Blood Coagulation Disorders in Heart Failure: From Basic Science to Clinical Perspectives

The Role of Coagulation in Heart Failure: A Literature Review

PURPOSE OF REVIEW

This article summarizes the role of coagulation factors in the pathophysiology of heart failure including D-dimer, fibrinogen and fibrin, prothrombin, p-selectin, tissue factor, tissue plasminogen activator, von Willebrand factor, β-thromboglobulin, Factor XI, tissue thromboplastin, plasminogen activator inhibitor-1 (PAI-1), thrombomodulin, soluble urokinase-type plasminogen activator receptor (suPAR) and stuart-prower factor.

RECENT FINDINGS

The D-dimer, P-selectin, prothrombin, von Willebrand factor, tissue plasminogen activator, fibrinogen, suPAR, tissue factor, thrombomodulin and Factor XI play significant roles the pathophysiology of heart failure. However, no associations were found between β-thromboglobulin, tissue thromboplastin, PAI-1 and stuart-prower factor in the context of heart failure. Coagulation factors play significant role in the pathophysiology of heart failure. Consequently, the underlying pathophysiological mechanisms that explain changes in the cascade are closely related to the diagnostic, prognostic and therapeutic roles of coagulation cascade factors, which help physicians identify and treat heart failure.

In-Hospital and readmission outcomes of patients with myeloproliferative neoplasms and heart failure: Insights from the National Readmissions Database

Background

Myeloproliferative neoplasms (MPNs) are chronic leukemias associated with increased risk of cardiovascular (CV) events. Prior studies suggest patients with MPN are at increased risk of HF. Additionally, pre-clinical murine models harboring the JAK2 mutation, the most common driver mutation in MPNs, have shown accelerated adverse cardiac remodeling in myocardial infarction and pressure overload HF models. However, clinical outcomes, including in-hospital and readmission outcomes, of patients with MPN admitted for HF have not been well characterized.

Methods

Patients hospitalized for HF with and without MPN were identified using the 2017 and 2018 National Readmission Database. Propensity score matching (PSM) was performed to match 1 MPN with 10 non-MPN controls. Outcomes were in-hospital death, 90-day CV-related, HF-related, and all-cause readmissions. Logistic regression and Cox proportional hazards regression models were used to estimate risk of in-hospital death and 90-day readmission outcomes, respectively.

Results

After PSM, 4,626 patients with MPN were matched with 46,260 without. Patients with MPN were associated with increased risk of in-hospital death (OR 1.17, 95% CI 1.00 - 1.35), 90-day CV-related (HR 1.10, 95% CI 1.02 - 1.18) and all-cause (HR 1.24, 95% CI 1.17 - 1.31) but not HF-related (HR 1.05, 95% CI 0.97 - 1.14) readmissions.

Conclusion

Among patients hospitalized for HF, MPN was associated with increased risk of in-hospital death, and 90-day CV-related readmissions (driven primarily by thrombotic readmissions). Further investigation is needed in order to improve outcomes in patients with MPN and HF.

Tracking the dynamics of thrombus formation in a blood vessel-on-chip with visible-light optical coherence tomography

Thrombus formation is a physiological response to damage in a blood vessel that relies on a complex interplay of platelets, coagulation factors, immune cells, and the vessel wall. The dynamics of thrombus formation are essential for a deeper understanding of many disease processes, like bleeding, wound healing, and thrombosis. However, monitoring thrombus formation is challenging due to the limited imaging options available to analyze flowing blood. In this work, we use a visible-light optical coherence tomography (vis-OCT) system to monitor the dynamic process of the formation of thrombi in a microfluidic blood vessel-on-chip (VoC) device. Inside the VoC, thrombi form in a channel lined with a monolayer of endothelial cells and perfused by human whole blood. We show that the correlation of the vis-OCT signal can be utilized as a marker for thrombus formation. By thresholding the correlation during thrombus formation, we track and quantify the growth of the thrombi over time. We validate our results with fluorescence microscopic imaging of fibrin and platelet markers at the end of the blood perfusion assay. In conclusion, we demonstrate that the correlation of the vis-OCT signal can be used to visualize both the spatial and temporal behavior of the thrombus formation in flowing human whole blood.