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Physiologically-Based Pharmacokinetic and Pharmacodynamic Modeling of Unfractionated Heparin to Predict Activated Clotting Time

机译:未分割肝素的基于生理学药代动力学和药效学建模预测激活凝血时间

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Monitoring the coagulation time and regulating the administration of unfractionated heparin(UFH)during cardiopulmonary bypass(CPB)are challenging activities.The manuscript focuses on the development of a mathematical model to predict the activated clotting time(ACT)during CPB following an intravenous administration of heparin.The overall mathematical tool features a physiologically-based pharmacokinetic(PBPK)model and a pharmacodynamic(PD)model.The PBPK model describes the human circulatory system and employs correlations from the literature to estimate its physiological parameters from individual characteristics(i.e.age,sex,race,weight,height,serum creatinine,and hematocrit)to yield a prediction of heparin plasma concentration as a function of time.The PD model predicts the ACT as a function of heparin concentration thanks to several differential equations that describe the coagulation cascade.The combined PBPK/PD model produces,for each patient,an individualized prediction of the resulting ACT dynamics,using either a population or an individualized approach.The model can be used to help monitoring the ACT trend during CPB and to optimize heparin administration in order to reach and maintain the therapeutic goal of 480 s.
机译:在心肺旁路(CPB)期间监测凝血时间并调节未分支的肝素(UFH)的施用是挑战性的活动。稿件专注于在静脉内施用后预测CPB期间激活的凝血时间(ACT)的发展。肝素。整体数学工具具有基于生理学的药代动力学(PBPK)模型和药效学(PD)模型。PBPK模型描述了人循环系统,并采用文献中的相关性来估计其生理参数从个体特征(IEAGE,性,种族,体重,高度,血清肌酐和血细胞比容)以使肝素血浆浓度的预测作为时间的函数。由于几种描述凝固级联的微分方程,PD模型预测了作为肝素浓度的函数的作用。PBPK / PD模型的组合为每个患者产生了个性化预测Ulting Act Dynamics,使用人口或个性化方法。模型可用于帮助在CPB期间监测ACT趋势,并优化肝素给药,以达到480秒的治疗目标。

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