Evidence map›Paper›PMID 34461893›Full record

Observational studyBMC medicine2021

The association between mechanical ventilator compatible bed occupancy and mortality risk in intensive care patients with COVID-19: a national retrospective cohort study.

Harrison Wilde, Thomas Mellan, Iwona Hawryluk, John M Dennis, Spiros Denaxas, Christina Pagel, Andrew Duncan, Samir Bhatt, Seth Flaxman, Bilal A Mateen and 1 more

Abstract readObservational Study
In one paragraph

Observational study in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

  1. Trial
  2. Article
  3. Pediatric critical care capacity in Canada.Paediatrics & child health · 2025
    Article
  4. Article
  5. The Challenges Experienced by ICU Nurses in Kuwait during the COVID-19 Pandemic.International journal of nursing studies advances · 2024
    Article
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  10. Observational
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  13. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Harrison Wilde *Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK.
Thomas Mellan *MRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK.
Iwona HawrylukMRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK.
John M DennisInstitute of Biomedical & Clinical Science, RILD Building, Royal Devon & Exeter Hospital, University of Exeter Medical School, Barrack Road, Exeter, EX2 5DW, UK.
Spiros DenaxasThe Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK.
Christina PagelClinical Operational Research Unit, University College London, 222 Euston Rd, London, London, NW1 2DA, UK.
Andrew DuncanThe Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK.
Samir BhattMRC Centre for Global Infectious Disease Analysis, Abdul Latif Jameel Institute for Disease and Emergency Analytics (J-IDEA), Imperial College London, London, UK.
Seth Flaxman *Department of Mathematics, Imperial College, London, London, UK.
Bilal A Mateen *The Alan Turing Institute, British Library, 96 Euston Road, London, NW1 2DB, UK. bilal.mateen@nhs.net.ORCID 0000-0003-4423-6472
Sebastian J Vollmer *Department of Statistics, University of Warwick, Coventry, CV4 7AL, UK.

Funding

Medical Research Council MC_PC_19012Medical Research Council MC_PC_20058Medical Research Council MR/K006584/1Medical Research Council MR/R015600/1Medical Research Council MR/V038109/1
6 · The paper itself

Abstract

backgroundThe literature paints a complex picture of the association between mortality risk and ICU strain. In this study, we sought to determine if there is an association between mortality risk in intensive care units (ICU) and occupancy of beds compatible with mechanical ventilation, as a proxy for strain.

methodsA national retrospective observational cohort study of 89 English hospital trusts (i.e. groups of hospitals functioning as single operational units). Seven thousand one hundred thirty-three adults admitted to an ICU in England between 2 April and 1 December, 2020 (inclusive), with presumed or confirmed COVID-19, for whom data was submitted to the national surveillance programme and met study inclusion criteria. A Bayesian hierarchical approach was used to model the association between hospital trust level (mechanical ventilation compatible), bed occupancy, and in-hospital all-cause mortality. Results were adjusted for unit characteristics (pre-pandemic size), individual patient-level demographic characteristics (age, sex, ethnicity, deprivation index, time-to-ICU admission), and recorded chronic comorbidities (obesity, diabetes, respiratory disease, liver disease, heart disease, hypertension, immunosuppression, neurological disease, renal disease).

resultsOne hundred thirty-five thousand six hundred patient days were observed, with a mortality rate of 19.4 per 1000 patient days. Adjusting for patient-level factors, mortality was higher for admissions during periods of high occupancy (> 85% occupancy versus the baseline of 45 to 85%) [OR 1.23 (95% posterior credible interval (PCI): 1.08 to 1.39)]. In contrast, mortality was decreased for admissions during periods of low occupancy (< 45% relative to the baseline) [OR 0.83 (95% PCI 0.75 to 0.94)].

conclusionIncreasing occupancy of beds compatible with mechanical ventilation, a proxy for operational strain, is associated with a higher mortality risk for individuals admitted to ICU. Further research is required to establish if this is a causal relationship or whether it reflects strain on other operational factors such as staff. If causal, the result highlights the importance of strategies to keep ICU occupancy low to mitigate the impact of this type of resource saturation.

Indexed as

Cause of DeathHospital MortalityIntensive Care UnitsVentilators, MechanicalAdolescentAdultAgedAged, 80 and overBayes TheoremBed OccupancyCOVID-19Critical CareFemaleHumansMaleMiddle AgedCoronavirus infectionCritical careHospital mortalityPublic health surveillanceQuality of healthcare

Identifiers

PMID34461893
PMCPMC8404408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.