Association between self-reported signs and symptoms and SARS-CoV-2 antibody detection in UK key workers.


Journal

The Journal of infection
ISSN: 1532-2742
Titre abrégé: J Infect
Pays: England
ID NLM: 7908424

Informations de publication

Date de publication:
05 2021
Historique:
received: 16 09 2020
revised: 16 01 2021
accepted: 19 03 2021
pubmed: 30 3 2021
medline: 1 5 2021
entrez: 29 3 2021
Statut: ppublish

Résumé

Screening for SARS-CoV-2 antibodies is under way in some key worker groups; how this adds to self-reported COVID-19 illness is unclear. In this study, we investigate the association between self-reported belief of COVID-19 illness and seropositivity. Cross-sectional study of three key worker streams comprising (A) Police and Fire & Rescue (2 sites) (B) healthcare workers (1 site) and (C) healthcare workers with previously positive PCR result (5 sites). We collected self-reported signs and symptoms of COVID-19 and compared this with serology results from two SARS-CoV-2 immunoassays (Roche Elecsys® and EUROIMMUN). Between 01 and 26 June, we recruited 2847 individuals (Stream A: 1,247, Stream B: 1,546 and Stream C: 154). Amongst those without previous positive PCR tests, 687/2,579 (26%) reported belief they had COVID-19, having experienced compatible symptoms; however, only 208 (30.3%) of these were seropositive on both immunoassays. Both immunoassays had high sensitivities relative to previous PCR positivity (>93%); there was also limited decline in antibody titres up to 110 days post symptom onset. Symptomatic but seronegative individuals had differing symptom profiles and shorter illnesses than seropositive individuals. Non-COVID-19 respiratory illness may have been mistaken for COVID-19 during the outbreak; laboratory testing is more specific than self-reported key worker beliefs in ascertaining past COVID-19 disease.

Sections du résumé

BACKGROUND
Screening for SARS-CoV-2 antibodies is under way in some key worker groups; how this adds to self-reported COVID-19 illness is unclear. In this study, we investigate the association between self-reported belief of COVID-19 illness and seropositivity.
METHODS
Cross-sectional study of three key worker streams comprising (A) Police and Fire & Rescue (2 sites) (B) healthcare workers (1 site) and (C) healthcare workers with previously positive PCR result (5 sites). We collected self-reported signs and symptoms of COVID-19 and compared this with serology results from two SARS-CoV-2 immunoassays (Roche Elecsys® and EUROIMMUN).
RESULTS
Between 01 and 26 June, we recruited 2847 individuals (Stream A: 1,247, Stream B: 1,546 and Stream C: 154). Amongst those without previous positive PCR tests, 687/2,579 (26%) reported belief they had COVID-19, having experienced compatible symptoms; however, only 208 (30.3%) of these were seropositive on both immunoassays. Both immunoassays had high sensitivities relative to previous PCR positivity (>93%); there was also limited decline in antibody titres up to 110 days post symptom onset. Symptomatic but seronegative individuals had differing symptom profiles and shorter illnesses than seropositive individuals.
CONCLUSION
Non-COVID-19 respiratory illness may have been mistaken for COVID-19 during the outbreak; laboratory testing is more specific than self-reported key worker beliefs in ascertaining past COVID-19 disease.

Identifiants

pubmed: 33775704
pii: S0163-4453(21)00151-1
doi: 10.1016/j.jinf.2021.03.019
pmc: PMC7997203
pii:
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

151-161

Subventions

Organisme : Medical Research Council
ID : MC_UU_00002/11
Pays : United Kingdom

Informations de copyright

Copyright © 2021. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare no competing interests.

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Auteurs

Ranya Mulchandani (R)

UK Field Epidemiology Training Programme (FETP), Public Health England, London, United Kingdom; Field Service, Midlands, National Infection Service, Public Health England, Birmingham, United Kingdom.

Sian Taylor-Philips (S)

Warwick Medical School, University of Warwick, Warwick, United Kingdom.

Hayley E Jones (HE)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom.

A E Ades (AE)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom.

Ray Borrow (R)

Seroepidemiology Unit (SEU), Manchester Royal Infirmary, Public Health England, Manchester, United Kingdom.

Ezra Linley (E)

Seroepidemiology Unit (SEU), Manchester Royal Infirmary, Public Health England, Manchester, United Kingdom.

Peter D Kirwan (PD)

Medical Research Council Biostatistics Unit, School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom.

Richard Stewart (R)

Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, United Kingdom.

Philippa Moore (P)

Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom.

John Boyes (J)

Gloucestershire Hospitals NHS Foundation Trust, Gloucester, United Kingdom.

Anil Hormis (A)

The Rotherham NHS Foundation Trust, Rotherham, United Kingdom.

Neil Todd (N)

York Teaching Hospital NHS Foundation Trust, York, United Kingdom.

Antoanela Colda (A)

Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, United Kingdom.

Ian Reckless (I)

Milton Keynes University Hospital NHS Foundation Trust, Milton Keynes, United Kingdom.

Tim Brooks (T)

Rare and Imported Pathogens Laboratory (RIPL), Porton Down, Public Health England, Salisbury, United Kingdom.

Andre Charlett (A)

Statistical Unit, Public Health England, London, United Kingdom.

Matthew Hickman (M)

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom.

Isabel Oliver (I)

NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom; National Infection Service, Public Health England, Bristol, United Kingdom.

David Wyllie (D)

Field Service, East of England, National Infection Service, Public Health England, Cambridge, United Kingdom; NIHR Health Protection Research Unit (HPRU) in Genomics and Data Enabling, University of Warwick, Warwick, United Kingdom. Electronic address: david.wyllie@phe.gov.uk.

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