Pharmacokinetics, pharmacodynamics and food effect of LB30870, a novel direct thrombin inhibitor, after single oral doses in healthy men

1. The safety, tolerability, pharmacokinetics, pharmacodynamics, and food effect of LB30870, a new selective thrombin inhibitor, were studied in 16 healthy men. 2. A double-blind, placebo-controlled single ascending dose study was done at oral doses of 5, 15, 30, 60, 120, and 240 mg under fasting conditions. An open, randomized, balanced cross-over food effect study was done at 60 mg dose. Plasma and urinary concentrations were measured up to 48 h post-dose. Coagulation and thrombin activity markers were measured at selected time points. 3. Cmax of LB30870 was at 1.3-3.0 h post-dose with a mean apparent terminal half-life (t1/2) of 2.8-4.1 h. AUC after doses above 15 mg appeared greater than dose-proportional. In fed state, AUC showed 80% reduction relative to fasting condition. 4. At doses 60 and 120 mg, peak activated partial thromboplastin time (aPTT) increased by 1.5- and 2-fold, respectively, from baseline. The aPTT and international normalized ratio (INR) were concentration-dependent, with less within-individual variability than ecarin clotting time (ECT), prothrombin time (PT), or thrombin time (TT). 5. Single oral doses of LB30870 up to 240 mg were well tolerated. The food effect must be overcome if LB30870 is to be used as an oral anti-coagulant.

Analysis of the diagnostic value of coagulation markers and coagulation function indices on the occurrence of DIC in sepsis and its prognosis

Sepsis is a life-threatening condition that has the potential to multiple organ dysfunction and mortality. One of its frequent complications is disseminated intravascular coagulation (DIC), characterized by hyperactive clotting mechanisms that cause widespread clot formation and tissue damage. This study aimed to investigate early diagnostic markers of sepsis-associated DIC by comparing inflammatory factor levels, 28-day survival rates, coagulation function, and markers between patients with sepsis (non-DIC group) and those with sepsis-induced DIC (DIC group). The study analyzed the diagnostic efficacy of coagulation function and markers in predicting the occurrence and prognosis of sepsis-associated DIC, presenting survival curves. Results indicated significantly increased levels of APTT, TAT, tPAIC, PIC, and sTM in the DIC group compared to the non-DIC group. Sequential Organ Failure Assessment (SOFA) scores on days 1, 3, and 7 were notably lower in the non-DIC group. Correlation analysis revealed positive associations between PT, APTT, TAT, tPAIC, PIC, sTM levels, and SOFA scores, as well as negative associations with Fib and SOFA scores. Survival curves showed substantially lower mortality rates in the non-DIC group, highlighting significant survival disparities between groups. Combining all four coagulation indicators (TAT+ tPAIC + PIC + sTM) showed promising diagnostic value in evaluating disease severity, early DIC diagnosis, and sepsis prognosis.

Coagulation markers and functional outcome in acute ischemic stroke: Impact of intensive versus standard hyperglycemia control

OBJECTIVE

Alterations in coagulation could mediate functional outcome in patients with hyperglycemia after acute ischemic stroke (AIS). We prospectively studied the effects of intensive versus standard glucose control on coagulation markers and their relationships to functional outcomes in patients with AIS.

APPROACH

The Insights on Selected Procoagulation Markers and Outcomes in Stroke Trial measured the coagulation biomarkers whole blood tissue factor procoagulant activity (TFPCA); plasma factors VII (FVII), VIIa (FVIIa), and VIII (FVIII); thrombin-antithrombin (TAT) complex; D-dimer; tissue factor pathway inhibitor, and plasminogen activator inhibitor-1 (PAI-1) antigen in patients enrolled in the Stroke Hyperglycemia Insulin Network Effort trial of intensive versus standard glucose control on functional outcome at 3 months after AIS. Changes in biomarkers over time (from baseline ≈12 hours after stroke onset) to 48 hours, and changes in biomarkers between treatment groups, functional outcomes, and their interaction were analyzed by two-way analysis of variance.

