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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-8871059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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