Introduction
Fetal growth restriction (FGR) is one of the common complications of obstetrics and the second leading cause of perinatal death. It has specific clinical features, short-term and long-term risks.1-3. Current research showed that its occurrence was affected by many factors, including maternal factors4 , placental and umbilical cord factors4, 5, fetal factors6 , genetic factors7-9, etc.
Fetal factors included multiple pregnancies, fetal chromosomal abnormalities, fetal malformations and other factors, and clinical intervention was of little significance. Owing to lack of effective treatment, the outcome of fetus was the early termination of pregnancy. However, focusing on maternal diseases, placenta and umbilical cord factors, there are currently a large number of studies to improve the prognosis of the fetus for FGR patients at risk of adverse outcome5, 10, 11, but there were lack of effective predictive models to predict the occurrence of fetal distress and admission to neonatal intensive care unit (NICU) for FGR patients. Therefore, our research constructed two new predictive models. A visual and simple nomogram evaluated its risk and provided more reliable evidence for the next active treatment.