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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]

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]