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The predictive value of serum level of cystatin C for COVID-19 severity
To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predict...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578213/ https://www.ncbi.nlm.nih.gov/pubmed/34754069 http://dx.doi.org/10.1038/s41598-021-01570-2 |
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author | Lin, Luanfeng Chen, Xiaoling Chen, Junnian Pan, Xiaobin Xia, Pincang Lin, Hailong Du, Houwei |
author_facet | Lin, Luanfeng Chen, Xiaoling Chen, Junnian Pan, Xiaobin Xia, Pincang Lin, Hailong Du, Houwei |
author_sort | Lin, Luanfeng |
collection | PubMed |
description | To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594–0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25–6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients. |
format | Online Article Text |
id | pubmed-8578213 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-85782132021-11-10 The predictive value of serum level of cystatin C for COVID-19 severity Lin, Luanfeng Chen, Xiaoling Chen, Junnian Pan, Xiaobin Xia, Pincang Lin, Hailong Du, Houwei Sci Rep Article To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594–0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25–6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients. Nature Publishing Group UK 2021-11-09 /pmc/articles/PMC8578213/ /pubmed/34754069 http://dx.doi.org/10.1038/s41598-021-01570-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Lin, Luanfeng Chen, Xiaoling Chen, Junnian Pan, Xiaobin Xia, Pincang Lin, Hailong Du, Houwei The predictive value of serum level of cystatin C for COVID-19 severity |
title | The predictive value of serum level of cystatin C for COVID-19 severity |
title_full | The predictive value of serum level of cystatin C for COVID-19 severity |
title_fullStr | The predictive value of serum level of cystatin C for COVID-19 severity |
title_full_unstemmed | The predictive value of serum level of cystatin C for COVID-19 severity |
title_short | The predictive value of serum level of cystatin C for COVID-19 severity |
title_sort | predictive value of serum level of cystatin c for covid-19 severity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8578213/ https://www.ncbi.nlm.nih.gov/pubmed/34754069 http://dx.doi.org/10.1038/s41598-021-01570-2 |
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