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Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019
OBJECTIVE: To explore the clinical value of immune-inflammatory markers to assess the severity of coronavirus disease 2019 (COVID-19). METHODS: 127 consecutive hospitalized patients with confirmed COVID-19 were enrolled in this study, and classified into non-severe and severe groups. Demographics, s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195003/ https://www.ncbi.nlm.nih.gov/pubmed/32334118 http://dx.doi.org/10.1016/j.ijid.2020.04.041 |
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author | Zhu, Zhe Cai, Ting Fan, Lingyan Lou, Kehong Hua, Xin Huang, Zuoan Gao, Guosheng |
author_facet | Zhu, Zhe Cai, Ting Fan, Lingyan Lou, Kehong Hua, Xin Huang, Zuoan Gao, Guosheng |
author_sort | Zhu, Zhe |
collection | PubMed |
description | OBJECTIVE: To explore the clinical value of immune-inflammatory markers to assess the severity of coronavirus disease 2019 (COVID-19). METHODS: 127 consecutive hospitalized patients with confirmed COVID-19 were enrolled in this study, and classified into non-severe and severe groups. Demographics, symptoms, underlying diseases and laboratory data were collected and assessed for predictive value. RESULTS: Of 127 COVID-19 patients, 16 cases (12.60%) were classified into the severe group. High level of interleukin-6 (IL-6), C-reaction protein (CRP) and hypertension were independent risk factors for the severity of COVID-19. The risk model based on IL-6, CRP and hypertension had the highest area under the receiver operator characteristic curve (AUROC). Additionally, the baseline IL-6 was positively correlated with other immune-inflammatory parameters and the dynamic change of IL-6 in the severe cases were parallel to the amelioration of the disease. CONCLUSION: Our study showed that high level of IL-6, CRP and hypertension were independent risk factors for assessing the severity of COVID-19. The risk model established upon IL-6, CRP and hypertension had the highest predictability in this study. Besides, IL-6 played a pivotal role in the severity of COVID-19 and had a potential value for monitoring the process of severe cases. |
format | Online Article Text |
id | pubmed-7195003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. |
record_format | MEDLINE/PubMed |
spelling | pubmed-71950032020-05-02 Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 Zhu, Zhe Cai, Ting Fan, Lingyan Lou, Kehong Hua, Xin Huang, Zuoan Gao, Guosheng Int J Infect Dis Article OBJECTIVE: To explore the clinical value of immune-inflammatory markers to assess the severity of coronavirus disease 2019 (COVID-19). METHODS: 127 consecutive hospitalized patients with confirmed COVID-19 were enrolled in this study, and classified into non-severe and severe groups. Demographics, symptoms, underlying diseases and laboratory data were collected and assessed for predictive value. RESULTS: Of 127 COVID-19 patients, 16 cases (12.60%) were classified into the severe group. High level of interleukin-6 (IL-6), C-reaction protein (CRP) and hypertension were independent risk factors for the severity of COVID-19. The risk model based on IL-6, CRP and hypertension had the highest area under the receiver operator characteristic curve (AUROC). Additionally, the baseline IL-6 was positively correlated with other immune-inflammatory parameters and the dynamic change of IL-6 in the severe cases were parallel to the amelioration of the disease. CONCLUSION: Our study showed that high level of IL-6, CRP and hypertension were independent risk factors for assessing the severity of COVID-19. The risk model established upon IL-6, CRP and hypertension had the highest predictability in this study. Besides, IL-6 played a pivotal role in the severity of COVID-19 and had a potential value for monitoring the process of severe cases. The Author(s). Published by Elsevier Ltd on behalf of International Society for Infectious Diseases. 2020-06 2020-04-22 /pmc/articles/PMC7195003/ /pubmed/32334118 http://dx.doi.org/10.1016/j.ijid.2020.04.041 Text en © 2020 The Author(s) 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 Zhu, Zhe Cai, Ting Fan, Lingyan Lou, Kehong Hua, Xin Huang, Zuoan Gao, Guosheng Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title | Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title_full | Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title_fullStr | Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title_full_unstemmed | Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title_short | Clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
title_sort | clinical value of immune-inflammatory parameters to assess the severity of coronavirus disease 2019 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7195003/ https://www.ncbi.nlm.nih.gov/pubmed/32334118 http://dx.doi.org/10.1016/j.ijid.2020.04.041 |
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