Saudi Journal of Pathology and Microbiology (SJPM)
Volume-3 | Issue-05 | 135-139
Original Research Article
Utility of Cell Population Data as an Early Predictor of Dengue
Jihil Justin, Febe Renjitha Suman, Dmitry Sukhachev, Naveen K, RithikaRajendran, Uma Lakshmi
Published : May 30, 2018
Abstract
There is a need for a rapid and reliable test to predict dengue so that the
patients are managed and monitored. Beckman Coulter LH series instruments provide
data on leukocyte cell volume, V; conductivity, C; and light scatter, S which is useful in
distinguishing viral and bacterial infections. This prospective study was undertaken in
Chennai - India for a period of one and a half years. The cell population data for the
dengue positive and negative patients were retrieved from the hematology analyzer
Beckman Coulter LH780. Statistical analysis was performed using MedCalc for
Windows version 15.0. Mann-Whitney test was used to compare the VCS indices
between the different groups. Dengue positive, suspected and controls were 499, 493,
499 respectively. Male: female ratio is 1.4:1. The platelet count, standard deviation of
volume and conductivity of monocytes, volume and percentage of lymphocytes and
platelet counts were used to construct a tree model which distinguishes dengue from
suspected cases with sensitivity, specificity and efficiency of 94.84%, 77.88% and
89.59% respectively. A classification tree was developed using changes in monocytes,
lymphocytes and lymphocyte and platelet counts.