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

Shruthi Muthunatarajan1, Sridevi Hanaganahalli Basavaiah2,3, Suchitra M Shenoy3,4

  • 1Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Abstract

Insights

Hematological analysis reveals distinct leucocyte volume, conductivity, and scatter (VCS) parameter alterations in common Indian infectious diseases like malaria and dengue. These cost-free findings aid in differentiating infections without additional expense.

Area of Science:

  • Hematology
  • Infectious Diseases
  • Clinical Pathology

Background:

  • Infectious diseases are a major cause of illness and death in India, with vector-borne diseases peaking during monsoon seasons.
  • Leukocytes play a critical role in the immune response to infections.

Purpose of the Study:

  • To evaluate the effectiveness of leucocyte-related volume (V), conductivity (C), and scatter (S) parameters in predicting infectious diseases.
  • To identify specific hematological alterations associated with malaria, dengue, leptospirosis, typhoid, and rickettsial infections.

Main Methods:

  • A hospital-based cross-sectional study was conducted over three months (June-August).
  • Cell population data from 324 patients with specific infections and healthy controls were collected using a Coulter® DXH800 hematology analyzer.
  • Leukocyte volume, conductivity, and scatter (VCS) parameters were analyzed.

Main Results:

  • Statistically significant differences in complete blood count and differential leukocyte counts were observed between patients and controls, and among specific infections (P < 0.05).
  • Increased mean neutrophil, monocyte, and lymphocyte volumes were noted in malaria and dengue compared to other infections.
  • Typhoid fever showed minimal alteration in VCS parameters, except for high eosinophil conductivity and scatter.

Conclusions:

  • Hematological analysis, including VCS parameters, is a valuable and cost-effective tool for evaluating febrile illnesses.
  • Specific alterations in VCS parameters can help differentiate between various infections such as malaria, dengue, leptospirosis, typhoid, and rickettsia.