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A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients

To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT)...

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Detalles Bibliográficos
Autores principales: Chen, Xu, Wang, Qinghua, Xu, Min, Li, Chengbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549161/
https://www.ncbi.nlm.nih.gov/pubmed/33030047
http://dx.doi.org/10.1177/1076029620964868
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author Chen, Xu
Wang, Qinghua
Xu, Min
Li, Chengbin
author_facet Chen, Xu
Wang, Qinghua
Xu, Min
Li, Chengbin
author_sort Chen, Xu
collection PubMed
description To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT), thrombin time (TT), D-dimer were significantly higher in the severe group (P < 0.05), and the highest area under the curve (AUC) is 0.91 for D-dimer, while the AUC of PT and TT were 0.80 and 0.61 respectively. We identified that D-dimer has a better value in predicting patients who are likely to develop into severe cases, with the sensitivity and specificity were 84.4% and 88.8%, respectively. D-dimer may be a good biomarker to separate the severe COVID-19 patients from the mild ones.
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spelling pubmed-75491612020-10-22 A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients Chen, Xu Wang, Qinghua Xu, Min Li, Chengbin Clin Appl Thromb Hemost Original Article To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT), thrombin time (TT), D-dimer were significantly higher in the severe group (P < 0.05), and the highest area under the curve (AUC) is 0.91 for D-dimer, while the AUC of PT and TT were 0.80 and 0.61 respectively. We identified that D-dimer has a better value in predicting patients who are likely to develop into severe cases, with the sensitivity and specificity were 84.4% and 88.8%, respectively. D-dimer may be a good biomarker to separate the severe COVID-19 patients from the mild ones. SAGE Publications 2020-10-08 /pmc/articles/PMC7549161/ /pubmed/33030047 http://dx.doi.org/10.1177/1076029620964868 Text en © The Author(s) 2020 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 pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Article
Chen, Xu
Wang, Qinghua
Xu, Min
Li, Chengbin
A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title_full A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title_fullStr A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title_full_unstemmed A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title_short A Retrospective Analysis of the Coagulation Dysfunction in COVID-19 Patients
title_sort retrospective analysis of the coagulation dysfunction in covid-19 patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7549161/
https://www.ncbi.nlm.nih.gov/pubmed/33030047
http://dx.doi.org/10.1177/1076029620964868
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