Literature DB >> 7587730

Variability in absolute lymphocyte counts obtained by automated cell counters.

E Simson1, W Groner.   

Abstract

There is increasing interest in the absolute lymphocyte count. This is partly driven by the need to obtain absolute values for lymphocyte subsets such as absolute CD4+ counts in human immunodeficiency virus (HIV)-infected persons. The absolute total lymphocyte count is usually determined in the routine hematology laboratory on a separate sample from the same patient specimen and then combined with percentage results from flow cytometry to obtain the absolute value of the lymphocyte subsets. We have studied analytic variability in the absolute lymphocyte determination and compared it to the variability of the total white blood count (WBC). In a series of 524 specimens, four different automated methods were compared to each other and to the traditional eye count differential. The automated methods were four widely used automated cell counters (Technicon H*1, TOA NE8000, Coulter STKS, and Abbott CD3000). The results indicate that analytic variability in the absolute lymphocyte counts, due, primarily, to method variability, is significant and is larger than the variability typically observed on interlaboratory trials of relative CD4 counts. These method biases cannot easily be reduced by calibration, since the cell classification algorithms are built-in features of the various cell counters. Analytic variability of the absolute lymphocyte counts was found to be 12.4% compared with analytic variability of only 4.9% for total WBC counts on the same samples. Our data suggest that more precise results would be obtained if flow cytometry results expressed each phenotype as a fraction of the leukocytes as well as total lymphocytes. Conversion to absolute values could then be accomplished through determination of the total WBC in the routine hematology laboratory.

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Year:  1995        PMID: 7587730     DOI: 10.1002/cyto.990220106

Source DB:  PubMed          Journal:  Cytometry        ISSN: 0196-4763


  7 in total

1.  Affordable CD4(+)-T-cell counting by flow cytometry: CD45 gating for volumetric analysis.

Authors:  George Janossy; Ilesh V Jani; Nicholas J Bradley; Arsene Bikoue; Tim Pitfield; Debbie K Glencross
Journal:  Clin Diagn Lab Immunol       Date:  2002-09

2.  The Italian quality control study for evaluation of CD4 cells in centres involved in the treatment of HIV-1 patients. Italian CD4 Quality Control Group.

Authors:  F Pandolfi; C Alario; E Girardi; L Rava; G Ippolito; A Kunkl; F Aiuti
Journal:  Clin Exp Immunol       Date:  1998-03       Impact factor: 4.330

3.  CD4 Count in HIV- Brain-Dead Donors: Insight into Donor Risk Assessment for HIV+ Donors.

Authors:  Oscar Kenneth Serrano; Scott Kerwin; William D Payne; Timothy L Pruett
Journal:  Transplantation       Date:  2017-04       Impact factor: 4.939

4.  Validation of a single-platform, volumetric, CD45-assisted PanLeucogating Auto40 flow cytometer to determine the absolute number and percentages of CD4 T cells in resource-constrained settings using Cameroonian patients' samples.

Authors:  François-Xavier Mbopi-Kéou; Stefano Mion; Bertrand Sagnia; Laurent Bélec
Journal:  Clin Vaccine Immunol       Date:  2012-02-15

5.  Single-platform, volumetric, CD45-assisted pan-leucogating flow cytometry for CD4 T lymphocytes monitoring of HIV infection according to the WHO recommendations for resource-constrained settings.

Authors:  Donato Koyalta; Mohammad-Ali Jenabian; Ngamasra Nadjiouroum; Barou Djouater; Noël Djemadji-Oudjeil; Angélique Ndjoyi-Mbiguino; Laurent Bélec
Journal:  BMC Res Notes       Date:  2013-04-30

6.  Comparison of two methodologies for CD4⁺ T lymphocytes relative counting on immune monitoring of patients with human immunodeficiency virus.

Authors:  Danielle Cristyane Kalva Borato; Emerson Carraro; Sônia Regina Weber Ribas; Carlos Augusto Kalva-Filho; José Carlos Rebuglio Vellosa
Journal:  ScientificWorldJournal       Date:  2012-11-28

7.  Field evaluation in Chad of community usage of CD4 T lymphocyte counting by alternative single-platform flow cytometry.

Authors:  Donato Koyalta; Mohammad-Ali Jenabian; Barou Djouater; Noël Djemadji-Oudjeil; Francois-Xavier Mbopi-Keou; Angélique Ndjoyi-Mbiguino; Laurent Bélec
Journal:  BMC Health Serv Res       Date:  2013-10-01       Impact factor: 2.655

  7 in total

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