Clinical Pharmacology & Therapeutics · 2021 · 11 citations · 10 references
PharmacyPharmacokineticsPharmacologyBioequivalenceClinical PharmacologyPharmacokinetic VariabilityBioequivalence Acceptance CriteriaBioequivalence AssessmentBioequivalence RequirementsInterindividual VariabilityNarrow Therapeutic Index DrugsStatistical Analysis Of BioequivalenceArea Under The Plasma Concentration-time CurveHighly Variable Drug BioequivalenceHighly Variable DrugsHighly Variable Reference ProductsNarrow Therapeutic Index Drug BioequivalenceNarrow Therapeutic Index Drug CriteriaRegulatory Bioequivalence CriteriaTherapeutic Index Narrow Drugs
The current regulatory criterion for bioequivalence of narrow therapeutic index (NTI) drugs in the European Union requires that the 90% confidence interval for the ratio of the population geometric means of the test product compared with the reference for area under the plasma concentration‐time curve (AUC), and in certain cases maximum plasma drug concentration (C max ), to be included within the tighter acceptance range of 90.00–111.11%. As a consequence, sponsors need to recruit a higher number of subjects to demonstrate bioequivalence and this may be seen as increasing the burden for the development of generics. This “one‐size‐fits‐all” criterion is particularly questionable when the within‐subject variability of the reference product is moderate to high. As an alternative, we propose a further refined statistical approach where the acceptance range is narrowed based on the within‐subject variability of the reference product of the NTI drug, similar to the one used for widening the standard 80.00–125.00% acceptance range for highly variable drugs. The 80.00–125.00% acceptance range is narrowed, only if the within‐subject variability is lower than 30%, down to the current NTI acceptance range of 90.00–111.11% when the within‐subject variability is 13.93% or lower. Examples within the current European Medicines Agency list of NTI drugs show a considerable reduction in required sample size for drugs like tacrolimus and colchicine, where the predicted within‐subject variability is 20–30%. In these cases, this approach is less sample size demanding without any expected increase in the therapeutic risks, since patients treated with reference products with moderate to high within‐subject variability are frequently exposed to bioavailability differences larger than 10%.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Novel bioequivalence approach for narrow therapeutic index drugs
LX Yu, Wenlei Jiang, Xinyuan Zhang et al. · Clinical Pharmacology & Therapeutics · 2014 · 91 citations · Full text