EMERGING ISSUES AND CONSIDERATIONS IN MANUFACTURING QUALITY CONTROL AND ASSURANCE OF DRUG PRODUCTS - PowerPoint PPT Presentation

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EMERGING ISSUES AND CONSIDERATIONS IN MANUFACTURING QUALITY CONTROL AND ASSURANCE OF DRUG PRODUCTS

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black-box' controls. Quality-by-Inspection. III. Process Analysis Technology. BASS XI ... components and. processes. Current PQRI proposal. and draft Guidance ... – PowerPoint PPT presentation

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Title: EMERGING ISSUES AND CONSIDERATIONS IN MANUFACTURING QUALITY CONTROL AND ASSURANCE OF DRUG PRODUCTS


1
EMERGING ISSUES AND CONSIDERATIONS IN
MANUFACTURING QUALITY CONTROL AND ASSURANCE OF
DRUG PRODUCTS
  • Yi Tsong, Ph.D., Acting Deputy Director
  • Quantitative Methods and Research Staff
  • OB, OPaSS, CDER, FDA

This presentation does not necessarily represent
the official position of FDA
2
Three Dimensions of the Critical Path
  • Assessment of Safety how to predict if a
    potential product will be harmful?
  • Proof of Efficacy -- how to determine if a
    potential product will have medical benefit?
  • Industrialization how to manufacture a product
    at commercial scale with consistently high
    quality?

3
Working in Three Dimensions on the Critical Path
4
Statistical Chemical Manufacturing Control and
Assurance Programs
Shelf Life Determination Stability
Acceptance Tests of Finished Product
PAT (Process Analytical Technology)
In Vitro Equivalence Tests
5
I. Shelf Life Determination Stability
  • Pre-Marketing Shelf Life Determination
  • Single factor design ? Multiple Factor Design
  • ICH Guidance (2001)
  • Optimal matrix design (Lin Chen, JBS 2003)
  • Significance level (Chen Tsong, JBS, 2003)
  • Shelf life determination of multi-factor design
    (Tsong Chen, JBS, 2003)
  • Equivalence approach (Tsong, Chen, Lin Chen,
    JBS, 2003)
  • General Issues
  • Statistical Methods in Pharmaceutical Industry,
    3rd edition, 2004
  • Encyclopedia of Biopharmaceutical Stat. 2004
  • Encyclopedia of Clinical trials, 2005)

6
Shelf Life Determination Stability (2)
  • Postmarketing stability
  • Scale up
  • Mixed effect design (batch is random)
  • Nested factor design (specific levels of factors
    within a batch)
  • Compliance of stability batches
  • Web tool
  • User friendly stability analysis tool for FDA
    reviewers

7
II. Acceptance Tests of Finished Product
  • For general tablets
  • Blend uniformity
  • Dose content uniformity
  • Dissolution test
  • Purity test
  • For inhaler/unit dose delivery system
  • Delivery dose uniformity test
  • Single dose system
  • Multiple dose system
  • Almost all tests are established at 2nd WW
  • Without batch specification
  • Sample size restricted
  • Lack of inference consideration

