scholarly journals Use of Neutrophil Cell Population Data for the Detection of Neutrophil Hypergranulation and Other Neutrophil Inclusions As Dohle Bodies, Cytoplasm Vacuolation

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4966-4966
Author(s):  
Alan Neal ◽  
Ramon Simon-Lopez ◽  
Susanna Barella
Keyword(s):  
Cell Population ◽  
Roc Analysis ◽  
Laser Light ◽  
Conflicts Of Interest ◽  
Morphological Changes ◽  
Numerical Data ◽  
Population Data ◽  
Blood Film ◽  
Additional Information ◽  
Neutrophil Degranulation

Abstract Neutrophil hypergranulation, Dohle Bodies and Neutrophil vacuolation (Neutrophil Toxic Changes) are morphological cell changes seen in a number of clinically significant situations e.g. Bacterial Infection, Myelodysplastic Syndromes, etc. With increased automation, auto validation and reduced blood film review rates within Haematology, clinically important Neutrophil morphological changes may be missed, with potential delay in patient management / treatment. The detection/flagging of Neutrophil degranulation using Cell Population Data has been previously published (Laboratory Haematology 13:98-102, 2007), but there are no published DxH references for the detection / flagging of Neutrophil Toxic Changes, especially using the new CPD data from DxH 800. Cell Population Data (CPD) - numerical data developed through VCS technology (Volume, Conductivity, Scatter Laser (Light scattering) 3D cube on DxH800 & LH700 series instruments, gives additional information about the leukocytes analysed. This data is available as part of the Research cell population Data, around 8200 leukocyte events are anlaysed and the information reported as the Mean and SD of each leukocyte population. Additionally the DxH 800 uses five angles of Laser Light Scatter called: AL2, MALS, LMALS, UMALS and LALS. Study: We have identified 89 consecutive routine cases with Neutrophil Toxic Changes (NTC) and compared our data with normal cases (31). This information was analysed to identify the Neutrophil CPD that permit the detection of Neutrophil toxic changes. This discriminant CPD function was subsequently used to re-evaluate the same 89 samples with NTC, from a pool of samples from a routine lab (149 normal samples and 555 pooled abnormal samples) to determine the efficiency of the parameters found. Analysis of this data identified that the best parameter was the Neutrophil Standard Deviation of Axial Light Loss (SD-AL2-NE ): Abstract 4966. Table ROC analysis of 89 cases with NTC compared with 31 normal casesMean NormalMean NE Toxic ChangesStudent T-test pAUCSENSSPECIFCUT-OFF Sign.ROCn3189SD-AL2-NE8.874213.9263p < 0.00010.98692.1100>10.31 p < 0.0001MN-LMALS-NE139.2903122.5843p < 0.00010.90983.190.3<133 p < 0.0001SD-LMALS-NE11.57115.1412p < 0.00010.88871.996.8>12.79 p < 0.0001SD-MALS-NE9.19911.3715p < 0.00010.88580.993.5>9.75 p < 0.0001SD-LALS-NE27.627738.85p = 0.12090.86580.996.8>28.57 p < 0.0001 Table ROC analysis of 89 cases with NTC compared with 704 pooled samples (149 normal 555 pooled abnormal) AUC SENS SPECIF CUT-OFF Sign.ROC SD-AL2-NE 0.94 95.5 86.4 >10.75 p < 0.0001 MN-LMALS-NE 0.89 85.4 85.2 <134.9 p < 0.0001 SD-LMALS-NE 0.844 84.3 73.8 >13.1 p < 0.0001 SD-MALS-NE 0.835 82 76.3 >10.51 p < 0.0001 SD-LALS-NE 0.83 79.8 80.3 >28.27 p < 0.0001 We believe that adding this decision rule to the DxH800 instrument workstation - IF SD-AL2-NE > >10.75 then “Suspect flag of Neutrophil Cytoplasmic Toxic Changes (Dohle, Hypergran, Vacuoles)” may help to detect cases with these neutrophil abnormalities. We suggest that First time presentations with this suspect flag should result in the examination of the blood smear review the presence of these cell abnormalities. Prospective studies are necessary to validate these preliminary results. Disclosures No relevant conflicts of interest to declare.

Cell Population Data As a Predictor of Stem Cell Aphaeresis Efficiency

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 2991-2991
Author(s):  
Yekaterina Zueva ◽  
Vera Golubeva
Keyword(s):  
Stem Cells ◽  
Correlation Coefficient ◽  
Cell Population ◽  
Peripheral Blood ◽  
Morphological Changes ◽  
Population Data ◽  
Hematopoietic Stem ◽  
Significance Level ◽  
Cellular Analysis ◽  
Cd34 Cells

