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Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China
Objective: To analyze the relationship between D-dimer, inflammatory markers, cytokines and disease severity, and the possibility of early identification of COVID-19 critical type patients. Methods: PubMed, EMBASE and CNKI databases were searched by computer, and references of related reviews and sy...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society of Hematology. Published by Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701414/ http://dx.doi.org/10.1182/blood-2021-152110 |
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author | Zhang, Jie Zhao, Lidong Wang, Gang Yang, Linhua |
author_facet | Zhang, Jie Zhao, Lidong Wang, Gang Yang, Linhua |
author_sort | Zhang, Jie |
collection | PubMed |
description | Objective: To analyze the relationship between D-dimer, inflammatory markers, cytokines and disease severity, and the possibility of early identification of COVID-19 critical type patients. Methods: PubMed, EMBASE and CNKI databases were searched by computer, and references of related reviews and systematic reviews were manually searched as supplements. The retrieval deadline is February 9, 2021. According to the inclusion and exclusion criteria, the literatures were screened and the quality was evaluated, and then the data were extracted for meta-analysis. The fixed/random effects model was used to calculate the weighted mean difference (WMD) and 95% CI to evaluate whether the levels of D-dimer, hsCRP, IL-6, IL-8, IL-10 and TNF-α in critical type patients were statistically different from those in severe type patients. If there were statistical differences, logistic regression analysis was used, and establish the receiver operating characteristic curve (ROC) and area under the curve (AUC) of each index for the diagnosis of critical type patients. The best diagnostic value of COVID-19 critical type patients was calculated by Youden index. Results: A total of 3519 literatures entered the screening process. According to the inclusion and exclusion criteria, 40 articles were finally included in this study, and all of them were high-quality studies after evaluation. The results of meta-analysis showed that the levels of D-dimer, hsCRP, IL-6, IL-8 and IL-10 in critical type group were significantly higher than those in severe type group (P<0.05). Based on ROC curve, the AUC of D-dimer was 0.785 (95% CI: 0.671-0.899), AUC of hsCRP was 0.884 (95% CI: 0.632-1.000), AUC of IL-6 was 0.819 (95% CI: 0.700-0.939), which had diagnostic significance for critical type patients (P<0.05). The optimal diagnostic threshold of D-dimer was ≥2.00 mg/L (sensitivity 89.3%, specificity 64.0%); the optimal diagnostic threshold of hsCRP was ≥64.22 mg/L (sensitivity 75.0%, specificity 100%); the optimal diagnostic threshold of IL-6 was ≥33.01 ng/L (sensitivity 68.0%, specificity 92.0%). Conclusion: The levels of D-dimer, hsCRP, IL-6, IL-8 and IL-10 in COVID-19 critical type patients were significantly higher than those in severe type patients. Our results might be helpful in identify and risk reduction of mortality in critical types patients infected with COVID-19. DISCLOSURES: No relevant conflicts of interest to declare. |
format | Online Article Text |
id | pubmed-8701414 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Society of Hematology. Published by Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87014142021-12-28 Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China Zhang, Jie Zhao, Lidong Wang, Gang Yang, Linhua Blood 321.Coagulation and Fibrinolyis: Basic and Translational Objective: To analyze the relationship between D-dimer, inflammatory markers, cytokines and disease severity, and the possibility of early identification of COVID-19 critical type patients. Methods: PubMed, EMBASE and CNKI databases were searched by computer, and references of related reviews and systematic reviews were manually searched as supplements. The retrieval deadline is February 9, 2021. According to the inclusion and exclusion criteria, the literatures were screened and the quality was evaluated, and then the data were extracted for meta-analysis. The fixed/random effects model was used to calculate the weighted mean difference (WMD) and 95% CI to evaluate whether the levels of D-dimer, hsCRP, IL-6, IL-8, IL-10 and TNF-α in critical type patients were statistically different from those in severe type patients. If there were statistical differences, logistic regression analysis was used, and establish the receiver operating characteristic curve (ROC) and area under the curve (AUC) of each index for the diagnosis of critical type patients. The best diagnostic value of COVID-19 critical type patients was calculated by Youden index. Results: A total of 3519 literatures entered the screening process. According to the inclusion and exclusion criteria, 40 articles were finally included in this study, and all of them were high-quality studies after evaluation. The results of meta-analysis showed that the levels of D-dimer, hsCRP, IL-6, IL-8 and IL-10 in critical type group were significantly higher than those in severe type group (P<0.05). Based on ROC curve, the AUC of D-dimer was 0.785 (95% CI: 0.671-0.899), AUC of hsCRP was 0.884 (95% CI: 0.632-1.000), AUC of IL-6 was 0.819 (95% CI: 0.700-0.939), which had diagnostic significance for critical type patients (P<0.05). The optimal diagnostic threshold of D-dimer was ≥2.00 mg/L (sensitivity 89.3%, specificity 64.0%); the optimal diagnostic threshold of hsCRP was ≥64.22 mg/L (sensitivity 75.0%, specificity 100%); the optimal diagnostic threshold of IL-6 was ≥33.01 ng/L (sensitivity 68.0%, specificity 92.0%). Conclusion: The levels of D-dimer, hsCRP, IL-6, IL-8 and IL-10 in COVID-19 critical type patients were significantly higher than those in severe type patients. Our results might be helpful in identify and risk reduction of mortality in critical types patients infected with COVID-19. DISCLOSURES: No relevant conflicts of interest to declare. American Society of Hematology. Published by Elsevier Inc. 2021-11-23 2021-12-24 /pmc/articles/PMC8701414/ http://dx.doi.org/10.1182/blood-2021-152110 Text en Copyright © 2021 American Society of Hematology. Published by Elsevier Inc. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | 321.Coagulation and Fibrinolyis: Basic and Translational Zhang, Jie Zhao, Lidong Wang, Gang Yang, Linhua Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title | Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title_full | Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title_fullStr | Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title_full_unstemmed | Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title_short | Meta-Analysis of D-Dimer, hsCRP and Cytokines in COVID-19 Severe/Critical Patients in China |
title_sort | meta-analysis of d-dimer, hscrp and cytokines in covid-19 severe/critical patients in china |
topic | 321.Coagulation and Fibrinolyis: Basic and Translational |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701414/ http://dx.doi.org/10.1182/blood-2021-152110 |
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