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Regulatory Guidance: Designing A Strategy For Container Closure Integrity Testing Of Sterile Injectable Product

Source: Lighthouse Instruments

By Derek Duncan, Ph.D., Director at Lighthouse Instruments

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Container closure integrity (CCI) plays an important role in maintaining the sterility and stability of sterile injectable products. The defects which cause a sterile vial to leak are not necessarily defects that will be detected by a visual inspection process. Examples of such defects are defects that are hidden by the crimp, microscopic cracks & scratches in the glass, or temporary defects such as stopper pop-up that result in temporary container leakage. Recent regulatory guidance has triggered changes in industry best practices in the area of CCI testing (CCIT). This article summarizes the current state of container closure integrity testing in the pharmaceutical and biopharmaceutical industries and outlines possible approaches for developing a CCIT strategy.

REGULATORY ENVIRONMENT FOR CONTAINER CLOSURE INTEGRITY
Historically, good container closure integrity has been linked to the maintenance of sterility. A container that loses, or does not have, good closure integrity is at risk for microbial contamination. However, the context of container closure integrity has become broader over the years. An increasing number of formulations have significant sensitivity to oxygen and need to be packaged under an inert atmosphere. Freeze-dried product requires protection against water vapor and is often packaged at a partial vacuum to help with reconstitution and/or seating of the stopper. In these cases, good container closure integrity is necessary not only for the maintenance of sterility but also to maintain critical headspace gas conditions. Note that, quite generally, a container that is gas-tight will also be tight against microbial ingress. Therefore, the requirement to maintain headspace gas conditions imposes higher standards on CCI than the requirement to maintain sterility.

In light of the importance of CCI for product sterility and stability, recent regulatory guidance has placed an increasing emphasis on container closure integrity concepts. The current USP <1207> chapter titled ‘Package Integrity Evaluation – Sterile Products’ was implemented in late 2016 and represents the most thorough guidance document to date on container closure integrity concepts for sterile injectable product. The chapter gives an overview of CCI testing technologies and approaches for CCI control over the product life cycle. Traditional CCIT methods, such as microbial challenge tests or blue dye ingress tests, are described as methods associated with probabilistic outcomes having some uncertainty in the results. This, in turn, makes such methods difficult to quantitatively validate for the detection of critical leaks [Ref. 1]. The chapter also makes clear that container closure integrity testing should be performed throughout the product life cycle. Deterministic CCIT methods based on quantitative analytical measurements can be used to generate science-based CCI data that, coupled with a risk-based approach, enables informed decisions about a CCIT strategy in commercial manufacturing.

More recently, a second draft revision of the EU Annex 1 requirements for sterile product manufacturing was released in February, 2020 [Ref. 2]. Container closure integrity testing was a hot topic of discussion for the revision and the draft text contains new requirements for CCI testing in manufacturing. Other world regulatory bodies, Russia and South Korea for example, have also been putting increasing emphasis on CCI control for finished sterile product. It is clear from these recent developments that regulators want to see improved industry practices in the area of CCI testing.

CONTAINER CLOSURE INTEGRITY TEST METHODS
USP <1207> chapter provides an overview of CCI testing technologies and categorizes them as being deterministic or probabilistic (see Table 1 below). The chapter emphasizes that this overview of CCI testing technologies is not exhaustive but is a summary of technologies that have been implemented for CCI testing in the pharmaceutical industry and that are described by a body of peer-reviewed literature.

Table 1: CCIT techniques described in USP <1207>

It is important to distinguish between CCI technologies and CCI test methods. Once a leak testing technology has been chosen as the basis for a test method, the chapter emphasizes the need to perform method development studies generating data that demonstrates detection of a critical leak for a specific product container configuration using defined test method parameters: ‘After a methodology has been selected for use, the test equipment operation and performance is qualified. Test method parameters are optimized during method development and confirmed during validation. Thus, a final leak test method is specific to a particular container-closure or product-package system.’[Ref. 1] Another point emphasized in the chapter is that ‘no one test is appropriate for all packages or for all leak testing applications’. The chapter and its three sub-sections describe a framework in which appropriate CCI test methodologies are chosen, optimized per product configuration, and a robust validation of the method for detecting a critical leak is performed. In selecting a methodology, ‘deterministic leak test methods are preferred over probabilistic methods when other key method selection criteria permit’. Package integrity data is generated over the product life cycle and serves as input for an ongoing database of CCI data (the package integrity profile) which then serves as a risk management tool to ensure that CCI of finished product meets the product quality requirements. The framework described in the chapter is currently driving changes in industry best practices for CCI testing, including:

  • Implementation of a ‘toolbox’ of CCI test methods optimized and chosen on a per product configuration basis rather than the application of a single legacy test method in a one-size-fits-all approach.
  • Generation of science-based data in robust CCI product and process studies and in method development & validation studies which demonstrate the detection of a critical leak.

STATISTICAL SAMPLING AND GENERATING SCIENCE-BASED CCI DATA
A big topic of current discussion is how much CCI testing is required, especially for commercial batches of finished sterile product. Despite the general consensus that CCI is a critical quality parameter for finished sterile product, the industry has historically expended much more effort on testing for particle contamination than for CCI. Visual inspection to detect particulate contamination has been a requirement for many years with 100% inspection of finished parenteral product being done manually or by automated inspection platforms. In the context of risk to the patient, a loss of container closure integrity would, in general, be assessed as being just as critical as particle contamination.

