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Clustering of Thrombin Generation Test Data Using a Reduced Mathematical Model of Blood Coagulation
Acta Biotheoretica ( IF 1.3 ) Pub Date : 2019-12-18 , DOI: 10.1007/s10441-019-09372-w
N Ratto 1 , A Tokarev 2 , P Chelle 3, 4 , B Tardy-Poncet 4, 5, 6 , V Volpert 1, 2, 7
Affiliation  

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.

中文翻译:

使用简化的血液凝固数学模型对凝血酶生成测试数据进行聚类

完整的实验室测试数据的正确解释,包括凝血酶生成测试 (TGT),需要基于生物化学的血液凝固数学模型。本研究的目的是描述来自健康供体和血友病 A (HA) 和 B (HB) 患者的实验 TGT 数据。我们推导出一个简化的 ODE 模型并将其应用于分析来自健康供体和体外添加组织因子通路抑制剂 (TFPI) 抗体的 HA/HB 患者的 TGT 数据。该模型允许在三个最重要的模型参数空间中表征血友病患者。所提出的方法可能为实验性 TGT 的分析提供一种新的定量工具。此外,它还提供了一个简化的凝血模型,该模型根据临床数据进行了验证,以用于未来血流中血栓形成的理论大规模建模。
更新日期:2019-12-18
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