Influencing Factors of Perinatal Outcomes of Pregnant Women with Diabetes under Ultrasound Guidance Guided by Multioperator Algorithm

Abstract

Objective. Ultrasound images based on a multioperator algorithm were used to explore the relationship between hemodynamic parameters of pregnant women and fetuses with abnormal glucose metabolism (AGM) during pregnancy and an adverse pregnancy outcome (APO). In addition, the influencing factors leading to APO were analyzed. Methods. 121 pregnant women with AGM during the third trimester of pregnancy were divided into poor prognosis group (group P, 80 cases) and good prognosis group (group G, 41 cases) according to the pregnancy outcome. Ultrasound technology based on a multioperator algorithm was used to detect the two groups of pregnant women, and the detection indexes were hemodynamic parameters of the fetus and uterus. The correlation between hemodynamic parameters and pregnancy outcome was analyzed by Logistic regression. Results. Compared with group G, the values of MCA-PI and MCA/UA in group P were dramatically decreased, while Ut-A-PI was dramatically increased p < 0.05 . When MCA-PI was less than 1.60, the sensitivity and specificity of MCA-PI for predicting APO reached 92.5% and 90.2%, respectively. The mean age of pregnant women, high-density lipoprotein level, family history of diabetes, and number of exercises during pregnancy in baseline data of group P were dramatically different from that of group G p < 0.05 . Advanced age and high-density lipoprotein level were risk factors for a poor prognosis, while MCA-PI, MCA-RI, and MCA/UA were protective factors for a good prognosis. Conclusion. The results show that color Doppler ultrasound based on the multioperator algorithm can be used to predict APO, and MCA-PI less than 1.60 was the most important predictive index and critical value.