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Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples

The QIAstat-Dx SARS-CoV-2 panel is a multiplex cartridge based assay based on real time PCR which can detect 17 respiratory viruses, including the novel coronavirus SARS-CoV-2. A syndromic approach is the need of the hour for COVID-19 diagnostics among patients presenting with respiratory symptoms....

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Autores principales: Gupta, Akshita, Soni, Anushika, Rooge, Sheetalnath, Paul, Diptanu, Agarwal, Reshu, Tarai, Bansidhar, Gupta, Ekta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457645/
https://www.ncbi.nlm.nih.gov/pubmed/34562514
http://dx.doi.org/10.1016/j.jviromet.2021.114300
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author Gupta, Akshita
Soni, Anushika
Rooge, Sheetalnath
Paul, Diptanu
Agarwal, Reshu
Tarai, Bansidhar
Gupta, Ekta
author_facet Gupta, Akshita
Soni, Anushika
Rooge, Sheetalnath
Paul, Diptanu
Agarwal, Reshu
Tarai, Bansidhar
Gupta, Ekta
author_sort Gupta, Akshita
collection PubMed
description The QIAstat-Dx SARS-CoV-2 panel is a multiplex cartridge based assay based on real time PCR which can detect 17 respiratory viruses, including the novel coronavirus SARS-CoV-2. A syndromic approach is the need of the hour for COVID-19 diagnostics among patients presenting with respiratory symptoms. The present study was done to evaluate 120 archived respiratory clinical specimens for SARS-CoV-2 on the SARS-CoV-2 panel. Further, 27 specimens were tested for other respiratory viruses, in comparison with the BioFire RP1.7 platform. The sensitivity and specificity for SARS-CoV-2 on SARS panel was found to be 90.00 % and 100 % respectively, indicating good diagnostic accuracy. The positive predictive value was found to be 100 %, negative predictive value was found to be 99.93 % and accuracy was 99.93 %. Detection of other respiratory viruses observed a concordance of 77.7 %. Despite advantages of speed, minimal expertise and accurate results; significant costs and discrepancies at Ct >35 remain important limitations of the SARS panel.
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spelling pubmed-84576452021-09-23 Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples Gupta, Akshita Soni, Anushika Rooge, Sheetalnath Paul, Diptanu Agarwal, Reshu Tarai, Bansidhar Gupta, Ekta J Virol Methods Short Communication The QIAstat-Dx SARS-CoV-2 panel is a multiplex cartridge based assay based on real time PCR which can detect 17 respiratory viruses, including the novel coronavirus SARS-CoV-2. A syndromic approach is the need of the hour for COVID-19 diagnostics among patients presenting with respiratory symptoms. The present study was done to evaluate 120 archived respiratory clinical specimens for SARS-CoV-2 on the SARS-CoV-2 panel. Further, 27 specimens were tested for other respiratory viruses, in comparison with the BioFire RP1.7 platform. The sensitivity and specificity for SARS-CoV-2 on SARS panel was found to be 90.00 % and 100 % respectively, indicating good diagnostic accuracy. The positive predictive value was found to be 100 %, negative predictive value was found to be 99.93 % and accuracy was 99.93 %. Detection of other respiratory viruses observed a concordance of 77.7 %. Despite advantages of speed, minimal expertise and accurate results; significant costs and discrepancies at Ct >35 remain important limitations of the SARS panel. Elsevier B.V. 2021-12 2021-09-22 /pmc/articles/PMC8457645/ /pubmed/34562514 http://dx.doi.org/10.1016/j.jviromet.2021.114300 Text en © 2021 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Short Communication
Gupta, Akshita
Soni, Anushika
Rooge, Sheetalnath
Paul, Diptanu
Agarwal, Reshu
Tarai, Bansidhar
Gupta, Ekta
Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title_full Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title_fullStr Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title_full_unstemmed Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title_short Syndromic approach to SARS-CoV-2 detection using QIAstat-Dx SARS-CoV-2 panel from clinical samples
title_sort syndromic approach to sars-cov-2 detection using qiastat-dx sars-cov-2 panel from clinical samples
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457645/
https://www.ncbi.nlm.nih.gov/pubmed/34562514
http://dx.doi.org/10.1016/j.jviromet.2021.114300
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