Title: ACPS Manufacturing Subcommittee Report
1ACPS Manufacturing Subcommittee Report
- October 19, 2004
- Judy P. Boehlert, Ph.D.
- Chair
2Meeting Dates and Topics
- July 20, 2004
- Quality by Design Topic Updates
- Introduction to Bayesian Approaches
- Research and Training Needs The
Industrialization Dimension of the Critical Path
Initiative - Manufacturing Science and Quality by Design as a
Basis for Risk-based CMC Review - Risk-based CMC Review Paradigm
3Meeting Dates and Topics
- July 21, 2004
- Introduction to Pharmaceutical Industry Practices
Research Study - Pilot Model for Prioritizing Selection of
Manufacturing Sites for GMP Inspection - cGMPs for the Production of Phase I INDs
- Applying Manufacturing Science and Knowledge
Regulatory Horizons
4Quality by Design Topic Updates
- ICH Q8
- Guidance on pharmaceutical development section of
the CTD - Will describe baseline expectations and optional
information - Requires FDA and industry to think differently
- Process understanding and predictive ability
can lead to regulatory flexibility - Framework for continuous improvement
- Step 2 expected November 2004
5Quality by Design Topic Updates
- ICH Q9 - Quality Risk Management
- Risk identification should link back to
potential risk to the patient - Risk assessment What can go wrong? What is the
likelihood? What are the consequences? - Risk control Options for mitigating, reducing
and controlling risks - Risk communication Between decision makers and
other shareholders - Step 2 November, 2004?
6Quality by Design Topic Updates
- Quality Systems needed to realize potential of Q8
and Q9 (ICH Q10?) - Monitor and evaluate processes with feedback
loops in a manner to identify trends and
demonstrate control or the need for action - Manage and rectify undesirable occurrences
- Handle improvements
- Manage/implement/monitor change
- Q10 on hold
7Quality by Design Topics
- ASTM E55 Committee
- Development of standards for PAT
- Consensus standards with input from industry,
academia and regulators - Established process with an umbrella set of rules
- ASTM recognized worldwide
- Three functional committees
- Management (Sub 1)
- Implementation and practices (Sub 2)
- Terminology (Sub 91)
- Avoid duplication with other initiatives?
8Introduction to Bayesian Approaches
- Reliability for the Analysis of Risk
- Reliability the quantification of uncertainty
- Utility costs and rewards that occur as a
consequence of any chosen decision - Risk Analysis process assessing reliabilities
and utilities including identification of
consequences - Scales for measuring uncertainty, e.g.,
probability
9Introduction to Bayesian Approaches
- When the quantification of uncertainty is solely
based on probability and its calculus, the
inference is said to be Bayesian. - Discussion of use of Bayesian approaches for ICH
Q8, Q9, Q10 and use of prior information
10Industrialization Dimension - Critical Path
Initiative
- Examining innovational stagnation
- Critical path inadequate attention in areas of
new or more efficient methodologies and
development research - Industrialization goes from physical design of
prototype up to commercial mass production - Education and research infrastructure needs
improvement
11Industrialization Dimension - Critical Path
Initiative
- FDA strong interest in computational
methodologies to support CMC - Putting together a chemometrics group
- New FDA research program focusing on
industrialization dimension - Training needs, e.g., pharmaceutical inspectorate
training program
12Manufacturing Science and Quality by Design
- Basis for risk-based CMC review
- Companies share product/process understanding
with regulators - Base specifications on mechanistic understanding
- Continuous improvement
- Real time quality assurance
13Science Perspective on Manufacturing
- Define current and the desired state and steps to
go from here to there - Define terms manufacturing science,
manufacturing system and manufacturing capability - Real case studies will help
- Testing is mostly non-value added quality be
design is the desired state
14Risk-Based CMC Review - ONDC
- Provide regulatory relief by incorporating
science based risk assessment - More product/process knowledge shared by industry
- More efficient science based inspections
- Focus resources on critical issues
- Specifications based on risk based assessment
15Risk-Based CMC Review - ONDC
- Quality Assessment rather than a Chemistry Review
- Conducted by interdisciplinary scientists
- Risk-based assessment
- Focus on critical quality attributes and their
relevance to safety and efficacy - Reliance on knowledge provided by applicants
- Comparability Protocols
16Risk-Based CMC Review - ONDC
- Role of process capability in setting
specifications will need to be addressed there
may be no clinical relevance - Knowledge base at time of submission
- Specifications should not be used as a tool to
control the manufacturing process - Expand the Quality Overall Summary in the future
17Risk-Based CMC Review - OGD
- Extent of product knowledge is key
- Risk-based decisions based on supportive data
- Voluntary!
