Cargando…
The characteristics and predictive role of lymphocyte subsets in COVID-19 patients
OBJECTIVE: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. METHOD: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. RESULTS: 1. Lymphocyte subset counts in...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398035/ https://www.ncbi.nlm.nih.gov/pubmed/32758688 http://dx.doi.org/10.1016/j.ijid.2020.06.079 |
_version_ | 1783565884091006976 |
---|---|
author | Zhang, Wenjing Li, Lei Liu, Jihai Chen, Li Zhou, Fangfang Jin, Ting Jiang, Lin Li, Xiang Yang, Ming Wang, Hongxiang |
author_facet | Zhang, Wenjing Li, Lei Liu, Jihai Chen, Li Zhou, Fangfang Jin, Ting Jiang, Lin Li, Xiang Yang, Ming Wang, Hongxiang |
author_sort | Zhang, Wenjing |
collection | PubMed |
description | OBJECTIVE: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. METHOD: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. RESULTS: 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe disease, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8(+), and CD4(+) T cells at admission. CONCLUSION: Our study showed that total, CD8(+), and CD4(+) T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. Lower T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events. |
format | Online Article Text |
id | pubmed-7398035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73980352020-08-04 The characteristics and predictive role of lymphocyte subsets in COVID-19 patients Zhang, Wenjing Li, Lei Liu, Jihai Chen, Li Zhou, Fangfang Jin, Ting Jiang, Lin Li, Xiang Yang, Ming Wang, Hongxiang Int J Infect Dis Article OBJECTIVE: To investigate the characteristics and predictive roles of lymphocyte subsets in COVID-19 patients. METHOD: We evaluated lymphocyte subsets and other clinical features of COVID-19 patients, and analyzed their potential impacts on COVID-19 outcomes. RESULTS: 1. Lymphocyte subset counts in the peripheral blood of patients with COVID-19 were significantly reduced, especially in patients with severe disease. 2. In patients with non-severe disease, the time from symptom onset to hospital admission was positively correlated with total T cell counts. 3. Among COVID-19 patients who did not reach the composite endpoint, lymphocyte subset counts were higher than in patients who had reached the composite endpoint. 4. The Kaplan-Meier survival curves showed significant differences in COVID-19 patients, classified by the levels of total, CD8(+), and CD4(+) T cells at admission. CONCLUSION: Our study showed that total, CD8(+), and CD4(+) T cell counts in patients with COVID-19 were significantly reduced, especially in patients with severe disease. Lower T lymphocyte subsets were significantly associated with a higher occurrence of composite endpoint events. These subsets may help identify patients with a high risk of composite endpoint events. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-10 2020-08-03 /pmc/articles/PMC7398035/ /pubmed/32758688 http://dx.doi.org/10.1016/j.ijid.2020.06.079 Text en © 2020 Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 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 | Article Zhang, Wenjing Li, Lei Liu, Jihai Chen, Li Zhou, Fangfang Jin, Ting Jiang, Lin Li, Xiang Yang, Ming Wang, Hongxiang The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title | The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title_full | The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title_fullStr | The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title_full_unstemmed | The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title_short | The characteristics and predictive role of lymphocyte subsets in COVID-19 patients |
title_sort | characteristics and predictive role of lymphocyte subsets in covid-19 patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7398035/ https://www.ncbi.nlm.nih.gov/pubmed/32758688 http://dx.doi.org/10.1016/j.ijid.2020.06.079 |
work_keys_str_mv | AT zhangwenjing thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT lilei thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT liujihai thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT chenli thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT zhoufangfang thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT jinting thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT jianglin thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT lixiang thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT yangming thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT wanghongxiang thecharacteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT zhangwenjing characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT lilei characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT liujihai characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT chenli characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT zhoufangfang characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT jinting characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT jianglin characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT lixiang characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT yangming characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients AT wanghongxiang characteristicsandpredictiveroleoflymphocytesubsetsincovid19patients |