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Stability
1. Slide 1 Walters April 2007
Training Workshop on
Pharmaceutical Development with
focus on Paediatric Formulations
Protea Hotel
Victoria Junction, Waterfront
Cape Town, South Africa
Date: 16 to 20 April 2007
Pharmaceutical Development
2. Slide 2 Walters April 2007
Pharmaceutical Development
Stability testing of Finished
Pharmaceutical Products (FPPs)
Presenter: Susan Walters
Email: susanw@netspeed.com.au
Fax: (61) 2 6281 6948 (email is preferred)
3. Slide 3 Walters April 2007
Stability testing of FPPs
Outline of presentation
We will:
ďŹReview relevant guidelines
ďŹDefine the objectives of stability testing
ďŹOutline the design & conduct of stability studies for finished
products
ďŹDetermine a shelf life based on study results
ďŹDiscuss what to include in reports of stability studies
4. Slide 4 Walters April 2007
Objectives of stability testing:
What is the purpose?
ďŹ"âŚâŚ to provide evidence on how the quality of a drug
substance or drug product varies with time under the
influence of a variety of environmental factors such as
temperature, humidity & light, & enables
recommended storage conditions, re-test periods &
shelf lives to be establishedâ
(ICH) 2003
5. Slide 5 Walters April 2007
Variables that might affect the stability of a given
API & dosage form
ďŹ Formulation
ďŹ Packaging
ďŹ Site and method of manufacture
â API
â Finished product
ďŹ Batch size
ďŹ Batch to batch variability
â The importance of process validation & quality risk management
ďŹ Container labelling
ďŹ Changes to product
6. Slide 6 Walters April 2007
Stability testing
- Development studies
- Characterise compatibility with common excipients
- Characterise stability profile of API
- Eg susceptibility to acid, base, light, oxygen etcâŚâŚ
- Characterise stability profile of early formulations
- Especially susceptibility to heat, humidity & light
- Confirmatory studies
- Long term & accelerated studies on the product as it is to be registered
- In practice design is now largely dictated by ICH guidelines
7. Slide 7 Walters April 2007
What does a regulator want to see demonstrated in the
registration dataset?
- The product maintains relevant quality
characteristics within the acceptable range:
- In proposed registration formulation & container/closure system
- For whole of shelf life
- At permitted extremes of storage
- Over all batches
- When manufactured at all registered sites (API & finished
product)
- After any changes
8. Slide 8 Walters April 2007
Relevant guidelines
ďŹ Many countries have their own guidelines concerning stability testing & other
registration topics
ďŹ But if a manufacturer wishes to market a product in several countries, it is
simpler to use one of the international guidelines, such as those of WHO &
ICH
So how widely are WHO & ICH guidelines accepted?
ďŹ Most countries will accept data generated according to ICH guidelines
ďŹ Many countries will accept data generated according to WHO guidelines, &
especially when the product in question has been prequalified by WHO
â But possibly not ICH countries
ďŹ Whilst ICH guidelines are more detailed than those of WHO, there are few
âin-principleâ differences, except in relation to testing conditions for hot &
humid climates
9. Slide 9 Walters April 2007
ICH stability guidelines - 1
ďŹQ1A(R2) Stability Testing of New Drug Substances
& Products
ďŹQ1B Stability Testing : Photostability Testing of
New Drug Substances & Products
ďŹQ1C Stability Testing for New Dosage Forms
Available via
http://www.ich.org/cache/compo/276-254-1.html
10. Slide 10 Walters April 2007
ICH stability guidelines - 2
ďŹQ1D Bracketing and Matrixing Designs for Stability
Testing of New Drug Substances and Products
ďŹQ1E Evaluation of Stability Data
ďŹQ1F Stability Data Package for Registration
Applications in Climatic Zones III and IV Withdrawn
Also available via
http://www.ich.org/cache/compo/276-254-1.html
11. Slide 11 Walters April 2007
ICH stability guidelines - 3
ďŹRemember that these have been adopted in the
European Union, the United States, and Japan
ďŹTechnically ICH guidelines apply only to new
APIs & products made from them. But most
regulators give ICH guidelines considerable
weight when deciding requirements for non-new
APIs.
