FDA Risk Assessment Principles for the Product Quality Initiatives

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    Risk Assessment

    Principles for the

    Product QualityInitiatives

    H. Gregg Claycamp, Ph.D., CHP

    Center for Veterinary MedicineOffice of New Animal Drug [email protected] 25, 2003

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    Outline

    Overall Premise and Questions

    Basics of Risk Analysis

    Possible Stages of Risk Assessments for PQ

    Initiatives

    Risk Ranking Model for a PQ Initiative?

    Pilot Scale

    Conclusions

    The opinions and ideas presented here are those of the author and do not

    represent policy or opinion of the FDA. This material is intended for

    discussion purposes only.

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    Premise: Links Among Process (GMP)Risks and Patient Risks are Lost

    RISK

    P

    rocessInspection

    Risks

    cGMP

    RISK

    Quality(Pa

    tient)

    Factors

    Patient

    Corr

    elations?Models?

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    Goal: Re-Link cGMP (PQ) Risks with Actual

    Risks to the Patient

    RISK

    Pro

    cessInspection

    Risks

    RISK

    Quality(Patient)

    Factors

    cGMP Patient

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    5

    The Question

    Can Risk Management theory, tools, practice andphilosophy be employed to re-link risks to the patientwith the risks identified, perceived or otherwise

    implicated in product quality terms?

    How can we share a common language about risk, riskmanagement,and science-based decision making so that

    we can focus on developing a high-quality riskmanagement model for product quality?

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    Getting Started

    What theories, tools and lessons learned in riskanalysis can help address these questions?

    Given the need for a significant shift in the

    approach to risk management, how do we beginthe change process?

    Are there off-the-shelf models and tools thatmight be used, i.e., at a pilot-scale?

    What kinds of RM processes can be used tofoster changes needed both the regulatoryand industrial spheres?

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    Basic Risk Analysis

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    Starting with the Some Basics

    Riskis intuitive and familiar to everyone, yet few

    among us define risk carefully and formally

    enough for complex risk analysis.

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    Risk = exposure to a chance of loss(or, Risk = chance of losing something

    we value)

    Risk = Hazard x Exposure

    RiskConsequence = Hazard x Exposure

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    Contemporary Risk Analysis

    Includes four major activities:

    Hazard Identification

    Risk Assessment

    Risk Management

    Risk Communication

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    Risk Assessment Precedes Risk

    Management

    Risk assessment is not a single process, but a

    systematic approach to organizing and analysing

    scientific knowledge and information to support a riskdecision. NRC (1994)

    Various paradigms exist for the execution of a risk

    assessment in public health; however, all paradigmshave in common fundamental scientific principles.

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    Risk Assessment Asks:

    What can go wrong?

    What is the likelihood it would go wrong? What are the consequences?

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    Risk Management Asks:

    What can be done?

    What options are available?

    What are risk trade-offs in terms of risks,benefits and costs?

    What are the impacts of currentmanagement decisions on future options?

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    Roles/Tasks (--short list)

    Pose the risk question.

    Charge the RiskAssessors with the RiskAssessment Task.

    Convene stake holders.

    Analyze decision options. Make/recommend the

    decision.

    Identify data and gatherinformation on the nature,

    extent, magnitude anduncertainty of the risk.

    Write the RiskAssessment.

    Recommends changes toRM questions.

    Risk Managers Risk Assessors

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    Risk Assessments

    Regulatory PolicyRisk Assessment: (e.g.,Biotechnology RA to determine the need for riskmanagement regulation.)

    Applied Risk Assessment: To determinecompliance with a regulation or policy.

    Safety Assessments: Highly defined riskcalculations. Usually under a bright line safetypolicy.

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    Safety vs. Risk

    Risk Limit

    e.g., Limit exceeded

    10 times in 100

    Safety Limit

    UnsafeSafe

    e.g., Declared unsafe

    Estimates of risk

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    Risk Analysis in a Democracy

    Risk assessmentsprovide the facts for riskanalysis.

    Risk

    Risk

    Risk

    Risk

    RiskRisk

    RiskRisk

    Assessment

    Risk

    Risk

    Risk

    Risk

    Risk

    Risk

    Risk

    Wors

    t

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    Risk Analysis in a Democracy

    The risk managementdecisions about whichrisks to manage are value-laden decisions.

    Risk

    Management

    Risk

    Risk

    Risk

    Risk

    RiskRisk

    Risk

    Risk

    Risk

    Risk

    Risk

    Risk

    Risk

    Risk

    Values

    Costs

    Wors

    t

    RiskM

    an

    ag

    emen

    t

    Rank

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    Translating Risk Analytic Paradigms

    Risk Analysis

    Risk Assessment

    Release Assessment

    Exposure Assessment

    Consequence Assessment

    Risk Estimation

    Risk Management

    Risk Communication

    Hazard Identification

    What can go wrong? What are the consequences?

