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Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis

Abnormal immunological indicators associated with disease severity and mortality in patients with COVID-19 have been reported in several observational studies. However, there are marked heterogeneities in patient characteristics and research methodologies in these studies. We aimed to provide an upd...

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Autores principales: Qin, Rundong, He, Li, Yang, Zhaowei, Jia, Nan, Chen, Ruchong, Xie, Jiaxing, Fu, Wanyi, Chen, Hao, Lin, Xinliu, Huang, Renbin, Luo, Tian, Liu, Yukai, Yao, Siyang, Jiang, Mei, Li, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763427/
https://www.ncbi.nlm.nih.gov/pubmed/35040086
http://dx.doi.org/10.1007/s12016-021-08908-8
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author Qin, Rundong
He, Li
Yang, Zhaowei
Jia, Nan
Chen, Ruchong
Xie, Jiaxing
Fu, Wanyi
Chen, Hao
Lin, Xinliu
Huang, Renbin
Luo, Tian
Liu, Yukai
Yao, Siyang
Jiang, Mei
Li, Jing
author_facet Qin, Rundong
He, Li
Yang, Zhaowei
Jia, Nan
Chen, Ruchong
Xie, Jiaxing
Fu, Wanyi
Chen, Hao
Lin, Xinliu
Huang, Renbin
Luo, Tian
Liu, Yukai
Yao, Siyang
Jiang, Mei
Li, Jing
author_sort Qin, Rundong
collection PubMed
description Abnormal immunological indicators associated with disease severity and mortality in patients with COVID-19 have been reported in several observational studies. However, there are marked heterogeneities in patient characteristics and research methodologies in these studies. We aimed to provide an updated synthesis of the association between immune-related indicators and COVID-19 prognosis. We conducted an electronic search of PubMed, Scopus, Ovid, Willey, Web of Science, Cochrane library, and CNKI for studies reporting immunological and/or immune-related parameters, including hematological, inflammatory, coagulation, and biochemical variables, tested on hospital admission of COVID-19 patients with different severities and outcomes. A total of 145 studies were included in the current meta-analysis, with 26 immunological, 11 hematological, 5 inflammatory, 4 coagulation, and 10 biochemical variables reported. Of them, levels of cytokines, including IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, IFN-γ, IgA, IgG, and CD4(+) T/CD8(+) T cell ratio, WBC, neutrophil, platelet, ESR, CRP, ferritin, SAA, D-dimer, FIB, and LDH were significantly increased in severely ill patients or non-survivors. Moreover, non-severely ill patients or survivors presented significantly higher counts of lymphocytes, monocytes, lymphocyte/monocyte ratio, eosinophils, CD3(+) T,CD4(+)T and CD8(+)T cells, B cells, and NK cells. The currently updated meta-analysis primarily identified a hypercytokinemia profile with the severity and mortality of COVID-19 containing IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, and IFN-γ. Impaired innate and adaptive immune responses, reflected by decreased eosinophils, lymphocytes, monocytes, B cells, NK cells, T cells, and their subtype CD4(+) and CD8(+) T cells, and augmented inflammation, coagulation dysfunction, and nonpulmonary organ injury, were marked features of patients with poor prognosis. Therefore, parameters of immune response dysfunction combined with inflammatory, coagulated, or nonpulmonary organ injury indicators may be more sensitive to predict severe patients and those non-survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12016-021-08908-8.
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spelling pubmed-87634272022-01-18 Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis Qin, Rundong He, Li Yang, Zhaowei Jia, Nan Chen, Ruchong Xie, Jiaxing Fu, Wanyi Chen, Hao Lin, Xinliu Huang, Renbin Luo, Tian Liu, Yukai Yao, Siyang Jiang, Mei Li, Jing Clin Rev Allergy Immunol Article Abnormal immunological indicators associated with disease severity and mortality in patients with COVID-19 have been reported in several observational studies. However, there are marked heterogeneities in patient characteristics and research methodologies in these studies. We aimed to provide an updated synthesis of the association between immune-related indicators and COVID-19 prognosis. We conducted an electronic search of PubMed, Scopus, Ovid, Willey, Web of Science, Cochrane library, and CNKI for studies reporting immunological and/or immune-related parameters, including hematological, inflammatory, coagulation, and biochemical variables, tested on hospital admission of COVID-19 patients with different severities and outcomes. A total of 145 studies were included in the current meta-analysis, with 26 immunological, 11 hematological, 5 inflammatory, 4 coagulation, and 10 biochemical variables reported. Of them, levels of cytokines, including IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, IFN-γ, IgA, IgG, and CD4(+) T/CD8(+) T cell ratio, WBC, neutrophil, platelet, ESR, CRP, ferritin, SAA, D-dimer, FIB, and LDH were significantly increased in severely ill patients or non-survivors. Moreover, non-severely ill patients or survivors presented significantly higher counts of lymphocytes, monocytes, lymphocyte/monocyte ratio, eosinophils, CD3(+) T,CD4(+)T and CD8(+)T cells, B cells, and NK cells. The currently updated meta-analysis primarily identified a hypercytokinemia profile with the severity and mortality of COVID-19 containing IL-1β, IL-1Ra, IL-2R, IL-4, IL-6, IL-8, IL-10, IL-18, TNF-α, and IFN-γ. Impaired innate and adaptive immune responses, reflected by decreased eosinophils, lymphocytes, monocytes, B cells, NK cells, T cells, and their subtype CD4(+) and CD8(+) T cells, and augmented inflammation, coagulation dysfunction, and nonpulmonary organ injury, were marked features of patients with poor prognosis. Therefore, parameters of immune response dysfunction combined with inflammatory, coagulated, or nonpulmonary organ injury indicators may be more sensitive to predict severe patients and those non-survivors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12016-021-08908-8. Springer US 2022-01-18 2023 /pmc/articles/PMC8763427/ /pubmed/35040086 http://dx.doi.org/10.1007/s12016-021-08908-8 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Qin, Rundong
He, Li
Yang, Zhaowei
Jia, Nan
Chen, Ruchong
Xie, Jiaxing
Fu, Wanyi
Chen, Hao
Lin, Xinliu
Huang, Renbin
Luo, Tian
Liu, Yukai
Yao, Siyang
Jiang, Mei
Li, Jing
Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title_full Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title_fullStr Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title_full_unstemmed Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title_short Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis
title_sort identification of parameters representative of immune dysfunction in patients with severe and fatal covid-19 infection: a systematic review and meta-analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763427/
https://www.ncbi.nlm.nih.gov/pubmed/35040086
http://dx.doi.org/10.1007/s12016-021-08908-8
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