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Campbell RA, Hisada Y, Denorme F, Grover SP, Bouck EG, Middleton EA, Wolberg AS, Rondina MT, Mackman N. Comparison of the coagulopathies associated with COVID-19 and sepsis. Res Pract Thromb Haemost 2021; 5:e12525. [PMID: 34027292 PMCID: PMC8131194 DOI: 10.1002/rth2.12525] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 02/26/2021] [Accepted: 03/30/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) is associated with activation of coagulation that mainly presents as thrombosis. Sepsis is also associated with activation of coagulation that mainly presents as disseminated intravascular coagulation. Many studies have reported increased levels of plasma d-dimer in patients with COVID-19 that is associated with severity, thrombosis, and mortality. OBJECTIVES The aim of this study was to compare levels of circulating extracellular vesicle tissue factor (EVTF) activity and active plasminogen activator inhibitor 1 (PAI-1) in plasma from patients with COVID-19 or sepsis. METHODS We measured levels of d-dimer, EVTF activity, and active PAI-1 in plasma samples from patients with COVID-19 (intensive care unit [ICU], N = 15; and non-ICU, N = 20) and patients with sepsis (N = 35). RESULTS Patients with COVID-19 had significantly higher levels of d-dimer, EVTF activity, and active PAI-1 compared with healthy controls. Patients with sepsis had significantly higher levels of d-dimer and EVTF activity compared with healthy controls. Levels of d-dimer were significantly lower in patients with COVID-19 compared with patients with sepsis. Levels of EVTF activity were significantly higher in ICU patients with COVID-19 compared with patients with sepsis. Levels of active PAI-1 were significantly higher in patients with COVID-19 compared with patients with sepsis. CONCLUSIONS High levels of both EVTF activity and active PAI-1 may promote thrombosis in patients with COVID-19 due to simultaneous activation of coagulation and inhibition of fibrinolysis. The high levels of active PAI-1 in patients with COVID-19 may limit plasmin degradation of crosslinked fibrin and the release of d-dimer. This may explain the lower levels of D-dimer in patients with COVID-19 compared with patients with sepsis.
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Affiliation(s)
- Robert A. Campbell
- University of Utah Molecular Medicine ProgramSalt Lake CityUTUSA,Department of Internal MedicineUniversity of UtahSalt Lake CityUTUSA
| | - Yohei Hisada
- UNC Blood Research CenterUniversity of North Carolina at Chapel HillChapel HillNCUSA,Division of HematologyDepartment of MedicineUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Frederik Denorme
- University of Utah Molecular Medicine ProgramSalt Lake CityUTUSA
| | - Steven P. Grover
- UNC Blood Research CenterUniversity of North Carolina at Chapel HillChapel HillNCUSA,Division of HematologyDepartment of MedicineUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Emma G. Bouck
- UNC Blood Research CenterUniversity of North Carolina at Chapel HillChapel HillNCUSA,Department of Pathology and Laboratory MedicineUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | | | - Alisa S. Wolberg
- UNC Blood Research CenterUniversity of North Carolina at Chapel HillChapel HillNCUSA,Department of Pathology and Laboratory MedicineUniversity of North Carolina at Chapel HillChapel HillNCUSA
| | - Matthew T. Rondina
- University of Utah Molecular Medicine ProgramSalt Lake CityUTUSA,George E. Wahlen VAMC Department of Internal Medicine and GRECCSalt Lake CityUTUSA,Department of PathologyUniversity of UtahSalt Lake CityUTUSA
| | - Nigel Mackman
