LH750 hematology analyzers to identify malaria and dengue and distinguish them from other febrile illnesses

Abstract

Leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers. These economic discriminant functions can be rapidly calculated by analyzer software programs to generate electronic flags to trigger-specific testing. They could potentially transform diagnostic approaches to tropical febrile illnesses in cost-constrained settings.

Quantitative and volume, conductivity and scatter changes in leucocytes of patients with acute undifferentiated febrile illness: a pilot study: Table 1.

“…It is not a scientific comparison, nonetheless, it gives an insight into the alteration of VCS parameters in malaria, given the paucity of literature on the subject. Sharma et al 15 very recently quantitated leucocyte abnormalities by automated analyzers to successfully identify malaria and dengue and distinguish them from other fevers. The mean values of NS, MV, MS, monocyte scatter distribution width (MSDW), and LC of our control group were higher and those of NVDW, NCDW, MC, monocyte conductivity distribution width (MCDW), LV and LS were low as compared to the controls mentioned by Sharma et al 15 This appears to be due to the difference in the controls in the two studies.…”

Hematology analyzers to identify malaria and dengue

“…[2][3][4] Mohapatra et al proposed that the use of hematology analyzer resulted in "a rapid, high throughput device which needs less expertization for the diagnosis of malaria." [1] The recent report by Sharma et al can give additional data to previous reports since both dengue and malaria were studied. [5,6] Potts et al mentioned that some parameters platelet, white blood cell and neutrophil counts could be used with clinical features of the patients for discriminating between dengue and other febrile illnesses.…”

“…[1] The study by Sharma et al recently proposed that "leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers." [1] The study by Sharma et al recently proposed that "leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers."…”

“…[1] The study by Sharma et al recently proposed that "leukocyte abnormalities quantitated by automated analyzers successfully identified malaria and dengue and distinguished them from other fevers." [1] In fact, the use of automated hematology analyzer for determination of malaria and dengue has been in trials for a long time. [1] In fact, the use of automated hematology analyzer for determination of malaria and dengue has been in trials for a long time.…”

“…[3] Focusing on dengue, automated hematology analyzer can be applied in diagnosis. [1] In fact, dengue and malaria are both tropical infections and share common endemic areas. [5] Furthermore, the use of derived parameters from automated hematology analyzer accompanied with basic clinical data for prediction of severe form of dengue infection (dengue shock syndrome) is also tested.…”