Quality control of multichannel haematology analysers: critique of current methods and the need for performance goals

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M B O'Sullivan1

  • 1Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota 55905.

Insights

New performance goals for multichannel hematology analyzers were established by the National Committee of Clinical Laboratory Standards. These goals aid in evaluating quality control strategies for complete blood-cell counts when ideal standards are unavailable.

Area of Science:

  • Clinical Laboratory Science
  • Hematology
  • Analytical Chemistry

Background:

  • Automated complete blood-cell counts lack ideal calibration standards and reference methods.
  • Current quality control strategies for hematology analyzers vary widely.
  • Comparing the effectiveness and cost-efficiency of different quality control methods is challenging.

Purpose of the Study:

  • To establish consensus-based performance goals for internal quality control of multichannel hematology analyzers.
  • To provide objective criteria for evaluating existing quality control strategies.
  • To guide laboratories in selecting the most effective and cost-efficient quality control methods.

Main Methods:

  • Consensus development by the Subcommittee on Quantitative Cellular Hematology of the National Committee of Clinical Laboratory Standards (NCCLS).
  • Determination of achievable tolerance limits for analytical variations in key hematological parameters.
  • Focus on measurements including hemoglobin concentration, erythrocyte count, leukocyte count, platelet count, and mean cell volume.

Main Results:

  • Performance goals were established for critical hematology parameters.
  • These goals represent expert consensus on achievable tolerance limits for analytical variation.
  • The developed goals facilitate comparison of different quality control strategies.

Conclusions:

  • The established performance goals offer a framework for assessing quality control effectiveness in hematology laboratories.
  • These goals can aid in selecting optimal and cost-effective quality control strategies.
  • The findings address the need for standardized quality control evaluation in automated hematology.

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