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Stability Studies - Evaluation of Outcomes and Development of Documentation For Regulatory Submissions Bob Seevers.

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Presentation on theme: "Stability Studies - Evaluation of Outcomes and Development of Documentation For Regulatory Submissions Bob Seevers."— Presentation transcript:

1 Stability Studies - Evaluation of Outcomes and Development of Documentation For Regulatory Submissions Bob Seevers

2 Outcomes of Stability Studies Retest date or shelf-life for APIs Shelf-life for drug products Stability-indicating analytical methods Appropriately protective packaging for API and drug product Understanding the impact of temperature excursions during distribution

3 ICH Q1E Evaluation of Stability Data Presentation of data Extrapolating from existing data Decision Trees

4 ICH Q1E Stability data from 3 lots of drug substance or drug product may used to establish a shelf-life or retest date. This is a statistical prediction – Increased variability among lots means less confidence in the shelf-life/retest date – More lots provide greater confidence – Extrapolation from available data is limited

5 ICH Q1E: Data to Provide Results from the physical, chemical, biological, and microbiological tests such as: – Dissolution – Degradants – Assay – Preservative content The adequacy of the mass balance should be assessed. Factors that can cause an apparent lack of mass balance should be considered – Mechanisms of degradation – Stability-indicating capability of analytical methods

6 ICH Q1E Extrapolation Can extend expiration dating or retest date beyond available long-term stability data if – Sufficient long-term data is available to assess any trends – No significant change is observed under accelerated conditions This process is spelled out in Q1E decision trees Shelf-lives/retest dates established based on extrapolation must be confirmed by long-term data when available

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8 ICH Q1E Additional Analysis For each parameter set a regression line with 95% confidence interval

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10 ICH Q1E Additional Analysis Testing if data from all batches can be pooled to determine shelf-life/retest date – Slopes and intercepts for each batch should be the same to be pooles – Analysis of Covariance used Analysis of Bracketing studies – Assumes stability of the intermediate strengths or sizes is represented by the stability at the extremes. – If the statistical analysis indicates that the stability of the extreme strengths or sizes is different, the intermediate strengths or sizes should be considered no more stable than the least stable extreme.

11 ICHQ1E Additional Analysis Matrixing – Important to ascertain that all factors and factor combinations that can have an impact on shelf life estimation have been appropriately tested. – Statistical analysis should clearly identify the procedure and assumptions used. Assumptions underlying the model in which interaction terms are negligible should be stated. If a preliminary test is performed for the purpose of eliminating factor interactions from the model, the procedure used should be provided and justified. The final model on which the estimation of shelf life will be based should be stated. Use of a matrixing design can result in an estimated shelf life shorter than that resulting from a full design.

12 ICH Q5C Stability Testing of Biotechnological/Biologic Products Applies to well-characterised proteins and polypeptides, their derivatives and products of which they are components, and which are isolated from tissues, body fluids, cell cultures, or produced using rDNA technology. Does not provide specific data analysis recommendations Therefore the principles of ICH Q1E should be applied to biotech/biologic drugs

13 Curent WHO Guidance Annex 2 Stability testing of active pharmaceutical ingredients and finished pharmaceutical products (2009) Provides limited recommendations for data evaluation that are consistent with ICH Q1E

14 Documentation For Regulatory Submissions

15 RHSModel Stability QOS 15 Which is Better: This?

16 RHSModel Stability QOS 16 And This…

17 RHSModel Stability QOS 17 And So On for Page After Page…

18 RHSModel Stability QOS 18 Or This? Figure 1. API degradation rate (%/ 12 mo) vs. change in mean 25°C/60% RH.

19 RHSModel Stability QOS 19 And This Figure 2. API degradation rate (%/ 6 mo) vs. change in mean 40°C/75% RH

20 RHSModel Stability QOS 20 And This Drug Product Degradation Product 25 C/60%RH. Results of ICH Q1E analysis. All pkg studied; only worst case shown.

21 RHSModel Stability QOS 21 Graphical Presentation of Data All data presented as points on graphs Full data tables available if requested Important convention: Y-axis of data plots scaled to – either the upper bound of the acceptance criteria – or to accommodate the maximum value of the data if it exceeds the acceptance criteria. Rationale for specifications becomes very clear

22 How Has This Worked? Regulators have asked for the tables of data There is an FDA-Industry group working on a data standard for submitting stability results Some state that they want to do their own analysis of the stability data In practice this is extremely rare

23 What is Needed Stability data in tables or graphs or both – 2 nd person verified – Be prepared to submit electronically Statistical analysis Justify parameters tested Validation reports for analytical methods Conclusions – Retest date for drug substance – Shelf-Life for drug product

24 Immediate Release Solid Orals Assay Appearance Degradants Dissolution Moisture

25 Modified Release Dosage Forms Enteric coated to release in intestine not stomach Delayed release Assay Appearance Degradants Dissolution Moisture

26 Parenteral Products Assay Appearance Preservative Content Degradation Products Particulate matter pH

27 Creams, Ointments, and Suppositories Assay Appearance Degradants pH Resuspendibility for lotions Viscosity Particle size Preservative and Antioxidant Content

28 Non-parenteral Liquids Assay Degradants Preservative Content Degradation Products Particulate matter pH


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