Open AccessScreening for preeclampsia in low‐risk twin pregnancies at early gestation
Author(s) -
Chen Jianping,
Zhao Depeng,
Liu Yang,
Zhou Jia,
Zou Gang,
Zhang Yun,
Guo Ming,
Duan Tao,
Van Mieghem Tim,
Sun Luming
Publication year - 2020
Publication title -
acta obstetricia et gynecologica scandinavica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 102
eISSN - 1600-0412
pISSN - 0001-6349
DOI - 10.1111/aogs.13890
Subject(s) - preeclampsia , medicine , obstetrics , body mass index , uterine artery , pregnancy , logistic regression , confidence interval , gestation , receiver operating characteristic , mass index , risk factor , gynecology , genetics , biology
Preeclampsia affects about 10% of twin pregnancies and significantly increases the risk of adverse pregnancy outcomes. However, screening models for preeclampsia in twin pregnancies remain elusive. The present study aimed to evaluate the performance of a multi‐marker first trimester preeclampsia screening model in low‐risk twin pregnancies. Material and methods Between 2014 and 2017, we prospectively assessed first trimester biomarkers for preeclampsia in a ‘low‐risk‘ twin pregnancy cohort at a single center. Multiple logistic regression was used to determine significant predictors for early preeclampsia (occurring prior to 34 weeks) and late preeclampsia (occurring after 34 weeks). The performance of the screening models fitted using the significant predictors was calculated using receiver operating characteristics curves, and internal validation was performed using bootstrapping. Results A total of 769 twin pregnancies were included in the study. Early preeclampsia and late preeclampsia developed in 27 (3.5%) and 59 (7.7%) cases, respectively. Logistic regression analyses showed that maternal age, body mass index, mean artery pressure and placental growth factor were significant predictors for early preeclampsia. Maternal age, body mass index, mean artery pressure and pregnancy‐associated plasma protein A were significant for late preeclampsia. Uterine artery pulsatility index was not predictive of either early or late preeclampsia. For the fitted screening model of early and late preeclampsia, the areas under receiver operating characteristics curves were 0.82 (95% confidence interval [CI] 0.76‐0.88) and 0.66 (95% CI 0.59‐0.73), which were expected to decrease to 0.77 and 0.60, respectively, based on bootstrapping; the positive predictive values were 10.2% and 12.5%; and the estimated detection rates were 40.7% and 22.0%, respectively, at a false‐positive rate of 10%. Conclusions A multi‐marker screening model for preeclampsia in low‐risk twin pregnancies, using a modified version of Fetal Medicine Foundation predictors in singletons, does not perform well. Uterine artery pulsatility index is of little value in screening for preeclampsia in low‐risk twin pregnancies.