12. Slide 12 Walters April 2007
WHO stability guidelines - 1
ďŹâGuidelines for stability testing of pharmaceutical
products containing well established drug
substances in conventional dosage formsâ
WHO (1996)
Available via
http://whqlibdoc.who.int/trs/WHO_TRS_863_(p1-p98).pd
Note:
â Applies to âWell established drug substancesâ
â Applies to âConventional dosage formsâ
â These guidelines are under revision : See h
ttp://www.who.int/medicines/services/expertcommittees/pharmpre
13. Slide 13 Walters April 2007
WHO stability guidelines - 2
ďŹSo what are the types of product to which WHO
guidelines (1996) do not apply?
â New chemical entities (NCEs)
⢠And possibly also new dosage forms of NCEs
â New combinations of actives
â Modified release dosage forms, including
⢠Slow release products
⢠Transdermal patches
⢠Modified release injections
14. Slide 14 Walters April 2007
Stability guidelines for WHOâs Prequalification
Program (PQP) - 1
ďŹStability testing: Section 3.11 of Guideline on
Submission of Documentation for Prequalification of
Multisource (Generic) Finished Pharmaceutical Products
(FPPs) Used in the Treatment of HIV/AIDS, Malaria &
Tuberculosis
â Available via http://mednet3.who.int/prequal/
â Are consistent with ICH guidelines
â There are extensive cross references to ICH guidelines
â Effectively the PQP text is a practical interpretation of ICH guidelines
15. Slide 15 Walters April 2007
Stability guidelines for WHOâs PQP - 2
âExtension of the WHO list of stable (not easily
degradable ARV) APIsâ
WHO (2006)
â Also available via http://mednet3.who.int/prequal/
â Read this carefully. It describes circumstances in
which a tentative 2-year shelf life may be allocated
to certain APIs & FPPs, subject to a number of
strict conditions.
16. Slide 16 Walters April 2007
Stability report formats for WHOâs PQP
ďŹAnnex 3: Model stability report of API
ďŹAnnex 4: Model stability report of
capsules/tablets
Also available via
http://mednet3.who.int/prequal/
17. Slide 17 Walters April 2007
Terminology â
adapted from ICH 2000 (1)
- Production batch:
- A batch manufactured at production scale using production
equipment & in a production facility as specified in the
registration application
- Pilot scale batch:
- A batch manufactured by a procedure âfully representative
of & simulatingâ full production scale. For tablets & capsules,
this means 100,000 units or 1/10th
of production scale,
whichever is the larger
18. Slide 18 Walters April 2007
Terminology â
adapted from ICH 2000 (2)
ďŹRe-test period: API
â The period of time for which the API remains within
specification when stored under the recommended conditions in
the proposed bulk storage container
â âAfter this period, the batch should be retested for compliance
with specifications & then used immediatelyâ [if in compliance]
19. Slide 19 Walters April 2007
Terminology â
adapted from ICH 2000 (3)
- Accelerated testing
- Studies designed to increase the rate of chemical degradation or physical
change by means of exaggerated storage conditions
- Intermediate testing
- Studies at 30degC/60%RH, intended for extrapolation to long term storage at
25degC [provided that 25degC is appropriate for the market in question]
- Stress testing
- API: Studies which elucidate intrinsic stab of API. Normally during development.
Normally more stressful than âacceleratedâ testing.
- Finished product: Studies of effect of âsevereâ conditions. Eg freeze/thaw cycling
for suspensions & emulsions, low humidity for aqueous liquids in moisture-
permeable containers.