- Supplement need based on knowledge of the risk of
the change - Clear rationale for selection of specifications
18Risk-Based CMC Review - OGD
- Identify critical parameters for product
manufacturing and stability - Train FDA staff and regulated industry
- Yields greater flexibility in optimizing the
process - Lessened supplement burden
- Real examples would be an asset
19Risk-Based CMC Review - OGD
- Generic industry focus is on a bioequivalent
product - Often patent issues to design around
- Workload in OGD a significant issue
- Provide advice to industry on improving quality
of DMFs
20Risk-Based CMC Review Asking the Right Questions
- Desired State
- Include needed data in filing
- Process and product design
- Identify critical attributes
- Identify process critical control points
- Analyze data to produce meaningful summaries and
scientific rationales - Reviewers assess adequacy of submission by asking
the right questions
21Additional Committee Comments Day 1
- ICH and ASTM activities appear to be synergistic
but ICH needs to be aware of ASTM focus - Is FDA getting ahead of ICH Q8, 9,10?
- Need concrete examples
- Need to clearly demarcate minimum and optional
information necessary - Optional information comes in degrees as more
is learned
22Additional Committee Comments Day 1
- Need to avoid implying two different quality
approaches - Will need training programs and case studies
form a working group under the Manufacturing
Subcommittee? - Need to find better terms than minimal and
optional - Focus on process and then the tools
23FDA Research Project
- Identify attributes that impact inspection
outcomes - Compile and link FDA databases
- Look at variables for product/process, facility,
firm and FDA - Status collecting data CDER completed, CBER
ongoing - Georgetown University Washington University
24Pharmaceutical Manufacturing Research Study
- Focus - Are cGMP violations related to
managerial, organizational and technical
practices - Interview manufacturers
- Internet based questionnaire in Fall 2003
- U.S. and EU Manufacturers
- Data collection near completion
- Georgetown University Washington University
25Pharmaceutical Industry Practice Comments
- Concern with just looking at numbers of
deviations or field alerts, particularly, when
investigation may have shown little concern - Also, very detailed SOPs can lead to more
deviations - India and China not included in API manufacturers
26Risk Ranking and Filtering
- Risk ranking series of decisions to start to
rank within a class or across classes - Tools may be customized for each application
- Filters may be used to reflect resource
limitations and/or program goals
27Pilot Risk-Ranking Model to Prioritize Sites for
GMP Inspections
- Using ICH Q9 concepts of defining risk
- Site Risk Potential (SRP) includes product,
process and facility components - Look at probability and severity components that
make up harm - Looking at other risk ranking models, e.g., EPA
and USDA - Using the CDER Recall database
28Pilot Risk-Ranking Model to Prioritize Sites for
GMP Inspections
- Comments
- Focusing on volume at a site may be misleading
the risk could actually be lower - Need to also consider risk of the loss of
availability - Consider hard to fabricate products or products
with difficulty controlling uniformity - Investigator consistency will be an issue
- Look at high personnel turnover
29Pilot Risk-Ranking Model to Prioritize Sites for
GMP Inspections
- Will sites know how they are ranked?
- Self-inspections are a critical part of the
Quality System but the value to the company is
diminished if information is available to FDA
30GMPs for the Production of Phase I Drugs
- CMC review to ensure the identity, strength,
quality and purity of the investigational new
drugs as they relate to safety - Draft guidance for GMPs in process (CDER, CBER,
ORA) - Risk-based approach
- No regular inspection program looked at on a
for cause basis
31Process Understanding and PAT
- Update on the PAT initiative
- Guidance recently finalized
- Expand to biotech products
- Continue training of FDA staff
32Comparability Protocol
- Update on guidances
- Goal is to provide regulatory relief for
postapproval changes - A detailed plan describing a proposed change with
tests and studies to be performed, analytical
procedures to be used and acceptance criteria to
demonstrate lack of adverse effect on product - Many comments received from the public
33Comparability Protocol
- Committee Comments
- Single use protocol has limited utility more
utility for repetitive changes - Specificity of the protocol may limit repetitive
use - How much specificity is needed?
- For a well defined protocol, an AR should be
sufficient
34General Conclusions
- General principles are good but case studies are
needed to facilitate understanding - Case studies should cover all industries, e.g.,
dosage form, API, Pioneer and Generic - Committee expressed concern on what appears to be
understaffing in OGD
35General Conclusions
- Failure Mode Effect Analysis (FEMA) can be
linked with risk based decision making wherein
the results feed into decision trees - Training and education of both regulators and the
industry in the new approaches is key - Historical inconsistency in regulator findings
may limit the utility of surveys