UMR 5208 CNRS, Institute Camille Jordan, Ecole Centrale de Lyon, Ecully, France.
University of Texas at Austin, Austin, TX, 78712, USA.
Bull Math Biol. 2021 Mar 27;83(5):50. doi: 10.1007/s11538-021-00890-8.
Blood coagulation represents one of the most studied processes in biomedical modelling. However, clinical applications of this modelling remain limited because of the complexity of this process and because of large inter-patient variation of the concentrations of blood factors, kinetic constants and physiological conditions. Determination of some of these patients-specific parameters is experimentally possible, but it would be related to excessive time and material costs impossible in clinical practice. We propose in this work a methodological approach to patient-specific modelling of blood coagulation. It begins with conventional thrombin generation tests allowing the determination of parameters of a reduced kinetic model. Next, this model is used to study spatial distributions of blood factors and blood coagulation in flow, and to evaluate the results of medical treatment of blood coagulation disorders.
血液凝固是生物医学建模中研究最多的过程之一。然而,由于该过程的复杂性以及血液因子浓度、动力学常数和生理条件在患者间存在较大差异,该模型在临床中的应用仍然有限。虽然一些特定于患者的参数可以通过实验确定,但这将涉及过多的时间和材料成本,在临床实践中是不可行的。在这项工作中,我们提出了一种血液凝固的患者特异性建模方法。它首先从常规凝血酶生成试验开始,该试验允许确定简化动力学模型的参数。接下来,该模型用于研究血流中血液因子和血液凝固的空间分布,并评估血液凝固障碍的治疗效果。