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Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends

The Lumipulse(®) G SARS-CoV-2 Ag assay performance was evaluated on prospectively collected saliva and nasopharyngeal swabs (NPS) of recently ill in- and outpatients and according to the estimated viral load. Performances were calculated using RT-PCR positive NPS from patients with symptoms ≤ 7 days...

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Autores principales: Yin, Nicolas, Debuysschere, Cyril, Daubie, Valery, Hildebrand, Marc, Martin, Charlotte, Curac, Sonja, Ponthieux, Fanny, Payen, Marie-Christine, Vandenberg, Olivier, Hallin, Marie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871059/
https://www.ncbi.nlm.nih.gov/pubmed/35204538
http://dx.doi.org/10.3390/diagnostics12020447
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author Yin, Nicolas
Debuysschere, Cyril
Daubie, Valery
Hildebrand, Marc
Martin, Charlotte
Curac, Sonja
Ponthieux, Fanny
Payen, Marie-Christine
Vandenberg, Olivier
Hallin, Marie
author_facet Yin, Nicolas
Debuysschere, Cyril
Daubie, Valery
Hildebrand, Marc
Martin, Charlotte
Curac, Sonja
Ponthieux, Fanny
Payen, Marie-Christine
Vandenberg, Olivier
Hallin, Marie
author_sort Yin, Nicolas
collection PubMed
description The Lumipulse(®) G SARS-CoV-2 Ag assay performance was evaluated on prospectively collected saliva and nasopharyngeal swabs (NPS) of recently ill in- and outpatients and according to the estimated viral load. Performances were calculated using RT-PCR positive NPS from patients with symptoms ≤ 7 days and RT-PCR negative NPS as gold standard. In addition, non-selected positive NPS were analyzed to assess the performances on various viral loads. This assay yielded a sensitivity of 93.1% on NPS and 71.4% on saliva for recently ill patients. For NPS with a viral load > 10(3) RNA copies/mL, sensitivity was 96.4%. A model established on our daily routine showed fluctuations of the performances depending on the epidemic trends but an overall good negative predictive value. Lumipulse(®) G SARS-CoV-2 assay yielded good performance for an automated antigen detection assay on NPS. Using it for the detection of recently ill patients or to screen high-risk patients could be an interesting alternative to the more expensive RT-PCR.
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spelling pubmed-88710592022-02-25 Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends Yin, Nicolas Debuysschere, Cyril Daubie, Valery Hildebrand, Marc Martin, Charlotte Curac, Sonja Ponthieux, Fanny Payen, Marie-Christine Vandenberg, Olivier Hallin, Marie Diagnostics (Basel) Article The Lumipulse(®) G SARS-CoV-2 Ag assay performance was evaluated on prospectively collected saliva and nasopharyngeal swabs (NPS) of recently ill in- and outpatients and according to the estimated viral load. Performances were calculated using RT-PCR positive NPS from patients with symptoms ≤ 7 days and RT-PCR negative NPS as gold standard. In addition, non-selected positive NPS were analyzed to assess the performances on various viral loads. This assay yielded a sensitivity of 93.1% on NPS and 71.4% on saliva for recently ill patients. For NPS with a viral load > 10(3) RNA copies/mL, sensitivity was 96.4%. A model established on our daily routine showed fluctuations of the performances depending on the epidemic trends but an overall good negative predictive value. Lumipulse(®) G SARS-CoV-2 assay yielded good performance for an automated antigen detection assay on NPS. Using it for the detection of recently ill patients or to screen high-risk patients could be an interesting alternative to the more expensive RT-PCR. MDPI 2022-02-09 /pmc/articles/PMC8871059/ /pubmed/35204538 http://dx.doi.org/10.3390/diagnostics12020447 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yin, Nicolas
Debuysschere, Cyril
Daubie, Valery
Hildebrand, Marc
Martin, Charlotte
Curac, Sonja
Ponthieux, Fanny
Payen, Marie-Christine
Vandenberg, Olivier
Hallin, Marie
Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title_full Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title_fullStr Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title_full_unstemmed Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title_short Evaluation and Modelling of the Performance of an Automated SARS-CoV-2 Antigen Assay According to Sample Type, Target Population and Epidemic Trends
title_sort evaluation and modelling of the performance of an automated sars-cov-2 antigen assay according to sample type, target population and epidemic trends
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8871059/
https://www.ncbi.nlm.nih.gov/pubmed/35204538
http://dx.doi.org/10.3390/diagnostics12020447
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