Background: Immunothrombosis and coagulopathy in the lung microvasculature may lead to lung injury and disease progression in coronavirus disease 2019 .We aim to identify biomarkers of coagulation, endothelial function, and fibrinolysis that are associated with disease severity and may have prognostic potential. Methods:We performed a single-center prospective study of 14 adult COVID-19(+) intensive care unit patients who were age-and sex-matched to 14 COVID-19(−) intensive care unit patients, and healthy controls. Daily blood draws, clinical data, and patient characteristics were collected. Baseline values for 10 biomarkers of interest were compared between the three groups, and visualized using Fisher's linear discriminant function. Linear repeated-measures mixed models were used to screen biomarkers for associations with mortality. Selected biomarkers were further explored and entered into an unsupervised longitudinal clustering machine learning algorithm to identify trends and targets that may be used for future predictive modelling efforts.Results: Elevated D-dimer was the strongest contributor in distinguishing COVID-19 status; however, D-dimer was not associated with survival. Variable selection identified clot lysis time, and antigen levels of soluble thrombomodulin (sTM), plasminogen activator inhibitor-1 (PAI-1), and plasminogen as biomarkers associated with death.Longitudinal multivariate k-means clustering on these biomarkers alone identified two clusters of COVID-19(+) patients: low (30%) and high (100%) mortality groups. Biomarker trajectories that characterized the high mortality cluster were higher clot lysis times (inhibited fibrinolysis), higher sTM and PAI-1 levels, and lower plasminogen levels. Conclusions: Longitudinal trajectories of clot lysis time, sTM, PAI-1, and plasminogen may have predictive ability for mortality in COVID-19.| 1547 JUNEJA Et Al.
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Introduction: Cell-free DNA (CFDNA) has emerged as a prognostic biomarker in patients with sepsis. Circulating CFDNA is hypothesized to be associated with histones in the form of nucleosomes. In vitro, DNA activates coagulation and inhibits fibrinolysis, whereas histones activate platelets and are cytotoxic to endothelial cells. Previous studies have targeted CFDNA or histones in animal models of sepsis using DNase I or heparins, respectively, which has reduced inflammatory and thrombosis markers, thereby improving survival. In this study, we explored the possibility that the combination of DNase I and a low-molecular weight heparin (LMWH) may be a better therapeutic approach than monotherapy in a murine model of abdominal sepsis. Methods: C57Bl/6 mice (8-12 weeks old, both sexes) were subjected to either cecal ligation and puncture or sham surgery. Mice were given antibiotics, fluids, and either saline, DNase I (intraperitoneally, 20 mg/kg/8 h), LMWH (dalteparin, subcutaneously 500 IU/kg/12 h), or a combination of both (n = 12-31). Mice were monitored over 72 h for survival. Organs and blood were harvested for analysis. Levels of LMWH, CFDNA, IL-6, citrullinated histone-H3, thrombin-antithrombin complexes, and protein C were measured in plasma. Results: Administration of either DNase I (81.8%) or LMWH (83.3%, prophylactic range of 0.12 ± 0.07 IU/mL achieved) improved the survival of septic mice compared with saline-(38.7%) and combination-treated mice (48.8%, P < 0.05). Combination-treated mice also showed a small but insignificant improvement in survival compared with saline-treated cecal ligation and puncture mice. Monotherapies may be improving survival by reducing blood bacterial loads, citrullinated histone-H3, and thrombin-antithrombin complexes, and improving protein C levels. Conclusions: Compared with saline-and combination-treated mice, administration of monotherapies to septic mice improved survival. These findings suggest that there may be a negative drug-drug interaction between DNase I and LMWH when DNase I is administered intraperitoneally in a murine model of polymicrobial abdominal sepsis.
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