Measuring the Impact of ICU Strain on Mortality, After-Hours Discharge, Discharge Delay, Interhospital Transfer, and Readmission in Australia With the Activity Index.


Journal

Critical care medicine
ISSN: 1530-0293
Titre abrégé: Crit Care Med
Pays: United States
ID NLM: 0355501

Informations de publication

Date de publication:
01 Dec 2023
Historique:
medline: 17 11 2023
pubmed: 24 7 2023
entrez: 24 7 2023
Statut: ppublish

Résumé

ICU resource strain leads to adverse patient outcomes. Simple, well-validated measures of ICU strain are lacking. Our objective was to assess whether the "Activity index," an indicator developed during the COVID-19 pandemic, was a valid measure of ICU strain. Retrospective national registry-based cohort study. One hundred seventy-five public and private hospitals in Australia (June 2020 through March 2022). Two hundred seventy-seven thousand seven hundred thirty-seven adult ICU patients. None. Data from the Australian and New Zealand Intensive Care Society Adult Patient Database were matched to the Critical Health Resources Information System. The mean daily Activity index of each ICU (census total of "patients with 1:1 nursing" + "invasive ventilation" + "renal replacement" + "extracorporeal membrane oxygenation" + "active COVID-19," divided by total staffed ICU beds) during the patient's stay in the ICU was calculated. Patients were categorized as being in the ICU during very quiet (Activity index < 0.1), quiet (0.1 to < 0.6), intermediate (0.6 to < 1.1), busy (1.1 to < 1.6), or very busy time-periods (≥ 1.6). The primary outcome was in-hospital mortality. Secondary outcomes included after-hours discharge from the ICU, readmission to the ICU, interhospital transfer to another ICU, and delay in discharge from the ICU. Median Activity index was 0.87 (interquartile range, 0.40-1.24). Nineteen thousand one hundred seventy-seven patients died (6.9%). In-hospital mortality ranged from 2.4% during very quiet to 10.9% during very busy time-periods. After adjusting for confounders, being in an ICU during time-periods with higher Activity indices, was associated with an increased risk of in-hospital mortality (odds ratio [OR], 1.49; 99% CI, 1.38-1.60), after-hours discharge (OR, 1.27; 99% CI, 1.21-1.34), readmission (OR, 1.18; 99% CI, 1.09-1.28), interhospital transfer (OR, 1.92; 99% CI, 1.72-2.15), and less delay in ICU discharge (OR, 0.58; 99% CI, 0.55-0.62): findings consistent with ICU strain. The Activity index is a simple and valid measure that identifies ICUs in which increasing strain leads to progressively worse patient outcomes.

Identifiants

pubmed: 37486188
doi: 10.1097/CCM.0000000000005985
pii: 00003246-990000000-00186
pmc: PMC10645102
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1623-1637

Informations de copyright

Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine and Wolters Kluwer Health, Inc.

Déclaration de conflit d'intérêts

The authors have disclosed that they do not have any potential conflicts of interest.

