Literature DB >> 17849485

Flow cytometric lymphocyte subset enumeration: 10 years of external quality assessment in the Benelux countries.

Wilfried H B M Levering1, Wessel N van Wieringen, Jaco Kraan, Wil A M van Beers, Kees Sintnicolaas, Dick J van Rhenen, Jan W Gratama.   

Abstract

A biannual external quality assessment (EQA) scheme for flow cytometric lymphocyte immunophenotyping is operational in the Benelux countries since 1996. We studied the effects of the methods used on assay outcome, and whether or not this EQA exercise was effective in reducing between-laboratory variation. Eighty test samples were distributed in 20 biannual send-outs. Per send-out, 50-71 participants were requested to enumerate CD3+, CD4+, and CD8+ T cells, B cells, and NK cells, and to provide methodological details. Participants received written debriefings with personalized recommendations after each send-out. For this report, data were analyzed using robust multivariate regression. Five variables were associated with significant positive or negative bias of absolute lymphocyte subset counts: (i) platform methodology (i.e., single-platform assays yielded lower CD4+ and CD8+ T-cell counts than did dual-platform assays); (ii) sample preparation technique (i.e., assays based on mononuclear cells isolation yielded lower T-cell counts than those based on red cell lysis); (iii) gating strategies based on CD45 and sideward scatter gating of lymphocytes yielded higher CD4+ T-cell counts than those based on "backgating" of lymphocytes guided by CD45 and CD14); (iv) stabilized samples were generally associated with higher lymphocyte subset counts than nonstabilized samples; and (v) laboratory. Platform methodology, sample stabilization, and laboratory also affected assay variability. With time, assay variability tended to decline; this trend was significant for B-cell counts only. In addition, significant bias and variability of results, independent of the variables tested for in this analysis, were also associated with individual laboratories. In spite of our recommendations, participants tended to standardize their techniques mainly with respect to sample preparation and gating strategies, but less with absolute counting techniques. Failure to fully standardize protocols may have led to only modest reductions in variability of results between laboratories. (c) 2007 Clinical Cytometry Society

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Year:  2008        PMID: 17849485     DOI: 10.1002/cyto.b.20370

Source DB:  PubMed          Journal:  Cytometry B Clin Cytom        ISSN: 1552-4949            Impact factor:   3.058


  7 in total

1.  Laboratory Accuracy Improvement in the UK NEQAS Leucocyte Immunophenotyping Immune Monitoring Program: An Eleven-Year Review via Longitudinal Mixed Effects Modeling.

Authors:  John Bainbridge; Wes Rountree; Raul Louzao; John Wong; Liam Whitby; Thomas N Denny; David Barnett
Journal:  Cytometry B Clin Cytom       Date:  2017-05-16       Impact factor: 3.058

Review 2.  Modeling flow cytometry data for cancer vaccine immune monitoring.

Authors:  Jacob Frelinger; Janet Ottinger; Cécile Gouttefangeas; Cliburn Chan
Journal:  Cancer Immunol Immunother       Date:  2010-06-19       Impact factor: 6.968

3.  Quantification of cells with specific phenotypes I: determination of CD4+ cell count per microliter in reconstituted lyophilized human PBMC prelabeled with anti-CD4 FITC antibody.

Authors:  Richard Stebbings; Lili Wang; Janet Sutherland; Martin Kammel; Adolfas K Gaigalas; Manuela John; Bodo Roemer; Maren Kuhne; Rudolf J Schneider; Michael Braun; Andrea Engel; Dinesh K Dikshit; Fatima Abbasi; Gerald E Marti; Maria Paola Sassi; Laura Revel; Sook-Kyung Kim; Marc-Olivier Baradez; Tamara Lekishvili; Damian Marshall; Liam Whitby; Wang Jing; Volker Ost; Maxim Vonsky; Jörg Neukammer
Journal:  Cytometry A       Date:  2015-02-05       Impact factor: 4.355

Review 4.  A Critical Review on the Standardization and Quality Assessment of Nonfunctional Laboratory Tests Frequently Used to Identify Inborn Errors of Immunity.

Authors:  Sandro Félix Perazzio; Patricia Palmeira; Dewton Moraes-Vasconcelos; Andréia Rangel-Santos; João Bosco de Oliveira; Luis Eduardo Coelho Andrade; Magda Carneiro-Sampaio
Journal:  Front Immunol       Date:  2021-11-09       Impact factor: 7.561

5.  Viral load levels measured at set-point have risen over the last decade of the HIV epidemic in the Netherlands.

Authors:  Luuk Gras; Suzanne Jurriaans; Margreet Bakker; Ard van Sighem; Daniela Bezemer; Christophe Fraser; Joep Lange; Jan M Prins; Ben Berkhout; Frank de Wolf
Journal:  PLoS One       Date:  2009-10-07       Impact factor: 3.240

6.  Has the rate of CD4 cell count decline before initiation of antiretroviral therapy changed over the course of the Dutch HIV epidemic among MSM?

Authors:  Luuk Gras; Ronald B Geskus; Suzanne Jurriaans; Margreet Bakker; Ard van Sighem; Daniela Bezemer; Christophe Fraser; Jan M Prins; Ben Berkhout; Frank de Wolf
Journal:  PLoS One       Date:  2013-05-27       Impact factor: 3.240

7.  Flow Cytometric Analyses of Lymphocyte Markers in Immune Oncology: A Comprehensive Guidance for Validation Practice According to Laws and Standards.

Authors:  Claude Lambert; Gulderen Yanikkaya Demirel; Thomas Keller; Frank Preijers; Katherina Psarra; Matthias Schiemann; Mustafa Özçürümez; Ulrich Sack
Journal:  Front Immunol       Date:  2020-09-17       Impact factor: 7.561

  7 in total

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