Evidence map›Paper›PMID 36381618›Full record

ArticleOpen forum infectious diseases2022

Viral Coinfections in Hospitalized Coronavirus Disease 2019 Patients Recruited to the International Severe Acute Respiratory and Emerging Infections Consortium WHO Clinical Characterisation Protocol UK Study.

Elen Vink, Chris Davis, Alasdair MacLean, David Pascall, Sarah E McDonald, Rory Gunson, Hayley E Hardwick, Wilna Oosthuyzen, Peter J M Openshaw, J Kenneth Baillie and 3 more

Open access · goldAbstract read
In one paragraph

Article in Open forum infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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

13 authors at 6 institutions in 2 countries.

Elen VinkMedical Research Council-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0001-8535-6214
Chris DavisMedical Research Council-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.
Alasdair MacLeanWest of Scotland Specialist Virology Centre, NHS Greater Glasgow and Clyde, Glasgow, United Kingdom.
David PascallMRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Sarah E McDonaldMedical Research Council-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.
Rory GunsonWest of Scotland Specialist Virology Centre, NHS Greater Glasgow and Clyde, Glasgow, United Kingdom.
Hayley E HardwickNIHR Health 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, United Kingdom.
Wilna OosthuyzenRoslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Peter J M OpenshawNational Heart and Lung Institute, Imperial College London, London, United Kingdom.
J Kenneth BaillieRoslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
Malcolm G SempleNIHR Health 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, United Kingdom.
Antonia HoMedical Research Council-University of Glasgow Centre for Virus Research, University of Glasgow, Glasgow, United Kingdom.ORCID https://orcid.org/0000-0003-1465-3785
ISARIC4C Investigators
MRC University of Glasgow Centre for Virus Research · GBRoslin Institute · GBImperial College London · GBJuniper Networks (United States) · USUniversity of Liverpool · GBNHS Greater Glasgow and Clyde · GB

Funding

Medical Research Council MC_PC_19025Medical Research Council MC_PC_19026Medical Research Council MC_PC_19059Medical Research Council MR/S032304/1Wellcome Trust
6 · The paper itself

Abstract

Background: We conducted this study to assess the prevalence of viral coinfection in a well characterized cohort of hospitalized coronavirus disease 2019 (COVID-19) patients and to investigate the impact of coinfection on disease severity. Methods: Multiplex real-time polymerase chain reaction testing for endemic respiratory viruses was performed on upper respiratory tract samples from 1002 patients with COVID-19, aged <1 year to 102 years old, recruited to the International Severe Acute Respiratory and Emerging Infections Consortium WHO Clinical Characterisation Protocol UK study. Comprehensive demographic, clinical, and outcome data were collected prospectively up to 28 days post discharge. Results: A coinfecting virus was detected in 20 (2.0%) participants. Multivariable analysis revealed no significant risk factors for coinfection, although this may be due to rarity of coinfection. Likewise, ordinal logistic regression analysis did not demonstrate a significant association between coinfection and increased disease severity. Conclusions: Viral coinfection was rare among hospitalized COVID-19 patients in the United Kingdom during the first 18 months of the pandemic. With unbiased prospective sampling, we found no evidence of an association between viral coinfection and disease severity. Public health interventions disrupted normal seasonal transmission of respiratory viruses; relaxation of these measures mean it will be important to monitor the prevalence and impact of respiratory viral coinfections going forward.

Indexed as

disease severityPCRrespiratory virusrhinovirusSARS-CoV-2surveillance

Identifiers

PMID36381618
PMCPMC9619746
OpenAlexW4304091412

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.