Abstract Abstract 2991 Introduction: Autologous Hematopoietic Stem Cell Transplantation (AHSCT) is a necessary component of treatment for many oncohaemathological diseases. For success of AHSCT a sufficient quantity of Hematopoietic Stem Cells (HSC) are needed. The estimation of the quantity of HSC post aphaeresis is vital. The procedure of aphaeresis is time consuming and expensive but the CD34+ count (equivalent to HSC) measured by traditional flow cytometry, in peripheral blood can predict the quality of the aphaeresis product but is much more expensive than a complete blood count. It has been proposed that morphological changes of myeloid cells detected by some hematological analyzers could reflect the processes of bone marrow stimulation and may provide useful information for the prediction of the efficiency of stimulation and expected outcome of CD34+ stem cells. Materials and methods: Nine patients, 7 with multiple myeloma and 2 with Hodgkins disease were studied after informed consent: 8 female, 1 male, age range 21 to 59. Patients received the standard dose G-CSF, protocol-driven chemotherapy +G-CSF (dose=5 mcg/kg/day). Initial mobilization typically processed 10–12 liters of blood. The Beckman Coulter Cellular Analysis System DxH800 performs Flow Cytometric Digital Morphology analysis of leukocytes with measurement of cell volume (impedance), internal complexity and nucleo/cytoplasm ratio (cell conductivity in the radio-frequency current) and granularity (measurement of 5 angles of light scatter). All these measurements (Mean and Standard Deviations (SD)) are reported as numerical values, called Cell Population Data (CPD). Analysis of CD34+ stem cells was performed on FC500 Flow Cytometer with Stem Kit (Beckman Coulter) using the single-platform ISHAGE protocol. All patients were followed-up daily, starting from the day before G-CSF administration. Results: For patients, responding to therapy (8 from 9 included in the study) an increase in Ne CPD - Neutrophil Mean Volume (NeMV), and Neutrophil SD Volume (NeSDV) was seen from 2 to 4 days before the increase in CD34+ count in peripheral blood. The calculated parameter, Ne Immaturity Index (ImmNeIndex), using the formula (NeMV × NeSDV)/100 was introduced for the analysis. Patients that responded to the stimulation had an increase in NeMV greater than 15%, increase in NeSDV more than 60% and increase in ImmNeIndex more that 85% compared to the values pre- treatment. There was significant correlation between CD34+ and NeMV (correlation coefficient = 0.491, significance level P=0.0011, n=41), CD34+ and NeSDV (correlation coefficient = 0.418, significance level P=0.0065, n=41) and CD34+ and Imm Ne Index (correlation coefficient = 0.489, significance level P=0.0012, n=41). Patients were classified into 3 groups according to %CD34+ cells in peripheral blood at the end of one cycle of stimulation with NeMV, NeSDV and ImmNeIndex (Table 1), and this estimation can give information for the best time for harvest of CD34+ cells after aphaeresis. ROC curve analysis with MedCalc Software (Mariakerke, Belgium) showed that patients with % CD34+ cells higher than 0.2% in peripheral blood can be detected with NeMV (AUC 0. 903, cut-off 162, sensitivity 93%, specificity 89%) and Imm Ne Index (AUC 0.847 cut-off >41.43, sensitivity 93%, specificity 70%). Discussion: Cell Population Data available from Beckman Coulter Cellular Analysis System DxH800 are able to detect morphological changes in the cell size of neutrophils and anisocytosis of neutrophil population. These morphological features follow the stimulation of the bone marrow activity and the production of immature cells, including CD34+ cells. Changes in CPD were detectable 2–4 days before the observed increase in CD34+ count in the peripheral blood and can improve the management of patients. These parameters available on the routine haematological analyser without any additional cost or time can be used as additional criteria in the laboratory to make the decision about timing of aphaeresis for patients after the G-CSF stimulation. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Cell population data in identifying active tuberculosis and community-acquired pneumonia

Open Medicine ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. 1143-1149
Author(s):  
Tingting Sun ◽  
Bin Wu ◽  
Zhonglan Luo ◽  
Jing Wang ◽  
Shaoli Deng ◽  
...  
Keyword(s):  
Cell Population ◽  
Roc Curve ◽  
Morphological Changes ◽  
Area Under The Curve ◽  
Population Data ◽  
Community Acquired Pneumonia ◽  
Active Tuberculosis ◽  
Diagnostic Efficacy ◽  
Neutrophil Percentage ◽  
Wbc Count

Abstract Objective Leukocyte morphological parameters known as CPD (cell population data) is detected by hematology analyzer UniCel DxH800 with VCS technology. This study aimed to investigate the diagnostic efficacy of morphological changes in CPD parameters in distinguishing active tuberculosis from community-acquired pneumonia. Methods From October 2018 to February 2019, 88 patients with active tuberculosis, 78 patients with community-acquired pneumonia, and 89 healthy controls were enrolled in this study. CPD was obtained using Unicel DxH800 analyzer for all whole blood samples, one-way ANOVA (non-parametric) and area analysis under ROC curve were performed. Results The neutrophil mean conductivity (NMC), monocyte mean volume (MMV), monocyte mean conductivity (MMC), lymphocyte percentage (LY%), and monocyte percentage (MO%) were significantly higher in the active tuberculosis group than in the community-acquired pneumonia group. The white blood cell (WBC) count and neutrophil percentage (NE%) were significantly lower in the active tuberculosis group than in the community-acquired pneumonia group. The analysis of the area under the ROC curve proved that WBC count, neutrophil percentage (NE%), lymphocyte percentage (LY%), and monocyte percentage (MO%) did not achieve a higher area under the curve (AUC: 0.63, 0.71, 0.62, and 0.7, respectively). However, the AUC of NMC, MMV, and MMC in the CPD parameters was 0.951, 0.877, 0.98, respectively, and the simultaneous measurement of the three parameters was 0.99. The sensitivity and specificity were 98.5% and 91.1%, respectively. Conclusion The combined diagnosis of NMC, MMV, and MMC could assist the clinical diagnosis of active tuberculosis and community-acquired pneumonia.

