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Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients
The worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has led to the rapid spread of coronavirus disease (COVID-19). The quantitative real time PCR (qPCR) is widely used as the gold standard for clinical detection of SARS-CoV-2. However, more and more infected patients...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695381/ https://www.ncbi.nlm.nih.gov/pubmed/33136068 http://dx.doi.org/10.18632/aging.104020 |
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author | Liu, Chong Shi, Qingxin Peng, Mingfei Lu, Ruyue Li, Haohao Cai, Yingying Chen, Jiaxi Xu, Jiaqin Shen, Bo |
author_facet | Liu, Chong Shi, Qingxin Peng, Mingfei Lu, Ruyue Li, Haohao Cai, Yingying Chen, Jiaxi Xu, Jiaqin Shen, Bo |
author_sort | Liu, Chong |
collection | PubMed |
description | The worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has led to the rapid spread of coronavirus disease (COVID-19). The quantitative real time PCR (qPCR) is widely used as the gold standard for clinical detection of SARS-CoV-2. However, more and more infected patients are relapsing after discharge, which suggests qPCR may fail to detect the virus in some cases. In this study, we selected 74 clinical samples from 43 recovering inpatients for qPCR and Droplet Digital PCR (ddPCR) synchronous blind detection, and established a cutoff value for ddPCR diagnosis of COVID-19. The results showed that at a cutoff value of 0.04 copies/μL, the ddPCR sensitivity and specificity are 97.6% and 100%, respectively. In addition, we also analyzed 18 retained samples from 9 discharged patients who relapsed. Although qPCR showed all 18 samples to be negative, ddPCR showed 12 to be positive, and there was only one patient with two negative samples; the other eight patients had at least one positive sample. These results indicate that ddPCR could significantly improve the accuracy of COVID-19 diagnosis, especially for discharged patients with a low viral load, and help to reduce misdiagnosis during recovery. |
format | Online Article Text |
id | pubmed-7695381 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-76953812020-12-04 Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients Liu, Chong Shi, Qingxin Peng, Mingfei Lu, Ruyue Li, Haohao Cai, Yingying Chen, Jiaxi Xu, Jiaqin Shen, Bo Aging (Albany NY) Research Paper The worldwide severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak has led to the rapid spread of coronavirus disease (COVID-19). The quantitative real time PCR (qPCR) is widely used as the gold standard for clinical detection of SARS-CoV-2. However, more and more infected patients are relapsing after discharge, which suggests qPCR may fail to detect the virus in some cases. In this study, we selected 74 clinical samples from 43 recovering inpatients for qPCR and Droplet Digital PCR (ddPCR) synchronous blind detection, and established a cutoff value for ddPCR diagnosis of COVID-19. The results showed that at a cutoff value of 0.04 copies/μL, the ddPCR sensitivity and specificity are 97.6% and 100%, respectively. In addition, we also analyzed 18 retained samples from 9 discharged patients who relapsed. Although qPCR showed all 18 samples to be negative, ddPCR showed 12 to be positive, and there was only one patient with two negative samples; the other eight patients had at least one positive sample. These results indicate that ddPCR could significantly improve the accuracy of COVID-19 diagnosis, especially for discharged patients with a low viral load, and help to reduce misdiagnosis during recovery. Impact Journals 2020-11-01 /pmc/articles/PMC7695381/ /pubmed/33136068 http://dx.doi.org/10.18632/aging.104020 Text en Copyright: © 2020 Liu et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Liu, Chong Shi, Qingxin Peng, Mingfei Lu, Ruyue Li, Haohao Cai, Yingying Chen, Jiaxi Xu, Jiaqin Shen, Bo Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title | Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title_full | Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title_fullStr | Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title_full_unstemmed | Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title_short | Evaluation of droplet digital PCR for quantification of SARS-CoV-2 Virus in discharged COVID-19 patients |
title_sort | evaluation of droplet digital pcr for quantification of sars-cov-2 virus in discharged covid-19 patients |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7695381/ https://www.ncbi.nlm.nih.gov/pubmed/33136068 http://dx.doi.org/10.18632/aging.104020 |
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