DOI: 10.36347/sjams.2018.v06i02.023

Pages: 578-583

Prediction of patient’s mortality in intensive care unit was a debatable topic and still remains elusive. Numerous clinical scores and biomarkers were identified but none considered as a gold standard modality due to their complexity and non availability of laboratory tests in certain hospitals. A simple cost effective mortality predictor is always expected in ICU settings. Volume Conductivity and Scatter (VCS) parameters are WBC research population data generally developed to compute differential count. In the current study, these 24 parameters were analysed to know if they can be used as a mortality predictor. A total of 100 patients who were admitted, treated and expired in intensive care units were enrolled in the study. For control, 100 age and sex matched patients who were admitted, treated and recovered in intensive care units included in the study. In this retrospective analysis of 200 cases, VCS parameters were noted from automated hematology analyser and analysed. To achieve mean and standard deviation of each parameter, Mann Whitney test was performed. Receiver’s operating characteristics was analysed on significant parameters to derive cut-off values, sensitivity and specificity. Out of 24 parameters, significant parameters with area under the curve more than 7.0 were neutrophil-volume distribution width (cut-off ≥23.5, sensitivity 85%,specificity 50%), neutrophil-conductance distribution width (cut-off ≥6.5,sensitivity 86%, specificity 54%) , mean lymphocyte scatter (cut-off ≥54.5, sensitivity 85%, specificity 60%), lymphocyte-scatter distribution width (cut-off ≥18.5, sensitivity 82%, specificity 52%), monocyte-conductance distribution width (cut-off ≥5.5, sensitivity 66%, specificity 69%), mean monocyte scatter (cut-off ≥79.5, sensitivity 84%, specificity 60%) and mean eosinophil scatter (cut-off ≥186.5, sensitivity 81%, specificity 50%). These significant VCS parameters either alone or in combination can serve as a simple, cost effective an