Volume 21 Issue 9
Sep.  2023
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CHU Hua, LU Yan, LIU Mingsong. Predictive value of uterine artery ultrasound parameter prediction model for preeclampsia risk in early pregnancy[J]. Chinese Journal of General Practice, 2023, 21(9): 1563-1565. doi: 10.16766/j.cnki.issn.1674-4152.003171
Citation: CHU Hua, LU Yan, LIU Mingsong. Predictive value of uterine artery ultrasound parameter prediction model for preeclampsia risk in early pregnancy[J]. Chinese Journal of General Practice, 2023, 21(9): 1563-1565. doi: 10.16766/j.cnki.issn.1674-4152.003171
shu

Predictive value of uterine artery ultrasound parameter prediction model for preeclampsia risk in early pregnancy

doi: 10.16766/j.cnki.issn.1674-4152.003171

  • Department of Ultrasound, Huzhou Maternal and Child Health Hospital, Huzhou, Zhejiang 313000, China

Funds:

 2019GYB15

 2021KY1084

  • Received Date: 2023-04-11
    Available Online: 2023-10-19
    Abstract
  •   Objective  To explore the value of uterine artery ultrasound parameters in the prediction of preeclampsia at 11-13 weeks of gestation, we constructed a uterine artery ultrasound parameter prediction model at 11-13 weeks of gestation, and analyzed its prediction value for the risk of preeclampsia.  Methods  A total of 200 patients who visited Huzhou Women's and Children's Health Care Hospital in early pregnancy from May 2020 to May 2022 were included. They were divided into occurred group (100 cases) and not occurred group (100 cases) according to whether they had preeclampsia. The ultrasonic parameters of uterine artery in the 11-13 weeks of pregnancy were extracted from the electronic medical record system, and a logistic regression prediction model based on the ultrasonic parameters of uterine artery in early pregnancy was established. The ROC curve was drawn to analyze its sensitivity and specificity for predicting preeclampsia.  Results  The multivariate logistic regression analysis showed that high body mass index (BMI, OR=1.311, P<0.001), high cholesterol (OR=1.673, P=0.004), high uterine artery pulsatility index (UtA-PI, OR=1.327, P<0.001) and high resistance index (RI, OR=1.846, P=0.036) were the risk factors for preeclampsia. ROC curve showed that the AUC of the model for predicting the risk of preeclampsia was 0.762 (95% CI: 0.696-0.819), the sensitivity was 81.00%, and the specificity was 63.00%.  Conclusion  The prediction model based on uterine artery ultrasound parameters UtA-PI, RI, high BMI and cholesterol in early pregnancy can be used for the prediction of preeclampsia.

     

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