Design Space and Control Strategy Global Quality Operations Novartis Basel SAQ Olten 2006 1
Outline ICH Q8, Q9 and Q10 The Vision of the desired state Q8 is a Door Opener for Describing Quality by Design Including more Science and Risk Management Including PAT Include Design Space Introduces the concept of Design Space Describes how to define what is critical Redefines what is a Change Quality Risk Management supports the Control Strategy Summary 2
Global Challenges Rising Global Regulatory Bar Consent decrees and enormous fines from manufacturing compliance deficiencies Higher safety hurdles for marketing approval Challenge of Sustaining Product Pipeline & Flow Biotech contribution less than expected Government price control Challenge of Earning Stakeholders Trust Ref: Fred Hassan CEO Schering-Plough 3
FDA s 21 st Century Quality Initiative Goals 1. Encourage the early adoption of new technological advances by the industry 2. Facilitate industry application of modern quality management techniques, including implementation of quality systems approaches, to all aspects of pharmaceutical production and quality assurance 3. Encourage implementation of risk-based approaches that focus both industry and FDA attention on critical areas Woodcock, FDA 4
The Paradigm Change From blind compliance to science and risk based compliance Ajaz Hussain, FDA 5
ICH agreed Desired State Product quality and performance achieved and assured by design of effective and efficient manufacturing processes Product specifications based on mechanistic understanding of how formulation and process factors impact product performance An ability to effect Continuous Improvement and Continuous "real time" assurance of quality 6
GMP and Regulatory Actions FDA Pharmaceutical cgmp for the 21st Century a Risk based Approach FDA : Innovation and Continuous Improvement in Pharmaceutical Manufacturing 2004 2005 2006 FDA PAT guideline FDA Draft Quality Systems Q8 Pharmaceutical Development Q10 Pharmaceutical Quality System Q9 Risk Management Expe ICH rt Working Groups (EWG) Update Q6A/B? 7
Process Analytical Technology : PAT FDA s Vision : Paradigm Change: Quality by design replaces Testing to Document Quality Product and Process specifications based on mechanistic understanding of how factors affect product performance Process understanding leading to Real Time Quality assurance Continous Improvement Regulatory policies tailored to science Risk based approaches 8
The role of Process Understanding 9
Process Understanding Pharma Air Plane 10
Challenges to Understanding Understanding involves Measurements 11
Challenges to Analytical Science The need for increased Process understanding is a massive Boost for Analytical Science 12
Challenges to Analytical Science adequate Tools? 13
Challenges to Analytical Science adequate Tools! 14
Challenges to Analytical Science We need the adequate Tools 15
Global Harmonisation (ICH+GCG) Expe rt Working Groups (EWG) Global Cooperation Group WHO APEC : Asia Pacific Economic Cooperation ASEAN : Assoc. South East Asian Nations GCC : Gulf Cooperation Council PANDRH : Pan American Network for Drug Reg. Harm. SADC : South African Dev. Community 16
What is Q8 be! Guideline for the description what is in P2 Describes the minimal Standard for P2 Opens door to get closer to the Desired State Science based Includes Risk Management Continuous improvement Real Time Release ICH Q8 Door opener for Quality by Design 17
What is Quality by Design Elements of a QbD Systematic Development Approach Formulation Understanding Process Understanding Packaging Understanding Application of Quality Risk Management Advanced Control Strategy 18
Quality by Design Conventional PD Mainly empirical approach Quality assured by endproduct testing and inspection Process is fixed, disallowing changes Focus on process reproducibility often avoiding or ignoring variability Limited and simple IPC Quality by Design(ideal) A systematic approach Quality assured by well understood product and process, moving controls upstream without relying on end-product testing as much as possible Flexible process within design space, allowing continuous improvement Focus on formulation and process robustness understanding and controlling variability Extended PAT tools replacing the need for end product testing 19
