Abstract：Objective Construct and analyze the application value of the ultrasound multimodal model based on fetal hemodynamic parameters in predicting the risk of severe preeclampsia. Method The cross-sectional data of 74 pregnant women with severe preeclampsia who had regular prenatal examinations and delivered in our hospital from January were selected as the observation group,and another 50 pregnant women with normal prenatal examinations during the same period were selected as the control group.The general data of the two groups and the fluid dynamics parameters of the fetus were analyzed.Multiple regression analysis was used to analyze the factors influencing the occurrence of preeclampsia in pregnant women;Build a prediction model based on influencing factors and analyze its prediction efficacy. Result The levels of BMI,SBP and DBP in the preeclampsia group were significantly higher than those in the control group,while the gestational age at delivery was lower(P<0.05).The PI(1.37±0.13),RI(0.81±0.19)and S/D(3.67±0.43)of the umbilical artery in the preeclampsia group were all higher than those in the control group.However,the PI(1.08±0.16),RI(0.54±0.19),and S/D(2.42±0.31)of the fetal middle cerebral artery were lower than those of the control group(P<0.05);The results of multiple regression analysis showed that a high level of umbilical artery PI,RI,and S/D ratio in the fetus was a risk factor affecting the occurrence of preeclampsia in pregnant women.The high levels of PI,RI and S/D ratio of the fetal middle cerebral artery are its protective factors;Based on the influencing factors,a prediction model equation was constructed,Y=3.063× PI of the umbilical artery+1.051× S/D ratio of the umbilical artery +2.061× RI of the umbilical artery+2.610× PI of the fetal middle cerebral artery +3.762× RI of the fetal middle cerebral artery+2.783× S/D ratio of the fetal middle cerebral artery -2.618;The ROC curve indicated that the predictive model had a good predictive efficacy for preeclampsia in pregnant women(AUC=0.856),P<0.05. Conclusion Fetal hemodynamic parameters can be used as important indicators for the early identification of high risk.The high levels of umbilical artery PI,RI,and S/D ratios in the fetus are risk factors affecting the occurrence of preeclampsia in pregnant women.The high levels of PI,RI and S/D ratio of the fetal middle cerebral artery are its protective factors.Based on the influencing factors,The constructed prediction model has high prediction efficiency,which can improve early warning ability and provide basis for clinical intervention.
高若兰, 程元平, 郭晓荣. 基于胎儿血流动力学参数的超声多模态模型在子痫前期风险的预测研究[J]. 哈尔滨医药, 2026, 46(1): 38-41.
Gao Ruolan, Cheng Yuanping, Guo Xiaorong. Research on the Prediction of Preeclampsia Risk Using Ultrasound Multimodal Model Based on Fetal Hemodynamic Parameters. journal1, 2026, 46(1): 38-41.
[1] 周盛萍,周容.子痫前期的筛查[J].实用妇产科杂志,2023,39(2):81-84. [2] 唐文佩,李笑天.子痫-子痫前期的早期认知与概念演变[J].中华围产医学杂志,2024,27(11):965-969. [3] 白新久,段润滋,刘晓清,等.基于发病机制的子痫前期潜在生物标志物的研究进展[J].临床医药实践,2023,32(3):199-202. [4] 贾冉,马惠静,宁蓓蓓,等.子痫前期的潜在干预措施[J].中国计划生育和妇产科,2024,16(1):104-106. [5] 丁少容. 探究最优血清生物标志物预测子痫前期发生及病情程度[J].实用妇科内分泌电子杂志,2024,11(17):4-7. [6] 谢幸,苟文丽.妇产科学.第8版[M].人民卫生出版社,2013. [7] 何文聪,赵茵.胎盘功能监测及严重并发症防范[J].中国实用妇科与产科杂志,2024,40(8):793-797. [8] 仲亚君,张晓燕,周键.妊娠期子痫前期孕妇子宫动脉及胎儿血流动力学参数的相关研究[J].影像研究与医学应用,2025,9(05):55-57. [9] 葛婷婷,林晓娟,赵旭.组织多普勒成像和时间-空间相关成像评价孕晚期子痫前期胎儿心脏功能的应用价值[J].临床超声医学杂志,2023,25(01):29-33. [10] Christenson E,Stout MJ,Williams D,et al.Prenatal Low-Dose Aspirin Use Associated with Reduced Incidence of Postpartum Hypertension among Women with Preeclampsia[J].Am J Perinatol,2023,40(4):394-399. [11] Jasper EA,Hellwege JN,Breeyear JH,,et al.Genetic Predictors of Blood Pressure Traits are Associated with Preeclampsia[J].medRxiv.Genetic Predictors of Blood Pressure Traits are Associated with Preeclampsia[J].medRxiv,2023,14:2023.02.09.23285734. [12] de Ganzo Suárez T,de Paco Matallana C,Plasencia W.Spiral,uterine artery doppler and placental ultrasound in relation to preeclampsia[J].Best Pract Res Clin Obstet Gynaecol,2024,92:102426. [13] Chiorean DM,Cobankent Aytekin E,Mitranovici MI,et al.Human Placenta and Evolving Insights into Pathological Changes of Preeclampsia:A Comprehensive Review of the Last Decade[J].Fetal Pediatr Pathol,2024,43(1):33-46. [14] Xu X,Yan G,Liu J,et al.Clinical Application of Multi-Index Combined Risk Assessment in Early Pregnancy for Screening of Preeclampsia[J].Evid Based Complement Alternat Med,2022,2022:5089442. [15] Wang X,Zhang Q,Ren Y,et al.Research Progress on Extracellular Matrix Involved in the Development of Preeclampsia[J].?Curr Protein Pept Sci,2024,25(7):527-538. [16] 刘琳,张琳,许正文,等.可溶性FMS样酪氨酸激酶1和胎盘生长因子在子痫前期中的临床应用[J].中国医刊,2023,58(10):1057-1060. [17] 杨倩,高霞.早产子痫前期患者的超声血流动力学变化及对妊娠结局的预测价值[J].健康研究,2024,44(2):213-217. [18] 张文娟,刘辉.早孕期子宫动脉PI联合胎儿血流动力学参数预测重度子痫前期的临床意义[J].中国医学创新,2023,20(7):19-23. [19] 倪珊. 孕早期胎盘血流灌注参数对预测子痫前期的价值分析[J].现代医学与健康研究电子杂志,2024,8(6):10-12.
2026, Vol. 46 
