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Out of Specification and Atypical Test Results Out of Specification and Atypical Test Results

Out of Specification and Atypical Test Results - PowerPoint Presentation

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Out of Specification and Atypical Test Results - PPT Presentation

Contents Objective Definitions and terminology General investigation principles Investigation stages Initial Laboratory Investigation FullScale OOS Investigation Additional Laboratory Testing ID: 142167

investigation oos results laboratory oos investigation laboratory results test result sample testing error control quality review data batch initial slide reportable identified

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Presentation Transcript

Slide1

Out of Specification and Atypical Test ResultsSlide2

Contents

Objective

Definitions and terminology

General investigation principles

Investigation stages

Initial Laboratory Investigation

Full-Scale OOS Investigation

Additional Laboratory Testing

Review of Production

Importance of corrective and preventive actionsSlide3

Process overviewSlide4

Cause for an investigation

Out of Specification arises:

Investigation

Analytical (lab) error?

Root cause assigned?

Corrective and Preventive Action?

Production error?Slide5

References

FDA Guidance for Industry : Investigating Out-of-Specification (OOS)Test Results for Pharmaceutical Production, October 2006 : Contains Nonbinding Recommendations

USP– NF General Chapter <1010> Analytical Data – Interpretation and treatment

ICH Q7A Note for Guidance on Good Manufacturing Practice for Active Pharmaceutical Ingredients, November 2000

EU Guidelines to GMP Part I Chapter 6 Quality Control Section 6.32.Slide6

Definitions and Terminology (1)

Out of Specification (OOS) Result

Reportable result that falls outside established specifications or acceptance criteria.

Do not include situations where Control test is not continued due to violations of system suitability tests (SST) limits

Identification of gross operator-errors during a run: e.g. wrong instrument settings

Such deviation cases should be tracked in order to apply CAPA if appropriate

Reportable Result

Result that must be compared to a particular acceptance criterion.

May be “an average value, an individual measurement, or something else”, as defined in the control test [USP]Slide7

Definitions and Terminology (2)

Established Specifications or Acceptance criteria:

Approved specifications or acceptance criteria (e.g. limits) with respect to the final result (reportable result) in order to evaluate the quality of a product or sample.

May be official (part of a regulatory file) or internal (e.g. additional or alternative control tests)

These do not apply to:

Acceptance criteria during the course of analysis (before the reportable result) such as system suitability tests (SST), warning limits, in-process control limits for process adjustments

Atypical Test Result or Out of Trend / expectation, suspect, …

Result within specification

Result different from those usually obtained or expected

Same general investigation principles as OOS results

Site Quality Control Manager must determine extent and depth of any

investigationSlide8

Definitions and Terminology (3)

Re-analysis

Analysis of retained sample preparations

Repeating some part of the testing, e.g.

re-measurement

re-injection

redilution of sample and standard preparations

Further extraction

Fresh analysis

Performing the testing as normal (New execution of the control test)

As described in the control test

Only allowed if initial results could be invalidatedSlide9

Definitions and Terminology (4)

Retest :

New preparation and analysis of a

portion

of the

original sample

Part of a full-scale OOS investigation

Using a predefined procedure/plan with a

MAXIMUM number

of retests,

Used to verify/ reject the possibility of laboratory errors

Control Sample :

A sample of material that has previously been tested and approved or well characterised.

Re-sampling :Collecting and analyzing a new sample from the product

Must have a documented rationale for re-sampling, (e.g. original sample not representative or compromised/contaminated)Used for confirmation of product failureSlide10

Presentation Scope

Applicable to QC laboratories, Manufacturing sites and Affiliates

All GMP relevant laboratory testing including inprocess controls

Where approved specification or acceptance limits are established.

