Volume 23 Issue 3
Mar.  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(3): 430-433
CHEN Yuanyuan, MA Jianting. The value of demography, blood routine and serum biochemical indexes in predicting hypertensive disorder complicating pregnancy[J]. Chinese Journal of General Practice, 2025, 23(3): 430-433. doi: 10.16766/j.cnki.issn.1674-4152.003920
Citation: CHEN Yuanyuan, MA Jianting. The value of demography, blood routine and serum biochemical indexes in predicting hypertensive disorder complicating pregnancy[J]. Chinese Journal of General Practice, 2025, 23(3): 430-433. doi: 10.16766/j.cnki.issn.1674-4152.003920
shu

The value of demography, blood routine and serum biochemical indexes in predicting hypertensive disorder complicating pregnancy

doi: 10.16766/j.cnki.issn.1674-4152.003920
  • 1.

    Department of Gynecology and Obstetrics, the Affiliated Yangming Hospital of Ningbo University, Yuyao, Zhejiang 315400, China

Funds:

 2021KY1073

  • Received Date: 2024-01-24
    Available Online: 2025-05-14
    Abstract
  •   Objective  The purpose of this study was to investigate the predictive value of demographic characteristics, blood routine, and biochemical parameters in early pregnancy for hypertensive disorders of pregnancy (HDP).  Methods  A total of 16 112 pregnant women who underwent regular prenatal check-ups and delivered in the Affiliated Yangming Hospital of Ningbo University from May 1, 2018 to April 30, 2022 were selected, and 12 889 cases from May 1, 2018 to April 30, 2021 were selected as the observation group for the construction of the prediction model. A total of 3 223 cases from May 1, 2021 to April 30, 2022 were used as validation groups for external validation of the prediction model. The demographic characteristics, blood routine, and biochemical examination data of all research subjects were investigated in the first trimester (8-12+6 weeks), and the prediction model of HDP for the observation group was established by logistics regression statistical method, and the model was verified by the validation group, and the ROC curve was obtained and the area under the ROC curve was calculated, and the clinical prediction performance of the prediction model was evaluated.  Results  A total of 12 889 patients were in the observation group, of which 1 196 were HDP patients, accounting for 9.28%. Multivariate regression model analysis showed that age, medical history, BMI, hematocrit (HCT), HB, TG, HDL, LDL, TC, and ALB were influencing factors of HDP. Based on these factors, a combined prediction model for HDP was constructed, and when the scoring threshold was 1.5, the AUC for predicting the occurrence of HDP was 0.766.  Conclusion  Clinical models based on demographic, blood routine, and biochemical indicators have certain predictive value for hypertensive diseases in pregnancy.

     

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