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Between‐Batch Pharmacokinetic Variability Inflates Type I Error Rate in Conventional Bioequivalence Trials: A Randomized Advair Diskus Clinical Trial
Author(s) -
Burmeister Getz E,
Carroll KJ,
Mielke J,
Benet LZ,
Jones B
Publication year - 2017
Publication title -
clinical pharmacology and therapeutics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.941
H-Index - 188
eISSN - 1532-6535
pISSN - 0009-9236
DOI - 10.1002/cpt.535
Subject(s) - bioequivalence , confidence interval , crossover study , pharmacokinetics , statistics , type i and type ii errors , medicine , food and drug administration , crossover , mathematics , econometrics , pharmacology , computer science , alternative medicine , pathology , placebo , artificial intelligence
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%).