20. Slide 20 Walters April 2007
Terminology â
adapted from ICH 2000 (4)
ďŹIn-use stability testing:
â Establishes the âperiod of time during which a multidose
product can be used whilst retaining quality within an
accepted specification once the container is openedâ
ICH 2000
⢠For example:
â liquids that are reconstituted prior to use
â effervescent tablets in a moisture-proof container (eg Al screw-
cap tube)
â ophthalmic products (especially with respect to preservative
efficacy)
21. Slide 21 Walters April 2007
Terminology â
adapted from ICH 2000 (5)
ďŹClimatic zones:
â Partition of the world into three temperature classes based on
kinetic averaging of monthly temperatures, & subdivision of
the hottest class into predominantly wet or predominantly dry
â Zones (Futscher & Schumacher 1972):
⢠I Temperate (21o
C/45%RH)
⢠II Subtropical (25o
C/60%RH with possibly high RH)
⢠III Hot & dry (30o
C/35%RH)
⢠IV Hot & wet (30o
C/70%RH)
â The temperatures above are kinetic averages
22. Slide 22 Walters April 2007
Extract of WHO Technical Report Series 937
Expert committee on specifications for pharmaceutical preparations
(2006): Quality assurance: Stability testing conditions
âThe Secretariat reminded the Committee that the WHO guidelines had
been revised in the light of harmonization efforts in collaboration with
ICH. Subsequently focus had been placed within regional
harmonization initiatives on the recommendations for hot and humid
conditions (referred to as Zone IV). After extensive discussion the
Committee reached consensus that the WHO stability guidelines be
amended to reflect conditions for Zone IV as follows:
â Zone IVa (30 degrees Celsius and 65% relative humidity); and
â Zone IVb (30 degrees Celsius and 75% relative humidity).
It was agreed that each individual Member State within the former
Zone IV would need to indicate whether its territory should be
classified as Zone IVa or IVb.â
23. Slide 23 Walters April 2007
ConsequentlyâŚ
ďŹEach nation within zone IV must now
decide whether to adopt a stability test
condition of
â 30o
C & 65%RH, or
â 30o
C & 75%RH
ďŹASEAN nations & Brazil have adopted 30o
C
& 75%RH
24. Slide 24 Walters April 2007
Terminology â
adapted from ICH 2000 (6)
Reduced study designs:
- Bracketing
- A design in which only the extremes are tested
at all time points, eg strength, pack size,
container fill
- Matrixing
- Designs in which a selected subset of samples
is tested, eg different strengths,
container/closure systems, batches
25. Slide 25 Walters April 2007
Example of a bracketing design
T = Sample is tested
Strength 50mg 75mg 100mg
Batch 1 2 3 1 2 3 1 2 3
15ml T T T T T T
100ml
Container
size
500ml T T T T T T
26. Slide 26 Walters April 2007
Example of a matrixing design
âOne half reductionâ
T = Sample is tested
Time point (months) 0 3 6 9 12 18 24 36
Batch
1
T T T T T T
Batch
2
T T T T T TS1
Batch
3
T T T T T
Batch
1
T T T T T
Batch
2
T T T T T T
Strength
S2
Batch
3
T T T T T
27. Slide 27 Walters April 2007
When might bracketing & matrixing be appropriate?
(NB The following is not from ICH ! You must argue the case!)
- Container size?
- Batch size?
- Formulation of coating?
- With varying amounts of an excipient (eg starch, Mg
stearate)?
28. Slide 28 Walters April 2007
The risk associated with bracketing & matrixing
- If the results are not what you expected, you
may have insufficient to propose an
intermediate shelf life
- Would be risky to use bracketing & matrixing if
you did not have a good idea as to what the
productâs stability will be
- Consequently: Bracketing & matrixing designs
are used mainly for confirmatory studies
29. Slide 29 Walters April 2007
ICH minimum dataset at submission - 1
Â
General case
Study Storage condition
Minimum time period covered
by data at submission
Long termÂ
25o
CÂ Âą2o
C/60%RHÂ Âą5%RHÂ orÂ
30o
CÂ Âą2o
C/65%RHÂ Âą5%RHÂ
12Â monthsÂ
Intermediate 30o
CÂ Âą2o
C/65%RHÂ Âą5%RHÂ 6Â monthsÂ
Accelerated 40o
CÂ Âą2o
C/75%RHÂ Âą5%RHÂ 6Â monthsÂ
Â
ICH: âIt is up to the applicant to decide whether long term stability studies are
performed at 25o
C Âą2o
C/60%RH Âą5%RH or 30o
C Âą2o
C/65%RH
Âą5%RH.â
Â
PQP: âUnless otherwise justified, 30o
C Âą2o
C/65%RH Âą5%RH is the real-time
condition for the prequalification project.â
And: The minimum time period for intermediate storage is 12 months.
