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Published on: September 26, 2018
Predictors of obstetric complications in women with heart disease
Maria Goya1, Manel Casellas1, Carme Merced1
1a Maternal-Fetal Medicine Unit .
Objectives:
The objective of this study is to evaluate obstetric outcomes in women with heart disease and determine whether current multidisciplinary management approaches adversely affect the mother, the neonate, or both. Also to compare the accuracy of several risk scores (RS) including the modified World Health Organization classification (mWHO) and CARPREG to predict obstetric and neonatal complications and to study the addition value of Uteroplacental-Doppler flow (UDF) parameters to predict obstetric complications.
Methods:
A prospective cohort study examined outcomes in women with heart disease (HD), the majority of whom had corrective surgery and delivered between January 2007 and March 2012.
Results:
One hundred and seventy-four patients with 179 pregnancies were included in the study. Obstetric complications, including premature labor, arose in 87 patients (48.6%). Neonatal complications were observed in 11 cases (7%). On multivariate analysis, maternal heart disease was predictive of adverse perinatal events (46 cases, 25.7%) and mode of delivery (Thierry's spatula) of third- or fourth-degree perineal tears (six cases, 3.2%). mWHO classification predicted obstetric complications (p = 0.0001) better than the CARPREG study. Impaired UDF (uterine artery pulsatility index-20 weeks and umbilical artery pulsatility index-32 weeks in HD versus healthy women: 20w 1.12 versus 1.34, p = 0.005; 32w 0.87 versus 1.09, p = 0.008) was associated with adverse obstetric and offspring outcome in the group of HD pregnant women.
Conclusions:
Nearly 50% of pregnancies were associated with an adverse obstetric outcome, particularly IUGR. mWHO was better at predicting obstetric and neonatal complications that CARPREG in all categories. Furthermore, compromised UDF combined with mWHO improved the prediction of obstetric and offspring complications in this population.
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