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The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review
Since December 2019, coronavirus diseases-2019 (COVID-19) dispersed into 200 countries and affected more than 70 million people. The clear picture of the SARS-CoV-2 infection is still under investigation. In this review, we evaluated whether C-reactive protein biomarker is able to predict the clinic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516378/ https://www.ncbi.nlm.nih.gov/pubmed/34659766 http://dx.doi.org/10.1177/20503121211050755 |
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author | Yitbarek, Getachew Yideg Walle Ayehu, Gashaw Asnakew, Sintayehu Ayele, Fanos Yeshanew Bariso Gare, Moyeta Mulu, Anemut Tilahun Dagnaw, Fentaw Teshome Melesie, Biruk Demissie |
author_facet | Yitbarek, Getachew Yideg Walle Ayehu, Gashaw Asnakew, Sintayehu Ayele, Fanos Yeshanew Bariso Gare, Moyeta Mulu, Anemut Tilahun Dagnaw, Fentaw Teshome Melesie, Biruk Demissie |
author_sort | Yitbarek, Getachew Yideg |
collection | PubMed |
description | Since December 2019, coronavirus diseases-2019 (COVID-19) dispersed into 200 countries and affected more than 70 million people. The clear picture of the SARS-CoV-2 infection is still under investigation. In this review, we evaluated whether C-reactive protein biomarker is able to predict the clinical outcomes or correlated with the severity of COVID-19 disease. The databases MEDLINE, Hinari, Google Scholar, and Google search were used to find potential studies published from COVID-19 epidemic until May 2021. A format prepared in Microsoft Excel spreadsheet was used to extract the appropriate details from each original report. For further review, the extracted data were exported to STATA/MP version 16.0 software. Keywords including “COVID-19,” “SARS-CoV-2,” and “C-reactive protein,” among others were used to search relevant articles. Only studies which reported the average C-reactive protein value and COVID-19 disease stage outcomes were included. Twenty articles were included in the review. All studies found considerably higher level of C-reactive protein in patients with severe COVID-19 as compared to mildly infected patients. This review evidenced that it is still there for a given biomarker to early identify the state of progression in asymptomatic and/or mildly infected individuals into severe disease; the level of C-reactive protein may be used in predicting the likelihood of disease progression. Findings from this review showed level of C-reactive protein is a good biomarker to predict the severity of COVID-19 disease. Although COVID-19 researches are at the early stages, investigation of C-reactive protein levels throughout the disease course may have paramount importance for clinicians in early detection of severe manifestations and subsequently improve the prognosis. However, further large-scale studies are required to confirm these findings. |
format | Online Article Text |
id | pubmed-8516378 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-85163782021-10-15 The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review Yitbarek, Getachew Yideg Walle Ayehu, Gashaw Asnakew, Sintayehu Ayele, Fanos Yeshanew Bariso Gare, Moyeta Mulu, Anemut Tilahun Dagnaw, Fentaw Teshome Melesie, Biruk Demissie SAGE Open Med Systematic Review Since December 2019, coronavirus diseases-2019 (COVID-19) dispersed into 200 countries and affected more than 70 million people. The clear picture of the SARS-CoV-2 infection is still under investigation. In this review, we evaluated whether C-reactive protein biomarker is able to predict the clinical outcomes or correlated with the severity of COVID-19 disease. The databases MEDLINE, Hinari, Google Scholar, and Google search were used to find potential studies published from COVID-19 epidemic until May 2021. A format prepared in Microsoft Excel spreadsheet was used to extract the appropriate details from each original report. For further review, the extracted data were exported to STATA/MP version 16.0 software. Keywords including “COVID-19,” “SARS-CoV-2,” and “C-reactive protein,” among others were used to search relevant articles. Only studies which reported the average C-reactive protein value and COVID-19 disease stage outcomes were included. Twenty articles were included in the review. All studies found considerably higher level of C-reactive protein in patients with severe COVID-19 as compared to mildly infected patients. This review evidenced that it is still there for a given biomarker to early identify the state of progression in asymptomatic and/or mildly infected individuals into severe disease; the level of C-reactive protein may be used in predicting the likelihood of disease progression. Findings from this review showed level of C-reactive protein is a good biomarker to predict the severity of COVID-19 disease. Although COVID-19 researches are at the early stages, investigation of C-reactive protein levels throughout the disease course may have paramount importance for clinicians in early detection of severe manifestations and subsequently improve the prognosis. However, further large-scale studies are required to confirm these findings. SAGE Publications 2021-10-11 /pmc/articles/PMC8516378/ /pubmed/34659766 http://dx.doi.org/10.1177/20503121211050755 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page(https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Systematic Review Yitbarek, Getachew Yideg Walle Ayehu, Gashaw Asnakew, Sintayehu Ayele, Fanos Yeshanew Bariso Gare, Moyeta Mulu, Anemut Tilahun Dagnaw, Fentaw Teshome Melesie, Biruk Demissie The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title | The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title_full | The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title_fullStr | The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title_full_unstemmed | The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title_short | The role of C-reactive protein in predicting the severity of COVID-19 disease: A systematic review |
title_sort | role of c-reactive protein in predicting the severity of covid-19 disease: a systematic review |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8516378/ https://www.ncbi.nlm.nih.gov/pubmed/34659766 http://dx.doi.org/10.1177/20503121211050755 |
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