30. Slide 30 Walters April 2007
ICH minimum dataset at submission - 2
Â
ďŹFPPs packaged in impermeable containers need not be
stored under controlled humidity conditions
ďŹThere are different minimum conditions for:
â Liquid products packaged in semi-permeable containers
[relating to potential loss of solvent]
â Products intended for storage in a refrigerator, freezer or deep-
freeze
31. Slide 31 Walters April 2007
Classes of degradation
- Chemical
- Physical
- Microbiological
32. Slide 32 Walters April 2007
Chemical degradation
Has been dealt with by Dr Elder
33. Slide 33 Walters April 2007
Physical degradation
(⥠physicochemical degradation)
- Physical properties can change too!
- Important attributes vary with dosage form
- Bottom line is relevance to quality, safety & efficacy
- Examples for liquid formulations:
- Appearance, colour, odour, pH, clarity (solutions) and freedom from visible particulate
contamination, size range of particulate contamination (large volume parenterals),
particle size distribution (suspensions), micelle size distribution (micellar solutions),
resuspendability (suspensions), viscosity, moisture content (powders for reconstitution),
phase separation (emulsions)
- See other examples at http://www.tga.gov.au/pmeds/argpmap14.pdf
34. Slide 34 Walters April 2007
Other forms of physical deterioration may include:
- Leaching
- Absorption (into container walls)
- Adsorption (on to container walls)
- Volatilisation (eg sertraline base, glyceryl trinitrate)
- Altered particle size distribution
- Loss of higher order molecular structure (normally
only for biological medicines)
- Denaturation
- Aggregation
35. Slide 35 Walters April 2007
Minimising physical deterioration
- Some examples:
- When prone to adsorption on to, or absorption into,
packaging materials, use resistant packaging
materials, such as good quality glass
- When prone to volatilisation:
- Use a non-volatile salt (if possible)
- Use packaging materials that are resistant to vapour transfer
- When prone to altered particle size in suspensions:
- Formulate a continuous phase in which the active is less soluble
36. Slide 36 Walters April 2007
ďŹProliferation of microbes in non-sterile products
ďŹConsequences may include:
â Infection of the patient
â Formation of endotoxins (⥠pyrogens)
â Foul odour
- Formation of gas
- Change in colour
- Cloudiness
- Hydrolysis
Microbiological deterioration
37. Slide 37 Walters April 2007
Minimising microbiological deterioration of non-
sterile products
- Control the microbial load of API &
excipients
- Validate & monitor manufacturing
conditions
- Include antimicrobial preservatives in
formulations
- NB Normally only bacteriostatic & not bactericidal
38. Slide 38 Walters April 2007
Appropriate tests for stability studies - 1
- Normally test same attributes as for routine
QC
- May use other methodology for stability testing
(avoid for dissolution rate) but must be
validated
- Avoid changing methodology mid-study
(unless correcting a clear deficiency)
39. Slide 39 Walters April 2007
Appropriate tests for stability studies - 2
- Quantitate degradation products if possible, even if
the assay is specific for the API
- But can be difficult to quantitate impurities if there are no
reference standards & relative response factors are
unknown â semiquantitative estimates
- Regulatory authorities usually expect an approximate
mass balance
- Appropriate physical tests vary with dosage form.
- Remember to conduct preservative efficacy tests
too, in addition to assay of any antimicrobial
preservative
40. Slide 40 Walters April 2007
For all stability studies
ďŹValidate the analytical methodology!
