OBJECTIVE: The purpose of this study was to develop a predictive model for preeclampsia. STUDY DESIGN: This was a prospective screening study for preeclampsia using uterine artery Doppler ultrasound in unselected low-risk singleton pregnancies at community hospitals in the UK (n = 32,157). Logistic regression models were developed and their predictive ability assessed using the area under the receiver operator curve (AROC). RESULTS: Six hundred twelve (2.0%) women developed preeclampsia, and 144 (0.5%) required early delivery (<34 weeks). A model using both maternal and ultrasound factors had an AROC of 0.798, which was higher than ultrasound alone (0.729, P < .0001) or maternal factors alone (0.712, P < .0001). In early onset disease, the ROC of ultrasound alone (0.922) was not significantly improved by adding maternal predictors (0.945, P = .27). In contrast, late onset disease was better predicted by the combined model (AROC 0.798) than ultrasound alone (AROC 0.729, P < .0001) or maternal factors alone (AROC 0.712, P < .0001). CONCLUSION: The combination of uterine artery Doppler ultrasound and maternal factors provided the best estimate of risk.
OBJECTIVE: The purpose of this study was to develop a predictive model for preeclampsia. STUDY DESIGN: This was a prospective screening study for preeclampsia using uterine artery Doppler ultrasound in unselected low-risk singleton pregnancies at community hospitals in the UK (n = 32,157). Logistic regression models were developed and their predictive ability assessed using the area under the receiver operator curve (AROC). RESULTS: Six hundred twelve (2.0%) women developed preeclampsia, and 144 (0.5%) required early delivery (<34 weeks). A model using both maternal and ultrasound factors had an AROC of 0.798, which was higher than ultrasound alone (0.729, P < .0001) or maternal factors alone (0.712, P < .0001). In early onset disease, the ROC of ultrasound alone (0.922) was not significantly improved by adding maternal predictors (0.945, P = .27). In contrast, late onset disease was better predicted by the combined model (AROC 0.798) than ultrasound alone (AROC 0.729, P < .0001) or maternal factors alone (AROC 0.712, P < .0001). CONCLUSION: The combination of uterine artery Doppler ultrasound and maternal factors provided the best estimate of risk.
Authors: Katherine R Goetzinger; Ashima Singla; Sabrina Gerkowicz; Jeffrey M Dicke; Diana L Gray; Anthony O Odibo Journal: Prenat Diagn Date: 2010-12 Impact factor: 3.050
Authors: Giovanna Oggè; Roberto Romero; Juan Pedro Kusanovic; Tinnakorn Chaiworapongsa; Zhong Dong; Pooja Mittal; Edi Vaisbuch; Shali Mazaki-Tovi; Juan M Gonzalez; Lami Yeo; Sonia S Hassan Journal: J Matern Fetal Neonatal Med Date: 2010-08
Authors: H Stepan; S Kuse-Föhl; W Klockenbusch; W Rath; B Schauf; T Walther; D Schlembach Journal: Geburtshilfe Frauenheilkd Date: 2015-09 Impact factor: 2.915
Authors: Tracey L Weissgerber; Paula L McGee; Leslie Myatt; John C Hauth; Michael W Varner; Ronald J Wapner; John M Thorp; Brian M Mercer; Alan M Peaceman; Susan M Ramin; Philip Samuels; Anthony C Sciscione; Margaret Harper; George Saade; Yoram Sorokin Journal: J Matern Fetal Neonatal Med Date: 2014-01-13