Stefan Leiner

A Two One-Sided Parametric Tolerance Interval Test for Control of Delivered Dose Uniformity. Part 1—Characterization of FDA Proposed Test

The FDA proposed a parametric tolerance interval (PTI) test at the October 2005 Advisory Committee meeting as a replacement of the attribute (counting) test for delivered dose uniformity (DDU), published in the 1998 draft guidance for metered dose inhalers (MDIs) and dry powder inhalers (DPIs) and the 2002 final guidance for inhalation sprays and intranasal products. This article (first in a series of three) focuses on the test named by the FDA “87.5% coverage.” Unlike a typical two-sided PTI test, which controls the proportion of the DDU distribution within a target interval (coverage), this test is comprised of two one-sided tests (TOST) designed to control the maximum amount of DDU values in either tail of the distribution above and below the target interval. Through simulations, this article characterizes the properties and performance of the proposed PTI-TOST under different scenarios. The results show that coverages of 99% or greater are needed for a batch to have acceptance probability 98% or greater with the test named by the FDA “87.5% coverage” (95% confidence level), while batches with 87.5% coverage have less than 1% probability of being accepted. The results also illustrate that with this PTI-TOST, the coverage requirement for a given acceptance probability increases as the batch mean deviates from target. The accompanying articles study the effects of changing test parameters and the test robustness to deviations from normality.

Inhalation Devices and Patient Interface: Human Factors

The development of any inhalation product that does not consider the patient needs will fail. The needs of the patients must be identified and aligned with engineering options and physical laws to achieve a robust and intuitive-to-use inhaler. A close interaction between development disciplines and real-use evaluations in clinical studies or in human factor studies is suggested. The same holds true when a marketed product needs to be changed. Caution is warranted if an inhaler change leads to a change in the way the patient handles the device. Finally, the article points out potential problems if many inhaler designs are available. Do they confuse the patients? Can patients recall the correct handling of each inhaler they use? How large is the risk that different inhaler designs pose to the public health? The presentations were given at the Orlando Inhalation Conference: Approaches in International Regulation co-organised by the University of Florida and the International Pharmaceutical Aerosol Consortium on Regulation & Science (IPAC-RS) in March 2014.

A Two One-Sided Parametric Tolerance Interval Test for Control of Delivered Dose Uniformity—Part 2—Effect of Changing Parameters

This article examines the effects of changing parameters in the test which was proposed by the FDA at the October 2005 Advisory Committee meeting for confirming delivered dose uniformity in orally inhaled and nasal drug products. This article is an extension of the characterization study presented in an accompanying article (Part 1). The goal of this study is to understand how parameters of the test affect the test performance. The effects of changing test parameters such as target interval, maximum allowable proportion in the tail area, and sample size are examined. The results show that changing the maximum allowable tail area and/or the target interval have the largest impact on the test outcomes, i.e., probability of acceptance for a given batch mean and standard deviation. The presented information may provide potential users of the test with a set of tools for optimizing the test characteristics for a particular product.

A Two One-Sided Parametric Tolerance Interval Test for Control of Delivered Dose Uniformity—Part 3—Investigation of Robustness to Deviations from Normality

The robustness of the parametric tolerance interval test, which was proposed by the Food and Drug Administration for control of delivered dose uniformity in orally inhaled and nasal drug products, is investigated in this article using different scenarios for deviations from a univariate normal distribution. The studied scenarios span a wide range of conditions, the purpose of which is to provide an understanding of how the test performs depending on the nature and degree of the deviation from normality. Operating characteristic curves were generated to compare the performance of the test for different types of distributions (normal and non-normal) having the same proportion of doses in the tails (on one or both sides) outside the target interval. The results show that, in most cases, non-normality does not increase the probability of accepting a batch of unacceptable quality (i.e., the test is robust) except in extreme situations, which do not necessarily represent commercially viable products. The results also demonstrate that, in the case of bimodal distributions where the life-stage means differ from each other by up to 24% label claim, the test’s criterion on life-stage means does not affect pass rates because the tolerance interval portion of the test reacts to shifting means as well.

Challenges and Opportunities in Implementing the FDA Default Parametric Tolerance Interval Two One-Sided Test for Delivered Dose Uniformity of Orally Inhaled Products

The goal of this article is to discuss considerations regarding implementation of the parametric tolerance interval two one-sided test (PTI-TOST) for delivered dose uniformity (DDU) of orally inhaled products (OIPs). That test was proposed by FDA in 2005 as an alternative to the counting test described in the 1998 draft FDA guidance for metered dose inhalers and dry powder inhalers. The 2005 PTI-TOST, however, still has not found much use in practice despite the general desirability of parametric approaches in modern pharmaceutical quality control. A key reason for its slow uptake is that it rejects, with high probability, batches whose quality is considered acceptable by all other published regulatory and pharmacopeial standards as well as by the DDU specifications for many approved OIPs. Manufacturers therefore continue using nonparametric counting tests for control of DDU. A simulated case study presented here compares the consequences of the PTI-TOST compared to the counting test. The article discusses three possibilities that would help increase the uptake of the PTI-TOST approach, namely: product-specific quality standards, a different default standard suitable for the majority of OIPs, and integration of the PTI-TOST with a continuous verification control strategy rather than using it as an isolated-batch (transactional) end-product testing. In any of these efforts, if a parametric test is used, it is critical not to set the target quality close to, or at the boundary of the process/product capabilities, because PTI tests are designed to reject with high probability the identified target quality.

A respiratory product for children--development and submission experiences.

The article highlights experiences for the development and submission of an inhalation product for children.