Effectiveness of a preeclampsia risk prediction model based on maternal risk factors in the first trimester of pregnancy
10.3760/cma.j.cn114798-20240507-00433
- VernacularTitle:早孕期基于母体风险因素的子痫前期风险预测模型的效能探讨
- Author:
Yulian HU
1
;
Meiling SUN
;
Cuili CHEN
;
Pingping MENG
;
Wei WEI
;
Jingjing LI
;
Lili QIN
;
Limei SUN
Author Information
1. 日照市人民医院产科母婴康乐园，日照 276800
- Keywords:
Eclampsia;
Early pregnancy;
Forecasting;
Maternal risk factors
- From:
Chinese Journal of General Practitioners
2024;23(7):722-727
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the effectiveness of preeclampsia risk prediction models based on maternal risk factors during the first trimester in a local population.Methods:This was a diagnostic study. Pregnant women who underwent prenatal examination in People′s Hospital of Rizhao from May 2019 to May 2022 and had risk factors for preeclampsia were enrolled at 11-13 +6 weeks gestation, and were divided into preterm preeclampsia group, term preeclampsia group and non-preeclampsia group according to the occurrence and the gestational week. Baseline clinical data were collected. The effectiveness of different models in predicting preeclampsia risk was evaluated using receiver operating characteristic (ROC) curves. Results:Among the 559 pregnant women enrolled, 78(14.0%) had preeclampsia, including 35(6.3%) with preterm preeclampsia (preterm preeclampsia group), 43 (7.7%) with term preeclampsia (term preeclampsia group), and 481 (86.0%) without preeclampsia (non-preeclampsia group).The most effective model for predicting preterm preeclampsia in the first trimester was maternal risk factor+mean arterial pressure (MAP)+serum placental growth factor (PLGF)+uterine artery pulse index (UTPI). The area under ROC curve was 0.805, and the sensitivity was 56.6% with a false-positive rate of 10%; the most effective model for predicting term preeclampsia and preeclampsia was maternal risk factor+MAP+UTPI. The area under ROC curve was 0.777, and the sensitivity was 52.6% and 53.5% with a false-positive rate of 10%.Conclusion:The combined predicting strategy for preterm preeclampsia based on maternal risk factors in the first trimester maybe effective among our population.
