Validation Flashcards

1
Q

When do you do a Method Verification?

A

confirm stated performance criteria of established assay being introduced achieved under own test conditions OR
minor change made to existing assay if change in equipment

requirement under ISO 15189

  • already undergone validation by collaborative studies
  • peer accepted methods published in lit w performance data
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2
Q

What performance parameters need to be evaluated in a full validation?
And what is a full validation ?

(maybe for an in house assay)

A

Full validation to ensure/demonstrate method meets necessary performance specifications for a clinical laboratory, NATA requirement

Preanalytical

  • specimen type/matrix/volume
  • process collection, transport, storage
  • stability

Analytical (quant or quali)

  • selectivity/interference
  • linearity/calibration model
  • accuracy (reference method) 15%, 20% near LLOQ
  • precision 15%, 20% near LLOQ
  • LLOQ
  • LOD
  • stability
  • (ruggedness/robustness)
  • (recovery)
  • sensitivity (clinical)
  • MOU
  • shelf life of reagents

Post-analytical

  • reference interval
  • clinical sens/spec
  • cut off establish for interpretation

Other

  • staff training
  • safety issues
  • validation report
  • EQAP
  • approved by senior pathologist, lab manager and quality manager / retention of documents NATA inspection
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3
Q

What is a cross validation/comparative validation?

Describe its process.

A

Switching from one validated assay to another different assay

  • ask for kits/reagents
  • gather 20-40 samples of pos, neg, eqap, controls to run
  • pre analytical procedures
  • analytical procedures
    • controls; 1st/3rd/PCS
    • establish new LJ chart
    • establish new instrument log
  • technical
    • sens/spec
  • precision
    • accuracy
    • transfer RR (separately)
    • new MOU establish

statistically

  • linear reg
  • bland altman
implementation
- documentation/
SOP
- staff training
- alert NATA change scope
- communicate to clients
- parallel testing
- comment on reports
- EQAP notify change in method
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4
Q

For an in house assay being developed for full validation, how many calibrators do you need, and why do you need so many calibrators?

A

Minimum of 6 for full validation

linearity unknown, more data points will produce valid calibration curve

concentrations of calibrators should lie in clinically significant range of the assay

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5
Q

What characteristics may be evaluated in verifications?

A

confirm expected perf prior to implementation- needs replication

Pre-analytical

Analytical performance characteristics

  • analytical sensitivity
  • precision
  • accuracy
  • measure clinical utility (sen/spec/predictive values)
  • reference range
  • MOU

Post-analytical
- statistical correlation with old method/bias

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6
Q

What types of validations are there?

A

Full - non standard or in house methods, or if significantly modified

Partial - modifications to already validated methods ie. change in sample processing, matrix, species of detecting Ab

Cross/comparative- equivalent performance bw two methods

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7
Q

Define the term linearity.

How do you determine linearity?

A

Linearity- ability to induce signal/response directly proportional to concentration

Run at least 6 samples of known concentration spaced over range of interest, incl blank or close to 0, go up to 150% of conc likely encountered

Plot to visualize relationship, if non-linear

  • can try elminate the cause of non linearity
  • restrict conc range where it is linear
  • use non linear function quadratic fits

Usually measurement range also derived from linearity studies

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8
Q

How do you test for matrix effect?

What should you think about if matrix effect is detected?

A

Can compare pure vs matrix spiked with standards- run once or twice at 3 concentrations and compare calibration plots

If <10% slope difference, ok not to compensate for matrix effect

If matrix effect

  • interference
  • matrix change detector response
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9
Q

What is selectivity? and how to do you examine for this

A

Ability to accurately differentiate in presence of interference ie impurity degradent other ab, matrix, microbes

specificity = in relation to one analyte

in practice, need standards, blanks, assay specimens with and without suspected interferent ig. bilirubin solution

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10
Q

What error does accuracy examine for?

A

Systematic errors

Precision- improved by increasing sample size

Mean value should be <15% of actual value except LLOQ 20%

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11
Q

How is precision usually expressed?

A

Closeness between individual test results when repeated

Random error

SD, CV (measure of imprecision)
Repeatability - intra assy
Reproducibility - inter assay

20 times per sample over 3 concentrations

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12
Q

What is ruggedness of a method?

A

How robust it is- degree to which results are unaffected by minor changes eg. temp, pH, reagent concent, flow rate

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13
Q

How do you establish a reference range as a part of method validation?

A

More often verified from published ranges/values provided by assay manufacturer

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14
Q

Define method validation

A

Validation is a process to provide assurance that an assay has an acceptable level of performance under the conditions used in a particular laboratory /and for the population serviced by that laboratory

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15
Q

What parameters do you check for partial and cross validation?

A
  • performance characteristics: sens/spec/PPV/NPV
  • accuracy
  • precision
  • linearity (?)
  • reference ranges/transfer 20
  • agreement/correlation; linear regression/Bland altman
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16
Q

When is a Bland Altman plot satisfactory to show agreement?

A

There is good agreement if 95% of points lie between 2SD of mean difference between the assays - but also depends on clinical relevance of the difference