P2 Content per CTD-Q 1. Drug substance Key physicochemical characteristics Compatibility 2. Excipients 3. Drug product Rationale for type of product Formulation development Overages Physicochemical and biological properties Performance testing 4. Manufacturing Development 5. Container closure system (and delivery devices) 6. Microbiological attributes 7. Compatibility Where to put information in on Quality by design Science Risk Management Continous improvement Real Time Release When to update the document 20
Where do we stand? Q8 Step 4 signed by 6 ICH partners and observers Confirmed main Strategic issues Clarifying baseline and optional expectations Outlined areas of potential regulatory flexibility that could be expected when presenting optional information 21
Q8 General Concepts QbD and Risk Management The Pharmaceutical Development section provides an opportunity to present the knowledge gained through the application of scientific approaches and quality risk management to the development of a product and its manufacturing process. 22
Q8 General Concepts QbD and Risk Management The aim of pharmaceutical development is to design a quality product and its manufacturing process to consistently deliver the intended performance of the product. The information and knowledge gained from pharmaceutical development studies and manufacturing experience provide scientific understanding to support the establishment of the design space, specifications, and manufacturing controls. 23
Q8 General Concepts What is minimal requirement At a minimum, those aspects of drug substances, excipients, container closure systems, and manufacturing processes that are critical to product quality should be determined and control strategies justified. 24
Q8 General Concepts What is critical? Critical formulation attributes and process parameters are generally identified through an assessment of the extent to which their variation can have impact on the quality of the drug product. 25
Q8 General Concepts Optional process understanding In addition, the applicant can choose to conduct pharmaceutical development studies that can lead to an enhanced knowledge of product performance over a wider range of material attributes, processing options and process parameters. 26
Q8 General Concepts What we get in return This scientific understanding facilitates establishment of an expanded design space. In these situations, opportunities exist to develop more flexible regulatory approaches, for example, to facilitate: risk-based regulatory decisions (reviews and inspections); manufacturing process improvements, within the approved design space described in the dossier, without further regulatory review; reduction of post-approval submissions; real-time quality control, leading to a reduction of endproduct release testing. 27
Possible Regulatory Flexibility Continuous Improvement Real time release Reduced or elimination of routine end product testing Expanded design space Independence on scale Independent of equipment Independent of site Independent from drug substance manufacturing if within spec Process Validation Process validation replaced by Concurrent Process Verification using validated methods (qualified controls) Stability Testing Reduced confirmation stability studies for any changes within the design space Reduced annual stability batches 28
Q8 General Concepts Review - Inspection The Pharmaceutical Development section is intended to provide a comprehensive understanding of the product and manufacturing process for reviewers and inspectors. 29
Q8 Strategic Questions : Submissions and Post Approvals It is first produced for the original marketing application and can be updated to support new knowledge gained over the lifecycle of a product 30
Process understanding Key for making a good story! 31
Q8 Strategic Questions : What is the Design Space? Will be the Base for Continuous Improvement! 32
Design Space Is Key for claiming Process Understanding Process understanding is Key for Quality Risk Management QRM is the base for any Control Strategy 33
Design Space The multidimensional combination and interaction of input variables (e.g., material attributes) and process parameters that have been demonstrated to provide assurance of quality. Working within the design space is not considered as a change. Movement out of the design space is considered to be a change and would normally initiate a regulatory post approval change process. Design space is proposed by the applicant and is subject to regulatory assessment and approval. 34
