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Introduction: The utility of WBC cell population data (CPD) for the differential diagnosis of viral infection from normal control, bacterial infection, and tuberculosis in children was investigated. Methods: A data set of 602 total whole-blood samples were analyzed on the DxH 800 System for complete blood cell count (CBC) with leukocyte differential from children with the following sample breakdown: 77 confirmed diagnoses of viral infections (Epstein-Barr virus; 30, influenza A; 19, rota virus; 11, other viruses;17), 54 normal control, 71 bacterial infection, 17 TB patients, and 383 with various diseases. The mean (MN) and standard deviation (SD) of the volume (V), conductivity (C), five light-scatter measurements, and 14 calculated parameters were obtained for the leukocytes. Results: Using a combination of the CBC and CPD parameter values, a decision rule, composed of 21 parameters, for the screening of viral infection in children was developed. Using this decision rule, 74 of 77 (96.1%) viral infections, two of 54 (3.7%) normal samples, one of 17 (5.9%) TB, and six of 71 (8.5%) bacterial infection samples were identified. The sensitivity was 96.1%, and specificity for normal control was 96.3% with an overall specificity of 93.7%. Fifty-nine samples of 383 samples (15.4%) collected from in-patient children with various diseases without confirmation of viral infection were included in this decision rule. Conclusion: In conclusion, the implementation of leukocytes CPD parameters can be useful in the detection of viral infection in children. [ABSTRACT FROM AUTHOR]

Introduction The main goal of this study was to develop a multiparametric cell population data ( CPD) model that combines information from several morphologic parameters generated by DxH800, in addition to the traditional parameters regularly reported in the CBC-diff, and to test the performance of this model in screening the general population for primary tuberculosis ( TB). Methods A total of 3741 study cases were divided into two groups, test and validation set at cut-off value of 6000 WBCs/μL. We developed multiparametric model for primary TB screening ( TB hemeprint), selected CPD, and calculated parameters which could discriminate primary TB from other non- TB diseases and normal control in test set. We applied it to the validation set, which was a set of completely different samples, to test its reproducibility if applied to a routine laboratory test. Results After screening primary TB using TB hemeprint, sensitivity, specificity, PPV, and NPV were 85.4%, 89.6%, 31.1%, and 99.1%, respectively, in primary TB with lower than 6000 WBCs/μL of test set (test set-L). In primary TB with higher than 6000 WBCs/μL of test set (test set-H), those values were 83.1%, 85.6%, 29.7%, and 98.6%, respectively. There were only 0.4% (2/461) and 0.6% (2/326) of normal control samples included in test set-L and -H, respectively. Diagnostic efficiencies except sensitivity in each validation set were very comparable with those in each test set. Conclusion Tuberculosis hemeprint may allow us to screen primary TB with acceptable sensitivity and specificity using combination of TB-specific CPD and calculated parameters. [ABSTRACT FROM AUTHOR]

Summary Introduction: Plasmodium vivax malaria is one of the most important infectious diseases plaguing humanity and causes significant mortality and morbidity worldwide. The gold standard of P. vivax malaria diagnosis is the microscopy of blood smears. Although microscopy is a rapid, cost-effective, and readily applicable method, it has many disadvantages, including low sensitivity, specificity, and precision. Therefore, there is a clear need for an effective screening test for P. vivax malaria detection both in high-prevalence areas and developed countries. Methods: A total of 1761 complete blood count (CBC) samples generated by the automated hematology analyzer (DxH 800™; Beckman Coulter Inc., Miami, FL, USA) were retrospectively analyzed. The sample pool contained 123 samples from 52 P. vivax malaria patients and 1504 nonmalarial samples including 509 patients with leukopenia (white blood cell <2000/μL) and 134 normal subjects. Results: The P. vivax malaria samples exhibited easily recognizable typical malaria signals on the nucleated red blood cell (nRBC) plots (sensitivity 100%) in DxH 800™. All 1504 samples without P. vivax infection were negative for malaria signal (specificity 100%). The size of P. vivax malaria signals correlated roughly with the parasite burden. Conclusion: DxH800™ provides very sensitive and specific, easily recognizable P. vivax malaria signals on routine CBC without need for the additional reagents or special procedures. [ABSTRACT FROM AUTHOR]

We determined the utility of leukocyte cell population data (CPD) for the screening of sepsis and fungemia. Blood culture-positive CBC samples, 117 bacteremia and 27 fungemia, and 134 CBC samples from healthy controls were analyzed using the DxH800 and CPD of neutrophils, lymphocytes, and monocytes were analyzed. Immature granulocytes (IG) were counted using Sysmex XE-2100. The neutrophils and monocytes volume were increased significantly, and the neutrophils light scattering values were reduced significantly in the sepsis samples. ROC curves evidenced excellent sensitivity in the lymphocyte SD parameters (sensitivity 78-89%, specificity 78-87%), monocytes volume (at 177.5, sensitivity 88.2% specificity 87.3%), and monocytes volume SD (at 22.16, sensitivity 93.1% specificity 91.0%) for sepsis. The IG value was significantly higher in sepsis and the ROC curve evidenced a sensitivity of 82.8% and a specificity of 90.8% for sepsis. Only lower angle light scatter of lymphocytes SD value evidenced good sensitivity and specificity in the discrimination of fungemia from bacteremia (sensitivity 74.1%, specificity 72.4% at 12.6). Many of the leukocyte CPD have been identified as useful parameters of sepsis. Hopefully, these parameters can ultimately be incorporated into a decision rule for the screening of sepsis samples and to discriminate fungemia from bacteremia. [ABSTRACT FROM AUTHOR]