Burmeister Getz E, Carroll K J, Mielke J, Benet L Z, Jones B
Oriel Therapeutics, Inc, Berkeley, California, USA.
KJC Statistics, Bramhall, Cheshire, UK.
Clin Pharmacol Ther. 2017 Mar;101(3):331-340. doi: 10.1002/cpt.535. Epub 2016 Nov 26.
We previously demonstrated pharmacokinetic differences among manufacturing batches of a US Food and Drug Administration (FDA)-approved dry powder inhalation product (Advair Diskus 100/50) large enough to establish between-batch bio-inequivalence. Here, we provide independent confirmation of pharmacokinetic bio-inequivalence among Advair Diskus 100/50 batches, and quantify residual and between-batch variance component magnitudes. These variance estimates are used to consider the type I error rate of the FDA's current two-way crossover design recommendation. When between-batch pharmacokinetic variability is substantial, the conventional two-way crossover design cannot accomplish the objectives of FDA's statistical bioequivalence test (i.e., cannot accurately estimate the test/reference ratio and associated confidence interval). The two-way crossover, which ignores between-batch pharmacokinetic variability, yields an artificially narrow confidence interval on the product comparison. The unavoidable consequence is type I error rate inflation, to ∼25%, when between-batch pharmacokinetic variability is nonzero. This risk of a false bioequivalence conclusion is substantially higher than asserted by regulators as acceptable consumer risk (5%).
我们之前证明了美国食品药品监督管理局(FDA)批准的一种干粉吸入产品(舒利迭100/50)不同生产批次之间存在药代动力学差异,其差异大到足以确定批次间生物不等效。在此,我们对舒利迭100/50各批次之间的药代动力学生物不等效性提供了独立验证,并对残留方差分量和批次间方差分量大小进行了量化。这些方差估计值用于考量FDA当前双向交叉设计建议的I型错误率。当批次间药代动力学变异性很大时,传统的双向交叉设计无法实现FDA统计生物等效性试验的目标(即无法准确估计试验品/参比品比率及相关置信区间)。忽略批次间药代动力学变异性的双向交叉设计,会在产品比较时得出人为变窄的置信区间。不可避免的结果是,当批次间药代动力学变异性不为零时,I型错误率会膨胀至约25%。得出错误生物等效性结论的这种风险,远高于监管机构所宣称的可接受消费者风险水平(5%)。