Automated Leucocyte VCS Parameters Evaluated for Pathogenic Infections

Mangalore, a city in coastal Karnataka, India, has high prevalence of both these vector‐borne infections with extensive range of clinical presentations. The outbreak of these infections is common during and after the rainy season.

Clinical symptoms of these infections intersect each other and those seen in leptospirosis, typhoid fever and rickettsial infections. The latter three, though not as common as malaria and dengue fever, pose diagnostic difficulties in their early phases. The clinical presentation can vary from a mild febrile illness to lethal complications such as disseminated intravascular coagulation.

Medical Laboratory Scientists at the Kasturba Medical College (Manipal, India) compared automated parameters by VCS technology that can predict and aid in rapid and reliable prediction of specific infections such as malaria, dengue, leptospirosis, typhoid and rickettsial infections. This technology quantifies volume of the cells by voltage impedance (V); nuclear‐cytoplasmic ratio by radiofrequency conductivity (C); and internal cellular features such as cytoplasmic granularity and nuclear complexity by laser light scatter (S) and hence known as VCS technology. A total of 324 patients fulfilled the inclusion criteria of infection group and equal number of controls were included in the study.

The scientists used the Coulter DXH800 hematology analyzer (Beckman Coulter Inc., Miami, FL, USA). Serologically positive cases of dengue, leptospirosis, typhoid and rickettsia; and malaria cases diagnosed by florescence microscopy‐ quantitative buffy coat (QBC) method and were confirmed by peripheral smear examination. The dengue cases were taken as positive based on positivity using either dengue NS1 test (immunochromatography card) or dengue IgM Panbio ELISA, and the leptospirosis cases were considered positive based on IgM Panbio ELISA test (Panbio Inc. Brisbane, Australia).

The team reported that a total of 324 cases comprising of malaria (50%), dengue (30.9%), leptospirosis (13.9%), typhoid (4.0%) and rickettsial infections (1.2%) were included. There was statistically significant differences in the mean values of complete blood count parameters—hemoglobin, total leucocyte count, red blood cell count, hematocrits, red cell distribution width, differential leucocyte count, platelet count and plateletcrit between cases and controls and also between specific infections. The mean volumes of neutrophil, monocyte and lymphocyte were considerably increased in malaria and dengue fever compared to leptospirosis, typhoid and rickettsial infections. VCS parameters were the least altered in typhoid fever, except for a strikingly high conductivity and scatter of eosinophils.

The authors concluded that there was significant difference in the volume, conductivity and scatter of neutrophils, monocytes and lymphocytes between the five groups and the values are found to be greatest in malaria. Mean neutrophil volume (MNV), mean lymphocyte volume (MLV) and mean monocyte volume (MMV) were increased significantly in malaria and dengue fever compared to leptospirosis, typhoid and rickettsial infections. Dengue cases showed significantly higher values in most of the leucocyte light scatter data. The study was published on February 4, 2021 in the Journal of Clinical Laboratory Analysis.

Related Links:
Kasturba Medical College
Beckman Coulter Inc
Panbio Inc