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C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) first broke out in Wuhan, China, spread over 227 countries and caused approximately 0.3 million death worldwide. Several biomolecules have been explored for possible biomarkers for prognosis outcome. Although increased C reactive protein (CRP...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274122/ https://www.ncbi.nlm.nih.gov/pubmed/32511972 http://dx.doi.org/10.1016/j.cca.2020.06.013 |
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author | Sahu, Bikash R. Kampa, Raj Kishor Padhi, Archana Panda, Aditya K. |
author_facet | Sahu, Bikash R. Kampa, Raj Kishor Padhi, Archana Panda, Aditya K. |
author_sort | Sahu, Bikash R. |
collection | PubMed |
description | BACKGROUND: The novel coronavirus disease 2019 (COVID-19) first broke out in Wuhan, China, spread over 227 countries and caused approximately 0.3 million death worldwide. Several biomolecules have been explored for possible biomarkers for prognosis outcome. Although increased C reactive protein (CRP) is associated with death due to COVID-19 infections, results from different populations remain inconsistent. For a conclusive result, the present meta-analysis was performed. METHODS: We conducted a literature search in PubMed and Scopus database for the association of CRP concentration with COVID-19 disease outcomes. A total of 16 eligible studies were enrolled in the present analysis comprising of 1896 survivors and 849 non-survivors cases. Concentrations of CRP were compared and analyzed by a meta-analysis. RESULTS: Egger’s regression analysis (intercept = 0.04, P = 0.98, 95%CI = −5.48 to 5.58) and funnel plot revealed an absence of publication bias in the included studies. Due to the presence of significant heterogeneity across the studies (Q = 252.03, P(heterogeneity) = 0.000, I(2) = 93.65) random model was used for the analysis of the present study. The results of the meta-analysis demonstrated a significant role of CRP in COVID-19 infection outcome (Standard difference in means = 1.371, P = 0.000). CONCLUSIONS: Concentrations of CRP remained high in patients who died of COVID-19 infection and could be a promising biomarker for assessing disease lethality. |
format | Online Article Text |
id | pubmed-7274122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72741222020-06-05 C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection Sahu, Bikash R. Kampa, Raj Kishor Padhi, Archana Panda, Aditya K. Clin Chim Acta Article BACKGROUND: The novel coronavirus disease 2019 (COVID-19) first broke out in Wuhan, China, spread over 227 countries and caused approximately 0.3 million death worldwide. Several biomolecules have been explored for possible biomarkers for prognosis outcome. Although increased C reactive protein (CRP) is associated with death due to COVID-19 infections, results from different populations remain inconsistent. For a conclusive result, the present meta-analysis was performed. METHODS: We conducted a literature search in PubMed and Scopus database for the association of CRP concentration with COVID-19 disease outcomes. A total of 16 eligible studies were enrolled in the present analysis comprising of 1896 survivors and 849 non-survivors cases. Concentrations of CRP were compared and analyzed by a meta-analysis. RESULTS: Egger’s regression analysis (intercept = 0.04, P = 0.98, 95%CI = −5.48 to 5.58) and funnel plot revealed an absence of publication bias in the included studies. Due to the presence of significant heterogeneity across the studies (Q = 252.03, P(heterogeneity) = 0.000, I(2) = 93.65) random model was used for the analysis of the present study. The results of the meta-analysis demonstrated a significant role of CRP in COVID-19 infection outcome (Standard difference in means = 1.371, P = 0.000). CONCLUSIONS: Concentrations of CRP remained high in patients who died of COVID-19 infection and could be a promising biomarker for assessing disease lethality. Elsevier B.V. 2020-10 2020-06-05 /pmc/articles/PMC7274122/ /pubmed/32511972 http://dx.doi.org/10.1016/j.cca.2020.06.013 Text en © 2020 Elsevier B.V. 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 Sahu, Bikash R. Kampa, Raj Kishor Padhi, Archana Panda, Aditya K. C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title | C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title_full | C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title_fullStr | C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title_full_unstemmed | C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title_short | C-reactive protein: A promising biomarker for poor prognosis in COVID-19 infection |
title_sort | c-reactive protein: a promising biomarker for poor prognosis in covid-19 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7274122/ https://www.ncbi.nlm.nih.gov/pubmed/32511972 http://dx.doi.org/10.1016/j.cca.2020.06.013 |
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