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Premarketing Risk Assessment Special Conditions

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Too slow and too fast could both be problems. Risk ... Immunogenicity, neutralizing Abs. For live agents-virulence, transmissibility, genetic stability ... – PowerPoint PPT presentation

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Title: Premarketing Risk Assessment Special Conditions


1
Premarketing Risk AssessmentSpecial Conditions
  • Robert J. Temple, M.D.
  • Associate Director for Medical Policy
  • Center for Drug Evaluation and Research
  • Food and Drug Administration

2
Background
  • Youve already heard a discussion of some of the
    most important general issues in pre-marketing
    assessment, including
  • The size of the safety data base and
    characteristics of the drug and its effects, its
    proposed use, and the intended population that
    could affect the size
  • Characteristics of an ideal safety data base,
    including adequate duration, a diverse
    population, and better dose-response information
    than we typically see. The last is particularly
    important for drugs with a high rate of
    drug-induced adverse effects or biomarkers of
    injury (CPK, TA, UA, K changes)

3
Background (cont.)
  • A good search for individualization factors,
    such as drug-drug interactions, drug-demographic
    relationships, and drug-disease relationships,
    including routine population PK
  • Comparative data when it would be particularly
    important

4
Special Considerations
  • Evaluation of safety has some general principles,
    but as the paper indicates, that doesnt mean one
    size fits all. In planning and monitoring
    development there needs to be constant attention
    to results of animal and human data, to
    suggestions of problems, and to population and
    drug-specific features that raise special
    concerns. When these occur, plans need to be
    modified.
  • The concept paper identifies some of these

5
Special Considerations
  • 1. Is maintenance dose the same as the acute
    dose?
  • A. Pharmacokinetic Sometimes, long half-life
    drugs are started at high doses to get a prompt
    effect. Should the maintenance dose be lowered?
  • Astemizole. The 10 mg dose was close to the dose
    causing TdP (factor of lt2). Maintenance could
    have been 3 mg (factor of about 6-7)
  • Fluoxetine. Drug and metabolites have half lives
    well over a week. Seems likely maintenance dose
    could be lower

6
Special Considerations
  • 1. Maintenance dose
  • b. PD. Perhaps the drug induces PD changes that
    would allow lower or intermittent doses, or allow
    drug holidays. The drug could produce an
    undesired effect that might be mitigated by lower
    doses.
  • Alosetron. Observation of constipation in 30 of
    population starting with troublesome diarrhea
    suggests a back-off approach at first
    improvement might have avoided severe constipation

7
Special Considerations
  • 2. Titration It is not common for drugs that
    are titrated to have actual comparisons of
    various methods. Too slow and too fast could
    both be problems.

8
Special Considerations
  • 3. Subtle adverse effects Certain adverse
    effects are notoriously poorly studied in trials,
    such as effects on
  • sexual function
  • cognition
  • motor skills (driving)
  • mood
  • These can become major issues (SSRI sexual
    function, depression with isotretinoin) and would
    be best studied in controlled trials as soon as
    there are hints of concern. They might, e.g., be
    dose related, respond to drug holidays, etc.

9
Special Considerations
  • 4. Pediatric - specific issues This is now
    becoming clear with the explosion of peds
    studies, but children pose special issues of
    growth and neurocognitive development. It is
    also particularly useful to avoid mid-day dosing

10
Special Considerations
  • 5. Expanding the data base, the large simple
    safety study (LSSS), a study focussing on a small
    number of specified outcomes, generally with
    reduced routine data collection.
  • Not as strange an idea as it once was
  • Pre-marketing studies (gt10,000 patients) to
    evaluate a new antibiotic, a new COX-2 selective
    NSAID, and an antihypertensive (omapatrilat,
    concern about angioedema)
  • Similar studies are underway post-marketing
    (ziprasidone vs. olanzapine, salmeterol).
  • When might this be considered?

11
Special Considerations
  • 5. LSSS (cont.)
  • To evaluate a troublesome safety signal, e.g.,
    transaminitis with one or two bilirubin
    elevations, ambiguous extreme QT prolongations,
    that needs a larger database
  • When a drug is to be used for long periods in
    asymptomatic people, to assess potential
    unexpected problems
  • To evaluate a larger, less restricted population
    for potential consequences of drug-drug or
    drug-demographic interactions

12
Special Considerations
  • 6. Keep blood or other tissue samples for
    potential later pharmacogenomic evaluation
    (serious events, better responses). Need to pay
    attention to consent issues
  • Related (not in paper) is importance of
    capturing serious events and studying the
    individuals (blood levels at least). This is
    particularly emphasized in QT paper but is ok
    more general importance

13
Always Evaluated
  • Some matters always need assessment, notably
  • QTc effects
  • Evidence of hepatotoxicity
  • Polymorphic metabolism
  • Drug-drug interactions, including new ones
    (inducers, inhibitors of glucuronidation,
    P-glycoprotein inhibitors)
  • And, for biologics
  • Immunogenicity, neutralizing Abs
  • For live agents-virulence, transmissibility,
    genetic stability
  • Transplantation therapies - survival, function,
    host immunocompetence

14
Medication Error Prevention Analysis (MEPA)
  • PRE-MARKETING ASSESSMENT TO INCREASE THE SAFE
    USE OF DRUG PRODUCTS BY MINIMIZING MEDICATION
    ERRORS RELATED TO THE NAMING, LABELING, AND/OR
    PACKAGING OF THE PRODUCT

15
PRE-MARKETING ERROR PREVENTION
  • PROPRIETARY and GENERIC NAME ANALYSIS
  • for Sound and Look Alike similarities
  • Expert and/or Focus Groups
  • Verbal Orders Simulation
  • Handwritten Orders Simulation
  • Computer Analysis
  • Orthographic/Phonetic
  • Overall Risk and Benefit Assessment

16
PACKAGING
  • Analysis of the packaging for its error
    potential
  • What are the inherent risks and benefits of
    choosing or not choosing a particular drug
    delivery package (e.g. ampule vs. syringe)?

17
LABELS/LABELING
  • Labeling Analysis
  • Container label similarities within product
    line/class?
  • Similarities with other products?
  • Is Critical Information (e.g., drug name,
    strength, route of administration) clear for the
    end user?
  • Are the dosing instructions in the PI clear and
    easily understood?

18
Conclusion
  • We look forward to discussion
  • Were sure the experience of this audience can
    refine and expand the thoughts in the concept
    paper
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