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Related Experiment Videos

Analytical goals for haematology tests.

C G Fraser1

  • 1Department of Biochemical Medicine, Ninewells Hospital and Medical School, Dundee, Scotland.

European Journal of Haematology. Supplementum
|January 1, 1990
PubMed
Summary

Establishing analytical goals for laboratory testing is crucial. Using biological variation data to set targets for imprecision and inaccuracy ensures reliable and comparable test results.

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Area of Science:

  • Clinical chemistry
  • Analytical methodology
  • Laboratory medicine

Background:

  • Analytical methods require defined performance standards, including goals for imprecision and inaccuracy.
  • Various approaches exist for setting these analytical goals, such as reference values and clinician opinions.
  • Data on biological variation is increasingly favored for establishing desirable performance standards.

Purpose of the Study:

  • To define desirable analytical goals for laboratory testing performance.
  • To evaluate the use of biological variation for setting imprecision and inaccuracy targets.
  • To assess the impact of analytical variability on total test result variability.

Main Methods:

  • Reviewing methods for setting imprecision goals, including biological variation.
  • Proposing goals for inaccuracy based on minimizing bias for temporal and geographical comparability.
  • Considering goals for total error derived from biological variation data.

Main Results:

  • Desirable imprecision is set at or below half of the within-subject biological variation.
  • Achieving this imprecision goal limits analytical contribution to total test variability to under 10%.
  • Valid estimates of within-subject biological variation exist for complete blood count parameters.
  • Inaccuracy goals aim for methods with no bias, ensuring result comparability.

Conclusions:

  • Biological variation provides a robust framework for setting analytical goals for imprecision and total error.
  • Current analytical methods may not meet all desirable goals, highlighting them as targets for improvement.
  • Analytical goals should serve as aspirational targets rather than strict acceptance criteria for method validation.

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