METHOD FOR PREDICTION OF INTRAUTERINE GROWTH RETARDATION DURING PRETERM PREGNANCY
Aim: To develop a model for prediction of intrauterine growth retardation in preterm pregnancy. Materials and Methods: We collected 264 observations and used a logistic regression to calculate the receiver operating characteristic (ROC) curve and area under the curve. Six independent variables were ranked according to the strength of their relationship with the dependent variable. Results: We found that smoking was one of the causes of intrauterine growth restriction, having the highest impact on intrauterine growth retardation. Past medical history of gynecological diseases, complicated pregnancies, abortions, miscarriages, or preterm birth as well as placental insufficiency also were the significant risk factors of intrauterine growth retardation. Moreover, F7 gene 10976 G>A, FGB gene 455 G>A, and ITGB3 gene 1565 T>C polymorphisms were also identified as risk factors. Area under the ROC curve was 0.792 that testified the fair predictive value of the model. Conclusions: Our model can be used for prediction of intrauterine growth retardation.