The value of intelligent ultrasound sensor used in the measurement of fetal hemodynamics and evaluation of health factors

Abstract

ObjectiveThe purpose is to discuss the application of intelligent ultrasound sensor in the measurement of fetal hemodynamics and the evaluation of health factors. Methods: 237 pregnant women who were hospitalized in the fourth people's hospital of Jinan from June 2016 to May 2018 were selected as the study objects. According to the situation of pregnant women, they were divided into pre-pregnancy diabetes group (Group IB, 19 cases), gestational diabetes group (Group IA, 93 cases), and normal control group (Group II, 125 cases). In order to evaluate the health status of pregnant women and infants, intelligent ultrasound sensor was used for pregnant women measurement in each group, including ultrasonic parameters, hemodynamic parameters, and body weight. ResultsThere was no significant difference in age, height, weight, and gestational weeks between Group IA, Group IB, and Group II (P > 0.05). Pregnant women in each group showed that the blood glucose content of Group IB and Group IA increased significantly after fasting and glucose tolerance test, compared with the control group (P < 0.05), and the blood glucose content of Group IB was always higher than that of Group IA (P < 0.05). Compared with the control group, fetal ultrasound parameters and body weight were significantly increased in Group IB and Group IA (P < 0.05). The hemodynamic parameters of MCA (Middle Cerebral Artery), UA (Umbilical Artery), and Ut-A (Uterine Artery) in Group IB and Group IA were significantly different from that of the control group (P < 0.05). Furthermore, the area under ROC (Receiver Operating Characteristic) curve of MCA-PI was the largest, and the effect of predicting pregnancy outcome was the most obvious. ConclusionThrough the study, it was found that the measurement of hemodynamic parameters in the later period of pregnancy with intelligent ultrasound sensor could predict the outcome of pregnancy, especially the adverse pregnancy outcome of patients with abnormal glucose metabolism. It could provide experimental basis for the prediction of the outcome of pregnancy and the evaluation of health status of patients with abnormal glucose metabolism in the later period of pregnancy.