Uterine artery Doppler ultrasound in postpartum women with retained placental tissue

2009 ◽  
Vol 88 (6) ◽  
pp. 724-728 ◽  
Author(s):  
Ajlana Mulic-Lutvica ◽  
Karin Eurenius ◽  
Ove Axelsson
Author(s):  
Pradip R. Gaikwad ◽  
Manisha R. Gandhewar ◽  
Nity Rose ◽  
Vidyadhar Suryakar

Background: Pregnancy induced hypertension (PIH) is associated with adverse perinatal outcome. Multi vessel color Doppler studies are useful in these cases for timely intervention. The aim of present study was to know the significance of umbilical, middle cerebral and uterine artery Doppler studies in PIH and to analyse its role in predicting perinatal outcome.Methods: This was a prospective study of 106 singleton pregnancies in the third trimester with PIH. The results of last Doppler ultrasound within one week of delivery were used for analysis. Adverse perinatal outcome was studied in the form of emergency cesarean section for fetal distress, meconium stained amniotic fluid, Apgar at 5 min <7, NICU admission and perinatal mortality (stillbirths and neonatal death). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy of various Doppler parameters were calculated after comparing with standard.Results: In the present study specificity and diagnostic accuracy of all Doppler ultrasound parameters was high in predicting adverse perinatal outcome. Cerebroplacental ratio showed highest specificity (98.55%), PPV (94.44%) and diagnostic accuracy (80.19%) in predicting adverse perinatal outcome and it is better than MCA PI and UA PI alone. Uterine artery Doppler evaluation also gives additional information in predicting adverse perinatal outcome.Conclusions: Amongst various Doppler parameters cerebroplacental index (MCA/UA PI) is best predictor of adverse perinatal outcome.


2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110368
Author(s):  
Ananya Trongpisutsak ◽  
Vorapong Phupong

The objective was to determine whether a combination of serum micro RNA-210 level and uterine artery Doppler can predict preeclampsia in pregnant women at 16–24 weeks gestation. A prospective observational study conducted in singleton pregnant women at 16–24 weeks of gestation who had prenatal care at the King Chulalongkorn Memorial Hospital, Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand between 2017 and 2018. Uterine artery Doppler ultrasound and blood testing for serum micro RNA-210 were performed. Pregnancy outcomes were recorded. Optimal cut-off for uterine artery pulsatility index (PI) and serum micro RNA-210 were obtained to calculate the predictive values for preeclampsia. Data from 443 participants were analyzed. Twenty-two cases developed preeclampsia (5.0%) and seven of these preeclamptic cases had early-onset preeclampsia (1.6%). Pregnant women with preeclampsia had higher mean PI of the uterine artery (1.34 ± 0.52 vs 0.98 ± 0.28, p = 0.004), higher detection rates of diastolic notching (45.5% vs 11.2%, p < 0.001), and lower median serum micro RNA-210 level (22.86 vs 795.78, p < 0.001) than pregnant women without preeclampsia. Using abnormal serum micro RNA-210 level, abnormal mean PI or uterine artery diastolic notches to predict for preeclampsia, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were 95.5%, 54.9%, 10.0%, and 99.6%, respectively. For early-onset preeclampsia prediction, the sensitivity, specificity, PPV, and NPV were 100.0%, 53.2%, 3.3%, and 100.0%, respectively. This study demonstrated that a combination of serum micro RNA-210 and uterine artery Doppler is effective in predicting preeclampsia in the second trimester.


2011 ◽  
Vol 66 (4) ◽  
pp. 225-239 ◽  
Author(s):  
Sylwia Kuc ◽  
Esther J. Wortelboer ◽  
Bas B. van Rijn ◽  
Arie Franx ◽  
Gerard H. A. Visser ◽  
...  

2004 ◽  
Vol 271 (1) ◽  
pp. 53-58 ◽  
Author(s):  
R. Axt-Fliedner ◽  
A. Schwarze ◽  
I. Nelles ◽  
C. Altgassen ◽  
M. Friedrich ◽  
...  

Placenta ◽  
2013 ◽  
Vol 34 (6) ◽  
pp. 474-479 ◽  
Author(s):  
I. Derwig ◽  
G.J. Barker ◽  
L. Poon ◽  
F. Zelaya ◽  
P. Gowland ◽  
...  

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