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Comments on FDA Concept Paper

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Benefit-risk optimization helps and requires all stakeholders. FDA commendation for forward thinking and stakeholder involvement. Caveats ... – PowerPoint PPT presentation

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Title: Comments on FDA Concept Paper


1
Comments on FDA Concept Paper
Premarketing Risk Assessment
  • Sidney N. Kahn, MD, PhD
  • President
  • Pharmacovigilance Risk Management, Inc.
  • www.pvrm.com

2
General comments on risk management
  • Benefit-risk optimization helps and requires all
    stakeholders
  • FDA commendation for forward thinking and
    stakeholder involvement
  • Caveats
  • danger of disproportionate reaction to very small
    but visible risk
  • adoption of untried and untested methods based on
    theoretical considerations of effectiveness and
    misperceptions of risk
  • The ultimate goal is to ensure that efforts and
    costs are expended on effective processes that
    achieve a positive benefit/risk balance

3
Premarketing Risk Assessment - omission
  • Increase emphasis on data quality
  • cf. case follow-up in proposed rule on Safety
    Reporting Requirements (FR, March 14, 2003)
  • refer to quality case components defined by
    CIOMS-V

4
Trial size acute use / serious conditions
  • Impossible to generalize for unspecified safety
    analyses
  • quantitative analysis of prespecified safety
    endpoints with known study population background
    rate
  • dependent on patient population, trial design,
    type of comparator
  • Recommendation
  • continue current ad hoc safety data collection
    for most trials
  • better qualitative data on individual important
    adverse events as or more important than
    quantitative information

5
Trial size chronic use
  • Most AEs of concern idiosyncratic, rare
  • If common, will be detected during development
    and usually lead to program termination
  • Low-frequency AEs, even if anticipated, unlikely
    to be detected in any reasonably sized dataset,
    including large simple safety studies (rule of
    3)

6
Subgroup analysis
  • Meaningful subgroup differences often difficult
    to demonstrate even for efficacy (single
    prespecified endpoint)
  • Proposed analyses unlikely to have power to find
    meaningful differences
  • Subgroup effects markedly different from overall
    study population likely to be detected using
    current methods
  • Continue to conduct exploratory studies in
    relatively homogenous patient subgroups, e.g.
    elderly, renally impaired

7
Detection of unanticipated interactions
  • Catch-22 anticipating the unanticipated!
  • Suggestions
  • identify existing drug usage patterns in target
    population
  • compare PK/PD of investigational agent with
    common / known interacting products
  • formal interaction studies of most
    likely/hazardous combinations
  • concomitant treatment with less obviously
    interacting products for some subjects in later
    phase III studies
  • compare incidences of AEs with clean study
    population
  • identify trends for subsequent study and
    monitoring

8
Biomarkers - caveats
  • False positive / false negative results
  • Many mild abnormalities reflect only biological
    and/or analytical variability
  • Mechanisms of common mild abnormalities not
    necessarily the same as those that lead to rare,
    severe outcomes

9
Biomarkers - suggestions
  • Consider both absolute and relative (vs.
    individual baseline) values
  • Using data from NDAs/BLAs, FDA could
  • develop criteria for optimal biomarker
    sensitivity and specificity
  • establish rates of different degrees of
    abnormality in treated and control populations
  • correlate results with documented clinical
    outcomes in clinical trials and marketed use
  • Pharmaceutical companies should allow use of
    proprietary submission data for this purpose.

10
Optimizing AE descriptions for signal detection -
I
  • Great potential merit, requires refinement
  • Current rigid adherence to verbatim term for
    codification
  • investigator misclassification e.g. abnormal
    LFTs for jaundice, acute liver failure
    without encephalopathy, coagulopathy, or jaundice
  • inconsistent clinical classification, e.g.
    similar findings reported variously as hepatitis,
    abnormal liver function, elevated
    aminotransferases and jaundice, etc.

11
Optimizing AE descriptions for signal detection -
II
  • PvRM strongly supports FDA collaboration with
    sponsors to develop harmonized term definitions
  • Ensuring consistency / minimizing subjectivity
    requires uniform approach across all sponsors and
    FDA offices and divisions cannot be done
    piecemeal / ad hoc
  • Ideally, should be internationally agreed /
    acceptable to regulatory authorities in other
    jurisdictions
  • Limited number of definitions developed
    (Reporting Adverse Drug Reactions Definitions
    of Terms and Criteria for Their Use CIOMS,
    Geneva, 1999).

12
Additional viewpoint CIOMS-VI (working draft)
  • Events of critical importance consistently
    defined using standard criteria (e.g. acute liver
    failure), or in consultation with appropriate
    experts
  • Describe definitions and requirements for use of
    particular terms in protocol and product safety
    plan
  • Rarely, overrule investigators diagnosis for
    analysis if clearly erroneous document reason,
    maintain original verbatim for audit, show both
    terms in study AE tables
  • If not reported, assign probable diagnosis when
    signs, symptoms, and/or treatment strongly
    suggest a defined syndrome (e.g. chest pain,
    elevated CK, acute thrombolytic treatment
    myocardial infarction)

13
Thank you
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