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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
immunology and microbiology
Head-to-head validation of six immunoassays for SARS-CoV-2 in hospitalized patients
Journal of Clinical Virology, Volume 139, Article 104821, Year 2021
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Description
Background: Detecting SARS-CoV-2 antibodies may help to diagnose COVID-19. Head-to-head validation of different types of immunoassays in well-characterized cohorts of hospitalized patients remains needed. Methods: We validated three chemiluminescence immunoassays (CLIAs) (Liaison, Elecsys, and Abbott) and one single molecule array assay (SIMOA) (Quanterix) for automated analyzers, one rapid immunoassay RIA (AllTest), and one ELISA (Wantai) in parallel in first samples from 126 PCR confirmed COVID-19 hospitalized patients and 158 pre-COVID-19 patients. Specificity of the AllTest was also tested in 106 patients with confirmed parasitic and dengue virus infections. Specificity of the Wantai assay was not tested due to limitations in sample volumes. Results: Overall sensitivity in first samples was 70.6 % for the Liaison, 71.4 % for the Elecsys, 75.4 % for the Abbott, 70.6 % for the Quanterix, 77.8 % for the AllTest, and 88.9 % for the Wantai assay, respectively. Sensitivity was between 77.4 % (Liaison) and 94.0 % (Wantai) after 10 dpso. No false positive results were observed for the Elecsys and Abbott assays. Specificity was 91.1 % for the Quanterix, 96.2 % for the Liaison, and 98.1 % for the AllTest assay, respectively. Conclusion: We conclude that low sensitivity of all immunoassays limits their use early after onset of illness in diagnosing COVID-19 in hospitalized patients. After 10 dpso, the Wantai ELISA has a relatively high sensitivity, followed by the point-of-care AllTest RIA that compares favorably with automated analyzer immunoassays. © 2021 The Author(s)
Authors & Co-Authors
Jurriaans, Suzanne
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
van Gool, Tom
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
Heijboer, Annemieke Corine
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
de Bree, Godelieve J.
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
van Vugt, Michèle V.
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
Van Houdt, Robin
Netherlands, Amsterdam
Amsterdam Umc - Vrije Universiteit Amsterdam
van Baarle, Frank E.F.P.
Unknown Affiliation
Bogaard, H. J.
Unknown Affiliation
Bos, Lieuwe D.J.
Unknown Affiliation
de Brabander, Justin
Unknown Affiliation
Brouwer, Matthijs C.
Unknown Affiliation
de Bruin, Sanne
Unknown Affiliation
Bugiani, Marianna
Unknown Affiliation
Elbers, Paul W.G.
Unknown Affiliation
Geerlings, Suzanne Eugenie
Unknown Affiliation
Geerts, Bart F.
Unknown Affiliation
Goorhuis, Abram
Unknown Affiliation
Grobusch, Martín Peter
Unknown Affiliation
Hagens, Laura A.
Unknown Affiliation
Harris, Vanessa C.
Unknown Affiliation
Hermans, S. M.
Unknown Affiliation
Heunks, Leo M.A.
Unknown Affiliation
Hollmann, Markus Wiersma
Unknown Affiliation
Horn, Janneke
Unknown Affiliation
Hovius, Joppe Willem R.
Unknown Affiliation
Koning, Rutger
Unknown Affiliation
Peters, Edgar J.
Unknown Affiliation
van der Poll, Tom
Unknown Affiliation
Prins, Jan M.
Unknown Affiliation
Schultz, Marcus Josephus
Unknown Affiliation
Sigaloff, Kim Catherina Eve
Unknown Affiliation
Smit, Marry R.
Unknown Affiliation
van der Valk, Marc
Unknown Affiliation
Veelo, Denise Petra
Unknown Affiliation
Vlaar, Alexander Petrus Johannes
Unknown Affiliation
Wiersinga, Willem Joost
Unknown Affiliation
Zwinderman, Aeilko Having Koos
Unknown Affiliation
van de Beek, Diederik V.D.
Unknown Affiliation
Statistics
Citations: 9
Authors: 38
Affiliations: 1
Identifiers
Doi:
10.1016/j.jcv.2021.104821
ISSN:
13866532
Research Areas
Covid
Infectious Diseases
Study Design
Cohort Study