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Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection

Real-time reverse transcription- polymerase chain reaction (RT-PCR) has been the most reliable armoury for the diagnosis of COVID-19, considered to be the reference standard but fails to reproduce the correct predictability about the infectivity of the disease every time. Antigen detection however p...

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Autores principales: Paul, Diptanu, Gupta, Akshita, Rooge, Sheetalnath, 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/PMC8457631/
https://www.ncbi.nlm.nih.gov/pubmed/34562516
http://dx.doi.org/10.1016/j.jviromet.2021.114299
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author Paul, Diptanu
Gupta, Akshita
Rooge, Sheetalnath
Gupta, Ekta
author_facet Paul, Diptanu
Gupta, Akshita
Rooge, Sheetalnath
Gupta, Ekta
author_sort Paul, Diptanu
collection PubMed
description Real-time reverse transcription- polymerase chain reaction (RT-PCR) has been the most reliable armoury for the diagnosis of COVID-19, considered to be the reference standard but fails to reproduce the correct predictability about the infectivity of the disease every time. Antigen detection however puts foothold in this aspect even though lacks in sensitivity, especially conventional Rapid Antigen Tests (RATs). Recently developed Chemiluminescence Immunoassay (CLIA) based antigen detection tests are promising and displayed better sensitivity. In the current study we have evaluated VITROS® SARS-CoV-2 Ag Test CLIA Kit, which was tested on 148 patient’s samples attended to a tertiary care centre for testing of SARS-CoV-2. The performance of the kit was evaluated in comparison to RT-PCR and RAT and found to be a good test for antigen detection, best within the first few days of infection. The test has shown sensitivity of 94.3 % and specificity of 100 % in samples with corresponding Ct values of ≤25 by RT-PCR, which corresponds to high viral load and can predict ability of spreading the disease by the patients. With the results being semiquantitative along with improved sensitivity it can replace RATs for antigen detection for screening, provided good laboratory set up is included under consideration.
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spelling pubmed-84576312021-09-23 Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection Paul, Diptanu Gupta, Akshita Rooge, Sheetalnath Gupta, Ekta J Virol Methods Article Real-time reverse transcription- polymerase chain reaction (RT-PCR) has been the most reliable armoury for the diagnosis of COVID-19, considered to be the reference standard but fails to reproduce the correct predictability about the infectivity of the disease every time. Antigen detection however puts foothold in this aspect even though lacks in sensitivity, especially conventional Rapid Antigen Tests (RATs). Recently developed Chemiluminescence Immunoassay (CLIA) based antigen detection tests are promising and displayed better sensitivity. In the current study we have evaluated VITROS® SARS-CoV-2 Ag Test CLIA Kit, which was tested on 148 patient’s samples attended to a tertiary care centre for testing of SARS-CoV-2. The performance of the kit was evaluated in comparison to RT-PCR and RAT and found to be a good test for antigen detection, best within the first few days of infection. The test has shown sensitivity of 94.3 % and specificity of 100 % in samples with corresponding Ct values of ≤25 by RT-PCR, which corresponds to high viral load and can predict ability of spreading the disease by the patients. With the results being semiquantitative along with improved sensitivity it can replace RATs for antigen detection for screening, provided good laboratory set up is included under consideration. Elsevier B.V. 2021-12 2021-09-22 /pmc/articles/PMC8457631/ /pubmed/34562516 http://dx.doi.org/10.1016/j.jviromet.2021.114299 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 Article
Paul, Diptanu
Gupta, Akshita
Rooge, Sheetalnath
Gupta, Ekta
Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title_full Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title_fullStr Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title_full_unstemmed Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title_short Performance evaluation of automated chemiluminescence immunoassay based antigen detection – Moving towards more reliable ways to predict SARS-CoV-2 infection
title_sort performance evaluation of automated chemiluminescence immunoassay based antigen detection – moving towards more reliable ways to predict sars-cov-2 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8457631/
https://www.ncbi.nlm.nih.gov/pubmed/34562516
http://dx.doi.org/10.1016/j.jviromet.2021.114299
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