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Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern

A versatile portfolio of diagnostic tests is essential for the containment of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Besides nucleic acid-based test systems and point-of-care (POCT) antigen (Ag) tests, quantitative, laboratory-based nucleocapsid Ag tests for...

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Autores principales: Osterman, Andreas, Iglhaut, Maximilian, Lehner, Andreas, Späth, Patricia, Stern, Marcel, Autenrieth, Hanna, Muenchhoff, Maximilian, Graf, Alexander, Krebs, Stefan, Blum, Helmut, Baiker, Armin, Grzimek-Koschewa, Natascha, Protzer, Ulrike, Kaderali, Lars, Baldauf, Hanna-Mari, Keppler, Oliver T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377707/
https://www.ncbi.nlm.nih.gov/pubmed/34415422
http://dx.doi.org/10.1007/s00430-021-00719-0
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author Osterman, Andreas
Iglhaut, Maximilian
Lehner, Andreas
Späth, Patricia
Stern, Marcel
Autenrieth, Hanna
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Baiker, Armin
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
author_facet Osterman, Andreas
Iglhaut, Maximilian
Lehner, Andreas
Späth, Patricia
Stern, Marcel
Autenrieth, Hanna
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Baiker, Armin
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
author_sort Osterman, Andreas
collection PubMed
description A versatile portfolio of diagnostic tests is essential for the containment of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Besides nucleic acid-based test systems and point-of-care (POCT) antigen (Ag) tests, quantitative, laboratory-based nucleocapsid Ag tests for SARS-CoV-2 have recently been launched. Here, we evaluated four commercial Ag tests on automated platforms and one POCT to detect SARS-CoV-2. We evaluated PCR-positive (n = 107) and PCR-negative (n = 303) respiratory swabs from asymptomatic and symptomatic patients at the end of the second pandemic wave in Germany (February–March 2021) as well as clinical isolates EU1 (B.1.117), variant of concern (VOC) Alpha (B.1.1.7) or Beta (B.1.351), which had been expanded in a biosafety level 3 laboratory. The specificities of automated SARS-CoV-2 Ag tests ranged between 97.0 and 99.7% (Lumipulse G SARS-CoV-2 Ag (Fujirebio): 97.03%, Elecsys SARS-CoV-2 Ag (Roche Diagnostics): 97.69%; LIAISON(®) SARS-CoV-2 Ag (Diasorin) and SARS-CoV-2 Ag ELISA (Euroimmun): 99.67%). In this study cohort of hospitalized patients, the clinical sensitivities of tests were low, ranging from 17.76 to 52.34%, and analytical sensitivities ranged from 420,000 to 25,000,000 Geq/ml. In comparison, the detection limit of the Roche Rapid Ag Test (RAT) was 9,300,000 Geq/ml, detecting 23.58% of respiratory samples. Receiver-operating-characteristics (ROCs) and Youden’s index analyses were performed to further characterize the assays’ overall performance and determine optimal assay cutoffs for sensitivity and specificity. VOCs carrying up to four amino acid mutations in nucleocapsid were detected by all five assays with characteristics comparable to non-VOCs. In summary, automated, quantitative SARS-CoV-2 Ag tests show variable performance and are not necessarily superior to a standard POCT. The efficacy of any alternative testing strategies to complement nucleic acid-based assays must be carefully evaluated by independent laboratories prior to widespread implementation.
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spelling pubmed-83777072021-08-20 Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern Osterman, Andreas Iglhaut, Maximilian Lehner, Andreas Späth, Patricia Stern, Marcel Autenrieth, Hanna Muenchhoff, Maximilian Graf, Alexander Krebs, Stefan Blum, Helmut Baiker, Armin Grzimek-Koschewa, Natascha Protzer, Ulrike Kaderali, Lars Baldauf, Hanna-Mari Keppler, Oliver T. Med Microbiol Immunol Original Investigation A versatile portfolio of diagnostic tests is essential for the containment of the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Besides nucleic acid-based test systems and point-of-care (POCT) antigen (Ag) tests, quantitative, laboratory-based nucleocapsid Ag tests for SARS-CoV-2 have recently been launched. Here, we evaluated four commercial Ag tests on automated platforms and one POCT to detect SARS-CoV-2. We evaluated PCR-positive (n = 107) and PCR-negative (n = 303) respiratory swabs from asymptomatic and symptomatic patients at the end of the second pandemic wave in Germany (February–March 2021) as well as clinical isolates EU1 (B.1.117), variant of concern (VOC) Alpha (B.1.1.7) or Beta (B.1.351), which had been expanded in a biosafety level 3 laboratory. The specificities of automated SARS-CoV-2 Ag tests ranged between 97.0 and 99.7% (Lumipulse G SARS-CoV-2 Ag (Fujirebio): 97.03%, Elecsys SARS-CoV-2 Ag (Roche Diagnostics): 97.69%; LIAISON(®) SARS-CoV-2 Ag (Diasorin) and SARS-CoV-2 Ag ELISA (Euroimmun): 99.67%). In this study cohort of hospitalized patients, the clinical sensitivities of tests were low, ranging from 17.76 to 52.34%, and analytical sensitivities ranged from 420,000 to 25,000,000 Geq/ml. In comparison, the detection limit of the Roche Rapid Ag Test (RAT) was 9,300,000 Geq/ml, detecting 23.58% of respiratory samples. Receiver-operating-characteristics (ROCs) and Youden’s index analyses were performed to further characterize the assays’ overall performance and determine optimal assay cutoffs for sensitivity and specificity. VOCs carrying up to four amino acid mutations in nucleocapsid were detected by all five assays with characteristics comparable to non-VOCs. In summary, automated, quantitative SARS-CoV-2 Ag tests show variable performance and are not necessarily superior to a standard POCT. The efficacy of any alternative testing strategies to complement nucleic acid-based assays must be carefully evaluated by independent laboratories prior to widespread implementation. Springer Berlin Heidelberg 2021-08-20 2021 /pmc/articles/PMC8377707/ /pubmed/34415422 http://dx.doi.org/10.1007/s00430-021-00719-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
Osterman, Andreas
Iglhaut, Maximilian
Lehner, Andreas
Späth, Patricia
Stern, Marcel
Autenrieth, Hanna
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Baiker, Armin
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title_full Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title_fullStr Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title_full_unstemmed Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title_short Comparison of four commercial, automated antigen tests to detect SARS-CoV-2 variants of concern
title_sort comparison of four commercial, automated antigen tests to detect sars-cov-2 variants of concern
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8377707/
https://www.ncbi.nlm.nih.gov/pubmed/34415422
http://dx.doi.org/10.1007/s00430-021-00719-0
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