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D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study

BACKGROUND: Over 5,488,000 cases of coronavirus disease-19 (COVID-19) have been reported since December 2019. We aim to explore risk factors associated with mortality in COVID-19 patients and assess the use of D-dimer as a biomarker for disease severity and clinical outcome. METHODS: We retrospectiv...

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Autores principales: Yao, Yumeng, Cao, Jiatian, Wang, Qingqing, Shi, Qingfeng, Liu, Kai, Luo, Zhe, Chen, Xiang, Chen, Sisi, Yu, Kaihuan, Huang, Zheyong, Hu, Bijie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348129/
https://www.ncbi.nlm.nih.gov/pubmed/32665858
http://dx.doi.org/10.1186/s40560-020-00466-z
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author Yao, Yumeng
Cao, Jiatian
Wang, Qingqing
Shi, Qingfeng
Liu, Kai
Luo, Zhe
Chen, Xiang
Chen, Sisi
Yu, Kaihuan
Huang, Zheyong
Hu, Bijie
author_facet Yao, Yumeng
Cao, Jiatian
Wang, Qingqing
Shi, Qingfeng
Liu, Kai
Luo, Zhe
Chen, Xiang
Chen, Sisi
Yu, Kaihuan
Huang, Zheyong
Hu, Bijie
author_sort Yao, Yumeng
collection PubMed
description BACKGROUND: Over 5,488,000 cases of coronavirus disease-19 (COVID-19) have been reported since December 2019. We aim to explore risk factors associated with mortality in COVID-19 patients and assess the use of D-dimer as a biomarker for disease severity and clinical outcome. METHODS: We retrospectively analyzed the clinical, laboratory, and radiological characteristics of 248 consecutive cases of COVID-19 in Renmin Hospital of Wuhan University, Wuhan, China from January 28 to March 08, 2020. Univariable and multivariable logistic regression methods were used to explore risk factors associated with in-hospital mortality. Correlations of D-dimer upon admission with disease severity and in-hospital mortality were analyzed. Receiver operating characteristic curve was used to determine the optimal cutoff level for D-dimer that discriminated those survivors versus non-survivors during hospitalization. RESULTS: Multivariable regression that showed D-dimer > 2.0 mg/L at admission was the only variable associated with increased odds of mortality [OR 10.17 (95% CI 1.10–94.38), P = 0.041]. D-dimer elevation (≥ 0.50 mg/L) was seen in 74.6% (185/248) of the patients. Pulmonary embolism and deep vein thrombosis were ruled out in patients with high probability of thrombosis. D-dimer levels significantly increased with increasing severity of COVID-19 as determined by clinical staging (Kendall’s tau-b = 0.374, P = 0.000) and chest CT staging (Kendall’s tau-b = 0.378, P = 0.000). In-hospital mortality rate was 6.9%. Median D-dimer level in non-survivors (n = 17) was significantly higher than in survivors (n = 231) [6.21 (3.79–16.01) mg/L versus 1.02 (0.47–2.66) mg/L, P = 0.000]. D-dimer level of > 2.14 mg/L predicted in-hospital mortality with a sensitivity of 88.2% and specificity of 71.3% (AUC 0.85; 95% CI = 0.77–0.92). CONCLUSIONS: D-dimer is commonly elevated in patients with COVID-19. D-dimer levels correlate with disease severity and are a reliable prognostic marker for in-hospital mortality in patients admitted for COVID-19.
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spelling pubmed-73481292020-07-10 D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study Yao, Yumeng Cao, Jiatian Wang, Qingqing Shi, Qingfeng Liu, Kai Luo, Zhe Chen, Xiang Chen, Sisi Yu, Kaihuan Huang, Zheyong Hu, Bijie J Intensive Care Research BACKGROUND: Over 5,488,000 cases of coronavirus disease-19 (COVID-19) have been reported since December 2019. We aim to explore risk factors associated with mortality in COVID-19 patients and assess the use of D-dimer as a biomarker for disease severity and clinical outcome. METHODS: We retrospectively analyzed the clinical, laboratory, and radiological characteristics of 248 consecutive cases of COVID-19 in Renmin Hospital of Wuhan University, Wuhan, China from January 28 to March 08, 2020. Univariable and multivariable logistic regression methods were used to explore risk factors associated with in-hospital mortality. Correlations of D-dimer upon admission with disease severity and in-hospital mortality were analyzed. Receiver operating characteristic curve was used to determine the optimal cutoff level for D-dimer that discriminated those survivors versus non-survivors during hospitalization. RESULTS: Multivariable regression that showed D-dimer > 2.0 mg/L at admission was the only variable associated with increased odds of mortality [OR 10.17 (95% CI 1.10–94.38), P = 0.041]. D-dimer elevation (≥ 0.50 mg/L) was seen in 74.6% (185/248) of the patients. Pulmonary embolism and deep vein thrombosis were ruled out in patients with high probability of thrombosis. D-dimer levels significantly increased with increasing severity of COVID-19 as determined by clinical staging (Kendall’s tau-b = 0.374, P = 0.000) and chest CT staging (Kendall’s tau-b = 0.378, P = 0.000). In-hospital mortality rate was 6.9%. Median D-dimer level in non-survivors (n = 17) was significantly higher than in survivors (n = 231) [6.21 (3.79–16.01) mg/L versus 1.02 (0.47–2.66) mg/L, P = 0.000]. D-dimer level of > 2.14 mg/L predicted in-hospital mortality with a sensitivity of 88.2% and specificity of 71.3% (AUC 0.85; 95% CI = 0.77–0.92). CONCLUSIONS: D-dimer is commonly elevated in patients with COVID-19. D-dimer levels correlate with disease severity and are a reliable prognostic marker for in-hospital mortality in patients admitted for COVID-19. BioMed Central 2020-07-10 /pmc/articles/PMC7348129/ /pubmed/32665858 http://dx.doi.org/10.1186/s40560-020-00466-z Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yao, Yumeng
Cao, Jiatian
Wang, Qingqing
Shi, Qingfeng
Liu, Kai
Luo, Zhe
Chen, Xiang
Chen, Sisi
Yu, Kaihuan
Huang, Zheyong
Hu, Bijie
D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title_full D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title_fullStr D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title_full_unstemmed D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title_short D-dimer as a biomarker for disease severity and mortality in COVID-19 patients: a case control study
title_sort d-dimer as a biomarker for disease severity and mortality in covid-19 patients: a case control study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7348129/
https://www.ncbi.nlm.nih.gov/pubmed/32665858
http://dx.doi.org/10.1186/s40560-020-00466-z
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