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Impact of Population Pharmacokinetic- Pharmacodynamic Analyses on the Drug Development ProcessExperience at Parke-Davis

 

作者: Stephen C. Olson,   Howard Bockbrader,   Rebecca A. Boyd,   Jack Cook,   Jeffrey R. Koup,   Richard L. Lalonde,   Paul H. Siedlik,   J. Robert Powell,  

 

期刊: Clinical Pharmacokinetics  (ADIS Available online 2000)
卷期: Volume 38, issue 5  

页码: 449-459

 

ISSN:0312-5963

 

年代: 2000

 

出版商: ADIS

 

关键词: Atorvastatin, pharmacokinetics;Cefdinir, pharmacokinetics;Clinafloxacin, pharmacokinetics;Fosphenytoin, pharmacokinetics;Gabapentin, pharmacokinetics;Milameline, pharmacokinetics;Pharmacokinetic pharmacodynamic relationships;Population pharmacokinetics;Re

 

数据来源: ADIS

 

摘要:

BackgroundContinued scepticism about the benefits of population pharmacokinetics and/or population pharmacodynamics, here referred to collectively as the population approach, hampers its widespread application in drug development. At the same time the sources of this scepticism have not been clearly defined. In an attempt to capture and clearly define these concerns and to help communicate the value of the population approach in drug development at Parke-Davis we conducted a survey of customers within the company. The results of this survey are presented here.MethodsAll drug development programmes conducted over the past 10 years that included a population approach in data analysis and interpretation were identified. A brief description of the population analysis was prepared together with a brief description of how the resulting information was used in each drug development programme. These synopses were forwarded to relevant members of each drug development team together with a survey designed to solicit opinions as to the relevance and impact of these analyses.ResultsThe most frequent use of information derived from population-based analysis was in labelling. In all cases of drugs making to New Drug Application (NDA) submission the analyses resulted in information that was included in approved or proposed labelling. In almost half of the cases summarised here (5 of 12), population-based analysis was perceived to have resulted in information that influenced the direction of individual development programmes. In many of these cases the information was serendipitous. It is also noted that most of these analyses were not the result of clearly defined objectives and prospective analysis plans.ConclusionsUse of the population approach, even when applied retrospectively, may have value in complementing or supporting interpretation of other data collected during the course of a trial. Atypical systemic exposure is quickly and easily assessed for correlation with adverse events or exceptional efficacy in retrospective orad hocevaluation. Although we know of no direct evidence, it is possible that such use of population pharmacokinetic data has facilitated NDA review and approval by providing insight into the role of atypical systemic drug exposure in otherwise spurious events.

 

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