Note:

Compendial

tests

Where interpretation and handling of test results are described, those procedures are to be followed.Slide11

Principles of Investigation (1)

All OOS or atypical test results must

be thoroughly investigated and documented

Includes identification of root cause

OOS or Atypical test results are

only

allowed to be

invalidated

if a

laboratory error can be assigned

Demonstrated or indicated with high probability and/or a product failure definitely excluded

Supporting information and/or data

Timely initiation

(e.g. 2 business days) and completion (e.g. 20 business days)Otherwise written rationale

Sterile products: a parallel investigation in the manufacturing area must be initiated immediatelyA risk assessment and notification in case of confirmed OOS for product already on the market or for a risk that could affect other batches or products on the marketSlide12

Principles of Investigation (2)

Consider:

Problem has occurred previously (historical data)

Possibility that other batches or products are affected

Corrective actions must be defined as a conclusion of the investigation and followed through to prevent reoccurence

A system must be in place for the tracking of OOS results

Investigation phases

Initial Laboratory Investigation

Full-Scale OOS Investigation

Additional Laboratory Testing

Review of ProductionSlide13

Responsibilities (1)

Analyst

Achieves accurate analytical results

Should not use systems that do not meet system suitability requirements (SST); or in such case during analysis identifies data collected during suspect time period (e.g. reference standard injection runs in a chromatographic system)

Should not continue test in case of obvious error (spilling of a

sample solution, incorrect dilution etc.)

Immediately reports the OOS to his/her supervisor

Retains the original test solutions, materials and source data

Participates in the investigationSlide14

Responsibilities (2)

Supervisor / QC Manager

Conducts an objective and timely investigation

Informs Site Quality Manager (

immediately

in the case of a sterile product)

Decides upon investigation of atypical results

Site Quality Manager

Ensures specific site procedures and systems exist

Ensures appropriate training given

Makes batch related decisions when an OOS or atypical result is confirmed

Informs all relevant departments

Assuring that corrective actions are taken to prevent reoccurrence

For sterile products, promptly initiates parallel investigation in laboratory AND manufacturing area.Slide15

Initial Laboratory Investigation

OOS/OOT results identified by Analyst. Supervisor informed immediately

INITIAL LABORATORY INVESTIGATION

Assess whether the test procedure was followed correctly

(calculation; sampling; sample preparation; equipment functionality& qualification; training etc)

Laboratory Error Identified?

YES

NO

See slide 18

(Lab error IS identified)

Full scale OOS investigation required

(See slide 20 )Slide16

Initial Laboratory Investigation:

examples (1)

Method discussed between analyst and supervisor : confirm analyst knowledge of and performance of the correct procedure

Verification of calculations

Review of samples for correct labelling and identification

Verification of correct laboratory test methods

Examination for proper documentation

Review of chromatograms, spectra, data and calculations

Review of reagents, media, diluents, controls and standards

Examination of the instruments and laboratory systems (qualification, calibration, maintenance)

Review other samples run concomitantly (if any)Slide17

Initial Laboratory Investigation:

examples (2)

Verification of analyst’s training history

Inspection of prepared sample

Reanalysis/Redilution of test samples (if stable)

Supervisor fully document and preserve records of the Initial Assessment

Everything except new sample preparationSlide18

Laboratory Error

is

Identified

Invalidate original test results

(Initial Lab investigation- slide 15)

Laboratory error IS identified

Consider Implication on other analytical tests/products

CAPA plan

Fresh analysis

New Evaluation

Conclusion

Evaluation if positive

Implement CAPA action plan and follow throughSlide19

Categorising Errors

Error type:

Description:

Transcription Error

Wrong interpretation or calculation

Identifiable Analytical

Error

Non-adherence to control test instructions

(wrong materials, dilutions, instrument settings etc.)

Equipment malfunctions

Anticipated OOS

E.g. stability, accelerated conditions or beyond shelf-life

Consider Actions for improvement of processes/ prevention of errors – e.g. training analysts; instrument re-qualification, update to procedures.Slide20

Full scale OOS Investigation

Additional Laboratory testing

Laboratory error is NOT identified

(from slide

15):

Full Scale OOS investigation

Review of Production (slide 22)

Full Laboratory investigation

Follow Company protocols on:

Re-testing

Re-sampling

Areas to review will include:

Batch Dossier Evaluation

Equipment: Validation, Qualification, Calibration

Training of Personnel

Risk Management Evaluation

OOS Confirmed?

(See slide 21)

Deviation explaining OOS confirmed?

NO

YES

Batch Failure Investigation

(See slide 21)Slide21

OOS Confirmed?

Batch Failure Investigation

(Additional

Laboratory

testing, slide 20)

OOS Confirmed?

Lab error identified?

