Večplastni napovedni model prezgodnjega poroda = Multilayer prediction model for preterm delivery : doktorsko delo
Verdenik, Ivan
Background: In obstetrics preterm labour represents one of the highest risk tothe developing fetus. Preterm labour is responsible for almost 70% of overall neonatal deaths, and for over 85% of ...neonatal deaths, if deaths associated with congenital malformations are excluded. Surviving infants are at increased risk of cerebral palsy, hydrocephalus, blindness, deafness, respiratory tract diseases and other complications that require neonatal intensive therapy. Thus the expenses of intensive care for preterm infants areextremely high. The aim of this study was to provide the basis for the earliest possible identification of pregnant women at increased risk of preterm labour as to ensure timely application of preventive measures. Methods. The analysis was based on the data from the National Perinatal Information System regarding the entire Slovene singleton population for the period of eight years (n=148,791). Beside some general information of the mother, the system provides the data on her medical history, course of pregnancy and labour, and the data on the newborn. Complementarily we analysedthe results obtained by the study EUROPOP providing the detailed data on social and work conditions in pregnancy (1,700 singleton deliveries) as well as the results of the study on congenital uterine malformations as a riskfactor for preterm labour (n = 508). The effect of risk factors was assessed using multiple regression analysis. More models were built to assess the differences in the structure of risk factors between more (up to 32nd week) and less preterm labour (up to 36th week), as well as the differences between primiparas and multiparas. On the basis of a regression model we built a predictive model for the risk for preterm labour; i.e. we built two separate models, one to be applicable at the first antenatal visit, and another to predict the risk taking into account the factors occurring during pregnancy. (Abstract truncated at 2000 characters).
Type of material - dissertation
; adult, serious
Publication and manufacture - Ljubljana : [I. Verdenik], 2002
doktorske disertacije VERDENIK Ivan Večplastni IN: 020020805
available - outside loan, loan period: 1 months
MF, Central Medical Library, Lj.
doktorske disertacije VERDENIK Ivan Večplastni IN: 020020804
available - outside loan, loan period: 1 months
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