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1.
AAPS PharmSciTech ; 22(7): 225, 2021 Aug 19.
Article in English | MEDLINE | ID: mdl-34410557

ABSTRACT

Batch-to-batch pharmacokinetic (PK) variability of orally inhaled drug products has been documented and can render single-batch PK bioequivalence (BE) studies unreliable; results from one batch may not be consistent with a repeated study using a different batch, yet the goal of PK BE is to deliver a product comparison that is interpretable beyond the specific batches used in the study. We characterized four multiple-batch PK BE approaches to improve outcome reliability without increasing the number of clinical study participants. Three approaches include multiple batches directly in the PK BE study with batch identity either excluded from the statistical model ("Superbatch") or included as a fixed or random effect ("Fixed Batch Effect," "Random Batch Effect"). A fourth approach uses a bio-predictive in vitro test to screen candidate batches, bringing the median batch of each product into the PK BE study ("Targeted Batch"). Three of these approaches (Fixed Batch Effect, Superbatch, Targeted Batch) continue the single-batch PK BE convention in which uncertainty in the Test/Reference ratio estimate due to batch sampling is omitted from the Test/Reference confidence interval. All three of these approaches provided higher power to correctly identify true bioequivalence than the standard single-batch approach with no increase in clinical burden. False equivalence (type I) error was inflated above the expected 5% level, but multiple batches controlled type I error better than a single batch. The Random Batch Effect approach restored 5% type I error, but had low power for small (e.g., <8) batch sample sizes using standard [0.8000, 1.2500] bioequivalence limits.


Subject(s)
Models, Statistical , Pharmaceutical Preparations , Therapeutic Equivalency , Humans , Reproducibility of Results
2.
AAPS PharmSciTech ; 20(7): 296, 2019 Aug 23.
Article in English | MEDLINE | ID: mdl-31444601

ABSTRACT

This article extends previous work studying performance characteristics of the population bioequivalence (PBE) statistical test recommended by the US Food and Drug Administration (FDA) for orally inhaled and nasal drug products. Based on analysis of a metered dose inhaler database for impactor sized mass, a simulation study was designed to compare performance of the recommended PBE approach with several modified or alternative approaches. These included an extended PBE that separately modeled within-batch (can) and between-batch (batch) variability and average bioequivalence (ABE) tests that modeled with or without between-batch variability and with or without log-transformation. This work showed that separately modeling within- and between-batch variability while increasing the number of sampled batches addressed previously identified issues of the PBE approach when between-batch variability was present, namely, (a) increased risk for falsely concluding equivalence and (b) low probability of correctly concluding equivalence. The same modifications were also required of the ABE to achieve expected performance. However, these modifications did not successfully address the issue of equivalence conclusions that depended on the direction of product mean differences (asymmetric performance). This work highlights the importance of understanding decision-making error rates in developing regulatory recommendations to standardize bioequivalence outcomes across products.


Subject(s)
Metered Dose Inhalers/statistics & numerical data , Pharmaceutical Preparations/administration & dosage , Therapeutic Equivalency , United States Food and Drug Administration/statistics & numerical data , Administration, Inhalation , Databases, Factual/statistics & numerical data , Humans , Nebulizers and Vaporizers/statistics & numerical data , United States
3.
AAPS PharmSciTech ; 19(3): 1410-1425, 2018 Apr.
Article in English | MEDLINE | ID: mdl-29435904

ABSTRACT

This article reports performance characteristics of the population bioequivalence (PBE) statistical test recommended by the US Food and Drug Administration (FDA) for orally inhaled products. A PBE Working Group of the International Pharmaceutical Aerosol Consortium on Regulation and Science (IPAC-RS) assembled and considered a database comprising delivered dose measurements from 856 individual batches across 20 metered dose inhaler products submitted by industry. A review of the industry dataset identified variability between batches and a systematic lifestage effect that was not included in the FDA-prescribed model for PBE. A simulation study was designed to understand PBE performance when factors identified in the industry database were present. Neglecting between-batch variability in the PBE model inflated errors in the equivalence conclusion: (i) The probability of incorrectly concluding equivalence (type I error) often exceeded 15% for non-zero between-batch variability, and (ii) the probability of incorrectly rejecting equivalence (type II error) for identical products approached 20% when product and between-batch variabilities were high. Neglecting a systematic through-life increase in the PBE model did not substantially impact PBE performance for the magnitude of lifestage effect considered. Extreme values were present in 80% of the industry products considered, with low-dose extremes having a larger impact on equivalence conclusions. The dataset did not support the need for log-transformation prior to analysis, as requested by FDA. Log-transformation resulted in equivalence conclusions that depended on the direction of product mean differences. These results highlight a need for further refinement of in vitro equivalence methodology.


Subject(s)
Metered Dose Inhalers , Models, Statistical , Databases, Factual , Therapeutic Equivalency , United States , United States Food and Drug Administration
4.
Eur J Pharm Sci ; 31(2): 102-11, 2007 Jun.
Article in English | MEDLINE | ID: mdl-17387005

ABSTRACT

A DOTA-gastrin analogue (APH070) which, when labelled with (111)In, has high affinity for the gastrin/CCK-2 receptor (3nM) and low tumour to kidney ratio in animal models, has been formulated and manufactured for a clinical study. Oxidation of the peptide methionine residue greatly reduces receptor affinity, therefore development work focused on producing a stable intermediate drug product (iDP) whilst ensuring that the formulation, container, closure and manufacturing process did not inhibit the extremely sensitive radiolabelling reaction (itself a source of oxidation). Stress testing revealed that APH070 was stable at 2-8 degrees C at pH 6-9. Addition of an antioxidant (monothioglycerol) to the peptide formulation reduced stability when compared to buffer alone. Use of FluroTec (4023/50) stoppers (rather than FluroTec Plus (4110/40)) increased both the stability and radiolabelling efficiency of APH070. Long term stability (6 months) of the final formulation (1mg/ml APH070 in 0.01 M pH 7.2 phosphate buffer) stored at 5 degrees C in type I glass vials with FluroTec (4023/50) stoppers was 98.6+/-0.2% and 98.4+/-0.1% for upright and inverted samples, respectively. Clinical scale radiolabelling of the final formulation routinely achieves the specification of >85% (111)In-APH070 (unoxidised) stable for up to 2h after dilution with 0.9% w/v saline solution. Specific uptake of the radiopharmaceutical in CCK-2R-expressing AR42J tumours in nude mice has been demonstrated.


Subject(s)
Drug Packaging , Gastrins/chemical synthesis , Indium Radioisotopes , Isotope Labeling , Oligopeptides/chemical synthesis , Radiopharmaceuticals/chemical synthesis , Receptor, Cholecystokinin B/metabolism , Technology, Pharmaceutical/methods , Animals , Cell Line, Tumor , Chemistry, Pharmaceutical , Chromatography, High Pressure Liquid , Drug Stability , Drug Storage , Gastrins/metabolism , Hydrogen-Ion Concentration , Male , Methionine/chemistry , Mice , Mice, Nude , Neoplasms, Experimental/metabolism , Oligopeptides/metabolism , Oxidation-Reduction , Radiopharmaceuticals/metabolism , Reproducibility of Results , Solubility , Solutions , Temperature , Time Factors
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