    What is the likelihood that it

    would go wrong?

    What can be done?

    What are the trade-offs in termsof costs, benefits and risks?

    What is the impact of decisions

    on future RM options?

    Risk Assessment

    PQ Failures

    Exposure Assessment

    Consequence Assessment

    Risk Estimation

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    Possible Stages of RiskAssessment for WorkPlanning

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    Hazard Identification

    What can go wrong? Identify hazards: events

    Identify hazardous agents (chemical, biological,physical)

    How severe are the potential consequences?Given the event occurs, is the consequence

    catastrophic? Mildly annoying?

    How likely are the events to occur? Essentially a crude risk estimate for initial prioritization

    purposes.

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    Exposure Assessment

    Release Assessment: How much of thehazardous event occurs?

    Example: Does a non-sterile event involve 1

    or 10,000 vials?

    Pathway analysis: If the hazardous eventoccurs, what pathways are there that expose

    humans to the hazard?

    Extent of exposure: If a hazardous event occurs,how many people are potentially exposed?

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    GMP Failure (Release) Assessment

    How frequent are the identified PQ events(hazards)?

    Boundary of release? Process line, plant,warehouse, distributor?

    Release rates (PQ Faults) are obtained in fault

    tree assessments, empirically, historical data,

    expert analyses.

    Example: FMEA

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    Consequence Assessment*

    Given exposure to the hazardous event/agent,what is the likelihood of harm under a pre-defined endpoint?

    Endpoint examples: Death Illness

    Worry

    OAI

    *A.K.A. Dose-Response Assessment (see next slide)

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    Consequence Assessment

    Quant i tyof contamination (non-sterility)

    i.e., in bacteria counts per vial

    P

    roportionofex

    posed

    personswhobec

    omeill

    100%

    50%

    0%ED50

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    Qualitative Consequence Assessment

    High

    Medium

    LowRelativeEffect/Impact

    Quantitative

    relationships knownin fewcases

    Low Medium High

    (Exposure or Dose Metric)

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    Risk Estimation

    Bring together the information about

    the hazard,

    the extent of exposure to the hazard,

    the consequences of exposures, and then

    estimate the risk.

    Includes a critical analysis ofuncertainty inboth the data and risk assessment models.

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    Uncertainties in Risk Assessment

    Knowledge Variability

    Data

    Parameters

    Model

    Temporal

    Spatial

    Inter-individual

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    Conceptual Models for

    RM in PQ Initiative

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    The PQ Risk Management Problem

    Diverse PQ failure (hazards) are identified.

    Wide-ranging risk (= chance that exposure to thehazard will result in harm [adverse outcome]).

    Wide-ranging consequences (death to worry).

    Quantitative risk analysis hazard-by-hazard toovast an undertaking.

    Ranking of risks for re-linking worst PQ riskswith worst health risks, etc.

    How can we ob ject ively rankapples and oranges among the

    potatoes and beans?

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    From the Beginning

    Is risk analysis for each hazard

    independentlyfeasible?

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    Bulb

    Fails

    Noelectricity

    Power Plant

    Fails

    Power Line

    Fails

    GlassBroken

    FilamentBroken

    Connector

    Corroded

    VacuumLeak

    Tree BreaksLine

    Wind BreaksLine

    Impurities Vibrations

    Fault Trees for each process?

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    Faults Magnified N-fold for a Simple

    Manufacturing Process

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    Decision Analyses for Each Hazard MultipliesComplexity!

    e.g.,

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    Solution? A Multifactor Approach to PQ

    Risk Management Multifactor methods already exist.

    Some tools (software) already developed.

    Appropriately-scaled approach to

    the question,

    the data quality, the nature of the decision, and

    the understanding of the overall process.

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    State the Assumptions

    E.g., assume that health risks were linked toPQ compliance risks previously, i.e., thehistorical basis of regulation.

    Historically based assumption:compliance Health riskquality

    Given the assumption, can GMP compliance

    risk be modeled as a surrogate of health risk?

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    Identify the PQ Failures (Hazards)

    What can go wrong?

    Top level organization of hazards:

    Health | Compliance | Resources | Sociopolitical

    Second level (detail) organization:

    Sterility (microbial contamination)

    Dose (formulation)

    Toxicity (chemical contamination)

    Physical hazards (physical contamination/defect)

    Fine detail: risk factor event descriptors.

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    Sort the Hazards/Risks by Major

    Categories Start with assumptions.

    State questions to be answered.

    Sort under the questions. Re-sort if new patterns emerge.

