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Updated: May 19, 2026
A Neonatal Imaging Model of Gram-Negative Bacterial Sepsis
Published on: August 12, 2020
Neutrophil volume, conductivity and scatter parameters with effective modeling of molecular activity statistical
I H Celik1, G Demirel, D Sukhachev
1Department of Neonatology, Zekai Tahir Burak Maternity Teaching Hospital, Ankara, Turkey. istemihancelik@gmail.com
Introduction:
Neonatal sepsis remains an important clinical syndrome despite advances in neonatology. Current hematology analyzers can determine cell volume (V), conductivity for internal composition of cell (C) and light scatter for cytoplasmic granularity and nuclear structure (S), and standard deviations which are effective in the diagnosis of sepsis. Statistical models can be used to strengthen the diagnosis. Effective modeling of molecular activity (EMMA) uses combinatorial algorithm of the selection parameters for regression equation based on modified stepwise procedure. It allows obtaining different regression models with different combinations of parameters.
Methods:
We investigated these parameters in screening of neonatal sepsis. We used LH780 hematological analyzer (Beckman Coulter, Fullerton, CA, USA). We combined these parameters with interleukin-6 (IL-6) and C-reactive protein (CRP) and developed models by EMMA.
Results:
A total of 304 newborns, 76 proven sepsis, 130 clinical sepsis and 98 controls, were enrolled in the study. Mean neutrophil volume (MNV) and volume distribution width (VDW) were higher in both proven and clinical sepsis groups. We developed three models using MNV, VDW, IL-6, and CRP. These models gave more sensitivity and specificity than the usage of each marker alone.
Conclusions:
We suggest to use the combination of MNV and VDW with markers such as CRP and IL-6, and use diagnostic models created by EMMA.
