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The role of concentration-effect relationships in the assessment of QT(c) interval prolongation

机译:浓度效应关系在QT(c)间隔延长评估中的作用

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Population pharmacokinetic and pharmacokinetic-pharmacodynamic (PKPD) modelling has been widely used in clinical research. Yet, its application in the evaluation of cardiovascular safety remains limited, particularly in the evaluation of pro-arrhythmic effects. Here we discuss the advantages of disadvantages of population PKPD modelling and simulation, a paradigm built around the knowledge of the concentration-effect relationship as the basis for decision making in drug development and its utility as a guide to drug safety. A wide-ranging review of the literature was performed on the experimental protocols currently used to characterize the potential for QT interval prolongation, both pre-clinically and clinically. Focus was given to the role of modelling and simulation for design optimization and subsequent analysis and interpretation of the data, discriminating drug from system specific properties. Cardiovascular safety remains one of the major sources of attrition in drug development with stringent regulatory requirements. However, despite the myriad of tests, data are not integrated systematically to ensure accurate translation of the observed drug effects in clinically relevant conditions. The thorough QT study addresses a critical regulatory question but does not necessarily reflect knowledge of the underlying pharmacology and has limitations in its ability to address fundamental clinical questions. It is also prone to issues of multiplicity. Population approaches offer a paradigm for the evaluation of drug safety built around the knowledge of the concentration-effect relationship. It enables quantitative assessment of the probability of QT(c) interval prolongation in patients, providing better guidance to regulatory labelling and understanding of benefit/risk in specific populations.
机译:群体药代动力学和药代动力学-药效学(PKPD)建模已广泛用于临床研究。然而,其在评估心血管安全性方面的应用仍然有限,特别是在心律失常作用评估中。在这里,我们讨论了人口PKPD建模和模拟的劣势的优势,建立了一种基于浓度效应关系知识的范例,该知识是药物开发决策的基础,并可以作为药物安全性的指南。对临床前和临床上目前用于表征QT间隔延长潜力的实验方案进行了广泛的文献综述。重点讨论了建模和仿真在设计优化以及后续数据分析和解释中的作用,从而将药物与系统特定属性区分开来。心血管安全性仍然是药物开发中损耗的主要来源之一,并具有严格的法规要求。然而,尽管进行了无数的测试,但仍未系统地整合数据以确保在临床相关条件下准确观察到的药物作用。全面的QT研究解决了一个关键的监管问题,但未必反映出有关基础药理学的知识,并且在解决基本临床问题方面的能力也受到限制。它也容易出现多重性问题。人群方法为建立基于浓度效应关系知识的药物安全性评估提供了范例。它可以对患者QT(c)间隔延长的可能性进行定量评估,从而为监管标签和特定人群对收益/风险的了解提供更好的指导。

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