Prediction of preeclampsia in twin pregnancies: a review
10.3760/cma.j.cn113903-20221008-00877
- VernacularTitle:双胎妊娠子痫前期的预测进展
- Author:
Jinliang XIE
1
;
Xiaojin WANG
;
Bingshun WANG
Author Information
1. 上海交通大学公共卫生学院，上海 200025
- Keywords:
Preeclampsia;
Pregnancy, twin;
Forecasting;
Biomarkers
- From:
Chinese Journal of Perinatal Medicine
2023;26(7):601-606
- CountryChina
- Language:Chinese
-
Abstract:
Incidence of twin pregnancies increases significantly in recent years. Twin pregnancies are likely to have a higher risk of quicker progression and more severe preeclampsia (PE) than singletons, making the prediction and prevention of PE of twin pregnancies even more important. The prediction and screening for PE have evolved from guideline-based risk factor screening to simple models with maternal factors only, and then to complex models with a wider range of indicators. Besides, the modeling algorithms have expanded from logistic regression to complex algorithms such as competing risk models. Continuous improvements have been achieved in the prediction models. This paper presents a comprehensive overview of the applicability and the prospect of these models in this area in twin pregnancies and suggests that the prediction models should be improved by optimizing modeling strategies using localized indicators.
