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本文引用的文献

1
Modeling and simulation as a tool to bridge efficacy and safety data in special populations.模型与模拟作为连接特殊人群疗效和安全性数据的工具。
CPT Pharmacometrics Syst Pharmacol. 2013 Feb 27;2(2):e28. doi: 10.1038/psp.2013.6.
2
Are women more susceptible than men to drug-induced QT prolongation? Concentration-QTc modelling in a phase 1 study with oral rac-sotalol.女性比男性更容易出现药物诱导的QT间期延长吗?一项口服消旋索他洛尔的1期研究中的浓度-QTc建模。
Br J Clin Pharmacol. 2014 Mar;77(3):522-31. doi: 10.1111/bcp.12201.
3
The joint modeling of drug and positive control effects to estimate sample size and power in crossover "thorough" QT/QTc studies.
J Biopharm Stat. 2013;23(4):871-80. doi: 10.1080/10543406.2013.789890.
4
Not-in-trial simulation I: Bridging cardiovascular risk from clinical trials to real-life conditions.未入组模拟研究 I:将临床试验中的心血管风险转移至真实生活环境。
Br J Clin Pharmacol. 2013 Dec;76(6):964-72. doi: 10.1111/bcp.12151.
5
Effect of assay measurement error on parameter estimation in concentration-QTc interval modeling.测定测量误差对浓度-QTc间期建模中参数估计的影响。
Pharm Stat. 2013 May-Jun;12(3):156-64. doi: 10.1002/pst.1567. Epub 2013 Apr 19.
6
Translational pharmacokinetic-pharmacodynamic modeling of QTc effects in dog and human.犬和人QTc效应的转化药代动力学-药效学建模
J Pharmacol Toxicol Methods. 2013 Nov-Dec;68(3):357-66. doi: 10.1016/j.vascn.2013.03.007. Epub 2013 Apr 6.
7
Identifying the translational gap in the evaluation of drug-induced QTc interval prolongation.识别药物诱导的QTc间期延长评估中的转化差距。
Br J Clin Pharmacol. 2013 Nov;76(5):708-24. doi: 10.1111/bcp.12082.
8
Bayesian approach to assay sensitivity analysis of thorough QT trials.
J Biopharm Stat. 2013;23(1):73-81. doi: 10.1080/10543406.2013.735764.
9
Losmapimod concentration-QT relationship in healthy volunteers: meta-analysis of data from six clinical trials.健康志愿者中洛司帕米莫浓度与 QT 关系的荟萃分析:来自六项临床试验的数据。
Eur J Clin Pharmacol. 2013 Jun;69(6):1261-7. doi: 10.1007/s00228-012-1469-1. Epub 2013 Jan 17.
10
Prevalence and risk factors of prolonged QTc interval among Chinese patients with type 2 diabetes.中国2型糖尿病患者QTc间期延长的患病率及危险因素
Exp Diabetes Res. 2012;2012:234084. doi: 10.1155/2012/234084. Epub 2012 Dec 25.

浓度-效应关系在QTc间期延长评估中的作用。

The role of concentration-effect relationships in the assessment of QTc interval prolongation.

作者信息

France Nicholas P, Della Pasqua Oscar

机构信息

Medicines Discovery and Development, GlaxoSmithKline, Uxbridge, UK.

出版信息

Br J Clin Pharmacol. 2015 Jan;79(1):117-31. doi: 10.1111/bcp.12443.

DOI:10.1111/bcp.12443
PMID:24938719
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4294082/
Abstract

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 QTc interval prolongation in patients, providing better guidance to regulatory labelling and understanding of benefit/risk in specific populations.

摘要

群体药代动力学和药代动力学-药效学(PKPD)建模已在临床研究中广泛应用。然而,其在心血管安全性评估中的应用仍然有限,尤其是在评估致心律失常作用方面。在此,我们讨论群体PKPD建模与模拟的优缺点,这是一种围绕浓度-效应关系知识构建的范式,作为药物研发决策的基础及其作为药物安全性指南的效用。我们对目前用于在临床前和临床表征QT间期延长可能性的实验方案进行了广泛的文献综述。重点关注建模与模拟在设计优化以及后续数据分析与解释中的作用,区分药物与系统特异性属性。心血管安全性仍然是药物研发中主要的淘汰原因之一,监管要求严格。然而,尽管有大量测试,但数据并未系统整合以确保在临床相关情况下准确转化观察到的药物效应。全面的QT研究解决了一个关键的监管问题,但不一定反映潜在药理学知识,并且在解决基本临床问题的能力方面存在局限性。它也容易出现多重性问题。群体方法提供了一种围绕浓度-效应关系知识构建的药物安全性评估范式。它能够定量评估患者QTc间期延长的概率,为监管标签提供更好的指导,并有助于理解特定人群的获益/风险。