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Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022
The inability to predict the evolution of the COVID-19 epidemic hampered abilities to respond to the crisis effectively. The cycle threshold (Ct) from the standard SARS-CoV-2 quantitative reverse transcription-PCR (RT-qPCR) clinical assay is inversely proportional to the amount of SARS-CoV-2 RNA in...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105352/ https://www.ncbi.nlm.nih.gov/pubmed/37061534 http://dx.doi.org/10.1038/s41598-023-32953-2 |
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author | Musalkova, Dita Piherova, Lenka Kwasny, Ondrej Dindova, Zuzana Stancik, Lubor Hartmannova, Hana Slama, Otomar Peckova, Petra Pargac, Josef Minarik, Gabriel Zima, Tomas Bleyer, Anthony J. Radina, Martin Pohludka, Michal Kmoch, Stanislav |
author_facet | Musalkova, Dita Piherova, Lenka Kwasny, Ondrej Dindova, Zuzana Stancik, Lubor Hartmannova, Hana Slama, Otomar Peckova, Petra Pargac, Josef Minarik, Gabriel Zima, Tomas Bleyer, Anthony J. Radina, Martin Pohludka, Michal Kmoch, Stanislav |
author_sort | Musalkova, Dita |
collection | PubMed |
description | The inability to predict the evolution of the COVID-19 epidemic hampered abilities to respond to the crisis effectively. The cycle threshold (Ct) from the standard SARS-CoV-2 quantitative reverse transcription-PCR (RT-qPCR) clinical assay is inversely proportional to the amount of SARS-CoV-2 RNA in the sample. We were interested to see if population Ct values could predict future increases in COVID-19 cases as well as subgroups that would be more likely to be affected. This information would have been extremely helpful early in the COVID-19 epidemic. We therefore conducted a retrospective analysis of demographic data and Ct values from 2,076,887 nasopharyngeal swab RT-qPCR tests that were performed at a single diagnostic laboratory in the Czech Republic from April 2020 to April 2022 and from 221,671 tests that were performed as a part of a mandatory school surveillance testing program from March 2021 to March 2022. We found that Ct values could be helpful predictive tools in the real-time management of viral epidemics. First, early measurement of Ct values would have indicated the low viral load in children, equivalent viral load in males and females, and higher viral load in older individuals. Second, rising or falling median Ct values and differences in Ct distribution indicated changes in the transmission in the population. Third, monitoring Ct values and positivity rates would have provided early evidence as to whether prevention measures are effective. Health system authorities should thus consider collecting weekly median Ct values of positively tested samples from major diagnostic laboratories for regional epidemic surveillance. |
format | Online Article Text |
id | pubmed-10105352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-101053522023-04-17 Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 Musalkova, Dita Piherova, Lenka Kwasny, Ondrej Dindova, Zuzana Stancik, Lubor Hartmannova, Hana Slama, Otomar Peckova, Petra Pargac, Josef Minarik, Gabriel Zima, Tomas Bleyer, Anthony J. Radina, Martin Pohludka, Michal Kmoch, Stanislav Sci Rep Article The inability to predict the evolution of the COVID-19 epidemic hampered abilities to respond to the crisis effectively. The cycle threshold (Ct) from the standard SARS-CoV-2 quantitative reverse transcription-PCR (RT-qPCR) clinical assay is inversely proportional to the amount of SARS-CoV-2 RNA in the sample. We were interested to see if population Ct values could predict future increases in COVID-19 cases as well as subgroups that would be more likely to be affected. This information would have been extremely helpful early in the COVID-19 epidemic. We therefore conducted a retrospective analysis of demographic data and Ct values from 2,076,887 nasopharyngeal swab RT-qPCR tests that were performed at a single diagnostic laboratory in the Czech Republic from April 2020 to April 2022 and from 221,671 tests that were performed as a part of a mandatory school surveillance testing program from March 2021 to March 2022. We found that Ct values could be helpful predictive tools in the real-time management of viral epidemics. First, early measurement of Ct values would have indicated the low viral load in children, equivalent viral load in males and females, and higher viral load in older individuals. Second, rising or falling median Ct values and differences in Ct distribution indicated changes in the transmission in the population. Third, monitoring Ct values and positivity rates would have provided early evidence as to whether prevention measures are effective. Health system authorities should thus consider collecting weekly median Ct values of positively tested samples from major diagnostic laboratories for regional epidemic surveillance. Nature Publishing Group UK 2023-04-15 /pmc/articles/PMC10105352/ /pubmed/37061534 http://dx.doi.org/10.1038/s41598-023-32953-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 | Article Musalkova, Dita Piherova, Lenka Kwasny, Ondrej Dindova, Zuzana Stancik, Lubor Hartmannova, Hana Slama, Otomar Peckova, Petra Pargac, Josef Minarik, Gabriel Zima, Tomas Bleyer, Anthony J. Radina, Martin Pohludka, Michal Kmoch, Stanislav Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title | Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title_full | Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title_fullStr | Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title_full_unstemmed | Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title_short | Trends in SARS-CoV-2 cycle threshold values in the Czech Republic from April 2020 to April 2022 |
title_sort | trends in sars-cov-2 cycle threshold values in the czech republic from april 2020 to april 2022 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105352/ https://www.ncbi.nlm.nih.gov/pubmed/37061534 http://dx.doi.org/10.1038/s41598-023-32953-2 |
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