title: Integration of Immature Granulocytes Quantification With the Version 2.0 UniCel DxH 800 in the HematoFlow Strategy.
abstract: OBJECTIVE
  Our aim was to define whether the early granulocyte cell marker (EGC%_DxH) parameter might replace immature granulocytes counts obtained by HematoFlow (IG%_HF) and/or manual differential count (IG%_manual).
  
  
  METHODS
  We conducted a study over a 10-day period in February 2014 whereby 402 samples were analyzed for the IG flag. We correlated the EGC%_DxH vs IG%_HF and IG%_manual, identified any discrepant results and finally looked at the impact on our workflow by incorporation of the EGC% into our WBC differential algorithm.
  
  
  RESULTS
  On an initial training set, a receiver operating characteristic (ROC) curve analysis showed a threshold of 0.9% for EGC%_DxH (sensitivity of 91.7%, specificity of 93.5% and an area under the curve of 0.965). Further analysis of the dataset (259 samples) found a correlation of the EGC%_DxH to all our IG% counting methods (r = 0.963). Incorporation of the EGC%_DxH into the WBC HematoFlow differential resulted in a 36% reduction of samples requiring HematoFlow and/or slide review.
  
  
  CONCLUSIONS
  The EGC% generated by the DxH 800 can be easily incorporated into existing HematoFlow and slide review algorithms.
authors.affiliation: From the Hematology Laboratory CHU de Rennes, Pôle Biologie, Rennes, France EFS Bretagne, Rennes, France.
authors.forename: Cedric
authors.initials: C
authors.lastname: Pastoret
authors.affiliation: From the Hematology Laboratory CHU de Rennes, Pôle Biologie, Rennes, France.
authors.forename: Beatrice
authors.initials: B
authors.lastname: Ly Sunnaram
authors.affiliation: From the Hematology Laboratory CHU de Rennes, Pôle Biologie, Rennes, France EFS Bretagne, Rennes, France.
authors.forename: Thierry
authors.initials: T
authors.lastname: Fest
authors.affiliation: From the Hematology Laboratory CHU de Rennes, Pôle Biologie, Rennes, France EFS Bretagne, Rennes, France. mikael.roussel@chu-rennes.fr.
authors.forename: Mikael
authors.initials: M
authors.lastname: Roussel
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D019540:Area Under Curve; D015415:Biomarkers / Q000032:analysis*; D002648:Child; D005260:Female; D005434:Flow Cytometry / Q000379:methods; D006098:Granulocytes / Q000473:pathology*; D006801:Humans; D016130:Immunophenotyping / Q000379:methods*; D007958:Leukocyte Count / Q000379:methods*; D008297:Male; D008875:Middle Aged; D012372:ROC Curve; D012680:Sensitivity and Specificity
chemical_list: D015415:Biomarkers
keywords: DxH 800; EGC; HematoFlow; Immature granulocytes; Productivity; Slide review rates; WBC differentials