffrey Chase; Pierre Gillet; Benoit Misset
Journal:  Crit Care Explor       Date:  2021-05-19

Review 10.  Indicators of intensive care unit capacity strain: a systematic review.

Authors:  Oleksa G Rewa; Henry T Stelfox; Armann Ingolfsson; David A Zygun; Robin Featherstone; Dawn Opgenorth; Sean M Bagshaw
Journal:  Crit Care       Date:  2018-03-27       Impact factor: 9.097

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