The use of cluster analysis to determine the causes of the development of perinatal infections in newborns

Abstract

The multifactorial mathematical cluster analysis was used with evaluation of the parameters (27 in term and 31 in preterm infants), which allowed to identify the anamnestic and clinical features of the course of the disease, and as a result, the observed newborns were grouped into 2 clusters for systematically studying the factors predisposing to the development of perinatal infections .Cluster 1 included newborns from mothers with less burdened obstetric anamnesis and clinical and laboratory parameters, cluster 2 includes children with a more burdened obstetric anamnesis of the mother and an unfavorable course of the infectious process. According to multivariate analysis of variance, term infants with a mixed 64.9 ± 4.8% and bacterial 59.3 ± 9.5% infections were referred to 2 clusters, which indicated the severity and generalization of the infectious process. Premature, belonging to the 2nd cluster was more than full-term, with prevalence of them in the groups with mono (CMVI) 69.1 ± 3.1% and mixed infections (63.6 ± 4.5%) .