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Related Experiment Videos

Variability in absolute lymphocyte counts obtained by automated cell counters

E Simson1, W Groner

  • 1Department of Pathology, Long Island Jewish Medical Center, New Hyde Park, NY 11040, USA.

Cytometry
|March 15, 1995
PubMed
Summary
This summary is machine-generated.

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Analytic variability in absolute lymphocyte counts is significant, exceeding that of total white blood cell (WBC) counts. This variability, mainly from automated methods, impacts accuracy for lymphocyte subsets like CD4+ counts.

Area of Science:

  • Hematology
  • Clinical Laboratory Science
  • Immunology

Background:

  • Increasing interest in absolute lymphocyte counts, particularly for monitoring human immunodeficiency virus (HIV) patients.
  • Absolute lymphocyte counts are crucial for determining lymphocyte subset values, such as absolute CD4+ counts.
  • Current methods combine routine hematology results with flow cytometry data.

Purpose of the Study:

  • To investigate the analytic variability in absolute lymphocyte count determination.
  • To compare the variability of absolute lymphocyte counts with that of total white blood cell (WBC) counts.
  • To assess the impact of different automated methods on lymphocyte count accuracy.

Main Methods:

  • Comparison of four automated cell counters (Technicon H*1, TOA NE8000, Coulter STKS, Abbott CD3000) against each other and manual eye counts.

Related Experiment Videos

  • Analysis of 524 patient specimens.
  • Evaluation of analytic variability for absolute lymphocyte counts and total WBC counts.
  • Main Results:

    • Analytic variability for absolute lymphocyte counts was 12.4%, significantly higher than the 4.9% for total WBC counts.
    • Method variability was the primary driver of analytic variability in absolute lymphocyte counts.
    • Variability in absolute lymphocyte counts exceeded that typically seen in interlaboratory trials for relative CD4 counts.

    Conclusions:

    • Significant analytic variability exists in automated absolute lymphocyte count methods.
    • Method-specific biases in cell classification algorithms limit calibration effectiveness.
    • Expressing flow cytometry results as fractions of leukocytes and total lymphocytes, with subsequent WBC count determination, may yield more precise absolute values.