- UNC Blood Research CenterUniversity of North Carolina at Chapel HillChapel HillNCUSA,Division of HematologyDepartment of MedicineUniversity of North Carolina at Chapel HillChapel HillNCUSA
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Bareille M, Hardy M, Douxfils J, Roullet S, Lasne D, Levy JH, Stépanian A, Susen S, Frère C, Lecompte T, Mullier F. Viscoelastometric Testing to Assess Hemostasis of COVID-19: A Systematic Review. J Clin Med 2021; 10:jcm10081740. [PMID: 33923851 PMCID: PMC8072929 DOI: 10.3390/jcm10081740] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 02/06/2023] Open
Abstract
Infection by SARS-CoV-2 is associated with a high risk of thrombosis. The laboratory documentation of hypercoagulability and impaired fibrinolysis remains a challenge. Our aim was to assess the potential usefulness of viscoelastometric testing (VET) to predict thrombotic events in COVID-19 patients according to the literature. We also (i) analyzed the impact of anticoagulation and the methods used to neutralize heparin, (ii) analyzed whether maximal clot mechanical strength brings more information than Clauss fibrinogen, and (iii) critically scrutinized the diagnosis of hypofibrinolysis. We performed a systematic search in PubMed and Scopus databases until 31st December 2020. VET methods and parameters, and patients' features and outcomes were extracted. VET was performed for 1063 patients (893 intensive care unit (ICU) and 170 non-ICU, 44 studies). There was extensive heterogeneity concerning study design, VET device used (ROTEM, TEG, Quantra and ClotPro) and reagents (with non-systematic use of heparin neutralization), timing of assay, and definition of hypercoagulable state. Notably, only 4 out of 25 studies using ROTEM reported data with heparinase (HEPTEM). The common findings were increased clot mechanical strength mainly due to excessive fibrinogen component and impaired to absent fibrinolysis, more conspicuous in the presence of an added plasminogen activator. Only 4 studies out of the 16 that addressed the point found an association of VETs with thrombotic events. So-called functional fibrinogen assessed by VETs showed a variable correlation with Clauss fibrinogen. Abnormal VET pattern, often evidenced despite standard prophylactic anticoagulation, tended to normalize after increased dosing. VET studies reported heterogeneity, and small sample sizes do not support an association between the poorly defined prothrombotic phenotype of COVID-19 and thrombotic events.
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Affiliation(s)
- Marion Bareille
- Namur Thrombosis and Hemostasis Center (NTHC), CHU UCL Namur, Université Catholique de Louvain, 5530 Yvoir, Belgium;
- Correspondence:
| | - Michaël Hardy
- Service D’anesthésiologie, CHU UCL Namur, Université Catholique de Louvain, 5530 Yvoir, Belgium;
| | - Jonathan Douxfils
- Namur Thrombosis and Hemostasis Center (NTHC), Département de Pharmacie, Université de Namur, 5000 Namur, Belgium;
- Qualiblood S.A., 5000 Namur, Belgium
| | - Stéphanie Roullet
- CHU Bordeaux, Service D’Anesthésie-Réanimation Tripode, 33000 Bordeaux, France;
- Biologie des Maladies Cardiovasculaire, University Bordeaux, INSERM U1034, 33600 Pessac, France
| | - Dominique Lasne
- Laboratoire D’hématologie Générale, Hôpital Universitaire Necker-Enfants Malades, AP-HP, 75015 Paris, France;
| | - Jerrold H. Levy
- Departments of Anesthesiology, Critical Care, and Surgery (Cardiothoracic), Duke University School of Medicine, Durham, NC 27710, USA;
| | - Alain Stépanian
- Hôpital Lariboisière, Service D’Hématologie Biologique, Institut de Recherche Saint-Louis, Université de Paris, AP-HP Nord-Université de Paris, EA 3518, 75010 Paris, France;
| | - Sophie Susen
- Laboratoire D’Hématologie-Hémostase, Université de Lille, CHU Lille, 59037 Lille, France;
