be study
TRANSCRIPT
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BIOEQUIVALENCESTUDIES
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OBJECTIVE
Generic drugs are safe and effective alternatives tobrand name prescriptions
Generic drugs can help both consumers and the
government reduce the cost of prescription drugs BUT Assess the risk of bio-inequivalence If there is a risk of pharmacotherapeutic failure or
diminished clinical safety
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Reference Test
Pharmaceutical EquivalentProducts
Possible Differences
Drug particle size, ..Excipients
Manufacturing process
Equipment
Site of manufacture
Batch size .
Documented Bioequivalence= Therapeutic Equivalence
BIOEQUIVALENCE
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Pharmaceutical equivalent does not necessarilyimply therapeutic equivalence:
- difference excipients
- difference manufacturingprocess
- other variables
drugperformance?
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Therapeutic equivalent does not necessarily implybioequivalence:
- sensitivity
- different formulations (IR/CR)
- different active substance
equivalence?
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NDA VS. ANDA REVIEW PROCESS Original DrugNDA Requirements1. Chemistry2. Manufacturing3. Controls4. Labeling5. Testing6. Animal Studies7. Clinical Studies
(Bioavailability/Bioequivalence)
Generic DrugANDA Requirements1. Chemistry2. Manufacturing3. Controls4. Labeling5. Testing6. Bioequivalence Study
(In Vivo, In vitro)
Note: Generic drug applications are termed "abbreviated" because they are generallynot required to include preclinical (animal) and clinical (human) data to establish safety and effectivenInstead, generic applicants must scientifically demonstrate that their product is bioequivalent(i.e., performs in the same manner as the origina; drug).
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GENERIC DRUG: DEFINITION
Same active ingredient (s) Same route of administration Same dosage form Same strength Same indicationsCompares to reference listed drug (RLD)
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BIOEQUIVALENCE (BE): DEFINITION
the absence of a significant difference in therate and extent to which the active ingredientor active moiety in pharmaceutical equivalents
or pharmaceutical alternatives becomesavailable at the site of drug action whenadministered at the same molar dose under similar conditions in an appropriately designed
study .
CDER U.S. Food & Drug Administration
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BIOEQUIVALENCE
0
10
20
30
40
50
60
70
80
90
0 5 10 15 20 25 30
Time (hours)
C o n c e n
t r a t i o n
( n g
/ m L )
Test/Generic
Reference/Brand
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Why do we need Bioequivalence studies?
No clinical studies have been performedin patients with the Generic Product tosupport its Efficacy and Safety.With data to support similar in vivoperformance (= Bioequivalence)Efficacy and Safety
data can be extrapolated from theInnovator Product to the GenericProduct.
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WHEN DO WE DO BE STUDIES ?
Clinical Service Form to Final Market Form
Change of formulations (capsules to tablet)
Generic Formulations
Change of Process or manufacturing site (sometimes)
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Bioequivalence
Pharmaceutical equivalents:Medicinal products are pharmaceutical equivalents if they contain thesame amount of the same active substance in the same dosage form
that meet the same or comparable standard.
Pharmaceutical alternatives:
Medicinal products are pharmaceutical alternatives if they contain thesame active moiety but differ in chemical form of that moiety or in the
dosage form or strength.
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PHARMACEUTICAL EQUIVALENTS
Drug products that contain the sametherapeutically active ingredients
Contain the same salt, ester or chemical form, same
dosage form Identical strength, conc. & route of administration Differ in shape, release mechanisms, packaging &
excipients
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PHARMACEUTIC ALTERNATIVES Drug products that contain the same therapeutic
moiety but are:1. Different salts, esters, or complexes (e.g.tetracycline HCl vs. tetracycline phosphate,
erythromycin stearate vs. erythromycin estolate)2. Different dosage forms (e.g. tablet vs. cap,immediate-release vs. controlled-release)3. Different strengths (10 mg vs. 20 mg)
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THERAPEUTIC EQUIVALENTS
Pharmaceutical equivalents that can be expectedto have the same clinical effect and safety profilewhen administered to patients under the same
conditions specified in the labeling
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THERAPEUTIC EQUIVALENTS CRITERIA:
Products are safe & effective Products are pharmaceutical equivalents Meet the compedial or other applicable standards
of strength, quality, purity & identity; meetacceptable in vitro standards Bioequivalent that they do not present a known
potential problem & are shown to meet anappropriated bioequivalence standard
Drug products are adequately labeled Drug products are manufactured in compliance
with CGMP
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TYPES OF BE STUDIES
BE
studies
In vitro In vivo
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IN VIVO
Oral IR productswith systemicaction
Serious indication
Narrowtherapeutic
margin
A < 70%Presystemic E >
70%
Unfavorablephysicochemical
properties
Documented BAproblems
No relevant dataavailable
Non-oral IRproducts
Modified releaseproducts
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IN VITRO BE STUDIES
If none of the previous criteria are applicable,comparative in vitro dissolution studies will suffice.
