Evidence map›Paper›PMID 34000238›Full record

Observational studyThe Lancet. Respiratory medicine2021

Changes in in-hospital mortality in the first wave of COVID-19: a multicentre prospective observational cohort study using the WHO Clinical Characterisation Protocol UK.

Annemarie B Docherty, Rachel H Mulholland, Nazir I Lone, Christopher P Cheyne, Daniela De Angelis, Karla Diaz-Ordaz, Cara Donegan, Thomas M Drake, Jake Dunning, Sebastian Funk and 20 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Lancet. Respiratory medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Trial
  2. Article
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  6. Article
  7. Observational
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  14. A novel clinical data management platform for acute pancreatitis.Journal of Zhejiang University. Science. B · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Evolution of illness severity in hospital admissions due to COVID-19, Québec, Canada, January to April 2022.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2024
    Article
  19. Article
  20. Observational

2 more citing papers are in PubMed but not listed here.

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

30 authors.

Annemarie B DochertyCentre for Medical Informatics, University of Edinburgh, Edinburgh, UK. Electronic address: annemarie.docherty@ed.ac.uk.
Rachel H MulhollandThe Breathe Hub, University of Edinburgh, Edinburgh, UK.
Nazir I LoneCentre for Population Health Sciences, University of Edinburgh, Edinburgh, UK.
Christopher P CheyneDepartment of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Daniela De AngelisMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Karla Diaz-OrdazLondon School of Hygiene & Tropical Medicine, London, UK.
Cara DoneganHealth Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Thomas M DrakeCentre for Medical Informatics, University of Edinburgh, Edinburgh, UK.
Jake DunningNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK.
Sebastian FunkLondon School of Hygiene & Tropical Medicine, London, UK.
Marta García-FiñanaDepartment of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Michelle GirvanLiverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
Hayley E HardwickHealth Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Janet HarrisonLiverpool Clinical Trials Centre, University of Liverpool, Liverpool, UK.
Antonia HoMRC University of Glasgow Centre for Virus Research, Glasgow, UK.
David M HughesDepartment of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Ruth H KeoghLondon School of Hygiene & Tropical Medicine, London, UK.
Peter D KirwanMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Gary LeemingDepartment of Health Data Science, Institute of Population Health, University of Liverpool, Liverpool, UK.
Jonathan S Nguyen Van-TamDivision of Epidemiology and Public Health, School of Medicine, University of Nottingham, Nottingham, UK.
Riinu PiusCentre for Medical Informatics, University of Edinburgh, Edinburgh, UK.
Clark D RussellThe Usher Institute, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK.
Rebecca G SpencerHealth Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Brian Dm TomMRC Biostatistics Unit, University of Cambridge, Cambridge, UK.
Lance TurtleHealth Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK.
Peter Jm OpenshawNational Heart and Lung Institute, Faculty of Medicine, Imperial College London, London, UK.
J Kenneth BaillieRoslin Institute, University of Edinburgh, Edinburgh, UK.
Ewen M HarrisonCentre for Medical Informatics, University of Edinburgh, Edinburgh, UK.
Malcolm G SempleHealth Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK; Department of Respiratory Medicine, Alder Hey Children's Hospital, Liverpool, UK.
ISARIC4C Investigators

Funding

Medical Research Council G0701652Medical Research Council MC_PC_19004Medical Research Council MC_PC_19025Medical Research Council MC_PC_19026Medical Research Council MC_PC_19059Medical Research Council MC_UU_00002/11Medical Research Council MC_UU_00002/2Medical Research Council MC_UU_12014/9Medical Research Council MR/R024847/1Medical Research Council MR/S017968/1Medical Research Council MR/S032304/1Wellcome Trust 109965/Z/15/Z
6 · The paper itself

Abstract

backgroundMortality rates in hospitalised patients with COVID-19 in the UK appeared to decline during the first wave of the pandemic. We aimed to quantify potential drivers of this change and identify groups of patients who remain at high risk of dying in hospital.

methodsIn this multicentre prospective observational cohort study, the International Severe Acute Respiratory and Emerging Infections Consortium WHO Clinical Characterisation Protocol UK recruited a prospective cohort of patients with COVID-19 admitted to 247 acute hospitals in England, Scotland, and Wales during the first wave of the pandemic (between March 9 and Aug 2, 2020). We included all patients aged 18 years and older with clinical signs and symptoms of COVID-19 or confirmed COVID-19 (by RT-PCR test) from assumed community-acquired infection. We did a three-way decomposition mediation analysis using natural effects models to explore associations between week of admission and in-hospital mortality, adjusting for confounders (demographics, comorbidities, and severity of illness) and quantifying potential mediators (level of respiratory support and steroid treatment). The primary outcome was weekly in-hospital mortality at 28 days, defined as the proportion of patients who had died within 28 days of admission of all patients admitted in the observed week, and it was assessed in all patients with an outcome. This study is registered with the ISRCTN Registry, ISRCTN66726260.

findingsBetween March 9, and Aug 2, 2020, we recruited 80 713 patients, of whom 63 972 were eligible and included in the study. Unadjusted weekly in-hospital mortality declined from 32·3% (95% CI 31·8-32·7) in March 9 to April 26, 2020, to 16·4% (15·0-17·8) in June 15 to Aug 2, 2020. Reductions in mortality were observed in all age groups, in all ethnic groups, for both sexes, and in patients with and without comorbidities. After adjustment, there was a 32% reduction in the risk of mortality per 7-week period (odds ratio [OR] 0·68 [95% CI 0·65-0·71]). The higher proportions of patients with severe disease and comorbidities earlier in the first wave (March and April) than in June and July accounted for 10·2% of this reduction. The use of respiratory support changed during the first wave, with gradually increased use of non-invasive ventilation over the first wave. Changes in respiratory support and use of steroids accounted for 22·2%, OR 0·95 (0·94-0·95) of the reduction in in-hospital mortality.

interpretationThe reduction in in-hospital mortality in patients with COVID-19 during the first wave in the UK was partly accounted for by changes in the case-mix and illness severity. A significant reduction in in-hospital mortality was associated with differences in respiratory support and critical care use, which could partly reflect accrual of clinical knowledge. The remaining improvement in in-hospital mortality is not explained by these factors, and could be associated with changes in community behaviour, inoculum dose, and hospital capacity strain.

fundingNational Institute for Health Research and the Medical Research Council.

Indexed as

Hospital MortalityAgedAged, 80 and overClinical ProtocolsCohort StudiesCOVID-19FemaleHumansMaleMiddle AgedProspective StudiesUnited KingdomWorld Health Organization

Identifiers

PMID34000238
PMCPMC8121531

What OpenQuestion holds

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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.