2.2 Troubleshooting Flashcards

1
Q

Result does not match clinical findings- approach

Generic template of answers

A

Caveat

  • depends on the assay in question
  • critical vs routine result/clinical impact/urgency
  1. Investigate
    - post analytical; transcription, data entry error , correct patient
    - analytical; QC on the day, calibration, machine issues, other samples in the run
    - pre-analytical; correct patient, primary tube
  2. If a mistake
    - short term harm vs long term
    - short term; redact report, amend, phone requester to explain
    - - open disclosure
    - CAR/incident form
    - root cause analysis
    - report at lab/management meeting
  3. Solution
    - education
    - training
    - algorithms
    - action limits
  4. Monitor situation
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2
Q

External QAP result falls outside of the allowable limits- approach

A
  1. Investigate
    - post analytical: transcription error/data entry
    - analytical run: QC, calibration,
    - previous cycles; ongoing bias or random error
    - pre analytical; correct specimen, transport/handling, reconstitution
  2. If random
    - repeat
  3. If ongoing/systemic, drift
    - equipment
    - lot numbers of reagents
    - method group
  4. Clinical implication
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3
Q

External QAP result falls outside of the allowable limits- approach

A
  1. Investigate
    - post analytical: transcription error/data entry
    - analytical run: QC, calibration,
    - previous cycles; ongoing bias or random error
    - pre analytical; correct specimen, transport/handling, reconstitution
  2. If random
    - repeat
  3. If ongoing/systemic, drift
    - equipment
    - lot numbers of reagents
    - method group
  4. Clinical implication
  5. QAP corrective action form/monitor
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4
Q

What are some of the pre-analytical errors?

A

patient factors- preparation, medications

collection factors- poor technique, contamination, incorrect tube, hemolysis, insuff volume, inadequate labelling, incorrect test

transit factors- failure to store, separation of sample, aliquot sufficient volume, freezing/thawing, temp

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5
Q

General approach to troubleshoorting

A
  • post ana, ana, pre ana
  • sourcing errors general principles
  • specific method/platform considerations
  • random vs systematic error
  • then incident form/CAR/ raise in meeting and monitor**
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6
Q

What are some of the pre-analytical errors?

A

patient factors- preparation, medications

collection factors- poor technique, contamination, incorrect tube, hemolysis, insuff volume, inadequate labelling, incorrect test

transit factors- failure to store, separation of sample, aliquot sufficient volume, freezing/thawing, temp

automated aliquots- alignment, slash, contam

** liaise with specimen collection/clinical team

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7
Q

What are analytical errors?

A

Internal QC non conformity- outside allowable limits

Calibration

Platform- automated vs manual, failure to add, bubbles/blocked tubing,maintenance, calibration, mechanical fault (systematic),

Reagent-storage, expiry, faulty batch, contam (syst(

Operator-non compliance to SOP, bias, pipetting tech if manual

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8
Q

What are post analytical errors?

A

Transcription of results- comments, data entry verified/ second reader

Release of results

Interpretation- incorrect reading (training)

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9
Q

General format of dealing with a non-conformity

A
  • identify
  • investigate (what, who, when, clinical significance)
  • immediate corrective action
  • root cause analysis
  • preventative strategy
  • document
  • discussion/management meeting
  • monitor
  • NATA will review
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10
Q

QC random error- what are the potential causes and approach?

A

Random error- sudden shift in QC

  • QC material itself; wrong one, degraded/expired, evaporated
  • reagent lot new
  • calibration issue
  • instrument issue
  • operator issue on the day; pipette, incubation, temperature, variation reader

First step- check QC material, can re-run
If still out, can examine reagent/instrument/operator/other QCs (first party)
If other QCs affected on the instrument likely instrument issue and may require servicing
Or may need recalibration if QC despite re-run still out

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11
Q

Internal QC has failed with R4s- what is your approach?

A

Explain R4s
Reject run, need to ix before pursuing further tests

  • need info is it kit/3rd party
  • what about other levels of QC?
  • other QCs on the platform ok?

Random error (reagent/instrument/operator); imprecision

Re-run
New lot
Previous known patient samples could be re-run

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12
Q

Results from different labs do not agree- what are the potential sources of variation for this result once lab error has been excluded?

A

Pre-analytical;

  • different labs environmental- water, temp, centrifuge
  • Biological variation of the sample to the detection kit

Method

  • reagent variation; calibration/ curve
  • batch to batch variation
  • ag source ag/substrate, capture antibody
  • avidity of ab, isotype detected
  • nature of method and sensitivity/specificity

post analytical

  • reference range
  • cut offs
  • reporting units

mention gold standard methods ie CIEP for ENA

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13
Q

Reagent recall question, results have already gone out, what would you do? apparoch

A
  1. immediate corrective action
    - ID results affected/retraction/amendment
    - stop testing current samples
    - freeze samples coming in
    - contingency plan
    - communication to users
  2. Clarify with company/manufacturer
    - issue
    - other results affected
    - when new lot can be sent
  3. Contingency
    - get new lot and re run all/amend results
    - may have to consider sendaway to another unaffected lab
    4 . CAR form
    - discuss at meeting
    -close when able
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14
Q

