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Stability Studies - Evaluation of Outcomes and Development of Documentation For Regulatory Submissions. Bob Seevers. Outcomes of Stability Studies. Retest date or shelf-life for APIs Shelf-life for drug products Stability-indicating analytical methods
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Stability Studies - Evaluation of Outcomes and Development of Documentation For Regulatory Submissions Bob Seevers
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
ICH Q1E Evaluation of Stability Data • Presentation of data • Extrapolating from existing data • Decision Trees
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
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
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
ICH Q1E Additional Analysis For each parameter set a regression line with 95% confidence interval
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.
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.
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
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
Which is Better: This? Model Stability QOS
And This… Model Stability QOS
And So On for Page After Page… Model Stability QOS
Or This? Figure 1. API degradation rate (%/ 12 mo) vs. change in mean moisture @ 25°C/60% RH. Model Stability QOS
And This Figure 2. API degradation rate (%/ 6 mo) vs. change in mean moisture @ 40°C/75% RH Model Stability QOS
And This Drug Product Degradation Product CurrinA @ 25C/60%RH. Results of ICH Q1E analysis. All pkg studied; only worst case shown. Model Stability QOS
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 Model Stability QOS
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
What is Needed • Stability data in tables or graphs or both • 2nd 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
Immediate Release Solid Orals • Assay • Appearance • Degradants • Dissolution • Moisture
Modified Release Dosage Forms • Enteric coated to release in intestine not stomach • Delayed release • Assay • Appearance • Degradants • Dissolution • Moisture
Parenteral Products • Assay • Appearance • Preservative Content • Degradation Products • Particulate matter • pH
Creams, Ointments, and Suppositories • Assay • Appearance • Degradants • pH • Resuspendibility for lotions • Viscosity • Particle size • Preservative and Antioxidant Content
Non-parenteral Liquids • Assay • Degradants • Preservative Content • Degradation Products • Particulate matter • pH