Evaluate rejection of batch

Risk Assessment

Quality Alert Notification

Impact on Other Products?

Take all results into consideration

YES

NO

Investigation report

Document.

If yes, further evaluation required

NO

YES

See slide

18,

above.Slide22

Review of Production

Involvement required of all departments that could be implicated: Manufacturing, Process Development, Maintenance, Engineering, Sub-contractor

Timely, thorough, well-documented review

Review of: batch dossier, equipment (qualification, calibration), personnel training and risk management evaluation, etc.

Once Root cause is identified and CAPA plan implemented: OOS investigation may be terminatedSlide23

Additional Laboratory testing; retesting; Maximum number; design

Variables : number specified in advance, analyst, control samples …

Must be defined before testing

Case-by case decision, e.g. depending on

Possible cause of the OOS (analyst, equipment, sample …)

Level of confidence required

Analytical variability

“Extent” of OOSSlide24

Additional Laboratory testing:

Resampling

Resampling

to be carried out:

in accordance with predetermined procedures and sampling strategies

where it is identified that the original sample was improperly prepared and not representative of batch quality

Use same sampling method unless it is demonstrated as inadequateSlide25

Reporting Testing results: Averaging General Considerations

Mean

Estimate of the true value

Reliability increases with the number of determinations

However: may hide (unacceptable) variability

Reportable results and acceptance limits

Correlated

Evaluation of single results requires wider limits due to the broader distribution

If the mean is defined as reportable result, the variability should be checked (standard deviation or range)Slide26

Reporting Testing results:

Appropriate and Inappropriate Uses of Averaging

Appropriate

When sample assumed homogeneous and if the written and approved test method specify that the average of multiple replicates (assays) is considered one test and represents one reportable result

Inappropriate

When testing is intended to measure variability of a product (blend uniformity, content uniformity)

In case of additional testing during OOS investigation because variability is hidden

Specifically when some results are OOS and other within specifications

Provide all individual results to quality management responsible for approving or rejecting the productSlide27

Reporting Testing results:

Outlier Tests

Outlier result, Definition: A value obtained, on rare occasions, markedly different from the others in a series, with a validated method

Outlier testing: statistical procedure for identifying from an array those data that are extreme:

SOP is mandatory

(

includes

minimum number of results required, to obtain a statistically significant assessment)

Used when it is not possible to reveal the root cause of OOS/ deviation

May be used as investigative tool

Should not be used as sole criteria to invalidate dataSlide28

Concluding the Investigation

Results evaluated, batch quality determined,

release/rejection: decision

by Quality Management

OOS cause revealed

:

Suspect result invalidated and not used

OOS confirmed and is caused by factor affecting batch quality

OOS result used to evaluate quality of lot

OOS Cause not revealed

:

Inconclusive investigation

OOS not confirmed

OOS result given full consideration for batch decisionSlide29

Reporting and Documentation

OOS report should include the following:

Chronology of the investigation

Full description of the initial laboratory investigation including an analysis of all data derived from all testing

Batches or products involved

Justification for invalidating any data

Conclusion including conformity of final results and batch

disposition

Corrective and preventive actions taken to prevent the OOS

from occurring again

Uniquely numbered to permit tracking

Maintained in a controlled and retrievable mannerSlide30

OOS Investigations

Clear definition of the reportable result

Thorough, timely, well documented, scientifically justified with no preconceived assumptions

Clear and methodical escalation

Objective to assign a cause

Product failure

Laboratory (analytical) error

Corrective actions to prevent reoccurrence

Atypical results: chance to increase data quality

E.g. in stability studiesSlide31

Examples: Identification of Analytical Errors

Examples of Errors

Solutions

One injection OOS, reanalysis/reinjection ok

Instrument

failure

(

consider

maintenance,

repair

, qualification)

All injections of one sample preparation OOS,

redilution

ok

Dilution error (consider training, clarification of control test)

One sample preparation OOS, retesting 2nd analyst ok

Analyst error (consider training, clarification of control test)

Results near limit, one result just OOS; 1 out of 4 retests also OOS

Reportable result? May indicate unsuitable specification limits (too tight for the analytical variability)

All sample preparations OOS, retesting

OOS, control samples ok

Sampling error or batch failureSlide32

Thank You

Any Questions