Kit recall, company no longer making it in 3 months- what do you do? Apprach

A
New method
•	Investigate
i.	New method
1.	Literature
2.	EQAP
3.	Colleagues
4.	What platform is already available
ii.	3 month worth of supply- how many tests is that, plan timeframe 
•	Deciding on a new method
i.	Pre analytical- sample handling/storage
ii.	Analytical- ease of sourcing kit/ controls, method platform , analytical performance characteristics, safety, staff expertise/experience
iii.	Post analytical- LIS, interpretation
iv.	Costs/financial implications
•	Validation
i.	Cross validation
1.	Of known pos/neg samples, EQAP samples, and also of samples from patients without disease
2.	Depending on platform etc
a.	Precision
b.	Correlation
c.	Agreement

• If new method

i. Notify NATA/QAP
ii. New SOP
iii. Scope of practice
iv. Training
v. Communication
vi. Parallel testing for some time

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15
Q

What are some interferences in immunoassays?

A

Antibody related or non antibody related

Positive/neg interference

Antibody

  • anti analyte ab
  • anti animal ab (esp HAMA)
  • mAbs
  • autoantibody
  • paraprotein
  • cryoglobulin
  • heterophile antibody
  • cross reactivity
  • RF
  • hook/prozone effect

Non antibody

  • medications/drugs
  • contrast agent
  • fibrinogen/CRP in EPG
  • lipemia
  • hyper bilirubinemia
  • hemolysis
  • other sample matrix
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16
Q

What are some of the methods to reduce interference from heterophile and HAAA?

A
  1. Removal of interfering antibody
    - prior extraction
    - immunoextraction on sepharose/protein A beads/suspension
    - PEG
    - heating 70-90deg
  2. Addition of blocking agent from same species as antibody reagents
    (monoclonal ab usually mouse ig)
    - non immune serum, species sp polyclonal IgG
    - species specific fragments of IgG
    - heterophile blocking reagents HBR like scantibodies block all heterophiles in all isotypes
17
Q

What you see an out of QC what are your steps?

A
  1. Decide whether to reject or accept first
    - if Rejecting then do not allow run
    - Stop until investigation complete
  2. Investigate
    - QC material; lot/correct/level, prep, storage, expired
    - Reagent material; correct lot, prep, stored, expired
    - calibration curve, standards prep, stored, loaded in order, lot # correct, expiry
    - instrument; maintenance UTD, recent service, solution store/stability, problems on visual inspection - leak, plungers, bent probe
    - operator
    - environment; water system, waste , temp, humidity
18
Q

For discrepant results, sometimes limitations of methodology play a role - why is this in immunological antibody testing?

A

uncertainty occurs in many aspects of process

antibodies

  • difficult due to mol structure, weight, biological variability
  • ag source; whole, cell extract, purified, recombinant
  • antibody measuredl affinity, avidity, epitope specificity, isotype
  • antibody detection system; polyclonal, monoclonal, affinity, conjugation, methodo variation re incubation time, choice substrate

standardisation issue- even when there is traceability, standards are limited

19
Q

Discrepant results in IFA, why? potential sources

A

Lab error IFA
IFA limitation of assay

Pre analytical-
analytical
- substrate
– species, transfection, cross section /orientation, composite block
- fixative
- reagents expired
- serum dilution
- sampling error bubbles
- conjugation (fluorescence vs enzyme)
- quality of secondary antibody;(affinity avidity isotype)
- set up of UV microscopes (mercury vs LED light source, mag, numerical aperture)

Post analytical

  • interpretation
  • transcription

Need to check QCs, other wells ensure other runs ok

Ask if pipetting automated/slide mounting or manual

Can re-run sample
Try another lot of slides
Try a different slide

20
Q

What about semi quantitative assays what causes uncertainty in these methods?

A

e.g. immunoblot, ELISA methods generating a ratio result

Generally

  • methods
  • reagents
  • instrument
  • calibrator/ref material
  • control
  • reporting units
  • random error
  • nature of analyte/behaviour
  • substrate (recombinant/and or purified ag on nitrocellulose membrane)
  • single point calibration usually
21
Q

What about quantitative assays what are their sources of uncertainty and limitations?

A
  • source of ag; if ag variation is reduced (CCP under single source) then reduced
  • solid vs liquid phase, conc of ag, method of coating
  • siotype being measured
  • ## for sIgE prep of allergen
22
Q

What are some of the things the labs can implement to overcome limitations of the assay and to ensure assay is optimised?

A
  • validation including clinical sens/spec
  • clinical input for interpretation
  • use of internal QC material
  • EQAP enrollment
  • periodic re evaluation of assay
  • expertise IFA reading, audit of reading
  • regular maintenance
  • validate manufacturer reference ranges
23
Q

Name one instance where checkerboard titration may be useful/used

A

IFA

if antiserum too concentrated- may risk prozone effect, waste money, inc BG stain

too dilute, loss of sensitivity

use a known positive serum of defined titre to create a checkerboard with conjg antiserum.

appropriate dilution is the last but one before the fall off in sensitviity to allow long term storage without risking a drop in sensitivity

24
Q

What kind of machine/instrument issues can cause problems?

A
Analytical>
calibration>
technical failure
- sampling
- mechanics
- water/waste
- reader issue/light source/cuvette