Value of uterine arterial blood flow combined with cerebral placental rate in predicting fetal growth restriction
Objective To analyze the application value of uterine artery flow and cerebral placental rate(CPR)in diagnosing fetal growth restriction(FGR).Methods A total of 114 pregnant women with clinically diagnosed late-onset FGR who were hospitalized in Jiangxi Maternal and Child Health Hospital from January 2021 to June 2022 were assigned to study group,and 122 pregnant women with normal intrauterine development were assigned to control group.The blood flow parameters of uterine artery(UtA),umbilical artery(UA)and middle cerebral artery(MCA)in two groups were determined by ultrasound,and CPR in two groups was calculated.The blood flow difference and pregnancy outcome of two groups were compared.Receiver operating characteristic(ROC)curve was used to analyze the application value of UtA and CPR alone and combined in the clinical diagnosis of FGR.Results The UtA resistance index(RI)of pregnant women in study group was higher than that of control group,the fetal UA blood flow parameter was higher than that of control group,the MCA blood flow parameter and the CPR value were both lower than those of control group,the differences were statistically significant(P<0.05).The birth weight and 1min Apgar score of study group were lower than those of control group(P<0.001).In addition,the incidence of emergency cesarean section operation,premature delivery and neonates transferred to neonatal intensive care unit(NICU)due to various complications in study group were significantly higher than those in control group(P<0.05).ROC curve showed that in predicting FGR,the area under the curve(AUC)of UtA-RI was 0.82(95%CI:0.77-0.88).The predictive efficiency of CPR was 0.75(95%CI:0.69-0.81).The combination of UtA-RI and CPR parameters had the highest efficiency in predicting FGR,with an AUC of 0.92(95%CI:0.89-0.95).Conclusion CPR combined with UtA-RI monitoring has clinical application value for early detection of FGR,guiding intervention,and improving adverse perinatal outcomes.
万方数据
维普