The current EU Annex 1 guidelines require 100% leak testing for certain types of product containers: ‘Containers closed by fusion, e.g. glass or plastic ampoules, should be subject to 100% integrity testing’ [Ref. 3]. This requirement is a result of the fact that the inherent failure rate of the sealing process for these types of containers cannot be sufficiently controlled. The ongoing draft revision of the EU Annex 1 guidelines again states the requirement of 100% integrity testing for fused containers and adds the following requirements for all other types of containers: ‘Samples of containers closed by other methods should be taken and checked for integrity using validated methods. The frequency of testing should be based on the knowledge and experience of the container and closure systems being used. A scientifically valid sampling plan should be utilized. The sample size should be based on information such as supplier approval, packaging component specifications and process knowledge. It should be noted that visual inspection alone is not considered as an acceptable integrity test method.’[Ref. 2] There are several interesting discussion points about CCI requirements in this version of the draft revised EU Annex 1 text:

  • The frequency of CCI testing in manufacturing is not mandated but should be defined based on ‘knowledge and experience of the container and closure systems’.
  • The sample size is also not mandated but should be based on ‘information…and process knowledge’.

If one equates ‘knowledge of the container, closure systems, and process’ to mean ‘data on the container, closure systems, and process’, one comes to the conclusion that scientific CCI studies should be conducted earlier in the product life cycle to justify the CCI testing strategy in manufacturing. In other words, there is an implicit requirement on packaging and process development to generate robust scientific CCI data in support of manufacturing’s efforts to be compliant. If CCI studies generate data showing a high-risk package or process, then a more robust CCI testing strategy should be implemented in manufacturing and vice versa.

Another interesting point of discussion is the language referring to CCI and visual inspection. Some production facilities point to the 100% visual inspection process to justify meeting current CCIT guidance such as the following from the Food and Drug Administration: ‘A container closure system that permits penetration of microorganisms is unsuitable for a sterile product. Any damaged or defective units should be detected, and removed, during inspection of the final sealed product.’ [Ref. 4] The language of the draft EU Annex 1 revision makes clear that visual inspection is not considered an acceptable integrity test method. If statistical or 100% testing is desired, CCI test methods that enable the testing of larger sample sizes will need to be implemented.

To demonstrate statistical confidence in the process requires the generation of statistical CCI data. However, an argument could be made that a better place to do this in the product life cycle is in process development and scale-up rather than in manufacturing. The guidance provided in USP <1207> to collect package integrity data throughout the product life cycle to create a package integrity profile database implies an approach in which a significant amount of CCI data is generated outside of the manufacturing environment. The generation of robust CCI data providing knowledge of the container and closure system and the effects of the process on CCI, which then gives guidance to a CCIT strategy in manufacturing, is exactly what is implied in the draft revised EU Annex 1 text as previously discussed. The schematic shown in Figure 1 outlines a possible approach to generating CCI data that enables the design of an appropriate CCI testing program in manufacturing.

After validation of the fundamental closure system, data needs to be generated to understand if the process introduces risk to CCI. To gain statistical confidence in the process, it would be necessary to perform testing on statistical sample sets. This in turn will require the use of non-destructive deterministic test methods because the probabilistic legacy test methods (blue dye and microbial ingress testing) have limited throughput capability. Testing could be done on either a pilot scale or with test and engineering batches from the manufacturing environment. Once a baseline failure rate has been established, process controls could be implemented to improve the process, if necessary. Product from the improved process would be tested to quantify the residual risk to CCI after which a decision could be made for an appropriate testing strategy in manufacturing. Packages and processes having a high inherent failure rate that is difficult to control would require a heavier inspection process and vice versa. In this way, the decision for an inspection process design is driven by science-based statistically relevant data.

Figure 1: Framework for generating data to define a CCI control strategy.

SUMMARY
The current environment for CCI testing of sterile injectable product is evolving. New regulatory guidance recognizes CCI as a quality parameter that is critical for the maintenance of both the sterility and the stability of finished sterile product. New concepts introduced in the regulatory guidance are changing industry best practices and include the following:

  • Generate science-based CCI data throughout the product life cycle to build up a package integrity profile database that can be used as input for risk management
  • When possible, use deterministic CCI test methods that have been validated to detect a critical leak
  • There is no one-size-fits-all CCI test; a toolbox of CCI testing technologies that can be optimized on a per product package configuration is necessary for a robust CCIT program<

REFERENCES

  1. U.S. Pharmacopoeia. USP 40 <1207>. Sterile Product Packaging - Integrity Evaluation. United States Pharmacopoeial Convention, Inc.: Rockville, MD, 2017
  2. EU Annex 1 Revision, February 20th, 2020: https://ec.europa.eu/health/sites/health/files/files/gmp/2020_annex1ps_sterile_medicinal_products_en.pdf
  3. European Commission. EudraLex. The Rules Governing Medicinal Products in the European Union. Volume 4: EU Guidelines to Good Manufacturing Practice-Medicinal Products for Human and Veterinary Use. Annex 1 Manufacture of Sterile Medicinal Products. Brussels, Belgium: European Commission; 2009.
  4. FDA Guidance for Industry: Sterile Drug Products Produced By Aseptic Processing - Current Good Manufacturing Practice, September 2004 (FDA, Rockville, MD)

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