The model for predicting the risk of development of complications in pregnancy with supravesical obstruction

Abstract

This research describes the factors that cause the development of complicated supravesical obstruction in pregnant women. Each factor has been analyzed by step-by-step regression analysis; odds ratios and relative risk have been calculated against the outcome of this condition for each pregnant woman. High-risk factors and odds ratios have been selected as the classifier of outcomes for discriminant analysis. Based on the discriminant function, a model has been developed for predicting the risk of developing a complicated course of supravesical obstruction in pregnant women. The results of the self-test showed high sensitivity and specificity of this model.