Q8 Design Space : Redefines what is a Change? Base for all Post Approval Changes 35
EFPIA PAT Topic Group Chris Potter Rafael Beerbohm Alastair Coupe Gerd Fischer Staffan Folestad Gordon Muirhead Stephan Roenninger Alistair Swanson AstraZeneca: Chairman Boehringer-Ingelheim Pfizer Novartis Sanofi-Aventis AstraZeneca GSK F Hoffmann-La Roche Pfizer EFPIA PAT Team 36
An Industry View of QbD in Dossier: Key Scientific Elements and Flow Target Product Profile Prior Knowledge Product/ Process Dev. Product/ Process Design Space Control Strategy Regulatory Flexibility Definition of Product Intended Use and predefinition of Quality targets (wrt clinical relevance, efficacy and safety) Summary of Prior Scientific Knowledge (drug substance, excipients; similar formulations and processes). Initial Risk Assessment Overview of Quality by Design key actions and decisions taken to develop New Scientific Knowledge, e.g. DoE, PAT, Risk Assessment and Risk Control Summary of Scientific Understanding of Product and Process. Justification and description of Multi-dimensional Space that Assures Quality (interrelation-ships and boundaries of Clinical Relevance). Definition of Control Strategy based on Design Space leading to Control of Quality and Quality Risk Mgmt. (Process Robustness) Proposal of Regulatory Flexibility based on Product and Process Scientific Knowledge and Quality Risk Mgmt. (Materials, Site, Scale etc) 37
Design Space (ICH Q8) The multidimensional combination and interaction of input variables (e.g., material attributes) and process parameters that have been demonstrated to provide assurance of quality. Working within the design space is not considered as a change. Movement out of the design space is considered to be a change and would normally initiate a regulatory post approval change process. Design space is proposed by the applicant and is subject to regulatory assessment and approval. 38
Design Space Is Key for claiming Process Understanding Process understanding is Key for Quality Risk Management QRM is the base for any Control Strategy 39
Dissolution profiles of examplain hydrochloride tablets - effect of lubrication level ph 6.8 120 Mean % dissolution 100 80 60 40 20 0 0 5 10 15 20 25 30 45 Time (minutes) 1% Mg St 2% Mg St 3% Mg St EFPIA PAT Team 40
Design of Experiments (DoE) Effect of inlet temperature and air flow on degradation and generation of fines Degradation and fines Inlet temperature Inlet temperature Degradation Fines EFPIA PAT Team 41 Air flow Air flow Air flow Inlet temperature
Examplain Design Space Graphical Description 18.5% 17.5% % H 2 O Regions of uncertainty Known edge of failure due to fines Known edge of failure due to degradation Trajectories describing the boundaries of the design space where product quality is assured 2.0% 1.5% EFPIA PAT Team Drying time 42
PAT Development Approach Target Product Profile Drug substance and Excipient properties; prior knowledge Formulation understanding EFPIA PAT Team FORMULATION DESIGN SPACE Proposed formulation and manufacturing process Initial Risk Identification Determination of Cause Effect relationships Risk-based classification (Risk Evaluation) Proposed Parameters to investigate (e.g. by DOE) (Risk Reduction) QUALITY RISK MANAGEMENT CONTROL STRATEGY PROCESS DESIGN SPACE BY UNIT OPERATION 43 Process understanding
Real-Time Monitoring Batch Fingerprint/Golden Batch - Predicted scores for t[1] 5 4 3 2 1 0 t[1] -1-2 -3-4 -5-6 -7 M1-1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Time/M aturity ($Time) 3 std. dev. A verage Batch -3 std. dev. 1003412 SIMC A-Batch On-Line View 2.1-7/29/2005 12:48:56 PM 44
Plot For One Variable 520096_DR_A - MVD1-MS:LN_DYA52009636_AIRVOL 3 std. dev. Average Batch -3 std. dev. 666022_D 5 4 MVD1-MS:LN_DYA52009636_AIRVOL 3 2 1 0-1 -2-3 -4-5 -6 M1-1 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Time/Maturity ($Time) SIMCA-Batch On-Line View 2.1-5/24/2005 7:57:47 AM 45
Assay Training Set & Test Set Observed vs. Predicted - Assay - Training Set & Test Set Workset Test Set Y Obsereved - Assay 110.0 109.0 108.0 107.0 106.0 105.0 104.0 103.0 102.0 101.0 100.0 99.0 98.0 97.0 96.0 95.0 94.0 93.0 92.0 91.0 90.0 y=0.983*x+1.7 R2=0.9268 90.0 91.0 92.0 93.0 94.0 95.0 96.0 97.0 98.0 99.0 100.0 101.0 102.0 103.0 104.0 105.0 106.0 107.0 108.0 109.0 110.0 Y Predicted - Assay RMSEP = 0.502927 SIMCA-P+ 10.5-8/8/2005 10:57:20 AM 46
