Buclin Thierry, Gotta Verena, Fuchs Aline, Widmer Nicolas, Aronson Jeffrey
Division of Clinical Pharmacology and Toxicology, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland.
Br J Clin Pharmacol. 2012 Jun;73(6):917-23. doi: 10.1111/j.1365-2125.2012.04237.x.
Drug development has improved over recent decades, with refinements in analytical techniques, population pharmacokinetic-pharmacodynamic (PK-PD) modelling and simulation, and new biomarkers of efficacy and tolerability. Yet this progress has not yielded improvements in individualization of treatment and monitoring, owing to various obstacles: monitoring is complex and demanding, many monitoring procedures have been instituted without critical assessment of the underlying evidence and rationale, controlled clinical trials are sparse, monitoring procedures are poorly validated and both drug manufacturers and regulatory authorities take insufficient account of the importance of monitoring. Drug concentration and effect data should be increasingly collected, analyzed, aggregated and disseminated in forms suitable for prescribers, along with efficient monitoring tools and evidence-based recommendations regarding their best use. PK-PD observations should be collected for both novel and established critical drugs and applied to observational data, in order to establish whether monitoring would be suitable. Methods for aggregating PK-PD data in systematic reviews should be devised. Observational and intervention studies to evaluate monitoring procedures are needed. Miniaturized monitoring tests for delivery at the point of care should be developed and harnessed to closed-loop regulated drug delivery systems. Intelligent devices would enable unprecedented precision in the application of critical treatments, i.e. those with life-saving efficacy, narrow therapeutic margins and high interpatient variability. Pharmaceutical companies, regulatory agencies and academic clinical pharmacologists share the responsibility of leading such developments, in order to ensure that patients obtain the greatest benefit and suffer the least harm from their medicines.
在过去几十年中,药物研发取得了进步,分析技术、群体药代动力学-药效学(PK-PD)建模与模拟以及新的疗效和耐受性生物标志物都有所改进。然而,由于各种障碍,这一进展并未在治疗个体化和监测方面带来改善:监测复杂且要求高,许多监测程序在没有对潜在证据和基本原理进行严格评估的情况下就已设立,对照临床试验稀少,监测程序验证不足,而且药品制造商和监管机构都没有充分考虑监测的重要性。应越来越多地以适合开处方者的形式收集、分析、汇总和传播药物浓度和效应数据,以及有效的监测工具和关于其最佳使用的循证建议。对于新型和已上市的关键药物,都应收集PK-PD观察数据并应用于观察性数据,以确定监测是否合适。应设计在系统评价中汇总PK-PD数据的方法。需要进行观察性和干预性研究以评估监测程序。应开发用于即时护理的小型化监测测试,并将其应用于闭环调节药物输送系统。智能设备将使关键治疗(即具有救命疗效、治疗窗窄且患者间变异性高的治疗)的应用达到前所未有的精准度。制药公司、监管机构和学术临床药理学家共同承担引领此类发展的责任,以确保患者从药物中获得最大益处并遭受最小伤害。