RESULTS

A total of 125 patients were included (57 in the intensive treatment group and 68 in the standard treatment group). The overall mean age was 66 years; 42% were women. Changes from baseline to 48 hours in coagulation markers were significantly different between treatment groups for TFPCA (P = 0.02) and PAI-1 (P = .04) and FVIIa (P = .04). Increases in FVIIa and decreases in FVIII were associated with favorable functional outcomes (P = .04 and .04, respectively). In the intensive treatment group, reductions in TFPCA and FVIII and increases in FVIIa were greater in patients with favorable than unfavorable outcomes (P = .02, 0.002, 0.03, respectively). In the standard treatment group, changes in FVII were different by functional outcome (P = .006).

CONCLUSIONS

Intensive glucose control induced greater alterations in coagulation biomarkers than standard treatment, and these were associated with a favorable functional outcome at 3 months after AIS.

The Association between Coagulation and Atrial Fibrillation

The existing literature highlights the presence of numerous coagulation factors and markers. Elevated levels of coagulation factors are associated with both existing and newly diagnosed cases of atrial fibrillation (AF). However, this article summarizes the role of coagulation in the pathogenesis of AF, which includes fibrinogen and fibrin, prothrombin, thrombomodulin, soluble urokinase plasminogen activator receptor, von Willebrand factor, P-selectin, D-dimer, plasminogen activator inhibitor-1, and platelet activation. Coagulation irregularities play a significant role in the pathogenesis of AF.

Overview of Inflammatory and Coagulation Markers in Elderly Patients with COVID-19: Retrospective Analysis of Laboratory Results

Background: Elderly patients with COVID-19 often exhibit a complex interplay between hypercoagulability and coagulopathy, key factors in determining the risk of severe complications and mortality. This study aimed to analyze coagulation and inflammatory markers to identify critical predictors of adverse outcomes in this vulnerable population. Material and Methods: The retrospective study was conducted on a sample of 1429 elderly patients (≥60 years) diagnosed with COVID-19, hospitalized in "Sf. Ap. Andrei" St. Apostle Andrew's County Emergency Hospital in various wards between March 2020 and August 2022. Data were collected from medical records and included inflammatory markers (C-reactive protein, procalcitonin, ESR) and coagulation markers (prothrombin time, INR, fibrinogen, D-dimer). The SPSS 2.0 statistical software was used to conduct the study. Results:Coagulation markers: Prothrombin activity averaged 74.22%, below normal levels, indicating a heightened bleeding risk, while fibrinogen levels were significantly elevated (mean: 531.69 mg/dL), reflecting hypercoagulability. Prolonged prothrombin time (mean: 17.28 s) and elevated INR (International normalized ratio) (mean: 1.51) were associated with increased mortality, emphasizing their role in risk stratification. Elevated D-dimer levels (mean: 2.75 mg/L) further highlighted thromboembolic risks. Inflammatory markers: C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) showed marked elevations (mean CRP: 92.09 mg/L, mean ESR: 58.47 mm/h), correlating with heightened systemic inflammation and poor outcomes. Bacterial infections: Elevated procalcitonin (mean: 1.98 ng/mL) suggested secondary bacterial infections, particularly in mechanically ventilated patients, significantly worsening prognosis. Conclusions: The duality of hypercoagulability and coagulopathy in elderly COVID-19 patients underscores the importance of consistently monitoring coagulation markers such as prothrombin time, INR, D-dimer, and fibrinogen. Simultaneously, elevated inflammatory markers and secondary bacterial infections require prompt therapeutic interventions. This study highlights the critical need for personalized management strategies to mitigate complications and reduce mortality in this high-risk population.