MVBA Results Observed vs Predicted - Content Uniformity Y Observed 110 109 108 107 106 105 104 103 102 101 100 99 98 97 96 95 94 93 92 91 y=1.001*x-0.09658 R2=0.9773 90 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 Y Predicted RMSEE = 0.105025 SIMC A-P+ 11-7/26/2005 3:46:40 PM 47
MVBA Results O bserved vs Predicted - Dissolution Y Observed 110 109 108 107 106 105 104 103 102 101 100 99 98 97 96 95 94 93 92 91 y=1.004*x-0.399 R2=0.9806 90 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 Y Predicted RMSEE = 0.316803 SIMC A-P+ 11-7/26/2005 3:47:39 PM 48
ICH Q8 : Important points for Industry Open the door for submitting Quality by Design data No escalation of requirement Defines Baseline Defines optional opportunities Optional Update of P2 for adding knowledge for PAC Defines : What is a critical parameter Design Space: What is/is not a change Regulatory Flexibility Continuous improvement Real time release 49
Q8 Next steps June 2006 ICH EWG Japan Q8 addendum for specific dosage forms Q8 for API s? Q8 Implementation Learn to use concepts Design space Critical Parameters Regulatory flexibility 50
Quality Risk Management Q9 and the Control Strategy 51
The Quality Risk Management Process Initiate Quality Risk Management Process Risk Assessment Risk Identification Risk Analysis Risk Evaluation Risk Communication Risk Control Risk Reduction Risk Acceptance unacceptable Risk Management tools Output / Result of the Quality Risk Management Process Risk Review Review Events 52
Cause and Effect Process Drying Analytical Temp RH Operator Temp/RH Operator Training Plant Factors Precompressing Main Compressing Feeder Speed Press Speed Punch Penetration Depth Tooling Feed Frame Compressing Endpoint Power Time Air Flow Shock Cycle Spray Rate Spray Pattern Scrape Down Chopper Speed Mixer Speed P.S. Granulation Water Binder Temp Other Lubricant Disintegrant Binder Drug Substance Age P.S. Process Conditions LOD Diluents P.S. LOD Raw Materials Sampling Method Water Content 53
QRM Tools: Failure Mode Effects Analysis (FMEA) Risk Assessment Sub-Step Event (Failure mode) Effect Severity (S) [1<2<3] Probability (P) [1<2<3<4] Detectability (D) [1<2<3] Risk factor (S*P*D) Granulation Drying water content not meet specification of degradation 2 3 1 6 Risk Reduction Actions: Risk reduction strategy Severity (S) [1<2<3] Probability (P) [1<2<3<4] Detectability (D) [1<2<3] Risk factor (S*P*D) Risk reduction Comments introduce online NIR 2 1 1 2 4 indirect measurment introduce IPC analytic 2 2 1 4 2 humidity measurement in the exausting air 2 1 2 4 2 direct measurement; time consuming indirect measurment; unspecifoc 54
Risk Management process Unit operation Quality Attributes Dissolution Disintegration Hardness Assay Content Uniformity Degradation Dispensation Granulation Drying Blending Tableting Significant influence Initial assessment Prior knowledge First & Second review cycle Stability Appearance Formulation and Process understanding Identification Water Microbiology Third review cycle Control Strategy 55
QRM Design Space Control Strategy Quality Risk Management Initial QRM QRM QRM Final QRM DoE DoE DoE DoE Design Space Design Space Design Space Design Space P2 Document Control Strategy Continuous Improvement Real Time Release 56
Control Strategy Dispensation Granulation Fluidized Bed Dryer Scale Identity-NIR Raw Materials Extent of Wet Massing - Power Consumption Air Water Content NIR Particle size FBRM Blending Blend Homogeneity - NIR Multivariate Model (predicts Disintegration) Unit Operations Attributes Controls Tableting Content Uniformity NIR Packaging 57
Control Strategy Justification of necessary controls Raw Materials Control In-Process Controls End Product Controls (if necessary) Based on Process and Formulation Understanding Drives the Process in the Design Space Based on Quality Risk Management To ensure conforming Quality according Specifications 58
Summary Q8 describes content of Section P2 of the Q-CTD Q8 is a Door Opener for Describing Quality by Design Including more Science and Risk Management Including PAT Include Design Space Introduces the concept of Design Space Describes how to define what is critical Redefines what is a Change Quality Risk Management supports the Control Strategy 59
EFPIA PAT Topic Group Chris Potter Rafael Beerbohm Alastair Coupe Gerd Fischer Staffan Folestad Gordon Muirhead Stephan Roenninger Alistair Swanson AstraZeneca: Chairman Boehringer-Ingelheim Pfizer Novartis Sanofi-Aventis AstraZeneca GSK F Hoffmann-La Roche Pfizer EFPIA PAT Team 60