国际妇产科学杂志 ›› 2020, Vol. 47 ›› Issue (4): 378-383.

• 综述 • 上一篇    下一篇

子痫前期孕早期预测的研究进展

何韵婷,王筱金,王炳顺   

  1. 200025  上海交通大学医学院公共卫生学院(何韵婷),临床研究中心生物统计教研室(王筱金,王炳顺)
  • 收稿日期:2020-01-03 修回日期:2020-01-29 出版日期:2020-08-15 发布日期:2020-08-15
  • 通讯作者: 王炳顺,E-mail:wangbingshun@sjtu.edu.cn E-mail:wangbingshun@sjtu.edu.cn
  • 基金资助:
    国家自然科学基金(81573162)

Advances and Prospect in First Trimester Prediction for Pre-Eclampsia

HE Yun-ting,WANG Xiao-jin,WANG Bing-shun   

  1.  School of Public Health(HE Yun-ting),Department of Biostatistics,Clinical Research Center(WANG Xiao-jin,WANG Bing-shun),Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China
  • Received:2020-01-03 Revised:2020-01-29 Published:2020-08-15 Online:2020-08-15
  • Contact: WANG Bing-shun,E-mail:wangbingshun@sjtu.edu.cn E-mail:wangbingshun@sjtu.edu.cn

摘要: 子痫前期(PE)是一种常见的产科疾病,是导致孕产妇和新生儿发病及死亡的主要原因之一。PE的发病机制不明,提升PE预测准确性有助于及时筛选出高危人群并进行临床干预。本综述回顾近年来PE孕早期预测的研究进展,预测因素主要包括母体因素、平均动脉压、遗传学标记物、生物化学指标和多普勒指标等。在所有类型的预测模型中,多因素联合预测模型效果最佳。目前的预测模型存在指标不易获取、模型缺乏验证等不足,限制了其在临床上的应用。亟需建立适用于国内妇幼保健真实产检情境的PE孕早期预测模型,注重指标采集符合当地产检实际及预测模型的本土化验证。

关键词: 先兆子痫;, 动脉压;, 生物标记;, 超声检查;, 妊娠初期;, 预测;, 脂类

Abstract: As a common obstetric disease, pre-eclampsia (PE) remains a significant cause of maternal and neonatal morbidity and mortality. The pathophysiological processes of the disease  remains unclear. Improved prediction strategies of PE would allow for identification of high-risk population and timely clinical intervention. This paper reviews recent advances in first trimester prediction for PE, including the use of maternal characteristics, mean arterial pressure, genetic markers, biochemical markers, and Doppler markers. Among all the prediction models, the most promising one involves multi-parametric approaches. However, the fact that most indicators in current models are difficult to measure and lack of validation, restrict the possible clinical applications. There is an urgent need for establishing a PE prediction model at early pregnancy stage suitable for domestic use in accounting for local setting of antenatal examination and model validation.

Key words: Pre-eclampsia, Arterial pressure;, Biomarkers, Ultrasonography, Pregnancy trimester, , first;, Forecasting, Lipids