8
USPXXIII 3-stage Dissolution Test Acceptance Rule
Step 1, 6 tablets
No
Step 2, additional 6 tablets
Yes
No
Accept
Step 3, additional 12 tablets
Yes
Accept
No
Reject
Yes
Accept
Tsong, Shen, Shah, JBS, 2004
9
Japan 2-Stage Dissolution Test Rule
Step 1, 6 tablets
No
Step 2, additional 6 tablets
Yes
No
Accept
Reject
Yes
Accept
Tsong, Shen, Shah, JBS, 2004
10
Tsong, Shen, Shah, JBS, 2004
11
3-Stage Dissolution Acceptance TestBased on
Sequential Tolerance Interval
Step 1, 6 tablets
No
Step 2, additional 6 tablets
Yes
Accept
Step 3, additional 12 tablets
Yes
Accept
No
Reject
Yes
Accept
Tsong, Shen, Shah, JBS, 2004
12
Tsong, Shen, Shah, JBS, 2004
13
Tsong, Shen, Shah, JBS, 2004
14
Tsong, Shen, Shah, JBS, 2004
15
Tsong, Shen, Shah, JBS, 2004
16
Tsong, Shen, Shah, JBS, 2004
17
FDA 2-Stage Delivery Dose Uniformity Acceptance
Test
Tsong Shen, 2004
18
USP lt905gt, Content Uniformity Test (n 30 units)
Step 1, 10 tablets
No
All 10 within 85-115 RSD ? 6
NMT 1 outside 85-115 All 10 within 75-125
Yes
Yes
Step 2, additional 20 tablets
No
Accept
Reject
NMT 1 outside 85-115 All 30 within 75-125 RSD
? 7.8
No
Reject
Yes
Accept
Tsong, Shen, JBS, 2006
19
Researches in Acceptance Tests of Finished Product
  • Parametric Tolerance Interval Approach
  • Adjusted for sequential tests
  • Unified OC curve against coverage
  • Various sample sizes
  • Small sample acceptance test
  • Large sample compliance study
  • Very large sample size process monitoring
  • Delivery Dose uniformity Test
  • Collaborating with IPAC
  • Dose Content Uniformity Test
  • Multivariate adjustment
  • Repeated test adjustment Process control chart

20
Hierarchy of Process Understanding
III. Process Analysis Technology
Current State
  • Trial-n-Error
  • Batch Processes
  • silo conditions
  • black-box controls
  • Quality-by-Inspection

Ajaz Hussain, AAPS 39th Pharm. Technologies
Conf., Jan. 2004
21
Hierarchy of Process Understanding
Desired State
  • 1st Principles Understanding
  • Robust Processes
  • Total Quality Control

Ajaz Hussain, AAPS 39th Pharm. Technologies
Conf., Jan. 2004
22
Hierarchy of Process Understanding
Intermediate State
  • DOE Optimization
  • Mechanistic Understanding
  • Process Analytical Technology (PAT)
  • Feed-forward control
  • Real-Time-Release (RTR)
  • Quality-by-Design

Ajaz Hussain, AAPS 39th Pharm. Technologies
Conf., Jan. 2004
23
Typical Solid Dosage Process
Wet Granulation
Milling/ Sizing
Inspection Release
Blending
Coating
Tablet Press
Cogdill, et al, Fall Tech. Conf., 2004
24
Fluidized Bed Drying
  • Input factors
  • Input air volume, humidity, temperature
  • Product moisture content
  • Material properties
  • Loading
  • Output factors
  • Drying time
  • Material properties
  • Used for other operations such as coating and
    granulation

Cogdill, et al, Fall Tech. Conf., 2004
25
Wet Granulation
  • Input factors
  • Rotational speed
  • Process scale
  • Product moisture content
  • Binder fluid application
  • Material properties
  • Output factors
  • Granulation time
  • Particle size distribution
  • Material properties
  • Tablet performance

Cogdill, et al, Fall Tech. Conf., 2004
26
Powder Blending
  • Factors varied
  • Drug concentration
  • Rotational speed
  • Humidity
  • Factors held constant
  • Material properties
  • Temperature
  • Fill level
  • Loading scheme

Cogdill, et al, Fall Tech. Conf., 2004
27
Tablet Compression
  • Input factors
  • Compression force
  • Dwell time
  • Tablet size shape
  • Material properties
  • Output factors
  • Tablet hardness
  • Friability
  • Tablet performance
  • Uniformity

Cogdill, et al, Fall Tech. Conf., 2004
28
Blend Uniformity PAT
Traditional test methods
Current PQRI proposal and draft Guidance
Univariate Testing to Document Quality Approach
Draft Guidance may include information on the
use of NIR methods
At-line test methods
On- and/or At-line test methods for all
critical components and processes
Proposed PAT Guidance Incentive? Higher
efficiency Lower risk leading to lower
regulatory concern
Multivariate Quality-by Design Approach
Ajaz Hussain, AAPS 39th Pharm. Technologies
Conf., Jan. 2004
29
Powder Blending
  • 8-qt plastic V-blender (Patterson-Kelly)
  • Blend composition
  • Salicyclic acid (SA), 30.5 mm particle size
  • Lactose, 115.5 mm particle size
  • Input factor levels
  • Relative humidity 20, 60
  • SA concentration 3, 7, 11
  • Rotation speed 12.8, 20.3 rpm

