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. Copyright 2007 Clinical Cytometry Society.
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. Copyright 2007 Clinical Cytometry Society.
Authors: N L Korpi-Steiner; D Sheerar; E B Puffer; C Urben; J Boyd; A Guadarrama; K Schell; L C Denlinger Journal: Cytometry B Clin Cytom Date: 2008-09 Impact factor: 3.058
Authors: N Feller; V H J van der Velden; R A Brooimans; N Boeckx; F Preijers; A Kelder; I de Greef; G Westra; J G Te Marvelde; P Aerts; H Wind; M Leenders; J W Gratama; G J Schuurhuis Journal: Blood Cancer J Date: 2013-08-02 Impact factor: 11.037
Authors: Carla Cristina Pedrosa de Lira de Morais; Juliana Dias Alves Pinto; Karen Wagner de Souza; Marina Izu; Luis Fernando da Silva Bouzas; Flávio Henrique Paraguassú-Braga Journal: Hematol Transfus Cell Ther Date: 2020-12-04