Références

Rewa OG, Stelfox HT, Ingolfsson A, et al.: Indicators of intensive care unit capacity strain: A systematic review. Crit Care. 2018; 22:86
Bagshaw SM, Wang X, Zygun DA, et al.: Association between strained capacity and mortality among patients admitted to intensive care: A path-analysis modeling strategy. J Crit Care. 2018; 43:81–87
Harris S, Singer M, Sanderson C, et al.: Impact on mortality of prompt admission to critical care for deteriorating ward patients: An instrumental variable analysis using critical care bed strain. Intensive Care Med. 2018; 44:606–615
Daud-Gallotti RM, Costa SF, Guimarães T, et al.: Nursing workload as a risk factor for healthcare associated infections in ICU: A prospective study. PLoS One. 2012; 7:e52342
Wagner J, Gabler NB, Ratcliffe SJ, et al.: Outcomes among patients discharged from busy intensive care units. Ann Intern Med. 2013; 159:447–455
Hua M, Halpern SD, Gabler NB, et al.: Effect of ICU strain on timing of limitations in life-sustaining therapy and on death. Intensive Care Med. 2016; 42:987–994
Bihari S, McElduff P, Pearse J, et al.: Intensive care unit strain and mortality risk in patients admitted from the ward in Australia and New Zealand. J Crit Care. 2022; 68:136–140
Bravata DM, Perkins AJ, Myers LJ, et al.: Association of intensive care unit patient load and demand with mortality rates in US Department of Veterans Affairs hospitals during the COVID-19 pandemic. JAMA Netw Open. 2021; 4:e2034266
Wilcox ME, Rowan KM, Harrison DA, et al.: Does unprecedented ICU capacity strain, as experienced during the COVID-19 pandemic, impact patient outcome? Crit Care Med. 2022; 50:e548–e556
Churpek MM, Gupta S, Spicer AB, et al.: Hospital-level variation in death for critically ill patients with COVID-19. Am J Respir Crit Care Med. 2021; 204:403–411
Duggal A, Mathews KS: Impact of ICU strain on outcomes. Curr Opin Crit Care. 2022; 28:667–673
Pilcher D, Duke G, Rosenow M, et al.: Assessment of a novel marker of ICU strain, the ICU Activity Index, during the COVID-19 pandemic in Victoria, Australia. Crit Care Resusc. 2021:300–307
Pilcher D, Coatsworth NR, Rosenow M, et al.: A national system for monitoring intensive care unit demand and capacity: The Critical Health Resources Information System (CHRIS). Med J Aust. 2021; 214:297–298.e1
Paul E, Bailey M, Pilcher D: Risk prediction of hospital mortality for adult patients admitted to Australian and New Zealand intensive care units: Development and validation of the Australian and New Zealand Risk of Death model. J Crit Care. 2013; 28:935–941
Pilcher D, Paul E, Bailey M, et al.: The Australian and New Zealand Risk of Death (ANZROD) model: Getting mortality prediction right for intensive care units. Crit Care Resusc. 2014; 16:3–4
Paul E, Bailey M, Kasza J, et al.: The ANZROD model: Better benchmarking of ICU outcomes and detection of outliers. Crit Care Resusc. 2016; 18:25–36
Halpern SD: ICU capacity strain and the quality and allocation of critical care. Curr Opin Crit Care. 2011; 17:648–657
Zhang PW, Zhang SH, Li WF, et al.: Fatality assessment and variant risk monitoring for COVID-19 using three new hospital occupancy related metrics. EBioMedicine. 2022; 83:104225
Iwashyna TJ, Kramer AA, Kahn JM: Intensive care unit occupancy and patient outcomes. Crit Care Med. 2009; 37:1545–1557
Gabler NB, Ratcliffe SJ, Wagner J, et al.: Mortality among patients admitted to strained intensive care units. Am J Respir Crit Care Med. 2013; 188:800–806
Stattin K, Frithiof R, Hultström M, et al.: Strain on the ICU resources and patient outcomes in the COVID-19 pandemic: A Swedish national registry cohort study. Eur J Anaesthesiol. 2023; 40:13–20
Wilcox ME, Harrison DA, Patel A, et al.: Higher ICU capacity strain is associated with increased acute mortality in closed ICUs. Crit Care Med. 2020; 48:709–716
Anesi GL, Kerlin MP: The impact of resource limitations on care delivery and outcomes: Routine variation, the coronavirus disease 2019 pandemic, and persistent shortage. Curr Opin Crit Care. 2021; 27:513–519
Bauer J, Brüggmann D, Klingelhöfer D, et al.: Access to intensive care in 14 European countries: A spatial analysis of intensive care need and capacity in the light of COVID-19. Intensive Care Med. 2020; 46:2026–2034
Anesi GL, Liu VX, Gabler NB, et al.: Associations of intensive care unit capacity strain with disposition and outcomes of patients with sepsis presenting to the emergency department. Ann Am Thorac Soc. 2018; 15:1328–1335
Blayney MC, Donaldson L, Smith P, et al.; Scottish Intensive Care Society Audit Group: Intensive care unit occupancy and premature discharge rates: A cohort study assessing the reporting of quality indicators. J Crit Care. 2020; 55:100–107
Forster GM, Bihari S, Tiruvoipati R, et al.: The association between discharge delay from intensive care and patient outcomes. Am J Respir Crit Care Med. 2020; 202:1399–1406
Gershengorn HB, Pilcher DV, Litton E, et al.: Association between consecutive days worked by intensivists and outcomes for critically ill patients. Crit Care Med. 2020; 48:594–598
Neuraz A, Guérin C, Payet C, et al.: Patient mortality is associated with staff resources and workload in the ICU: A multicenter observational study. Crit Care Med. 2015; 43:1587–1594
Rae PJL, Pearce S, Greaves PJ, et al.: Outcomes sensitive to critical care nurse staffing levels: A systematic review. Intensive Crit Care Nurs. 2021; 67:103110
Zampieri FG, Salluh JIF, Azevedo LCP, et al.; ORCHESTRA Study Investigators: ICU staffing feature phenotypes and their relationship with patients’ outcomes: An unsupervised machine learning analysis. Intensive Care Med. 2019; 45:1599–1607
Anesi GL, Admon AJ, Halpern SD, et al.: Understanding irresponsible use of intensive care unit resources in the USA. Lancet Respir Med. 2019; 7:605–612

Auteurs

David V Pilcher (DV)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.
Department of Intensive Care, Alfred Health, Commercial Road, Prahran, VIC, Australia.
Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Department of Intensive Care, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.
College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.
Adult Retrieval Victoria, Ambulance Victoria, South Melbourne, VIC, Australia.
Department of Intensive Care, St. Vincent's Hospital, Darlinghurst, NSW, Australia.
Department of Intensive Care, Alice Springs Hospital, Alice Springs, NT, Australia.
Department of Intensive Care, Fiona Stanley Hospital, Murdoch, WA, Australia.

Tamishta Hensman (T)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.
Department of Intensive Care, Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom.

Shailesh Bihari (S)

College of Medicine and Public Health, Flinders University, Adelaide, SA, Australia.

Michael Bailey (M)

Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.

Jason McClure (J)

Department of Intensive Care, Alfred Health, Commercial Road, Prahran, VIC, Australia.
Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Adult Retrieval Victoria, Ambulance Victoria, South Melbourne, VIC, Australia.

Mark Nicholls (M)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.
Department of Intensive Care, St. Vincent's Hospital, Darlinghurst, NSW, Australia.

Shaila Chavan (S)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.

Paul Secombe (P)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.
Australian and New Zealand Intensive Care Research Centre, Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC, Australia.
Department of Intensive Care, Alice Springs Hospital, Alice Springs, NT, Australia.

Melissa Rosenow (M)

Adult Retrieval Victoria, Ambulance Victoria, South Melbourne, VIC, Australia.

Sue Huckson (S)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.

Edward Litton (E)

The Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation, Prahran, VIC, Australia.
Department of Intensive Care, Fiona Stanley Hospital, Murdoch, WA, Australia.

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