An evaluation of 4 commercial assays for the detection of SARS-CoV-2 antibodies in a predominantly mildly symptomatic low prevalence Australian population.


Journal

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology
ISSN: 1873-5967
Titre abrégé: J Clin Virol
Pays: Netherlands
ID NLM: 9815671

Informations de publication

Date de publication:
05 2021
Historique:
received: 22 12 2020
revised: 28 02 2021
accepted: 14 03 2021
pubmed: 27 3 2021
medline: 13 5 2021
entrez: 26 3 2021
Statut: ppublish

Résumé

A total of 1080 individual patient samples (158 positive serology samples from confirmed, predominantly mildly symptomatic COVID-19 patients and 922 serology negative including 496 collected pre-COVID) from four states in Australia were analysed on four commercial SARS-CoV-2 serological assays targeting antibodies to different antigens (Roche Elecsys and Abbott Architect: nucleocapsid; Diasorin Liaison and Euroimmun: spike). A subset was compared to immunofluorescent antibody (IFA) and micro-neutralisation. Sensitivity and specificity of the Roche (n = 1033), Abbott (n = 806), Diasorin (n = 1034) and Euroimmun (n = 175) were 93.7 %/99.5 %, 90.2 %/99.4 %, 88.6 %/98.6 % and 91.3 %/98.8 %, respectively. ROC analysis with specificity held at 99 % increased the sensitivity for the Roche and Abbott assays from 93.7% to 98.7% (cut-off 0.21) and 90.2 % to 94.0 % (cut-off 0.91), respectively. Overall seropositivity of samples increased from a maximum of 23 % for samples 0-7 days-post-onset of symptoms (dpos), to 61 % from samples 8-14dpos and 93 % from those >14dpos. IFA and microneutralisation values correlated best with assays targeting antibodies to spike protein with values >80 AU/mL on the Diasorin assay associated with neutralising antibody. Detectable antibody was present in 22/23 (96 %), 20/23 (87 %), 15/23 (65 %) and 9/22 (41 %) patients with samples >180dpos on the Roche, Diasorin, Abbott and microneutralisation assays respectively. Given the low prevalence in this community, two-step algorithms on initial positive results saw an increase in the positive predictive value (PPV) of positive samples (39 %-65 % to ≥98 %) for all combinations. Similarly accuracy increased from a range of 98.5 %-99.4 % to ≥99.8 % assuming a 1 % seroprevalence. Negative predictive value (NPV) was high (≥99.8 %) regardless of which assay was used initially.

Identifiants

pubmed: 33770657
pii: S1386-6532(21)00064-0
doi: 10.1016/j.jcv.2021.104797
pmc: PMC7968170
pii:
doi:

Substances chimiques

Antibodies, Viral 0
Coronavirus Nucleocapsid Proteins 0
Immunoglobulin Isotypes 0
Phosphoproteins 0
Reagent Kits, Diagnostic 0
Spike Glycoprotein, Coronavirus 0
nucleocapsid phosphoprotein, SARS-CoV-2 0
spike protein, SARS-CoV-2 0

Types de publication

Evaluation Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104797

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

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Auteurs

Michael C Wehrhahn (MC)

Department of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia. Electronic address: mwehrhahn@dhm.com.au.

Suzanne J Brown (SJ)

Department of Endocrinology, Sir Charles Gairdner Hospital, Western Australia, Australia.

James P Newcombe (JP)

Department of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia; NSW Health Pathology, Department of Microbiology, Royal North Shore Hospital, New South Wales, Australia.

Smathi Chong (S)

Department of Microbiology, Clinipath Pathology, Western Australia, Australia.

Jenny Evans (J)

Department of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.

Melanie Figtree (M)

NSW Health Pathology, Department of Microbiology, Royal North Shore Hospital, New South Wales, Australia.

Laurence Hainke (L)

Department of Microbiology, Clinipath Pathology, Western Australia, Australia.

Linda Hueston (L)

NSW Health Pathology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia.

Sadid Khan (S)

Department of Microbiology, Melbourne Pathology, Victoria, Australia.

Elizabeth Marland (E)

Department of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia.

Matthew V N O'Sullivan (MVN)

NSW Health Pathology, Institute of Clinical Pathology and Medical Research, Westmead, New South Wales, Australia; Faculty of Medicine and Health, University of Sydney, New South Wales, Australia.

Helen Powell (H)

Department of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.

Jhumur Roy (J)

Department of Microbiology, Clinpath Pathology, South Australia, Australia.

Lynette Waring (L)

Department of Microbiology, Melbourne Pathology, Victoria, Australia.

Megan Yu (M)

Department of Microbiology, Douglass Hanly Moir Pathology, New South Wales, Australia.

Jennifer Robson (J)

Department of Microbiology, Sullivan Nicolaides Pathology, Queensland, Australia.

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Classifications MeSH