In vitro studies can be used instead of in vivo studiesunder certain circumstances called as biowaivers(exemption)1. The drug product differ only in strength of the active
substance2. Drug product has been slightly reformulated3. Certain special requirements4. Acceptable IVIVC
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BE EXPERIMENTAL STUDY DESIGN
4 types of designs
1. Completely randomised designs
2. Randomised block designs
3. Repeated measures, cross-over and carry-over designs
4. Latin square designs
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COMPLETELY RANDOMIZED DESIGNS
Treatments are assigned to experimental unitscompletely at random.
Every experimental unit has the same probability ofreceiving any treatment.
Randomization is performed using a randomnumber table, computer, program, etc.
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EXAMPLE OF RANDOMIZATION
Given you have 4 treatments (A, B, C, and D) and 5replicates, how many experimental units would you
have?
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CRD
Advantages
Extremely easy toconstruct
Can accommodateany number oftreatments andsubjects
Easy and simple toanalyse
Disadvantages
Best suited for relativelyfew treatments
Subjects must behomogenous
Variability will inflaterandom error, making itdifficult to detectdifferences
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RANDOMIZED BLOCK DESIGNS
Subjects are sorted into homogenous groups calledas blocks on basis of similar backgrounds
Treatments are then assigned at random within theblocks
Randomization for different blocks are done
independent of each other
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RBD
Advantages More precise results
because of systematicgrouping
Accommodate anynumber of treatments
Statistical analysis is
simple Variability can be
introduced to widenthe validity of results
Disadvantages
Missing observationswithin a block requiremore complex analysis
Degree of freedom ofexperimental error arenot as large as withCRD
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REPEATED MEASURES, CROSS-OVERAND CARRY-OVER DESIGNS
It is essentially a RBD in which the same subjectserves as a block
It involves several treatments or a single treatmentevaluated at different time points
Cross-over or change-over design it involves theadministration of 2 or more treatments one after theother in a specified or random order to the samegroup of patients
Carry-over effects
potential distortion due tocarryover; residual treatments from precedingtreatments
Wash-out period is important. 10 half lives.
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CROSS-OVER DESIGN
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REPEATED MEASURES DESIGN
Advantages
Provide good precision;as all sources ofvariability are removed
Economic. Less subjectsneeded
Can observe samepatient at differenttime intervals rather than different patients
Disadvantages
Carryover effectpossible
Order effect possibledepending on order oftreatment
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LATIN SQUARE DESIGNS
It is a two-factor design i.e. subjects and treatmentswith one observation in each cell
It is useful when 3 or more treatments are to becompared and carry-over effects are balanced
Rows represent subjects and columns represent
treatments
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LSD
Advantages
Minimizes inter-subjectvariability
Minimizes carry-over effects
Minimizes variation dueto time effects
Small-scale experiment
Disadvantages Degrees of freedom of
experimental error islarge
Randomization is morecomplicated
Study takes a long time
due to wash-out period If number of
formulations to bestudied is high, subjectdrop-out rate is high
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BE STUDY PROTOCOL1 Title 4 Study population 6 Ethical considerations
a. PI a. Subjects a. Basic principles
b. Project no. and date b. Subject selection b. Institutional review board
2 Study objective i) Medical history c. Informed consent
3 Study design ii) Physical examination d. Indications for subjectwithdrawl
a. Design iii) Lab tets e. Adverse reactions andemergency procedures
b. Drug product c. Inclusion/ exclusion criteria 7 Facilities
i) Test product i) Inclusion criteria 8 Data analysis
ii) Reference product ii) Exclusion criteria a. Analytical validationprocedure
c. Dosage regimen d. Restrictions/ prohibitions b. Statistical treatment ofdata
d. Sample collection schedule 5 Clinical procedures 9 Drug accountability
e. Housing a. Dosage and drug administration 10. Appendix
f. Fasting/ meals schedule b. Biological sampling schedule
g. Analytical methods c. Activity of subjects
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STATISTICAL INTERPRETATION OF BEDATA
Statistical difference between 2 drugproducts is statistically significant if there is aprobability of less than 1 in 20 or 0.05
If p < 0.05 differences between the 2 drugproducts are not considered statisticallysignificant
ANOVA
Called as two one-sided test procedure Students t test distribution of data 90%
confidence limits are estimated (BE intervals) 90% CI means 2 drug products must be
within + 20% (i.e. 80 120%)
Confidenceinterval
approach