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Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The British Infection Association. Published by Elsevier Ltd.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151318/ https://www.ncbi.nlm.nih.gov/pubmed/32283159 http://dx.doi.org/10.1016/j.jinf.2020.03.054 |
| _version_ | 1783521222997311488 |
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| author | Liu, Zeming Long, Wei Tu, Mengqi Chen, Sichao Huang, Yihui Wang, Shipei Zhou, Wei Chen, Danyang Zhou, Ling Wang, Min Wu, Meng Huang, Qi Xu, Haibo Zeng, Wen Guo, Liang |
| author_facet | Liu, Zeming Long, Wei Tu, Mengqi Chen, Sichao Huang, Yihui Wang, Shipei Zhou, Wei Chen, Danyang Zhou, Ling Wang, Min Wu, Meng Huang, Qi Xu, Haibo Zeng, Wen Guo, Liang |
| author_sort | Liu, Zeming |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-7151318 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2020 |
| publisher | The British Infection Association. Published by Elsevier Ltd. |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-71513182020-04-13 Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 Liu, Zeming Long, Wei Tu, Mengqi Chen, Sichao Huang, Yihui Wang, Shipei Zhou, Wei Chen, Danyang Zhou, Ling Wang, Min Wu, Meng Huang, Qi Xu, Haibo Zeng, Wen Guo, Liang J Infect Letter to the Editor The British Infection Association. Published by Elsevier Ltd. 2020-08 2020-04-11 /pmc/articles/PMC7151318/ /pubmed/32283159 http://dx.doi.org/10.1016/j.jinf.2020.03.054 Text en © 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
| spellingShingle | Letter to the Editor Liu, Zeming Long, Wei Tu, Mengqi Chen, Sichao Huang, Yihui Wang, Shipei Zhou, Wei Chen, Danyang Zhou, Ling Wang, Min Wu, Meng Huang, Qi Xu, Haibo Zeng, Wen Guo, Liang Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title | Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title_full | Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title_fullStr | Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title_full_unstemmed | Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title_short | Lymphocyte subset (CD4+, CD8+) counts reflect the severity of infection and predict the clinical outcomes in patients with COVID-19 |
| title_sort | lymphocyte subset (cd4+, cd8+) counts reflect the severity of infection and predict the clinical outcomes in patients with covid-19 |
| topic | Letter to the Editor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7151318/ https://www.ncbi.nlm.nih.gov/pubmed/32283159 http://dx.doi.org/10.1016/j.jinf.2020.03.054 |
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