â See relevant guidelines, especially:
⢠Validation of analytical procedures: Terminology
â ICH Q2B 1994
⢠Validation of analytical procedures: Methodology
â ICH Q2B 1996
ďŹUse stability-indicating assays
41. Slide 41 Walters April 2007
Dissolution rate
- Avoid using a method different to that in routine
QC
- Most regulatory authorities, including PQP, prefer
dissolution profiles rather than single time points
during stability testing. Better ability to detect
trends.
42. Slide 42 Walters April 2007
Frequency of testing during a stability study - ICH
ďŹ âFor long term studies, frequency of testing should be
sufficient to establish the stability profile of the
pharmaceutical productâ
ďŹ âFor products with a proposed shelf life of at least 12 months,
the frequency of testing in the long term storage condition
should normally be every 3 months over the first year, every 6
months over the second year, & annually thereafter
throughout the proposed shelf life.
ďŹ Other frequencies are suggested for accelerated &
intermediate storage conditions.
ďŹ ICH 2003
43. Slide 43 Walters April 2007
Some notes concerning reporting (1)
- It is rarely appropriate to cite only average results
- For the benefit of the manufacturer & the DRA
- Dissolution results on individual tablets (not only mean results)
- Itâs certainly OK to cite mean & derived results as well
- Assay results should be reported as absolute values
- And not only as values normalised for initial results, ie % of initial
- Test methods must be recorded with the study report
- By the time that stability studies are conducted on finished product, is possible that
more than one method has been used
44. Slide 44 Walters April 2007
Some notes concerning reporting (2)
- Numerical results should be provided wherever possible
- Not just âcompliesâ
- If results are below the limit of quantitation, they should
be reported as âbelow LQCâ or similar wording
- âNot detectableâ is acceptable provided it is defined & reasonable
- Results that are out of the ordinary should be discussed
- Product labelling should be consistent with stability data.
For example:
- Solvents for reconstitution
- Recommendations for mixing of injections with other injections
45. Slide 45 Walters April 2007
Evaluation / Interpretation of the results
So whatâs the shelf life?
46. Slide 46 Walters April 2007
First point
ďŹThe validity of an assigned shelf life
depends upon:
- The results of stability studies, &
- Whether the batches used in the stability
studies accurately model those to be
marketed, &
- Whether analytical methodology was
adequately validated
47. Slide 47 Walters April 2007
Assigning a shelf life
ďŹAssigning a shelf life is easier if results are available:
- For the full duration of the proposed shelf life
- At the maximum recommended storage conditions
- For all formulations & manufacturing methods
- In exactly the packaging to be registered
- At all sites of manufacture of finished product & API
ďŹIf these conditions are not met, thatâs when shelf life
assignment becomes difficult.
â There will be arguments between manufacturers &
registration/prequalification authorities
â There will be delays in approving the product
48. Slide 48 Walters April 2007
ďŹ âWhere the data show so little degradation & so little variability
that it is apparent from looking at the data that the requested
shelf life will be granted, it is normally unnecessary to go
through the formal statistical analysis but only to provide a
justification for the omissionâ
ďŹ ICH 2003 & PQP 2005
Statistical estimation of shelf life - 1
In other words: If it is blindingly obvious that there is minimal
change in the parameter in question, is unnecessary to
conduct the numerical/statistical analysis.
49. Slide 49 Walters April 2007
Statistical estimation of shelf life - 2
ďŹâAn approach for analyzing data of a quantitative
attribute that is expected to change with time is to
determine the time at which the 95% one-sided
confidence interval for the mean curve intersects the
acceptance criterionâ
ďŹ ICH 2000
50. Slide 50 Walters April 2007
Statistical estimation of shelf life - 3
Is there any degradation of any relevant product
characteristic?
⢠If no, then shelf life assignment is straightforward based on the labelled
storage conditions & the time for which testing has been conducted
⢠If yes (that is there is at least some degradation/change):
⢠Conduct a statistical analysis using a suitable software package
⢠Consider:
ď Statistical pooling of results for multiple batches
ď Estimation of time to degrade to expiry limits using a 95% confidence interval
⢠See the file concerning software packages
â NB I am not recommending any of these software packages!