| | - Corinne Frère
- Department of Hematology, Pitié-Salpêtrière Hospital, Assistance Publique Hôpitaux de Paris, INSERM UMRS_1166, Sorbonne Université, 75013 Paris, France;
| | - Thomas Lecompte
- Départements de Médecine, Service D’angiologie et D’hémostase et Faculté de Médecine Geneva Platelet Group (GpG), Université de Genève et Hôpitaux Universitaires de Genève, 1205 Genève, Switzerland;
| | - François Mullier
- Namur Thrombosis and Hemostasis Center (NTHC), CHU UCL Namur, Université Catholique de Louvain, 5530 Yvoir, Belgium;
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53
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Meizoso JP, Moore HB, Moore EE. Fibrinolysis Shutdown in COVID-19: Clinical Manifestations, Molecular Mechanisms, and Therapeutic Implications. J Am Coll Surg 2021; 232:995-1003. [PMID: 33766727 PMCID: PMC7982779 DOI: 10.1016/j.jamcollsurg.2021.02.019] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 02/18/2021] [Accepted: 02/19/2021] [Indexed: 02/06/2023]
Abstract
The COVID-19 pandemic has introduced a global public health threat unparalleled in our history. The most severe cases are marked by ARDS attributed to microvascular thrombosis. Hypercoagulability, resulting in a profoundly prothrombotic state, is a distinct feature of COVID-19 and is accentuated by a high incidence of fibrinolysis shutdown. The aims of this review were to describe the manifestations of fibrinolysis shutdown in COVID-19 and its associated outcomes, review the molecular mechanisms of dysregulated fibrinolysis associated with COVID-19, and discuss potential implications and therapeutic targets for patients with severe COVID-19.
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Affiliation(s)
- Jonathan P Meizoso
- Ernest E Moore Shock Trauma Center, Denver Health Medical Center, University of Colorado, Denver, CO.
| | - Hunter B Moore
- Division of Transplant Surgery, University of Colorado, Denver, CO
| | - Ernest E Moore
- Ernest E Moore Shock Trauma Center, Denver Health Medical Center, University of Colorado, Denver, CO
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54
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Assessing Plasmin Generation in Health and Disease. Int J Mol Sci 2021; 22:ijms22052758. [PMID: 33803235 PMCID: PMC7963172 DOI: 10.3390/ijms22052758] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/20/2021] [Accepted: 03/05/2021] [Indexed: 12/13/2022] Open
Abstract
Fibrinolysis is an important process in hemostasis responsible for dissolving the clot during wound healing. Plasmin is a central enzyme in this process via its capacity to cleave fibrin. The kinetics of plasmin generation (PG) and inhibition during fibrinolysis have been poorly understood until the recent development of assays to quantify these metrics. The assessment of plasmin kinetics allows for the identification of fibrinolytic dysfunction and better understanding of the relationships between abnormal fibrin dissolution and disease pathogenesis. Additionally, direct measurement of the inhibition of PG by antifibrinolytic medications, such as tranexamic acid, can be a useful tool to assess the risks and effectiveness of antifibrinolytic therapy in hemorrhagic diseases. This review provides an overview of available PG assays to directly measure the kinetics of plasmin formation and inhibition in human and mouse plasmas and focuses on their applications in defining the role of plasmin in diseases, including angioedema, hemophilia, rare bleeding disorders, COVID-19, or diet-induced obesity. Moreover, this review introduces the PG assay as a promising clinical and research method to monitor antifibrinolytic medications and screen for genetic or acquired fibrinolytic disorders.
