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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7522270 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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