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The value of serum amyloid A for predicting the severity and recovery of COVID-19
The present study aimed to evaluate the value of serum amyloid A (SAA) in coronavirus disease 2019 (COVID-19) and compared the efficacy of SAA and C-reactive protein (CRP) in predicting the severity and recovery of COVID-19. A retrospective study was conducted on COVID-19 patients hospitalized in Wu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444421/ https://www.ncbi.nlm.nih.gov/pubmed/32855710 http://dx.doi.org/10.3892/etm.2020.9114 |
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author | Fu, Jun Huang, Pian-Pian Zhang, Shuang Yao, Qing-Dong Han, Rui Liu, Hai-Feng Yang, Yi Zhang, Dong-You |
author_facet | Fu, Jun Huang, Pian-Pian Zhang, Shuang Yao, Qing-Dong Han, Rui Liu, Hai-Feng Yang, Yi Zhang, Dong-You |
author_sort | Fu, Jun |
collection | PubMed |
description | The present study aimed to evaluate the value of serum amyloid A (SAA) in coronavirus disease 2019 (COVID-19) and compared the efficacy of SAA and C-reactive protein (CRP) in predicting the severity and recovery of COVID-19. A retrospective study was conducted on COVID-19 patients hospitalized in Wuhan No. 1 Hospital (Hubei, China) from January 21, 2020 to March 4, 2020. A two-way ANOVA analysis was used to compare the serum CRP and SAA levels between mild group and severe group during hospitalization days. Linear regression was used to analyze the relationship between the serum CRP, SAA levels and treatment days in recovered patients. The Logistic regression analysis and the area under curve (AUC) were calculated to determine the probability for predicting the severity and recovery of COVID-19. The severe group displayed higher CRP and SAA levels compared with the mild group during hospitalization (P<0.001). Logistic regression indicated that SAA and CRP were independent risk factors for the severity of COVID-19. The corresponding AUC of CRP and SAA values for severity of COVID-19 were 0.804 and 0.818, respectively. Linear regression analysis revealed that CRP and SAA levels were negatively correlated with treatment days in recovered patients (r=-0.761, -0.795, respectively). Logistic regression demonstrated that SAA was an independent factor for predicting the recovery of COVID-19. However, CRP could not predict the recovery of COVID-19. The corresponding AUC of SAA for the recovery of COVID-19 was 0.923. The results of the present study indicated that SAA can be considered to be a biomarker for predicting the severity and recovery of COVID-19. |
format | Online Article Text |
id | pubmed-7444421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-74444212020-08-26 The value of serum amyloid A for predicting the severity and recovery of COVID-19 Fu, Jun Huang, Pian-Pian Zhang, Shuang Yao, Qing-Dong Han, Rui Liu, Hai-Feng Yang, Yi Zhang, Dong-You Exp Ther Med Articles The present study aimed to evaluate the value of serum amyloid A (SAA) in coronavirus disease 2019 (COVID-19) and compared the efficacy of SAA and C-reactive protein (CRP) in predicting the severity and recovery of COVID-19. A retrospective study was conducted on COVID-19 patients hospitalized in Wuhan No. 1 Hospital (Hubei, China) from January 21, 2020 to March 4, 2020. A two-way ANOVA analysis was used to compare the serum CRP and SAA levels between mild group and severe group during hospitalization days. Linear regression was used to analyze the relationship between the serum CRP, SAA levels and treatment days in recovered patients. The Logistic regression analysis and the area under curve (AUC) were calculated to determine the probability for predicting the severity and recovery of COVID-19. The severe group displayed higher CRP and SAA levels compared with the mild group during hospitalization (P<0.001). Logistic regression indicated that SAA and CRP were independent risk factors for the severity of COVID-19. The corresponding AUC of CRP and SAA values for severity of COVID-19 were 0.804 and 0.818, respectively. Linear regression analysis revealed that CRP and SAA levels were negatively correlated with treatment days in recovered patients (r=-0.761, -0.795, respectively). Logistic regression demonstrated that SAA was an independent factor for predicting the recovery of COVID-19. However, CRP could not predict the recovery of COVID-19. The corresponding AUC of SAA for the recovery of COVID-19 was 0.923. The results of the present study indicated that SAA can be considered to be a biomarker for predicting the severity and recovery of COVID-19. D.A. Spandidos 2020-10 2020-08-07 /pmc/articles/PMC7444421/ /pubmed/32855710 http://dx.doi.org/10.3892/etm.2020.9114 Text en Copyright: © Fu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Fu, Jun Huang, Pian-Pian Zhang, Shuang Yao, Qing-Dong Han, Rui Liu, Hai-Feng Yang, Yi Zhang, Dong-You The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title | The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title_full | The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title_fullStr | The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title_full_unstemmed | The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title_short | The value of serum amyloid A for predicting the severity and recovery of COVID-19 |
title_sort | value of serum amyloid a for predicting the severity and recovery of covid-19 |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444421/ https://www.ncbi.nlm.nih.gov/pubmed/32855710 http://dx.doi.org/10.3892/etm.2020.9114 |
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