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.