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1.
Cytometry B Clin Cytom ; 74(2): 79-90, 2008 Mar.
Article in English | MEDLINE | ID: mdl-17849485

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.


Subject(s)
Flow Cytometry/statistics & numerical data , Hematologic Diseases/blood , Hematologic Diseases/diagnosis , Hematology/statistics & numerical data , Laboratories/statistics & numerical data , Belgium , CD4 Lymphocyte Count/standards , CD4 Lymphocyte Count/statistics & numerical data , CD4-CD8 Ratio , CD8-Positive T-Lymphocytes/cytology , Clinical Laboratory Techniques/standards , Clinical Laboratory Techniques/statistics & numerical data , Evaluation Studies as Topic , Flow Cytometry/standards , Flow Cytometry/trends , Hematology/standards , Hematology/trends , Humans , Immunophenotyping , Laboratories/standards , Laboratories/trends , Luxembourg , Lymphocyte Count/standards , Lymphocyte Count/statistics & numerical data , Netherlands , Observer Variation , Quality Control , Reference Standards , Reproducibility of Results , Retrospective Studies , Selection Bias , Surveys and Questionnaires , Time Factors
2.
Cytometry B Clin Cytom ; 72(3): 178-88, 2007 May.
Article in English | MEDLINE | ID: mdl-17397065

ABSTRACT

BACKGROUND: A biannual external quality assurance (EQA) scheme for flow cytometric CD34+ haematopoietic stem cell enumeration has been operational in the Benelux countries since 1996. In an evaluation of the results of 16 send-outs, we studied the effects of the methods used on assay outcome and whether or not this exercise was effective in reducing between-laboratory variation. METHODS: Data were analyzed using robust multivariate regression. This approach is relatively insensitive to outliers and is used to assess the effect of methodological aspects of CD34+ cell counting on the bias and variability. RESULTS: Five variables were associated with significant bias of absolute CD34+ cell counts: (i) unique laboratory number (ULN), (ii) gating strategy; (iii) CD34 mAb fluorochrome; (iv) type of flow cytometer, and (v) method of sample preparation. In addition, ULN and platform methodology (i.e., single vs. dual) contributed significantly to the variability of this assay. Overall, the variability in results of CD34+ cell enumeration has declined with time; in particular, after a practical workshop in which participants were trained to use the "single platform ISHAGE protocol." CONCLUSIONS: Between-laboratory variation in CD34+ cell enumeration can be reduced by standardization of methodologies between centres. Our approach, i.e., EQA with targeted training and feedback in response to reported results, has been successful in reducing the variability of CD34+ cell enumeration between participants.


Subject(s)
Antigens, CD34/analysis , Blood Cell Count/standards , Flow Cytometry/methods , Hematopoietic Stem Cells/cytology , Belgium , Blood Cell Count/instrumentation , Blood Cell Count/methods , Flow Cytometry/instrumentation , Fluorescent Dyes/standards , Humans , Luxembourg , Netherlands , Quality Control , Reagent Kits, Diagnostic/standards , Reference Values , Retrospective Studies , Time Factors
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