â Conduct your own Internet search! Then evaluate cost against usefulness to
your company.
51. Slide 51 Walters April 2007
Statistical estimation of shelf life - 4
Superimposition of a 95% confidence interval on to the
regression line for stability data from Bolton 1984
NB This is an old graph & it describes a very unstable product
52. Slide 52 Walters April 2007
What are the limitations of this statistical
algorithm?
- It applies only to quantitative attributes
- Does not apply for example to colour tests, or to semiquantitative
comparisons such as TLC limit tests
- It may be unreliable for physical attributes
- Such as dissolution tests & discoloration
- Use your judgement! Look at the slope of the curve.
Does the change accelerate with time?
53. Slide 53 Walters April 2007
ďŹâAny evaluation should consider not only the assay
but also the degradation products & other appropriate
attributesâ
ďŹICH 2003
Estimation of shelf life
In other words: If evaluation of different (but relevant) attributes leads to
different conclusions as to shelf life, the shortest of these shelf lives
should be chosen.
54. Slide 54 Walters April 2007
ďŹâWhere appropriate, attention should be paid to
reviewing the adequacy of the mass balance &
different stability & degradation performanceâ
ďŹ ICH 2003
Estimation of shelf life
â In other words: If the loss of active is not of the same order
(=approximately the same) as formation of degradation products, more
investigation is needed.
â Note however that mass balance will always be approximate; it is
rarely exact.
55. Slide 55 Walters April 2007
Factors to be taken into account when assigning a
shelf life based on statistical analysis - 1
- Release limits
- Expiry limits
- Results of stability studies
- Is there any desired safety margin?
- This is largely a matter for the manufacturer/supplier
56. Slide 56 Walters April 2007
Factors to be taken into account when assigning a
shelf life based on statistical analysis - 2
ďŹA batch may be released with a result anywhere
in range of release limits
ďŹConsequently a prudent manufacturer will take
into account the lower limit of release when
estimating shelf life
57. Slide 57 Walters April 2007
Combining results for several
batches
Poolability
58. Slide 58 Walters April 2007
Poolability of multiple batches
ď§ A statistical concept that allows the results for several
batches to be combined
ď§ If we estimated stability based on results for individual
batches, we would have to select the shortest estimate
of shelf life
ď§ Pooling usually leads to a longer shelf life as compared
with the results for one batch only
ď§ But we must first test whether the batches can
legitimately be pooled
ď§ Are the batches statistically homogenous?
59. Slide 59 Walters April 2007
Testing for poolability as described by Bolton 1997
Perform statistical
test for common slope
Perform statistical test
for common intercept
Use common slope &
common intercept
Use separate slope
& intercept for each
batch
Use common slope but
separate intercepts
Significance is on the basis of F tests (p>0.25) as modelled by Bolton 1997
Significantly
different
Significantly
different
Not significantly
different
Not significantly
different
60. Slide 60 Walters April 2007
Extrapolation beyond real-time data - 1
ďŹ âLimited extrapolation of the real time data from the long
term storage condition beyond the observed range to
extend the shelf life can be undertaken at approval time, if
justified. This justification should be based on what is
known about the mechanisms of degradation, the results of
testing under accelerated conditions, the goodness of fit of
any mathematical model, batch size, existence of
supporting stability data, etc. However, this extrapolation
assumes that the same degradation relationship will
continue to apply beyond the observed data.â
ďŹ ICH 2000
61. Slide 61 Walters April 2007
Extrapolation beyond real-time data - 2
ďŹâIf long term data are supported by results from
accelerated studies the retest period/shelf life
may be extended beyond the end of the long-
term studies. The proposed retest period or
shelf life can be up to twice, but should not be
more than 12 months beyond, the period
covered by long-term dataâ. â
ďŹPQP 2005
62. Slide 62 Walters April 2007
References
References in your CD may be useful:
- Regulatory guidelines
- Sources of climate-controlled cabinets
- Software for processing stability data
- Most include laboratory information management for the
data
63. Slide 63 Walters April 2007
Pharmaceutical Development
Summary and conclusion
ďŹStability data submitted during the registration process
should confirm that all batches of the FPP will remain
of acceptable quality when stored in the marketing
container, at the most extreme storage conditions
permitted by container labelling & prescribing
information, for the duration of the shelf life
ďŹAny subsequent variations (for example to site or
method of manufacture of the API or FPP) should be
shown not to reduce the shelf life as defined above
Editor's Notes
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Accelerated testing:
Intended to allow extrapolation of conditions at max recd storage conditions
Or to âevaluate effect of short term excursions outside label storage conditionsâ
Intermediate testing:
Relevant if want to label product as âStore below 25degCâ.