scholarly journals Determining Postoperative Thrombocyte Reduction Cut Off to Predict 30-Day Mortality in Patients Undergo Coronary Artery Bypass Graft Surgery

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4914-4914
Author(s):  
Ikhwan Rinaldi ◽  
Arif Mansjoer
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Analysis ◽  
Conflicts Of Interest ◽  
Artery Bypass ◽  
Bypass Graft ◽  
Area Under The Curve ◽  
Early Mortality ◽  
Receiver Operating Curve ◽  
Thrombocyte Count ◽  
Cabg Surgery

Background There are many factors associated with early mortality after CABG, including postoperative thrombocytopenia (Kertai, 2016). Many factors during CABG surgery, such as administration of heparin or cardio pulmonary bypass during surgery are related to thrombocyte count reduction (Hamid, Akhtar, Naqvi, & Ahsan, 2017; Arepally, 2017). However, it is possible for a post-CABG patient to suffer a significant thrombocyte reduction without reaching the thrombocytopenic state (thrombocyte count <150000/µL). Up to this time, there is still lack of study about association between thrombocyte reduction after surgery and 30-day mortality in patients undergo CABG. This study aim to determine cut off point for postoperative thrombocyte reduction as a predictor of 30-day mortality after CABG surgery. Method This is a retrospective cohort study using medical record of 263 adult patients who underwent CABG surgery in dr. Ciptomangunkusumo National Hospital on 2012-2015. Thrombocyte reduction was determined by substracting preoperative thrombocyte count from postoperative thrombocyte count. Receiver operating curve (ROC) analysis between percentage of thrombocyte reduction and 30-day mortality after surgery was done to obtain the sensitivity and specificity value of a particular degree of thrombocyte reduction. Cut off point was obtained from intersection between sensitivity and specificity value. Result Thirty-day mortality rate after CABG surgery in this study was 11.9%. Cut off point obtained from ROC analysis was 30% with area under the curve (AUC) 0.671. The sensitivity of this cut off point to predict early mortality after CABG surgery was 64.5%, while the specificity was 64.7% Conclusion Thrombocyte reduction more than or equal to 30% can be used as a predictor of 30-day mortality after CABG surgery. Figure Disclosures No relevant conflicts of interest to declare.

scholarly journals Ursolic acid benzaldehyde chalcone leads to inhibition of cell proliferation and arrests cycle in G1/G0 phase in ovarian cancer

2015 ◽  
Vol 10 (2) ◽  
pp. 358
Author(s):  
Yan Jia ◽  
Zan-Hui Jia ◽  
Jun Chen ◽  
He Zhu ◽  
Man-Hua Cui
Keyword(s):  
Ovarian Carcinoma ◽  
Ursolic Acid ◽  
Cell Population ◽  
Morphological Changes ◽  
Carcinoma Cells ◽  
High Concentration ◽  
Ovarian Carcinoma Cells ◽  
Promising Agent ◽  
Cell Cytosol ◽  
G0 Phase

<p>In the present study, the effect of ursolic acid benzaldehyde chalcone (UABC) on ovarian carcinoma cells was studied. The results revealed that ovarian carcinoma cells on UABC treatment increased Sub-G1 cell population, increased rate of cell apoptosis and morphological changes in mitochondrial membrane. In OVCAR 432 cells treatment with UABC increased the Sub-G1 cell population to 72.3% and growth inhibition rate of &gt;72%. Treatment with 20 µM of UABC for 48 hours, led to an induction of apoptosis in 67.2% and induced morphological changes in OVCAR 432 cells. The Western blot results showed high concentration of cytochrome c in the cell cytosol after 48 hours of UABC treatment. Treatment of RMS-13 cells with UABC resulted in inhibition of GLI1, GLI2, PTCH1, and IGF2 genes. In addition, we found a significant reduction in hedgehog activity of RMS-13 cells after UABC treatment by means of a hedgehog-responsive reporter assay. Therefore, UABC can be a promising agent for the treatment of ovarian carcinoma.</p>

scholarly journals Artificial Intelligence based Models for Screening of Hematologic Malignancies using Cell Population Data

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Shabbir Syed-Abdul ◽  
Rianda-Putra Firdani ◽  
Hee-Jung Chung ◽  
Mohy Uddin ◽  
Mina Hur ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Cell Population ◽  
Population Data ◽  
Hematologic Malignancies
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