scholarly journals Uterine artery pulsatility index in hypertensive pregnancies: When does the index normalize in the puerperium?

2016 ◽  
Vol 59 (6) ◽  
pp. 463 ◽  
Author(s):  
Seung Mi Lee ◽  
Jong Kwan Jun ◽  
Su Jin Sung ◽  
Sung Il Choo ◽  
Jeong Yeon Cho ◽  
...  
Keyword(s):  
Pulsatility Index ◽  
Uterine Artery

Increased pulsatility index of uterine artery Doppler between 26 and 28 weeks of gestation and adverse perinatal outcomes

2021 ◽  
pp. 1-8
Author(s):  
Daniela Rocha Ramos ◽  
Edward Araujo Júnior ◽  
Caetano Galvão Petrini ◽  
Fernando Felix Dulgheroff ◽  
Taciana Mara Rodrigues da Cunha Caldas ◽  
...  
Keyword(s):  
Pulsatility Index ◽  
Uterine Artery ◽  
Perinatal Outcomes ◽  
Uterine Artery Doppler ◽  
Adverse Perinatal Outcomes

A Pilot Randomized Trial Comparing the Effects of 80 versus 160 mg of Aspirin on Midtrimester Uterine Artery Pulsatility Index in Women with a History of Preeclampsia

2020 ◽  
Vol 42 (12) ◽  
pp. 1498-1504
Author(s):  
Sylvie Tapp ◽  
Paul Guerby ◽  
Mario Girard ◽  
Stéphanie Roberge ◽  
Stéphane Côté ◽  
...  
Keyword(s):  
Randomized Trial ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
History Of

scholarly journals Prediction of Intrauterine Growth Restriction in High Pulsatility Index of Uterine Artery

2017 ◽  
Vol 22 (2) ◽  
pp. 1-6
Author(s):  
Nidhi Sharma ◽  
Sunayana Srinivasan ◽  
Krishnamurthy Jayashree ◽  
Kulasekaran Nadhamuni ◽  
Meenakshi Subbiah ◽  
...  
Keyword(s):  
Intrauterine Growth Restriction ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
Growth Restriction ◽  
Intrauterine Growth

scholarly journals The Use of Biochemical and Biophysical Markers in Early Screening for Preeclampsia in Mongolia

2018 ◽  
Vol 6 (3) ◽  
pp. 57
Author(s):  
Urjindelger Tserensambuu ◽  
Ariunbold Chuluun-Erdene ◽  
Munkhtsetseg Janlav ◽  
Erkhembaatar Tudevdorj
Keyword(s):  
Mean Arterial Pressure ◽  
Arterial Pressure ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
Maternal Serum ◽  
Operating Characteristics ◽  
Early Screening ◽  
Roc Curve Analysis ◽  
Detection Rates ◽  
The Mean

Preeclampsia (PE) is a major cause of maternal and perinatal morbidity and mortality, particularly in developing countries. In Mongolia, preeclampsia and eclampsia have occurred among pregnancy complications at a rate of 25% in recent years. Recent studies in the literature have screened for preeclampsia by combining maternal factors with biomarkers. This study was conducted using prospective cohort research including 393 singleton pregnancies at 11–13+6 weeks. Maternal plasmas pregnancy-associated plasma protein-A (PAPP-A) and maternal serum placental growth factor (PlGF) were measured using Perkin Elmer time-resolved fluoroimmunoassay (DELFIA) kits, and the measurement of mean arterial pressure (MAP) was performed by automated devices and the uterine artery pulsatility index was measured by Doppler ultrasound. In the study population, there were 16.7% showing complicated preeclampsia. The receiver-operating characteristics (ROC) curve analysis showed a sensitivity of 71.21%, and a specificity of 75.54% when the mean arterial pressure cut-off was 89.5 mm; while a sensitivity of 33.36% and specificity of 77.68% were observed when the uterine artery mean pulsatility index (mPI) cut-off was 2.34; a sensitivity of 79.66% and specificity of 44.04% were observed when the PAPP-A cut-off was 529.1 mU/L; and a sensitivity of 74.58% and specificity of 46.6% were observed when the PlGF cut-off was 39.87 pg/mL. The detection rates following the combination of markers with the maternal history were as follows: 62.7% with mean arterial pressure, 69.5–82.9% with two markers 86.5% with three markers and 91.4% with four markers. In conclusion, the mean arterial pressure was highly sensitive and demonstrated its easy usage and cost-effectiveness as a predictive marker for the early screening of preeclampsia from other biomarkers.

Middle Cerebral Artery-to-Uterine Artery Pulsatility Index Ratio Independently Predicts Adverse Perinatal Outcome in Pregnancies at Term

2020 ◽  
Author(s):  
Sufen Zhou ◽  
Hongyan Guo ◽  
Heng Liu ◽  
Mingqun Li
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Middle Cerebral Artery ◽  
Perinatal Outcome ◽  
Pulsatility Index ◽  
Uterine Artery ◽  
Regression Analyses ◽  
Multivariate Logistic Regression ◽  
Adverse Perinatal Outcome ◽  
Independent Risk Factors

Abstract Background: This study aimed to investigate potential predictors, including cerebroplacental ratio (CPR), middle cerebral artery (MCA)/uterine artery pulsatility index (PI) ratio, for adverse perinatal outcome in pregnancies at term.Methods: This was an observational, prospective study of recruited pregnancies at term. An adverse perinatal outcome was set as the primary observational endpoint. The receiver operating characteristic (ROC) curve was plotted to investigate the predictive and cut-off values of risk factors for adverse perinatal outcome. Independent risk factors (maternal, neonatal, prenatal ultrasound and Doppler variables) for adverse perinatal outcome were evaluated by the univariate and multivariate logistic regression analyses.Results: A total of 392 pregnancies at term were included and 19.4% of them had suffered adverse perinatal outcome. CPR (OR: 0.42, 95%CI: 0.20-0.93, P=0.032) and MCA/uterine artery PI ratio (OR: 0.25, 95%CI: 0.16-0.42, P=0.032) were two independent risk factors for adverse perinatal outcome by univariate and multivariate logistic regression analyses.Conclusions: MCA/uterine artery PI ratio is a good predictor of adverse perinatal outcome in pregnancies at term.

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