Comparison of four high-throughput, automated immunoassays for the detection of SARS-CoV-2 antibodies.


Journal

Annals of clinical biochemistry
ISSN: 1758-1001
Titre abrégé: Ann Clin Biochem
Pays: England
ID NLM: 0324055

Informations de publication

Date de publication:
09 2021
Historique:
pubmed: 25 4 2021
medline: 24 9 2021
entrez: 24 4 2021
Statut: ppublish

Résumé

A number of immunoassays have been developed to measure antibodies specific to SARS-CoV-2. More data is required on their comparability, particularly among those with milder infections and in the general practice population. The aim of this study was to compare four high-throughput automated anti-SARS-CoV-2 assays using samples collected from hospitalized patients and healthcare workers with confirmed SARS-CoV-2 infection. In addition, we collected general practice samples to compare antibody results and determine seroprevalence. Samples were collected from 57 hospitalized patients and nine healthcare workers at 14 days and at 28 days following confirmed SARS-CoV-2 infection. Samples were also collected from 225 patients presenting to general practice. Four assays were used: Abbott Architect IgG, Beckman Coulter DxI 800 IgG, Roche Cobas e801 total antibody and Siemens Advia Centaur XPT total antibody. All four assays showed concordance at 14 days in 83.9% of hospitalized patients and in 66.7% of healthcare workers. All four assays showed concordance at 28 days in 88.4% of hospitalized patients and 77.8% of healthcare workers. The sensitivity to detect recent infection was higher for the IgG assays than the total assays. All four assays showed concordance of 95.1% in the general practice population. Seroprevalence ranged from 4.9 to 5.8% depending on the assay used. All four assays showed excellent comparability, but it may be possible to obtain a negative result for any of the anti-SARS-CoV-2 assays in patients with confirmed previous SARS-CoV-2 infection. An equivocal range would be useful for all anti-SARS-CoV-2 assays.

Sections du résumé

BACKGROUND
A number of immunoassays have been developed to measure antibodies specific to SARS-CoV-2. More data is required on their comparability, particularly among those with milder infections and in the general practice population. The aim of this study was to compare four high-throughput automated anti-SARS-CoV-2 assays using samples collected from hospitalized patients and healthcare workers with confirmed SARS-CoV-2 infection. In addition, we collected general practice samples to compare antibody results and determine seroprevalence.
METHODS
Samples were collected from 57 hospitalized patients and nine healthcare workers at 14 days and at 28 days following confirmed SARS-CoV-2 infection. Samples were also collected from 225 patients presenting to general practice. Four assays were used: Abbott Architect IgG, Beckman Coulter DxI 800 IgG, Roche Cobas e801 total antibody and Siemens Advia Centaur XPT total antibody.
RESULTS
All four assays showed concordance at 14 days in 83.9% of hospitalized patients and in 66.7% of healthcare workers. All four assays showed concordance at 28 days in 88.4% of hospitalized patients and 77.8% of healthcare workers. The sensitivity to detect recent infection was higher for the IgG assays than the total assays. All four assays showed concordance of 95.1% in the general practice population. Seroprevalence ranged from 4.9 to 5.8% depending on the assay used.
CONCLUSIONS
All four assays showed excellent comparability, but it may be possible to obtain a negative result for any of the anti-SARS-CoV-2 assays in patients with confirmed previous SARS-CoV-2 infection. An equivocal range would be useful for all anti-SARS-CoV-2 assays.

Identifiants

pubmed: 33892600
doi: 10.1177/00045632211015711
doi:

Substances chimiques

Antibodies, Viral 0

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

487-495

Auteurs

Jane Oakey (J)

Department of Clinical Biochemistry, East Lancashire Hospitals NHS Trust, Blackburn, UK.

Shonagh Haslam (S)

Department of Clinical Biochemistry, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, UK.

Andrew Brown (A)

Department of Clinical Biochemistry, University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, UK.

Janet Eglin (J)

Department of Clinical Biochemistry, University Hospitals of Morecambe Bay NHS Foundation Trust, Lancaster, UK.

Brittany Houghton (B)

Department of Clinical Biochemistry, Lancashire Teaching Hospitals NHS Foundation Trust, Preston, UK.

Dawn Singleton (D)

Department of Virology, Blackpool Teaching Hospitals NHS Foundation Trust, Blackpool, UK.

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Classifications MeSH