开发一种用于双胎妊娠早孕期和中孕期子痫前期筛查的新算法。

Developing a new algorithm for first and second trimester preeclampsia screening in twin pregnancies.

作者信息

Maymon Ron, Trahtenherts Alla, Svirsky Ran, Melcer Yaakov, Madar-Shapiro Liora, Klog Esther, Meiri Hamutal, Cuckle Howard

机构信息

a Institute of Ultrasound, Department of Obstetrics and Gynecology , Assaf Harofeh Medical Centre, Affiliated with the Sackler School of Medicine , Tel-Aviv , Israel.

b Tel-Aviv University , Tel-Aviv , Israel.

出版信息

Hypertens Pregnancy. 2017 Feb;36(1):108-115. doi: 10.1080/10641955.2016.1242605. Epub 2016 Nov 11.

DOI:10.1080/10641955.2016.1242605

PMID:27835040

Abstract

OBJECTIVES

Construct a new preeclampsia predicting algorithm in twins.

METHODS

Twins sampled at 10-13 and 16-20 gestational weeks and their marker values were log transformed into multiples of the gestation-specific medians (MoMs) for singletons and entered into a new logistic regression model with/without prior risk factors.

RESULTS

The cohort included 9 PE (18 samples) and 96 unaffected cases (175 samples) twin pregnant women. The algorithm constructed of PlGF, PAPP-A, PP13, Doppler UTPI, and MAP with prior risk factors generated an area under the curve of 0.918, 75% detection rate for 10% false-positive rate.

CONCLUSIONS

The algorithm effectively forecasted twin risk to develop PE.

摘要

目的

构建一种新的双胎子痫前期预测算法。

方法

在孕10 - 13周和16 - 20周对双胎进行采样，并将其标志物值对数转换为单胎妊娠特异性中位数倍数（MoMs），然后将其纳入有/无既往危险因素的新逻辑回归模型。

结果

该队列包括9例子痫前期（18个样本）和96例未受影响的双胎孕妇病例（175个样本）。由胎盘生长因子（PlGF）、妊娠相关血浆蛋白A（PAPP - A）、妊娠相关血浆蛋白13（PP13）、子宫动脉搏动指数（Doppler UTPI）和平均动脉压（MAP）构建的带有既往危险因素的算法生成的曲线下面积为0.918，在假阳性率为10%时检测率为75%。