Discriminant value of automated leucocyte VCS parameters in the detection of tropical infections

Abstract

Introduction: In India, infectious diseases are a leading treatable cause of morbidity and mortality. Mangalore being endemic to many vector-borne diseases, their incidence is known to show seasonal variations with sharp increase during monsoon.Leucocytes have substantial role in the immunological pathogenesis of infections. Methods:The present series was a hospital-based cross-sectional study performed in a tertiary care hospital for a period of three months from June-August wherein the cell population data of cases of malaria, dengue, leptospirosis, typhoid and rickettsial infections along with equal number of healthy controls were collected and analysed.Effectiveness of leucocyte-related volume (V), conductivity (C) and scatter (S) parameters by Coulter®DXH800 haematology analyser in predicting these infections was appraised.Results: 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 (P < 0.05) in the mean values of complete blood count parameters-haemoglobin, total leucocyte count, red blood cell count, haematocrit, 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.Conclusions: Haematological analysis is a part of routine evaluation of any case of febrile illness. This study showed that there are specific alterations in VCS parameters in different types of infections such as malaria, dengue, leptospira, typhoid and rickettsia, the information and analysis of which comes without any additional cost.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

The exploration of cell population data in clinical use: Beyond infectious diseases

“…A study from India reported the value of CPD parameters in patients with tropical infections [51]. It was a crosssectional study, with 324 cases enrolled and analyzed, including malaria (50.0%), dengue (30.9%), leptospirosis (13.9%), typhoid (4.0%), and rickettsial infections (1.2%), 130 -iLABMED along with 324 healthy controls.…”