Detection of Plasmodium vivax using Automated Hematology Analyzer in the Korean Army.

BACKGROUND: This study aimed to evaluate whether our equation model developed from the Sysmex hematology analyzer can discriminate patients with Plasmodium vivax (P. vivax) infection from those with acute febrile illness (AFI) and healthy controls. Besides, we compared our model with the previously studied models. METHODS: A total of 312 blood samples were collected from the P. vivax, AFI, and healthy control groups. All samples were tested for routine complete blood count conducted by using a Sysmex XE-2100 or XE-5000 analyzer. We compared the reportable and research parameters generated from the Sysmex analyzer among the three groups. The selected parameters that showed a significant difference between the P. vivax and the other group were included in the logistic regression analysis to develop our model (N-OIpv model). Moreover, we analyzed the CBC data according to the previous models, such as the presence of abnormal blue coded events in the WBC/BASO scattergram called the observer-interpretation (OIpv) model, and the previous equation model (N-OD1pv model) developed by Campuzano-Zuluaga et al. Results: The N-OIpv model, which consists of three parameters, such as mean cell volume, plateletcrit, and Lymph-X, showed the best performance for detection of malaria (97.4% accuracy). Also, this model can increase the sensitivity by about 11.9% to 18.1% compared with the OIpv and N-OD1pv models, respectively. CONCLUSIONS: We concluded that the N-OIpv model using the Sysmex hematology analyzer is a useful diagnostic tool in the routine laboratory workup for malaria.