Accuracy of four lateral flow immunoassays for anti SARS-CoV-2 antibodies: a head-to-head comparative study.


Journal

EBioMedicine
ISSN: 2352-3964
Titre abrégé: EBioMedicine
Pays: Netherlands
ID NLM: 101647039

Informations de publication

Date de publication:
Jun 2021
Historique:
received: 01 03 2021
revised: 30 04 2021
accepted: 12 05 2021
pubmed: 8 6 2021
medline: 2 7 2021
entrez: 7 6 2021
Statut: ppublish

Résumé

SARS-CoV-2 antibody tests are used for population surveillance and might have a future role in individual risk assessment. Lateral flow immunoassays (LFIAs) can deliver results rapidly and at scale, but have widely varying accuracy. In a laboratory setting, we performed head-to-head comparisons of four LFIAs: the Rapid Test Consortium's AbC-19 We observed a clear trade-off between sensitivity and specificity: the IgG band of the SureScreen device and the AbC-19 The estimates of sensitivity and specificity can be used to adjust for test error rates when using these devices to estimate the prevalence of antibody. If tests were used to determine whether an individual has SARS-CoV-2 antibodies, in an example scenario in which 20% of individuals have antibodies we estimate around 5% of positive results on the most specific device would be false positives. Public Health England.

Sections du résumé

BACKGROUND BACKGROUND
SARS-CoV-2 antibody tests are used for population surveillance and might have a future role in individual risk assessment. Lateral flow immunoassays (LFIAs) can deliver results rapidly and at scale, but have widely varying accuracy.
METHODS METHODS
In a laboratory setting, we performed head-to-head comparisons of four LFIAs: the Rapid Test Consortium's AbC-19
FINDINGS RESULTS
We observed a clear trade-off between sensitivity and specificity: the IgG band of the SureScreen device and the AbC-19
INTERPRETATION CONCLUSIONS
The estimates of sensitivity and specificity can be used to adjust for test error rates when using these devices to estimate the prevalence of antibody. If tests were used to determine whether an individual has SARS-CoV-2 antibodies, in an example scenario in which 20% of individuals have antibodies we estimate around 5% of positive results on the most specific device would be false positives.
FUNDING BACKGROUND
Public Health England.

Identifiants

pubmed: 34098341
pii: S2352-3964(21)00207-3
doi: 10.1016/j.ebiom.2021.103414
pmc: PMC8176919
pii:
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

103414

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom

Informations de copyright

Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest JS and KP report financial activities on behalf of WHO in 2018 and 2019 in evaluation of several other rapid test kits. MH declares unrelated and unrestricted speaker fees and travel expenses in last 3 years from MSD and Gillead. JD has received grants from Merck, Novartis, Pfizer and AstraZeneca and personal fees and non-financial support from Pfizer Population Research Advisory Panel. Outside of this work, RB and EL perform meningococcal contract research on behalf of PHE for GSK, Pfizer and Sanofi Pasteur. All other authors declare no conflicts of interest.

Auteurs

Hayley E Jones (HE)

Population Health Sciences, Bristol Medical School, University of Bristol, UK; NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, UK. Electronic address: hayley.jones@bristol.ac.uk.

Ranya Mulchandani (R)

Public Health England, UK.

Sian Taylor-Phillips (S)

Warwick Medical School, University of Warwick, UK.

A E Ades (AE)

Population Health Sciences, Bristol Medical School, University of Bristol, UK.

Justin Shute (J)

Public Health England, UK.

Keith R Perry (KR)

Public Health England, UK.

Nastassya L Chandra (NL)

Public Health England, UK.

Tim Brooks (T)

Public Health England, UK.

Andre Charlett (A)

Public Health England, UK.

Matthew Hickman (M)

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

Isabel Oliver (I)

NIHR Health Protection Research Unit (HPRU) in Behavioural Science and Evaluation, University of Bristol, UK; Public Health England, UK.

Stephen Kaptoge (S)

Department of Public Health and Primary Care, University of Cambridge, UK.

John Danesh (J)

Department of Public Health and Primary Care, University of Cambridge, UK.

Emanuele Di Angelantonio (E)

Department of Public Health and Primary Care, University of Cambridge, UK.

David Wyllie (D)

Public Health England, UK.

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