    For example, (next slide)

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    Risk

    Health Compliance Resource

    Death

    Chronic Illness

    Acute Illness

    Mental Health

    VAI

    OAI

    Human

    Inspection $

    Socio-Political

    Public

    Industry

    The Hill

    Organizing a Multi-factorial Risk Model

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    Risk factors for a given endpoint

    Health

    Death

    Sterility

    Lyophilization

    Final Sterility

    etc.

    Compliance

    OAI

    Sterility

    Lyophilization

    Final Sterility

    etc.

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    Estimate the Prevalence

    The prevalence of inspection findings for agiven type of event are initial estimates ofprobabilities necessary for risk

    management modeling.

    Failure analysis in plant.

    Failure in compliance inspections. Human adverse events.

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    For each hazard

    Health

    Endpoint

    Probability of Occurrence

    Very

    Low Low Medium High

    Very

    High

    Death Medium Medium High High High

    Chronic

    IllnessLow Medium Medium High High

    Acute

    IllnessLow Low Medium Medium High

    Worry Low Low Low Medium Medium

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    The modelers view (for example)

    Health

    Endpoint

    Probability of Occurrence

    Very

    Low Low Medium High

    Very

    High

    Death 5 4 3 2 1

    Chronic

    Illness6 5 4 3 2

    Acute

    Illness7 6 5 4 3

    Worry 8 7 6 5 4

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    For each hazard

    Compliance

    Endpoint

    Prior History of Actions

    Never

    Violations

    Few

    Viol.

    Average

    Viol.

    Some

    Viol.

    Many

    Viol.

    OAI Medium Medium High High High

    VAI Low Low Medium High High

    Other? Low Low Low Medium High

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    Scoring, then prioritize multiple hazards

    Endpo

    int

    Probability of Occurrence

    Very

    Lo

    w Low

    Medi

    um

    Hi

    gh

    Very

    Hig

    h

    Death

    Me

    dium

    Med

    iumHigh

    Hi

    gh

    Hig

    h

    Chron

    icIllness

    Lo

    w

    Med

    ium

    Medi

    um

    Hi

    gh

    Hig

    h

    AcuteIllness

    Low

    LowMedium

    Me

    dium

    High

    WorryLow

    Low LowMediu

    m

    Medium

    Endpoint

    Probability of Occurrence

    Very

    Low Low

    Medium

    High

    Very

    High

    Death

    Me

    dium

    Medium

    HighHigh

    High

    Chronic

    Illness

    Low

    Medium

    Medium

    High

    High

    AcuteIllness

    Low

    LowMedium

    Mediu

    m

    High

    WorryLo

    wLow Low

    Mediu

    m

    Med

    ium

    Endpo

    int

    Probability of Occurrence

    Very

    Lo

    w Low

    Medi

    um

    Hi

    gh

    Very

    Hig

    h

    Death

    Me

    dium

    Med

    iumHigh

    Hi

    gh

    Hig

    h

    Chron

    icIllness

    Lo

    wMed

    ium

    Medi

    um

    Hi

    gh

    Hig

    h

    Acute

    Illness

    Lo

    wLow

    Medi

    um

    Me

    dium

    Hig

    h

    WorryLow

    Low Low

    Me

    dium

    Medium

    Endpo

    int

    Probability of Occurrence

    VeryLo

    w Low

    Medi

    um

    Hi

    gh

    Very

    Hig

    h

    DeathMediu

    m

    Medium

    HighHigh

    High

    Chronic

    Illness

    Lo

    wMed

    ium

    Medi

    um

    Hi

    gh

    Hig

    h

    Acute

    Illness

    Lo

    wLow

    Medi

    um

    Me

    diu

    m

    Hig

    h

    WorryLo

    wLow Low

    Me

    dium

    Med

    ium

    1. PQ Fault A

    2. PQ Fault T3. PQ Fault C

    4. PQ Fault D

    5. PQ Fault X

    6. PQ Fault M

    Scored and Prioritized

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    Risk Ranking & Filtering Model

    Health

    Compliance

    Other

    1. PQ Fault M2. PQ Fault T

    3. PQ Fault C

    4. PQ Fault D

    5. PQ Fault X

    6. PQ Fault A

    Scored and Prioritized

    Under Multiple Criteria

    (Risk Ranking and Filtering)

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    Risk Analysis Cycle

    Multi-Factorial

    Risk ModelRisk Ranking

    and Filtering

    Work Planning

    cGMP/Compliance

    Inspections

    Assessments

    (Data Bases)

    Risk ManagementRisk Assessment

    Start

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    Conclusions

    Risk Assessment provides a process fororganizing information in support of risk-baseddecision making.

    Risk assessment is one of the tools available forRisk Management, the activity in which theoptions for controlling risks are examined in lightof costs, benefits and risk trade-offs.

    Multifactor Risk Ranking and filtering approachmight be robust enough to employ in the GMPInitiative.