Cogdill, et al, Fall Tech. Conf., 2004
30
Powder Blending
  • Sampling method
  • Blend process monitored for 50 minutes
  • Stopped at pre-determined time intervals for
    sampling with thief probe and NIR analysis
  • Thief samples analyzed via UV spectroscopy (296.9
    nm)

Cogdill, et al, Fall Tech. Conf., 2004
31
Powder Blending
  • Typical powder blend profiles

Cogdill, et al, Fall Tech. Conf., 2004
32
D-Optimal Design of Experiment
  • 3 Factors
  • Humidity
  • Blender speed
  • Salicylic acid Concentration
  • Experimental design generated using JMP
  • ND 16 experiments

Cogdill, et al, Fall Tech. Conf., 2004
33
Cogdill, et al, Fall Tech. Conf., 2004
34
Thief-Sample Position Dependency
  • Outliers were flagged during UV analysis as
    samples exceeding 1.5x IQR

Cogdill, et al, Fall Tech. Conf., 2004
35
Results
P 0.0002
P 0.002
P 0.0331
Cogdill, et al, Fall Tech. Conf., 2004
36
PAT (Process Analytical Technology)
  • Optimal Design of Experiment
  • Collect Data to Establish Control Chart
  • Univariate
  • Multivariate
  • PCA
  • Profile
  • Application of Multi-level Control
  • Specification
  • Trend
  • Statistical Monitoring and Feedback System
  • Similar concepts are applicable also to
    batch-to-batch control of finished products

37
IV. In Vitro Equivalence Tests
  • Generic Product Requirement
  • SUPAC (Scale-up and Post Approval Changes)
    Requirement
  • Biowaiver
  • Comparability of new suppliers
  • Formulation change
  • Manufacturer site Change

38
In Vitro Equivalence Tests
  • Dissolution Profile Similarity Test
  • Particle Size Distribution Profile Equivalence
  • Pharmaceutical Equivalence

39
Dissolution Profile Similarity
40
Dissolution Profile Similarity
  • The U.S. FDA Guidance, (SUPAC IR), 1997
  • The U.S. FDA Guidance, (SUPAC MR), 1997
  • The U.S. FDA Guidance, (SUPAC ER), 1997
  • Sathe, Tsong, Shah, In Vitro-In Vivo Correlation,
    ed. Young D., Devane J.D., and Butler J., Plenum
    Publishing Corp., 1996.
  • Tsong, Hammerstrom, Sathe, Shah. Proceedings of
    the Biopharmaceutical Section of ASA, pp.
    129-134, 1996.
  • Tsong, Hammerstrom, Sathe, Shah. DIJ, 30
    1105-1112, 1996.
  • Shah, Tsong, Sathe, Liu. Pharmaceutical Research,
    15 889-896, 1998.
  • Ma, Wang, Liu, Tsong. JBS, 10(2)229-249, 2000.

41
Particle Size Distribution Profile Equivalence
Test of Inhaler Products
42
Particle Size Distribution Profile Equivalence
Test of Inhaler Products
43
Particle Size Distribution Profile Equivalence
Test of Inhaler Products
44
Challenges and Opportunities in CMC
  • Shelf Life and Stability
  • Pooling batches by equivalence
  • Pre-marketing to Scale-up, postmarketing
  • Measurements difference between stability and
    compliance
  • Quality of finished products
  • WWII compendia to modern inference
  • From mean and STD to tolerance interval
  • Multiple and repeated tests
  • Restricted sample size to unrestricted sample
    size
  • Batch test versus test during process

45
Challenges and Opportunities in CMC
  • PAT
  • From acceptance test to quality by design
  • To identify, manage, monitor, and control
    critical variables of the manufacturing process
  • Statistical expertise in process control
  • In-vitro equivalence
  • Variation between laboratories, technicians, and
    environmental conditions
  • No conventional statistics and critical values

46
Thank You For Your Interest!!!
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