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. 2020 Mar;68(1):21-43.
doi: 10.1007/s10441-019-09372-w. Epub 2019 Dec 18.

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

N Ratto  1 , A Tokarev  2 , P Chelle  3   4 , B Tardy-Poncet  4   5   6 , V Volpert  7   8   2
Affiliations

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

N Ratto et al. Acta Biotheor. 2020 Mar.

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.

Keywords: Hemophilia patients; Mathematical simulation; Model reduction; Thrombin generation test.

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