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Updated: Jan 1, 2026

Leveraging Turbidity and Thromboelastography for Complementary Clot Characterization
Published on: June 4, 2020
Clustering of Thrombin Generation Test Data Using a Reduced Mathematical Model of Blood Coagulation
N Ratto1, A Tokarev2, P Chelle3,4
1Institute Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622, Villeurbanne, France. nicolas.ratto@ec-lyon.fr.
Abstract:
Correct interpretation of the data from integral laboratory tests, including Thrombin Generation Test (TGT), requires biochemistry-based mathematical models of blood coagulation. The purpose of this study is to describe the experimental TGT data from healthy donors and hemophilia A (HA) and B (HB) patients. We derive a simplified ODE model and apply it to analyze the TGT data from healthy donors and HA/HB patients with in vitro added tissue factor pathway inhibitor (TFPI) antibody. This model allows the characterization of hemophilia patients in the space of three most important model parameters. The proposed approach may provide a new quantitative tool for the analysis of experimental TGT. Also, it gives a reduced model of coagulation verified against clinical data to be used in future theoretical large-scale modeling of thrombosis in flow.
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