The dissertation is devoted to optimization of algorithms of observation for preterm infants by substantiating and developing a bundle for predicting and preventing the development of intraventricular hemorrhages (IVH) and their adverse outcomes. The purpose of the work is to prevent the development of IVH and their adverse outcomes in preterm infants by developing significant clinical prognostic models and a bundle for prevent their occurrence in infants during the neonatal period. To achieve the goal, a prospective study (2012–2016) was conducted, which included 117 premature babies, of which 76 babies (weight 1037.8±43.7 g, gestational age 27.1±0.27 weeks, girls 36/47.37 %) with III or IV degree of IVH according to L.A. Papile classification and 41 child (weight 1758±59.8; gestational age 32.1±0.30 weeks; girls 15/38.46 %) without IVH. For the construction of predictive models of post-hemorrhagic ventricular dilation (PHVD) development, which was determined by ultrasound criteria, infants with severe IVH were divided into 2 groups – 38 children with PHVD and 38 children without PHVD. Infants were also divided into 2 groups, depending on the presence or absence of post-hemorrhagic hydrocephalus – respectively 25 and 51 children. To determine the risk factors that are significant associated with the development of fatal cases in newborns with IVH, two groups were formed: the first group included 40 infants (weight 903.72±56.61 g; gestational age 26.15±0.34 weeks; girls 19/47.5 %) who died, and 36 infants (weight 1187.3±58 g, gestational age 28.09±0.37 weeks; girls 17/47.22%) who survived. The factors characterizing the somatic, ante/intranatal anamnesis of the mother, the volume of reanimation measures, the state of the child immediately after birth, the presence of comorbid conditions, the characteristics of respiratory, hemodynamic support, as well as metabolic and infectious profile of the child during the first 6 days of life, were used to identify reliable risk factors and construct predictive models. The package of decisions has been substantiated, which includes a number of measures for the prediction and prevention of severe IVH that should be used simultaneously in the ante-, intra-, and post-neonatal periods, the innovative component of which is the algorithm of determination of high-risk newborns for the development of IVH and their adverse outcomes, interdisciplinary and interprofessional communication check-lists, as well as a check-list for monitoring the child's condition right after birth. After application of offered bundle (2014–2017) in the Perinatal center of Poltava Clinical Hospital named after M. V. Sklifosovsky significantly reduced the frequency of severe IVH (p = 0.038
