Evidence map›Paper›PMID 35077449›Full record

ArticlePLoS medicine2022

Overall and cause-specific hospitalisation and death after COVID-19 hospitalisation in England: A cohort study using linked primary care, secondary care, and death registration data in the OpenSAFELY platform.

Krishnan Bhaskaran, Christopher T Rentsch, George Hickman, William J Hulme, Anna Schultze, Helen J Curtis, Kevin Wing, Charlotte Warren-Gash, Laurie Tomlinson, Chris J Bates and 22 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Article
  5. Major Adverse Cardiovascular Events and Cause-Specific Mortality After Hospitalisation in COPD.International journal of chronic obstructive pulmonary disease · 2025
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  14. Epidemiological impacts of post-infection mortality.Proceedings. Biological sciences · 2023
    Article
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  16. Review
  17. Article
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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

32 authors at 2 institutions in 1 country.

Krishnan BhaskaranFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-5364-8757
Christopher T RentschFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-1408-7907
George HickmanThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6691-4046
William J HulmeThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-9162-4999
Anna SchultzeFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-1637-837X
Helen J CurtisThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-3429-9576
Kevin WingFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0003-2335-9641
Charlotte Warren-GashFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Laurie TomlinsonFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8848-9493
Chris J BatesTPP, TPP House, Horsforth, Leeds, United Kingdom.ORCID 0000-0003-0113-2593
Rohini MathurFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-3817-8790
Brian MacKennaThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-3786-9063
Viyaasan MahalingasivamFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Angel WongFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-8618-7333
Alex J WalkerThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-4932-6135
Caroline E MortonThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0003-0783-0042
Daniel GrintFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0001-8001-6544
Amir MehrkarThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-2098-1278
Rosalind M EggoFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-0362-6717
Peter InglesbyThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Ian J DouglasFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0002-8970-1406
Helen I McDonaldFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID 0000-0003-0576-2015
Jonathan CockburnTPP, TPP House, Horsforth, Leeds, United Kingdom.ORCID 0000-0002-4681-4873
Elizabeth J WilliamsonFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
David EvansThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-1100-079X
John ParryTPP, TPP House, Horsforth, Leeds, United Kingdom.ORCID 0000-0002-0190-1121
Frank HesterTPP, TPP House, Horsforth, Leeds, United Kingdom.ORCID 0000-0001-6264-2883
Sam HarperTPP, TPP House, Horsforth, Leeds, United Kingdom.
Stephen Jw EvansFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Sebastian BaconThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-6354-3454
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Ben GoldacreThe DataLab, Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID 0000-0002-5127-4728
London School of Hygiene & Tropical Medicine · GBUniversity of Oxford · GB

Funding

Medical Research Council MC_PC_20058Medical Research Council MR/R010161/1Medical Research Council MR/S003975/1Medical Research Council MR/V015737/1Wellcome Trust 201440/Z/16/ZWellcome Trust 220283/Z/20/Z
6 · The paper itself

Abstract

backgroundThere is concern about medium to long-term adverse outcomes following acute Coronavirus Disease 2019 (COVID-19), but little relevant evidence exists. We aimed to investigate whether risks of hospital admission and death, overall and by specific cause, are raised following discharge from a COVID-19 hospitalisation. METHODS AND

findingsWith the approval of NHS-England, we conducted a cohort study, using linked primary care and hospital data in OpenSAFELY to compare risks of hospital admission and death, overall and by specific cause, between people discharged from COVID-19 hospitalisation (February to December 2020) and surviving at least 1 week, and (i) demographically matched controls from the 2019 general population; and (ii) people discharged from influenza hospitalisation in 2017 to 2019. We used Cox regression adjusted for age, sex, ethnicity, obesity, smoking status, deprivation, and comorbidities considered potential risk factors for severe COVID-19 outcomes. We included 24,673 postdischarge COVID-19 patients, 123,362 general population controls, and 16,058 influenza controls, followed for ≤315 days. COVID-19 patients had median age of 66 years, 13,733 (56%) were male, and 19,061 (77%) were of white ethnicity. Overall risk of hospitalisation or death (30,968 events) was higher in the COVID-19 group than general population controls (fully adjusted hazard ratio [aHR] 2.22, 2.14 to 2.30, p < 0.001) but slightly lower than the influenza group (aHR 0.95, 0.91 to 0.98, p = 0.004). All-cause mortality (7,439 events) was highest in the COVID-19 group (aHR 4.82, 4.48 to 5.19 versus general population controls [p < 0.001] and 1.74, 1.61 to 1.88 versus influenza controls [p < 0.001]). Risks for cause-specific outcomes were higher in COVID-19 survivors than in general population controls and largely similar or lower in COVID-19 compared with influenza patients. However, COVID-19 patients were more likely than influenza patients to be readmitted or die due to their initial infection or other lower respiratory tract infection (aHR 1.37, 1.22 to 1.54, p < 0.001) and to experience mental health or cognitive-related admission or death (aHR 1.37, 1.02 to 1.84, p = 0.039); in particular, COVID-19 survivors with preexisting dementia had higher risk of dementia hospitalisation or death (age- and sex-adjusted HR 2.47, 1.37 to 4.44, p = 0.002). Limitations of our study were that reasons for hospitalisation or death may have been misclassified in some cases due to inconsistent use of codes, and we did not have data to distinguish COVID-19 variants.

conclusionsIn this study, we observed that people discharged from a COVID-19 hospital admission had markedly higher risks for rehospitalisation and death than the general population, suggesting a substantial extra burden on healthcare. Most risks were similar to those observed after influenza hospitalisations, but COVID-19 patients had higher risks of all-cause mortality, readmission or death due to the initial infection, and dementia death, highlighting the importance of postdischarge monitoring.

Indexed as

AdolescentAdultAgedAged, 80 and overCase-Control StudiesCause of DeathCOVID-19EnglandFemaleFollow-Up StudiesHospitalizationHumansInformation Storage and RetrievalMaleMiddle AgedPrimary Health Care

Identifiers

PMID35077449
PMCPMC8789178
OpenAlexW4207028604

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LicenceCC BY
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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.