Stress testing:
For API, means devt studies
Examples of stress tests for finished product might be cycling temps (eg emulsions, creams), refrigeration for liquids which are or might be stored at low temp. Not sure what is referred to for mdis â FDA mentions possibility of testing at 25degC/75%RH for 1/3 of shelf life if moisture resistant packaging needed (?dpis).
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Zones originally proposed by Futscher & Schumacher
Grimm subsequently elaborated mean annual %RH and kinetic temps for world regions based on meteorological data.
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Reduced study designs:
ICH emphasises:
Bracketing not applicable to APIs
Matrixing has âlimited utilityâ
Are risks involved in conducting reduced study designs, and must justify use in each case
In general, I suspect that ICH is implying (but not actually stating) that bracketing and matrixing is appropriate when there is a reasonable expectation that there will be no significant change.
Bracketing:
Assumes that intermediate conditions (ie those not tested) are intermediate in all respects.
Eg if test different cap strengths, that all strengths are made from same granulation with different compression weights.
Matrixing:
I would add that can matrix temps, but ICH does not specifically mention that so might not get through TGA
Fff
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
This is an example of a bracketing design. The table was taken from the current ICH draft entitled âBracketing and matrixing designs for stability testing of new drug substances and productsâ.
In this design, 12 sets of tests are conducted at each time point instead of 15.
Intermediate strength does not have to be same formulation, so long as is all ingredients in the intermediate strength are intermediate in proportion between upper and lower strengths.
As we said earlier today, these designs do carry a risk in that if one element of the design shows instability, may be left with a very incomplete dataset. For example if the 50mg strength showed instability, have no acceptable data on the 75mg strength either.
I have seen cases of instability of a strength at one end of a range, even with tablets. So prudence would suggest would not undertake this design unless already have some data on these or related formulations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
A number of matrix designs are tabulated in the ICH guideline, of which this is one.
ICH describes this as a âMatrixing design on time points for a product with two strengths; One-half reductionâ.
Describes a product for which three batches of each strength have been put on test.
Samples of every strength and batch are tested at the beginning and at the end of the study, and at the 12 months time point.
At the intermediate time points, only half of the samples are tested.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
EXERCISE
What are some other situations in which bracketing and matrixing may be appropriate?
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
EXERCISE
What are some other situations in which bracketing and matrixing may be appropriate?
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
If you think you have seen this table before, you have. It is identical to the one for APIs.
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
If you think you have seen this table before, you have. It is identical to the one for APIs.
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
Avoid using a method different to that in routine QC (less critical for assay during dissolution test)
Very difficult to interpret results in terms of compliance with specifications over time, if for example the rotation speed is different to that in routine QC
TGA has preference for dissolution profiles rather than single time points, even for IR products
Certainly provides more information than single point tests
Is a requirement for prolonged release products
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
ICH requirements are the minimum.
More frequent testing, especially in early stages, allows earlier detection of a problem.
