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Related Experiment Videos

T-lymphocyte immunophenotyping blind proficiency testing: a model system for CD4+ T-cells.

D P Francis1, K M Peddecord, L K Hofherr

  • 1Laboratory Assurance Program, Graduate School of Public Health, College of Health and Human Services, San Diego State University, CA, USA. dfrancis@mail.sdsu.edu

Clinical Laboratory Science : Journal of the American Society for Medical Technology
|January 6, 2000
PubMed
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Blind proficiency testing for CD4+ T-cells is feasible, offering insights into laboratory processes but increasing costs. This method evaluates T-lymphocyte immunophenotyping accuracy and comparability between labs.

Area of Science:

  • Clinical immunology
  • Laboratory medicine
  • Quality assurance in diagnostics

Background:

  • T-lymphocyte immunophenotyping is crucial for assessing immune status.
  • Accurate CD4+ T-cell counts are vital for managing conditions like HIV/AIDS.
  • Proficiency testing (PT) ensures laboratory accuracy and reliability.

Purpose of the Study:

  • To develop and assess a blind proficiency testing model for CD4+ T-cell enumeration.
  • To evaluate the feasibility, cost-effectiveness, and comparability of blind PT for T-lymphocyte immunophenotyping.

Main Methods:

  • A novel model system was created to submit duplicate blood specimens for T-lymphocyte immunophenotyping as routine samples.
  • Results were compared both inter- and intra-laboratory.

Related Experiment Videos

  • The system assessed the entire testing process, not just analysis.

    • Main Results:

    • The blind PT model proved feasible, with 22 laboratories participating.
    • Interlaboratory coefficients of variation for CD4+ count ranged from 10% to 66%, and for CD4+ percent from 4% to 15%.
    • The cost per specimen for blind PT was $437.65, significantly higher than non-blinded PT.

    Conclusions:

    • Blind proficiency testing for T-lymphocyte immunophenotyping is a viable method for assessing laboratory performance.
    • While feasible, blind PT incurs higher costs compared to traditional methods.
    • The developed model effectively evaluates broader aspects of the laboratory testing process beyond mere analysis.