Stringent thresholds in SARS-CoV-2 IgG assays lead to under-detection of mild infections.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
18 Feb 2021
Historique:
received: 26 11 2020
accepted: 22 01 2021
entrez: 19 2 2021
pubmed: 20 2 2021
medline: 24 2 2021
Statut: epublish

Résumé

Thresholds for SARS-CoV-2 antibody assays have typically been determined using samples from symptomatic, often hospitalised, patients. In this setting the sensitivity and specificity of the best performing assays can both exceed 98%. However, antibody assay performance following mild infection is less clear. We assessed quantitative IgG responses in a cohort of healthcare workers in Oxford, UK, with a high pre-test probability of Covid-19, in particular the 991/11,475(8.6%) who reported loss of smell/taste. We use anosmia/ageusia and other risk factors as probes for Covid-19 infection potentially undiagnosed by immunoassays by investigating their relationship with antibody readings either side of assay thresholds. The proportion of healthcare workers reporting anosmia/ageusia increased at antibody readings below diagnostic thresholds using an in-house ELISA (n = 9324) and the Abbott Architect chemiluminescent microparticle immunoassay (CMIA; n = 11,324): 426/906 (47%) reported anosmia/ageusia with a positive ELISA, 59/449 (13.1%) with high-negative and 326/7969 (4.1%) with low-negative readings. Similarly, by CMIA, 518/1093 (47.4%) with a positive result reported anosmia/ageusia, 106/686 (15.5%) with a high-negative and 358/9563 (3.7%) with a low-negative result. Adjusting for the proportion of staff reporting anosmia/ageusia suggests the sensitivity of both assays in mild infection is lower than previously reported: Oxford ELISA 89.8% (95%CI 86.6-92.8%) and Abbott CMIA 79.3% (75.9-82.7%). Following mild SARS-CoV-2 infection 10-30% of individuals may have negative immunoassay results. While lowered diagnostic thresholds may result in unacceptable specificity, our findings have implications for epidemiological analyses and result interpretation in individuals with a high pre-test probability. Samples from mild PCR-confirmed infections should be included in SARS-CoV-2 immunoassay evaluations.

Sections du résumé

BACKGROUND BACKGROUND
Thresholds for SARS-CoV-2 antibody assays have typically been determined using samples from symptomatic, often hospitalised, patients. In this setting the sensitivity and specificity of the best performing assays can both exceed 98%. However, antibody assay performance following mild infection is less clear.
METHODS METHODS
We assessed quantitative IgG responses in a cohort of healthcare workers in Oxford, UK, with a high pre-test probability of Covid-19, in particular the 991/11,475(8.6%) who reported loss of smell/taste. We use anosmia/ageusia and other risk factors as probes for Covid-19 infection potentially undiagnosed by immunoassays by investigating their relationship with antibody readings either side of assay thresholds.
RESULTS RESULTS
The proportion of healthcare workers reporting anosmia/ageusia increased at antibody readings below diagnostic thresholds using an in-house ELISA (n = 9324) and the Abbott Architect chemiluminescent microparticle immunoassay (CMIA; n = 11,324): 426/906 (47%) reported anosmia/ageusia with a positive ELISA, 59/449 (13.1%) with high-negative and 326/7969 (4.1%) with low-negative readings. Similarly, by CMIA, 518/1093 (47.4%) with a positive result reported anosmia/ageusia, 106/686 (15.5%) with a high-negative and 358/9563 (3.7%) with a low-negative result. Adjusting for the proportion of staff reporting anosmia/ageusia suggests the sensitivity of both assays in mild infection is lower than previously reported: Oxford ELISA 89.8% (95%CI 86.6-92.8%) and Abbott CMIA 79.3% (75.9-82.7%).
CONCLUSION CONCLUSIONS
Following mild SARS-CoV-2 infection 10-30% of individuals may have negative immunoassay results. While lowered diagnostic thresholds may result in unacceptable specificity, our findings have implications for epidemiological analyses and result interpretation in individuals with a high pre-test probability. Samples from mild PCR-confirmed infections should be included in SARS-CoV-2 immunoassay evaluations.

Identifiants

pubmed: 33602152
doi: 10.1186/s12879-021-05878-2
pii: 10.1186/s12879-021-05878-2
pmc: PMC7889711
doi:

Substances chimiques

Antibodies, Viral 0
Immunoglobulin G 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

187

Subventions

Organisme : Medical Research Council
ID : G1100525
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_00008/6
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/N00065X/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/V001329/1
Pays : United Kingdom

Références

J Clin Virol. 2020 Sep;130:104542
pubmed: 32707511
Clin Infect Dis. 2020 Jun 30;:
pubmed: 32603425
Lancet Infect Dis. 2020 Dec;20(12):1390-1400
pubmed: 32979318
Laryngoscope. 2004 Oct;114(10):1764-9
pubmed: 15454769
Laryngoscope. 2007 Feb;117(2):272-7
pubmed: 17277621
Otolaryngol Clin North Am. 2004 Dec;37(6):1159-66
pubmed: 15563908
EBioMedicine. 2020 Sep;59:102915
pubmed: 32747185
Cochrane Database Syst Rev. 2020 Jun 25;6:CD013652
pubmed: 32584464
Elife. 2020 Aug 21;9:
pubmed: 32820721
Cell. 2020 Oct 1;183(1):158-168.e14
pubmed: 32979941
Clin Infect Dis. 2021 Jan 27;72(2):301-308
pubmed: 33501951
ACS Chem Neurosci. 2020 Oct 7;11(19):2944-2961
pubmed: 32870641
Nat Commun. 2020 Oct 8;11(1):5064
pubmed: 33033249
Lancet Infect Dis. 2020 Jun;20(6):656-657
pubmed: 32199493
Elife. 2020 May 11;9:
pubmed: 32392129
Lancet. 2020 Aug 22;396(10250):535-544
pubmed: 32645347
MMWR Morb Mortal Wkly Rep. 2020 Jun 12;69(23):714-721
pubmed: 32525850

Auteurs

David W Eyre (DW)

Big Data Institute, Nuffield Department of Population Health, University of Oxford, Oxford, UK. david.eyre@bdi.ox.ac.uk.
Oxford University Hospitals NHS Foundation Trust, Oxford, UK. david.eyre@bdi.ox.ac.uk.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK. david.eyre@bdi.ox.ac.uk.
NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK. david.eyre@bdi.ox.ac.uk.
Microbiology Department, John Radcliffe Hospital, Headley Way, Oxford, OX3 9DU, UK. david.eyre@bdi.ox.ac.uk.

Sheila F Lumley (SF)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Denise O'Donnell (D)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Nicole E Stoesser (NE)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
NIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at University of Oxford in partnership with Public Health England, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Philippa C Matthews (PC)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Alison Howarth (A)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Stephanie B Hatch (SB)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Brian D Marsden (BD)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Kennedy Institute of Rheumatology Research, University of Oxford, Oxford, UK.

Stuart Cox (S)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Tim James (T)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Richard J Cornall (RJ)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

David I Stuart (DI)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Gavin Screaton (G)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Daniel Ebner (D)

Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Target Discovery Institute, University of Oxford, Oxford, UK.

Derrick W Crook (DW)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Christopher P Conlon (CP)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

Katie Jeffery (K)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.

Timothy M Walker (TM)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Oxford University Clinical Research Unit, Ho Chi Minh City, Vietnam.

Timothy E A Peto (TEA)

Oxford University Hospitals NHS Foundation Trust, Oxford, UK.
NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.
Nuffield Department of Medicine, University of Oxford, Oxford, UK.

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