ASSESSMENT OF PERINATAL RISK BY THE METHOD OF REGRESSION MODELING IN MULTIPLE PREGNANCIES
Journal Title: Молодий вчений - Year 2017, Vol 1, Issue 41
Abstract
The main clinical predictors of high perinatal risk against the background of a multiple pregnancy were investigated. For the study we were selected 114 patients with diagnosed multiple pregnancy. All observations were carried out in the maternity ward No 1 ME «Regional perinatal center» ZRC during the period from 2013 to 2015 years. Diagnosis of multiple pregnancy was established by using objective study and confirmed by ultrasound. By using method of multivariate stepwise regression analysis there were identified the most important factors, that define the state of a pregnant woman with multiple pregnancies, which allows properly influence the factors, which are modified in the resulting model, and significantly reduce the incidence of complications of pregnancy and childbirth, and can reduce the incidence of perinatal morbidity and mortality. A mathematical model for calculating the integral index has a high coefficient of determination – 83%, and this model has a high sensitivity and specificity (82% and 74%), proving the viability of the calculations.
Authors and Affiliations
О. V. Babinchuk
Keywords
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