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Evaluation of designs for renal drug studies based on the European Medicines Agency and Food and Drug Administration guidelines for drugs that are predominantly secreted

机译:基于欧洲药物局的肾脏药物研究设计评价主要分泌的药物和食品和药物管理指南

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Aims Dose adjustment for drugs eliminated by the kidneys generally assume a linear relationship between renal drug clearance (CLR) and glomerular filtration rate (GFR). This assumption may not hold for drugs that undergo extensive tubular secretion where nonlinearity in drug handling is expected. The aim of this study is to determine if renal drug study designs recommended by the European Medicines Agency (EMA) and Food and Drug Administration (FDA) could distinguish linear from nonlinear renal drug handling. Methods In this simulation and estimation study, the study designs based on the EMA and FDA guidelines for Phase I renal drug studies were evaluated for their ability to discriminate a linear from a nonlinear relationship betweenCL(R)andGFR. The number of subjects for each simulated study ranged from 4 to 960. Power, relative standard error and bias were calculated. Results Study designs under the EMA and FDA guidelines required >= 8 and >= 48 subjects, respectively, to achieve >= 80% power to discriminate a linear from nonlinear relationship betweenCL(R)andGFR. The relative standard error of estimated parameters were 13-37 and 17-44% for the designs with 24 subjects under the EMA and FDA guidelines, respectively. The bias in parameter estimates under the EMA designs were not evident, however, they were biased (13-21%) under the FDA designs. Conclusion The EMA design was found to require fewer subjects (n= 8) compared to the FDA (n= 48) to discriminate linear from nonlinear drug renal handling at >= 80% study power while both the designs perform poorly for the parameter precision.
机译:目的肾脏清除药物的剂量调整通常假定肾脏药物清除率(CLR)和肾小球滤过率(GFR)之间存在线性关系。这一假设可能不适用于经历广泛小管分泌的药物,因为预期药物处理过程中会出现非线性。本研究的目的是确定欧洲药品管理局(EMA)和食品和药物管理局(FDA)推荐的肾脏药物研究设计是否能够区分线性和非线性肾脏药物处理。方法在这项模拟和评估研究中,评估了基于EMA和FDA一期肾脏药物研究指南的研究设计,以区分NCL(R)和GFR之间的线性和非线性关系。每个模拟研究的受试者人数从4人到960人不等。计算功率、相对标准误差和偏差。结果根据EMA和FDA指南进行的研究设计分别要求>=8和>=48名受试者达到>=80%的能力,以区分NCL(R)和GFR之间的线性和非线性关系。根据EMA和FDA指南,24名受试者设计的估计参数的相对标准误差分别为13-37%和17-44%。EMA设计下的参数估计偏差不明显,但FDA设计下的参数估计偏差(13-21%)。结论与FDA(n=48)相比,EMA设计需要更少的受试者(n=8)在>=80%的研究功率下区分线性和非线性药物肾处理,而两种设计在参数精度方面表现不佳。

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