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Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge
BACKGROUND: Little is known about the characteristics of lymphocyte subsets and the association with patient outcomes in COVID-19 with and without impaired kidney function. METHODS: Lymphocyte subsets were compared in COVID-19 patients with or without kidney dysfunction. The primary outcome was a co...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938757/ https://www.ncbi.nlm.nih.gov/pubmed/36806705 http://dx.doi.org/10.1016/j.clim.2023.109271 |
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author | Yan, Jiayi Wang, Jieying Ding, Li Liu, Shang Zhan, Yaping Lu, Jiayue Li, Zhenyuan Gu, Leyi Li, Ping Zhu, Mingli Gao, Yuan Gong, XingRong Ban, Haiqun Cai, Hong Mou, Shan |
author_facet | Yan, Jiayi Wang, Jieying Ding, Li Liu, Shang Zhan, Yaping Lu, Jiayue Li, Zhenyuan Gu, Leyi Li, Ping Zhu, Mingli Gao, Yuan Gong, XingRong Ban, Haiqun Cai, Hong Mou, Shan |
author_sort | Yan, Jiayi |
collection | PubMed |
description | BACKGROUND: Little is known about the characteristics of lymphocyte subsets and the association with patient outcomes in COVID-19 with and without impaired kidney function. METHODS: Lymphocyte subsets were compared in COVID-19 patients with or without kidney dysfunction. The primary outcome was a composite of all-cause mortality or intensive care unit admission. Secondary outcomes included duration of viral shedding, length of hospital stay, and acute kidney injury. RESULTS: Lymphocyte subset cell counts demonstrated the lowest in patients with severe/critical COVID-19 and kidney dysfunction. Among all lymphocyte subset parameters, Th cell count was the most significant indicator for outcomes. ROC of the combined model of Th cell count and eGFR presented better predictive value than that of the other parameters. Th cell count <394.5 cells/μl and eGFR <87.5 ml/min/1·73m(2) were independently associated with poor outcomes. The propensity score matching analysis revealed consistent results. CONCLUSIONS: Reduced Th cell count and eGFR may be applied as promising predictive indicators for identifying COVID-19 patients with high risk and poor outcomes. |
format | Online Article Text |
id | pubmed-9938757 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99387572023-02-21 Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge Yan, Jiayi Wang, Jieying Ding, Li Liu, Shang Zhan, Yaping Lu, Jiayue Li, Zhenyuan Gu, Leyi Li, Ping Zhu, Mingli Gao, Yuan Gong, XingRong Ban, Haiqun Cai, Hong Mou, Shan Clin Immunol Article BACKGROUND: Little is known about the characteristics of lymphocyte subsets and the association with patient outcomes in COVID-19 with and without impaired kidney function. METHODS: Lymphocyte subsets were compared in COVID-19 patients with or without kidney dysfunction. The primary outcome was a composite of all-cause mortality or intensive care unit admission. Secondary outcomes included duration of viral shedding, length of hospital stay, and acute kidney injury. RESULTS: Lymphocyte subset cell counts demonstrated the lowest in patients with severe/critical COVID-19 and kidney dysfunction. Among all lymphocyte subset parameters, Th cell count was the most significant indicator for outcomes. ROC of the combined model of Th cell count and eGFR presented better predictive value than that of the other parameters. Th cell count <394.5 cells/μl and eGFR <87.5 ml/min/1·73m(2) were independently associated with poor outcomes. The propensity score matching analysis revealed consistent results. CONCLUSIONS: Reduced Th cell count and eGFR may be applied as promising predictive indicators for identifying COVID-19 patients with high risk and poor outcomes. Elsevier Inc. 2023-03 2023-02-18 /pmc/articles/PMC9938757/ /pubmed/36806705 http://dx.doi.org/10.1016/j.clim.2023.109271 Text en © 2023 Elsevier Inc. 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 | Article Yan, Jiayi Wang, Jieying Ding, Li Liu, Shang Zhan, Yaping Lu, Jiayue Li, Zhenyuan Gu, Leyi Li, Ping Zhu, Mingli Gao, Yuan Gong, XingRong Ban, Haiqun Cai, Hong Mou, Shan Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title | Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title_full | Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title_fullStr | Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title_full_unstemmed | Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title_short | Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge |
title_sort | adaptive immune dysfunction in patients with covid-19 and impaired kidney function during the omicron surge |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9938757/ https://www.ncbi.nlm.nih.gov/pubmed/36806705 http://dx.doi.org/10.1016/j.clim.2023.109271 |
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