From principle to practice: bridging the gap in patient profiling

Area of Science:

• Hematology
• Biomedical Engineering
• Computational Biology

Background:

• Standard coagulation assays (aPTT, PT) lack predictive power for thrombotic or bleeding risks.
• Thrombin generation assays (TGA) are accepted global hemostasis tests but generate complex data.
• Existing methods present thrombin parameters individually, hindering comprehensive analysis of changes over time.

Purpose of the Study:

• To develop a novel visualization method for comprehensive analysis of thrombin generation data over time.
• To enable simultaneous visualization and animation of four key thrombin parameters.
• To intrinsically rank individuals based on their hemostatic status using all thrombin parameters.

Main Methods:

• Developed a visualization technique to display four thrombin parameters (lag time, max rate, peak, total) simultaneously.
• Enabled animation of the visualization to track changes in thrombin generation over time.
• Applied the method to data from TGA and computational models (CM) simulating warfarin therapy, hemophilia A prophylaxis, and pregnancy.

Main Results:

• The new method successfully visualizes and animates comprehensive thrombin generation data.
• Demonstrated the method's utility in evaluating the impact of warfarin, factor VIII prophylaxis, and pregnancy on thrombin generation.
• The visualization allows for intrinsic ranking of individuals based on their hemostatic profiles.

Conclusions:

• The developed method provides a powerful tool for visualizing individualized thrombin generation profiles over time.
• This approach is crucial for assessing thrombotic and bleeding risks in normal physiological states and during therapeutic interventions.
• The visualization method supports the advancement of personalized medicine strategies in clinical practice.