Institute for Clinical Pharmacodynamics, Ordway Research Institute, Albany, New York 12110, USA.
Clin Infect Dis. 2010 Aug 1;51 Suppl 1:S103-10. doi: 10.1086/653057.
Our thesis is a simple one: although a drug can fail in an individual patient for many reasons, appropriately sized and conducted drug-development programs often fail because of insensitive, uninformative end points, and/or poor a priori regimen decisions. The difficulty in successfully developing antimicrobial agents at present is often exacerbated by company decision-makers who are either uninformed or disregard the difference between empirical-based (ie, akin to playing pin-the-tail on the donkey) and quantitative model-based development plans. Frequently, the focus is on Gantt charts (project event schedules) and the on-time submission of a New Drug Application to a regulatory body, such as the US Food and Drug Administration. Such misplaced focus has led and will continue to lead to a number of problems, including program failure or, even worse, regulatory approval of an inappropriate dosing regimen with associated negative safety and efficacy sequelae. We believe that the goal of drug development is not a New Drug Application submitted on time but, rather, an approved, differentiated, safe, and effective new medicine. Here, we focus on the pharmacokinetic-pharmacodynamic data needed to guide dosing regimen decisions for patients with hospital-acquired bacterial pneumonia or ventilator-associated bacterial pneumonia. Early consideration of these data in development programs will reduce risk not only to sponsors but also, most importantly, to the patients enrolled in the clinical trials.
尽管药物在个别患者中失败可能有多种原因,但适当规模和进行的药物开发计划常常由于不敏感、无信息的终点以及/或较差的先验方案决策而失败。目前成功开发抗菌药物的困难常常因公司决策者的无知或无视基于经验(即类似于盲目猜测)和基于定量模型的开发计划之间的区别而加剧。通常,重点放在甘特图(项目事件时间表)和按时向监管机构(如美国食品和药物管理局)提交新药申请上。这种错误的重点导致并将继续导致许多问题,包括计划失败,甚至更糟糕的是,监管机构批准不适当的剂量方案,从而带来负面的安全性和疗效后果。我们认为,药物开发的目标不是按时提交新药申请,而是批准一种差异化、安全且有效的新药。在这里,我们重点关注指导医院获得性细菌性肺炎或呼吸机相关性细菌性肺炎患者剂量方案决策所需的药代动力学-药效学数据。在开发计划中尽早考虑这些数据不仅可以降低赞助商的风险,而且最重要的是可以降低临床试验中入组患者的风险。