Clustering of Thrombin Generation Test Data Using a Reduced Mathematical Model of Blood Coagulation

Area of Science:

• Biochemistry
• Mathematical Modeling
• Hematology

Background:

• Accurate interpretation of laboratory tests like the Thrombin Generation Test (TGT) necessitates biochemistry-based mathematical models of blood coagulation.
• Hemophilia A (HA) and Hemophilia B (HB) are genetic bleeding disorders characterized by deficiencies in specific clotting factors, impacting thrombin generation.

Purpose of the Study:

• To describe experimental TGT data from healthy individuals and patients with HA and HB.
• To derive and apply a simplified ordinary differential equation (ODE) model for analyzing TGT data.

Main Methods:

• Development of a simplified ODE model for blood coagulation.
• Application of the model to analyze TGT data from healthy donors and HA/HB patients.
• In vitro addition of tissue factor pathway inhibitor (TFPI) antibody to HA/HB patient samples.

Main Results:

• The ODE model successfully characterizes hemophilia patients within a parameter space defined by three key variables.
• The model provides a quantitative method for analyzing experimental TGT data.
• The reduced coagulation model was validated against clinical data.

Conclusions:

• The proposed mathematical modeling approach offers a novel quantitative tool for the analysis of experimental TGT data.
• This study presents a validated, reduced coagulation model suitable for future large-scale theoretical modeling of thrombosis in flow.
• The model facilitates the characterization of hemophilia patients based on their TGT profiles.