Identification of cell morphology parameters from automatic hematology analyzers to predict the peripheral blood CD34-positive cell count after mobilization

<div><p>Optimal timing of apheresis initiation is important for maximizing the hematopoietic stem cell (HSC) yield. This study aimed to identify useful parameters from automatic hematology analyzers for predicting the peripheral blood CD34+ cell count after mobilization. We prospectively enrolled 53 healthy donors and 72 patients, and evaluated 43 cell morphology parameters from Unicel DxH800 (Beckman Coulter, USA) and Advia 2120i (Siemens Healthcare Diagnostics, USA). The correlation of each parameter with the CD34+ cell count in pre-apheresis blood samples was analyzed. The delta neutrophil index (DNI) from Advia 2120i, standard deviation of volume of neutrophils and monocytes (SD-V-NE and SD-V-MO), standard deviation of conductivity of neutrophils and monocytes (SD-C-NE and SD-C-MO), mean conductivity of neutrophils and monocytes (MN-C-NE and MN-C-MO), and standard deviation of axial light loss of neutrophils and monocytes (SD-AL2-NE and SD-AL2-MO) from DxH800 showed significant correlations with the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO showed good or fair area under the curve values for the prediction of the CD34+ cell count. SD-V-NE, SD-C-NE, and SD-C-MO from DxH800 will provide rapid, useful information for the initiation of apheresis after mobilization.</p></div

Diagnostic performances of FNA and FNA with additional BRAF^V600E mutation analysis in the detection of malignancy according to US features and size of the nodules.^*^.

<p>Abbreviations: FNA, fine-needle aspiration; US, ultrasound; PPV, positive predictive value; NPV, negative predictive value.</p>*<p>Data presented in parentheses are number of nodules.</p>†<p><i>P</i> values were calculated using generalized estimating equation analysis.</p

Cytological diagnoses of 518 nodules according to initial fine-needle aspiration results.^*

*<p>Except where noted, data are number/total number (%).</p

Diagram of study population.

<p>A total of 518 nodules in 479 patients were finally included in this study, and 331 nodules from 300 patients were confirmed pathologically, and 187 nodules from 182 patients were clinically observed by follow-up FNA (n = 112) or follow-up US (n = 75). Abbreviations: US-FNA, ultrasound-guided fine-needle aspiration; FN, follicular neoplasm; Op, operation; FU US, follow-up ultrasound; FU FNA, follow up fine-needle aspiration; FNA, fine-needle aspiration.</p

Factors associated with mobilization outcomes in the univariate analysis^a.

<p>Factors associated with mobilization outcomes in the univariate analysis<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0179986#t004fn001" target="_blank">^a</a>.</p

Flow diagram of target polymorphism selection.

<p>The diagram indicates inclusion and exclusion criteria for selection of target polymorphism.</p

Correlations between rs11264422 genotype and continuous outcomes.

<p>There were significant associations between rs11264422 genotype and (A) circulating CD34+ cells/μL (raw <i>P</i> = 0.03), (B) total CD34+ cells/kg (raw <i>P</i> = 0.008), and (C) product CD34+ cells/μL (raw <i>P</i> = 0.003) in the Korean set (gray-colored bar). However, no statistically significant association was found between rs11264422 genotype and circulating CD34+ cells/μL in the European set (solid-lined bar). Mobilization outcomes were applied natural log transformation, due to the skewed distribution.</p

Factors associated with log-transformed mobilization outcomes in the multivariate linear regression analysis in the Korean set.

<p>Factors associated with log-transformed mobilization outcomes in the multivariate linear regression analysis in the Korean set.</p