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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