See the sensible TGA comment (from 1970s and in 1994 AGRD)
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Is rarely appropriate to cite only average results
hides information
For benefit of your company & the DRA
Eg dissolution results on 6 tablets
By all means cite mean & derived results too (eg std dev)
Assay results should be reported as absolute values (and not only as values normalised for initial results, ie % of initial)
By all means provide percent of initial as well
Record test methods
By the time that stability studies ar conducted on finished product, likely to be > one method that could have been used
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Give numerical results wherever possible
ie not just âcompliesâ
If results are below limit of quantitation, report as âbelow LQCâ or similar wording
Results that are out of the ordinary:
Eg discolouration of a tablet
May need further investigation
Pre-empt questions from regulator
Avoid embarrassing qns years after the event
Check product labelling for statements relevant to stability results, & ensure data have been provided - Eg
Solvents for dilution (example of soluble hydrochloride that was recommended for dilution in 0.9% NaCl). On conducting the study, drug precipitated out of solution. HClde was not as soluble as manufacturer had thought â had not done calculations.
Recommendations for mixing with other injections
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Give numerical results wherever possible
ie not just âcompliesâ
If results are below limit of quantitation, report as âbelow LQCâ or similar wording
Results that are out of the ordinary:
Eg discolouration of a tablet
May need further investigation
Pre-empt questions from regulator
Avoid embarrassing qns years after the event
Check product labelling for statements relevant to stability results, & ensure data have been provided - Eg
Solvents for dilution (example of soluble hydrochloride that was recommended for dilution in 0.9% NaCl). On conducting the study, drug precipitated out of solution. HClde was not as soluble as manufacturer had thought â had not done calculations.
Recommendations for mixing with other injections
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
Unfortunately manufacturers are not always in the position of having exactly this information
Especially generic manufacturers who may have decided to develop and register the product in the last year.
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
Most pharmaceuticals are complex systems in which kinetic equations do not apply.
FDA (and now ICH) addressed this by suggesting a numerical estimation of trends, ie not predicated on kinetic equations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Most pharmaceuticals are complex systems in which kinetic equations do not apply.
FDA (and now ICH) addressed this by suggesting a numerical estimation of trends, ie not predicated on kinetic equations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
This is a graph of assay of a product against time at a given storage condition.
-Taken from FDA guideline of 1987
Shows 95% confidence interval for loss of active after least squares regression
Program for calculation is on FDA website:
www.fda.gov/cder/sas/index.html
Less reliable for deterioration of physicochemical properties, which can show non-linear changes, eg sudden deterioration such as formation of a precipitate.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Most pharmaceuticals are complex systems in which kinetic equations do not apply.
FDA (and now ICH) addressed this by suggesting a numerical estimation of trends, ie not predicated on kinetic equations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
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नाŕ¤ŕ¤Źŕ¤° 3, 2015
Safety margin?
Bracketed because not a regulatory requirement
A prudent manufacturer may wish to incorporate a safety margin intothe estimate of shelf life.
Minimise possibility of recalls, with attendant publicity
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
A batch may be released with a result anywhere in range of release limits.
So starting point for that calculation is lower limit of release
Applies to all tests
Eg impurities, content of preservative
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Most pharmaceuticals are complex systems in which kinetic equations do not apply.
FDA (and now ICH) addressed this by suggesting a numerical estimation of trends, ie not predicated on kinetic equations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Most pharmaceuticals are complex systems in which kinetic equations do not apply.
FDA (and now ICH) addressed this by suggesting a numerical estimation of trends, ie not predicated on kinetic equations.
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
<number>
नाŕ¤ŕ¤Źŕ¤° 3, 2015
Defined âIn-useâ stability earlier today.
EXERCISE:
What other examples might there be of in-use stability that should be addressed in stability studies?
[Possible answers:
-Pdr for injn reconstituted before use
-Mixing of injectable with LVPs
-Heating of injectable with solid particles before use (see fluorouracil injection DBL âIf a ppt has formed as a result of exposure to low temperature, redissolve by heating to 60degC accompanied by vigorous shaking. Allow to cool to body temperature prior to useâ. )
Antibiotics po lqds for reconstitution by a pharmacist prior to use
Issue of separate labelling after reconstitution]