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Kinetic Modeling of Coagulation and Fibrinolysis

机译:凝血和纤维蛋白溶解的动力学建模

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Thromboelastic testing provides an assessment of a patient’s coagulation and fibrinolytic systems. In recent years, thromboelastic testing has become an important point of care technique. However, its direct connection with the underlying biochemistry of coagulation and clot formation is not obvious. Toward this issue, we describe a validated reduced order mathematical model of coagulation and fibrinolysis, consisting of 22 ordinary differential equations, which described clot formation from initiation of the coagulation cascade through the degradation of polymerized fibrin by plasmin. We trained the model via leave one out cross validation on ROTEM measurements, a common thromboelastic test, on four patients, and then predicted ROTEM trajectories on four unseen patients, in whole blood and whole blood with the addition of 2 nM tissue plasminogen activator. Following model validation, sensitivity analysis suggested which biochemical interactions and species controlled the system response. Lastly, we investigated if we could estimate protein concentrations from commonly reported thromboelastic metrics. These estimation studies suggested we could (on average) relearn the initial fibrinogen concentration to within 20% of its true value. Taken together, this work presents a model which connects the underlying biochemistry of coagulation and clot formation in patients to a common point of care thrombelastographic test.
机译:血栓性检测提供了对患者的凝血和纤维蛋白溶解系统的评估。近年来,血栓弹力测试已成为护理技术的重要点。然而,它与凝血和凝块形成的潜在生物化学的直接连接并不明显。对于这个问题,我们描述了由22个常微分方程组成的凝血和纤维蛋白溶解的经过验证的减少阶数学模型,该常规方程由凝血纤维蛋白的凝结级联引发凝结级联的凝结形成。我们通过留出了一个OUT交叉验证,在SOTEM测量上留出了一个交叉验证,四个患者进行了常见的血栓性测试,然后在整个血液和全血中预测了四个看不见的患者的轮廓轨迹,并加入了2nM组织纤溶酶原激活剂。在模型验证之后,敏感性分析表明哪些生物化学相互作用和物种控制了系统响应。最后,我们调查了我们可以从常见的血栓间度量中估算蛋白质浓度。这些估算研究表明,我们可以(平均)将初始纤维蛋白原浓度(平均)重新切入其真实值的20%以内。在一起,这项工作提出了一种模型,该模型将患者凝血和凝块形成的潜在生物化学和凝块形成的常见的护理血栓测试试验。

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