A stacked machine learning-based classification model for endometriosis and adenomyosis: a retrospective cohort study utilizing peripheral blood and coagulation markers

Introduction

Endometriosis (EMs) and adenomyosis (AD) are common gynecological diseases that impact women's health, and they share symptoms such as dysmenorrhea, chronic pain, and infertility, which adversely affect women's quality of life. Current diagnostic approaches for EMs and AD involve invasive surgical procedures, and thus, methods of noninvasive differentiation between EMs and AD are needed. This retrospective cohort study introduces a novel, noninvasive classification methodology employing a stacked ensemble machine learning (ML) model that utilizes peripheral blood and coagulation markers to distinguish between EMs and AD.

Methods

The study included a total of 558 patients (329 with EMs and 229 with AD), in whom key hematological and coagulation markers were analyzed to identify distinctive profiles. Feature selection was conducted through ML (logistic regression, support vector machine, and K-nearest neighbors) to determine significant hematological markers.

Results

Red cell distribution width, mean corpuscular hemoglobin concentration, activated partial thromboplastin time, international normalized ratio, and antithrombin III were proved to be the key distinguishing indexes for disease differentiation. Among all the ML classification models developed, the stacked ensemble model demonstrated superior performance (area under the curve = 0.803, 95% credibility interval = 0.701-0.904). Our findings demonstrate the effectiveness of the stacked ensemble ML model for classifying EMs and AD.

Discussion

Integrating biomarkers into this multi-algorithm framework offers a novel approach to noninvasive diagnosis. These results advocate for the application of stacked ensemble ML utilizing cost-effective and readily available peripheral blood and coagulation indicators for the early, rapid, and noninvasive differential diagnosis of EMs and AD, offering a potentially transformative approach for clinical decision-making and personalized treatment strategies.

The Use of Coagulation Markers to Evaluate the Effectiveness of Coronavirus Disease (COVID-19) Therapeutic Protocols

Background

Patients infected by coronavirus disease (COVID-19), caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), display various symptoms and severity of the clinical picture. Thus, the therapy and pathophysiology of this disease are a dilemma for health professionals and scientists.

Objective

This paper aims to evaluate the effectiveness of therapeutic protocols (the use of anticoagulants) in the treatment of COVID-19 patients of various severity of the clinical picture by monitoring coagulation markers (PT, INR, aPTT and D-dimer), as well as the impact of the type and number of comorbidities patients had on these markers.

Methods

A total of 200 patients with a mild (n=76), moderate (n=70) or severe (n=54) clinical picture was included. Coagulation markers [PT (prothrombin time), INR (international normalized ratio), aPTT (activated partial thromboplastin time), D-dimer] were examined on three occasions: twice during hospitalization and once after hospital discharge. Anticoagulants used intrahospital were fraxiparine, rivaroxaban or unfractionated heparin. Posthospital, patients were taking either rivaroxaban or did not use any anticoagulants. For statistical analysis, SPSS 26.0 and Microsoft Excel 2019 were used, with a level of significance of α=0.05. Nonparametric tests (Kruskal-Wallis, Wilcoxon Signed-Rank and Bonferroni) were applied and effect size (ES) was calculated.

Results

Three anticoagulants used intrahospital caused a significant decrease in PT, INR and D-dimer and a significant increase in aPTT, especially in patients with a severe clinical picture, but the ES was the biggest with fraxiparine, then rivaroxaban, and lastly unfractionated heparin. Posthospital, rivaroxaban caused a significant decrease in PT, INR and D-dimer and a significant increase in aPTT, especially in patients with a severe clinical picture. Hypertension was the most common comorbidity in all patients, as well as in patients with a severe clinical picture. There was a statistically significant impact of the number of comorbidities patients had on D-dimer, and none on PT, INR and aPTT, but the highest number of comorbidities was in patients with a severe clinical picture.

Conclusion

The use of anticoagulants, especially fraxiparine intrahospital and rivaroxaban posthospital, is justified in most COVID-19 cases as there is a significant correlation between this disease's pathophysiology and the coagulation process. There is also a positive correlation between the severity of the clinical picture and the number of comorbidities patients have.