Task and finish group Allocation of laboratory tests to different - - PowerPoint PPT Presentation

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Task and finish group Allocation of laboratory tests to different - - PowerPoint PPT Presentation

Task and finish group Allocation of laboratory tests to different models for performance specifications (TFG -DM). Models defined by the EFLM Conference in Milano Model 1. Based on the effect of analytical performance on clinical


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SLIDE 1

Task and finish group “Allocation of laboratory tests to different models for performance specifications” (TFG-DM).

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SLIDE 2

Models defined by the EFLM Conference in Milano

  • Model 1. Based on the effect of analytical

performance on clinical outcomes

  • Model 2. Based on components of biological

variation of the measurand

  • Model 3. Based on state-of-the-art

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SLIDE 3

Statements of the Milano meeting

  • “There is general agreement that some of these

[models] are better suited for certain measurands than for others.”

  • “It is therefore recommended that a list be made

allocating measurands to different models.”

  • “Preference should be given to models 1 and 2. In

some situations, it can be advantageous to combine the different models.”

  • “Some measurands could have different performance

specifications defined when the test has multiple intended clinical applications.”

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SLIDE 4

TFG - DM

  • Terms of Reference: To allocate different tests to

different models recognized in the Strategic Conference Consensus Statement and to give an

  • verview and a reason for why tests are

allocated to the different models.

  • Deliverable: To produce a list of laboratory tests

allocated to the different performance specifications (starting with the most common) to be put on the EFLM website. To publish a paper describing the rationale behind listing the different tests in the different model groups.

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SLIDE 5

Work-flow

  • 1. Elaborate a strategy for allocating the

analytes to the different models:

– identify objective criteria – describe the rationale for those criteria

  • 2. Apply the criteria to the most frequently

requested analytes (see next slide for the 20 most frequently requested serum measurands in my Institution)

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SLIDE 6

1) Possible criteria

  • 1. The measurand has a central role in

diagnosis and monitoring of a specific disease  outcome criteria;

  • 2. The measurand has a high homeostatic

control  BV criteria;

  • 3. Neither central diagnostic role nor

sufficient homeostatic control  state-of- the-art.

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SLIDE 7

Criteria for applicability of BV data

(preliminary proposal, to be developed)

  • Existence and grade of homeostatic control.

– For analytes without a real homeostatic control I expect high intra-individual variability, large differences in the BV of different individuals, large differences among results of BV studies (urinary measurands or inflammatory markers are, in my

  • pinion, examples of this kind of analytes)
  • Existence of reliable BV data

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SLIDE 8

For each measurand

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Do outcome data exist? YES Are they valid? YES Assign to “outcome” category NO Do valid BV data exist? YES Assign to BV category NO Assign to the state-of- the-art category

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SLIDE 9

20 most frequently requested serum measurands (decreasing order)

  • Creatinine
  • ALT
  • AST
  • Glucose
  • Potassium
  • Sodium
  • Calcium
  • Gamma-GT
  • CRP
  • Total Bilirubin
  • Urea
  • CK
  • Total cholesterol
  • Triglycerides
  • Total protein
  • LDH
  • ALP
  • HDL-cholesterol
  • Uric acid
  • TSH

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These 20 tests represent about 50% of the work

  • f my Laboratory
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SLIDE 10

How to proceed

  • Discussion on the criteria

– How to identify the main clinical use of an analyte – How to interpret the existing BV data to evaluate the homeostatic control of the analyte. Which numbers will indicate excessive CVI heterogeneity

  • Collaboration with TFG-BV for the

prioritization and the sharing of BV data

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