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Tang G, Luo Y, Lu F, Li W, Liu X, Nan Y, Ren Y, Liao X, Wu S, Jin H, Zomaya AY, Sun Z. Prediction of Sepsis in COVID-19 Using Laboratory Indicators. Front Cell Infect Microbiol 2021; 10:586054. [PMID: 33747973 PMCID: PMC7966961 DOI: 10.3389/fcimb.2020.586054] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 12/14/2020] [Indexed: 01/08/2023] Open
Abstract
Background The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration of patients’ condition. We aim to diagnose Viral Sepsis Caused by SARS-CoV-2 by analyzing laboratory test data of patients with COVID-19 and establish an early predictive model for sepsis risk among patients with COVID-19. Methods This study retrospectively investigated laboratory test data of 2,453 patients with COVID-19 from electronic health records. Extreme gradient boosting (XGBoost) was employed to build four models with different feature subsets of a total of 69 collected indicators. Meanwhile, the explainable Shapley Additive ePlanation (SHAP) method was adopted to interpret predictive results and to analyze the feature importance of risk factors. Findings The model for classifying COVID-19 viral sepsis with seven coagulation function indicators achieved the area under the receiver operating characteristic curve (AUC) 0.9213 (95% CI, 89.94–94.31%), sensitivity 97.17% (95% CI, 94.97–98.46%), and specificity 82.05% (95% CI, 77.24–86.06%). The model for identifying COVID-19 coagulation disorders with eight features provided an average of 3.68 (±) 4.60 days in advance for early warning prediction with 0.9298 AUC (95% CI, 86.91–99.04%), 82.22% sensitivity (95% CI, 67.41–91.49%), and 84.00% specificity (95% CI, 63.08–94.75%). Interpretation We found that an abnormality of the coagulation function was related to the occurrence of sepsis and the other routine laboratory test represented by inflammatory factors had a moderate predictive value on coagulopathy, which indicated that early warning of sepsis in COVID-19 patients could be achieved by our established model to improve the patient’s prognosis and to reduce mortality.
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Affiliation(s)
- Guoxing Tang
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ying Luo
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Feng Lu
- National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Wei Li
- The Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies, Centre for Distributed and High Performance Computing, School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Xiongcheng Liu
- National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Yucen Nan
- The Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies, Centre for Distributed and High Performance Computing, School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Yufei Ren
- Department of Computer Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaofei Liao
- National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Song Wu
- National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Hai Jin
- National Engineering Research Center for Big Data Technology and System, Services Computing Technology and System Lab, Cluster and Grid Computing Lab, School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, China
| | - Albert Y Zomaya
- The Australia-China Joint Research Centre for Energy Informatics and Demand Response Technologies, Centre for Distributed and High Performance Computing, School of Computer Science, The University of Sydney, Sydney, NSW, Australia
| | - Ziyong Sun
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Severe COVID-19 and Sepsis: Immune Pathogenesis and Laboratory Markers. Microorganisms 2021; 9:microorganisms9010159. [PMID: 33445583 PMCID: PMC7827860 DOI: 10.3390/microorganisms9010159] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/27/2020] [Accepted: 12/29/2020] [Indexed: 01/08/2023] Open
Abstract
The ongoing outbreak of the novel coronavirus disease 2019 (COVID-19), induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has taken a significant toll on people and countries all over the world. The pathogenesis of COVID-19 has not been completely elucidated yet. This includes the interplay between inflammation and coagulation which needs further investigation. The massive production of proinflammatory cytokines and chemokines results in the so-called cytokine storm, leading to plasma leakage, vascular hyperpermeability, and disseminated vascular coagulation. This is usually accompanied by multiorgan failure. The extensive changes in the serum levels of cytokines are thought to play a crucial role in the COVID-19 pathogenesis. Additionally, the viral load and host inflammation factors are believed to have a significant role in host damage, particularly lung damage, from SARS-CoV-2. Interestingly, patients exhibit quantitative and qualitative differences in their immune responses to the virus, which can impact the clinical manifestation and outcomes of COVID-19. There needs to be a better understanding of the dynamic events that involve immune responses, inflammatory reactions, and viral replication in the context of the COVID-19 infection. Here, we discuss the main aspects of COVID-19 pathogenesis while supporting the hypothesis that inflammatory immune responses are involved in the progression of the disease to a more critical and fatal phase. We also explore the similarities and differences between severe COVID-19 and sepsis. A deeper understanding of the COVID-19 clinical picture as it relates to better-known conditions such as sepsis can provide useful clues for the management, prevention, and therapy of the disease.
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