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Immune dysfunction following COVID-19, especially in severe patients

The coronavirus disease 2019 (COVID-19) has been spreading worldwide. Severe cases quickly progressed with unfavorable outcomes. We aim to investigate the clinical features of COVID-19 and identify the risk factors associated with its progression. Data of confirmed SARS-CoV-2-infected patients and h...

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Autores principales: Song, Cong-Ying, Xu, Jia, He, Jian-Qin, Lu, Yuan-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522270/
https://www.ncbi.nlm.nih.gov/pubmed/32985562
http://dx.doi.org/10.1038/s41598-020-72718-9
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author Song, Cong-Ying
Xu, Jia
He, Jian-Qin
Lu, Yuan-Qiang
author_facet Song, Cong-Ying
Xu, Jia
He, Jian-Qin
Lu, Yuan-Qiang
author_sort Song, Cong-Ying
collection PubMed
description The coronavirus disease 2019 (COVID-19) has been spreading worldwide. Severe cases quickly progressed with unfavorable outcomes. We aim to investigate the clinical features of COVID-19 and identify the risk factors associated with its progression. Data of confirmed SARS-CoV-2-infected patients and healthy participants were collected. Thirty-seven healthy people and 79 confirmed patients, which include 48 severe patients and 31 mild patients, were recruited. COVID-19 patients presented with dysregulated immune response (decreased T, B, and NK cells and increased inflammatory cytokines). Also, they were found to have increased levels of white blood cell, neutrophil count, and D-dimer in severe cases. Moreover, lymphocyte, CD4(+) T cell, CD8(+) T cell, NK cell, and B cell counts were lower in the severe group. Multivariate logistic regression analysis showed that CD4(+) cell count, neutrophil-to-lymphocyte ratio (NLR) and D-dimer were risk factors for severe cases. Both CT score and clinical pulmonary infection score (CPIS) were associated with disease severity. The receiver operating characteristic (ROC) curve analysis has shown that all these parameters and scores had quite a high predictive value. Immune dysfunction plays critical roles in disease progression. Early and constant surveillance of complete blood cell count, T lymphocyte subsets, coagulation function, CT scan and CPIS was recommended for early screening of severe cases.
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spelling pubmed-75222702020-09-29 Immune dysfunction following COVID-19, especially in severe patients Song, Cong-Ying Xu, Jia He, Jian-Qin Lu, Yuan-Qiang Sci Rep Article The coronavirus disease 2019 (COVID-19) has been spreading worldwide. Severe cases quickly progressed with unfavorable outcomes. We aim to investigate the clinical features of COVID-19 and identify the risk factors associated with its progression. Data of confirmed SARS-CoV-2-infected patients and healthy participants were collected. Thirty-seven healthy people and 79 confirmed patients, which include 48 severe patients and 31 mild patients, were recruited. COVID-19 patients presented with dysregulated immune response (decreased T, B, and NK cells and increased inflammatory cytokines). Also, they were found to have increased levels of white blood cell, neutrophil count, and D-dimer in severe cases. Moreover, lymphocyte, CD4(+) T cell, CD8(+) T cell, NK cell, and B cell counts were lower in the severe group. Multivariate logistic regression analysis showed that CD4(+) cell count, neutrophil-to-lymphocyte ratio (NLR) and D-dimer were risk factors for severe cases. Both CT score and clinical pulmonary infection score (CPIS) were associated with disease severity. The receiver operating characteristic (ROC) curve analysis has shown that all these parameters and scores had quite a high predictive value. Immune dysfunction plays critical roles in disease progression. Early and constant surveillance of complete blood cell count, T lymphocyte subsets, coagulation function, CT scan and CPIS was recommended for early screening of severe cases. Nature Publishing Group UK 2020-09-28 /pmc/articles/PMC7522270/ /pubmed/32985562 http://dx.doi.org/10.1038/s41598-020-72718-9 Text en © The Author(s) 2020 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/.
spellingShingle Article
Song, Cong-Ying
Xu, Jia
He, Jian-Qin
Lu, Yuan-Qiang
Immune dysfunction following COVID-19, especially in severe patients
title Immune dysfunction following COVID-19, especially in severe patients
title_full Immune dysfunction following COVID-19, especially in severe patients
title_fullStr Immune dysfunction following COVID-19, especially in severe patients
title_full_unstemmed Immune dysfunction following COVID-19, especially in severe patients
title_short Immune dysfunction following COVID-19, especially in severe patients
title_sort immune dysfunction following covid-19, especially in severe patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522270/
https://www.ncbi.nlm.nih.gov/pubmed/32985562
http://dx.doi.org/10.1038/s41598-020-72718-9
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