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Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19
The purpose of this study was to analyse the clinical characteristics of patients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) PCR re-positivity after recovering from coronavirus disease 2019 (COVID-19). Patients (n = 1391) from Guangzhou, China, who had recovered from COVID-19...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019929/ https://www.ncbi.nlm.nih.gov/pubmed/36799012 http://dx.doi.org/10.1017/S0950268823000249 |
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author | Hu, Cheng-Yi Lei, Yi Tang, Yu-Wen Cui, Wen-Shuai Wu, Pei-Lian Li, Yan-Fang Zhou, Yan Li, Xin-Yan Cui, Hao Xiao, Lu-Shan Zhao, Zhu-Xiang |
author_facet | Hu, Cheng-Yi Lei, Yi Tang, Yu-Wen Cui, Wen-Shuai Wu, Pei-Lian Li, Yan-Fang Zhou, Yan Li, Xin-Yan Cui, Hao Xiao, Lu-Shan Zhao, Zhu-Xiang |
author_sort | Hu, Cheng-Yi |
collection | PubMed |
description | The purpose of this study was to analyse the clinical characteristics of patients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) PCR re-positivity after recovering from coronavirus disease 2019 (COVID-19). Patients (n = 1391) from Guangzhou, China, who had recovered from COVID-19 were recruited between 7 September 2021 and 11 March 2022. Data on epidemiology, symptoms, laboratory test results and treatment were analysed. In this study, 42.7% of recovered patients had re-positive result. Most re-positive patients were asymptomatic, did not have severe comorbidities, and were not contagious. The re-positivity rate was 39%, 46%, 11% and 25% in patients who had received inactivated, mRNA, adenovirus vector and recombinant subunit vaccines, respectively. Seven independent risk factors for testing re-positive were identified, and a predictive model was constructed using these variables. The predictors of re-positivity were COVID-19 vaccination status, previous SARs-CoV-12 infection prior to the most recent episode, renal function, SARS-CoV-2 IgG and IgM antibody levels and white blood cell count. The predictive model could benefit the control of the spread of COVID-19. |
format | Online Article Text |
id | pubmed-10019929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-100199292023-03-17 Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 Hu, Cheng-Yi Lei, Yi Tang, Yu-Wen Cui, Wen-Shuai Wu, Pei-Lian Li, Yan-Fang Zhou, Yan Li, Xin-Yan Cui, Hao Xiao, Lu-Shan Zhao, Zhu-Xiang Epidemiol Infect Original Paper The purpose of this study was to analyse the clinical characteristics of patients with severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) PCR re-positivity after recovering from coronavirus disease 2019 (COVID-19). Patients (n = 1391) from Guangzhou, China, who had recovered from COVID-19 were recruited between 7 September 2021 and 11 March 2022. Data on epidemiology, symptoms, laboratory test results and treatment were analysed. In this study, 42.7% of recovered patients had re-positive result. Most re-positive patients were asymptomatic, did not have severe comorbidities, and were not contagious. The re-positivity rate was 39%, 46%, 11% and 25% in patients who had received inactivated, mRNA, adenovirus vector and recombinant subunit vaccines, respectively. Seven independent risk factors for testing re-positive were identified, and a predictive model was constructed using these variables. The predictors of re-positivity were COVID-19 vaccination status, previous SARs-CoV-12 infection prior to the most recent episode, renal function, SARS-CoV-2 IgG and IgM antibody levels and white blood cell count. The predictive model could benefit the control of the spread of COVID-19. Cambridge University Press 2023-02-17 /pmc/articles/PMC10019929/ /pubmed/36799012 http://dx.doi.org/10.1017/S0950268823000249 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. |
spellingShingle | Original Paper Hu, Cheng-Yi Lei, Yi Tang, Yu-Wen Cui, Wen-Shuai Wu, Pei-Lian Li, Yan-Fang Zhou, Yan Li, Xin-Yan Cui, Hao Xiao, Lu-Shan Zhao, Zhu-Xiang Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title | Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title_full | Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title_fullStr | Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title_full_unstemmed | Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title_short | Characteristics of patients with SARS-COV-2 PCR re-positivity after recovering from COVID-19 |
title_sort | characteristics of patients with sars-cov-2 pcr re-positivity after recovering from covid-19 |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10019929/ https://www.ncbi.nlm.nih.gov/pubmed/36799012 http://dx.doi.org/10.1017/S0950268823000249 |
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