Active clinical trials for "Fetal Macrosomia"

A single center, randomized controlled trial was conducted to investigate whether individualized exercise guidance was more effective in improving pregnancy outcomes in normal pregnant women. What's more, the trial was also conducted to find out whether there is a mediating effect between prenatal exercise and pregnancy outcomes.

Macrosomia and growth restriction are important causes of perinatal morbidity, at or near to term. However, clear identification of 'at risk' foetuses is difficult and clinical estimates of fetal weight are poor. Historically, ultrasound has been used as a second line in such cases but the accuracy of this imaging modality in the mid- to late third trimester is also limited. Estimated fetal weight (EFW) is an important part of the clinical assessment and is used to guide obstetric interventions, when a fetus is small or large for dates. It frequently is the single most important component guiding interventions, such as induction of labour or Caesarean section. Due to the imprecision of ultrasound-derived EFW, particularly in cases of suspected macrosomia in the 3rd trimester, the investigators believe that these estimates should not be used to make important obstetric decisions regarding mode and timing of delivery and that a more accurate method of assessment could produce better outcomes by restricting interventions to those foetuses at greatest risk. Some publications have already demonstrated that magnetic resonance (MR) imaging derived-EFW close to delivery, is more accurate than ultrasound The goal of the present study is thus to compare the performance of magentic resonance imaging derived-EFW, versus ultrasound derived-EFW at 36 weeks of gestation, regarding the prediction of neonatal macrosomia.

The aim of this work is the prediction of fetal macrosomia by measuring: HbA1C. Umbilical cord thickness. Interventricular septum thickness.

Gestational diabetes is the development of diabetes during pregnancy. Left untreated, gestational diabetes and preeclampsia can lead to serious -- or even fatal -- complications for both mother and child. Some evidence suggesting omega-3 fatty acids might help protect women from two serious pregnancy complications -- gestational diabetes and preeclampsia. Omega-3 fatty acids, in particular Docosahexaenoic acid (DHA), help a pregnant woman give her developing baby every advantage in life starting in-utero. Recent studies suggested that the biologic processes underlying the observed associations may involve epigenetic changes, specifically DNA methylation. In this study the investigators aimed to examine the effect of fish oil supplementation in women with gestational diabetes mellitus on newborn outcomes and insulin like growth factor 1 DNA methylation.

Abnormal fetal development such as macrosomia can cause some complications on both fetus and mother.The measurement of fetal anterior abdominal wall thickness (FAWT) is an easy examination that it can be obtained during an examination of a pregnant woman by ultrasound. Macrosomia for fetus can lead to some morbidities. It can affect perinatal outcome and increase childbirth complications and operative birth. There are some studies scrutinizing the relationship between FAWT and diabetes in the literature. However there are few studies which scrutinize effect of FAWT on both abnormal fetal development and adverse perinatal outcomes in non-diabetic pregnancies and non high risk pregnancies. Hence the investigators wonder if FAWT can anticipate birth-weight or macrosomic infant or perinatal outcome regarding with macrosomia in the second trimester.

Large for gestational age infants (LGA) have increased risks of adverse short-term perinatal outcomes. This study aims to develop a multivariable prediction model for the risk of giving birth to a LGA baby, by using biochemical, biophysical, anamnestic, and clinical maternal characteristics available at first trimester. This prospective study includes all singleton pregnancies attending the first trimester aneuploidy screening at the Obstetric Unit of the University Hospital of Modena, in Northern Italy.

Fetal growth abnormalities is one of the most common problems faced in modern obstetrics. The association between low birth weight and perinatal death as well as severe morbidity is well known. Since fetal weight cannot be measured directly, obstetricians use estimates of fetal weight obtained by utilizing various ultrasonographic measurements to diagnose growth abnormalities. Currently in clinical practice, the majority of fetal ultrasound centers employ population-based fetal growth curves that have been previously published and updated to estimate fetal weight percentiles. Up to 70% of neonates found to be below the 10% percentile for estimated fetal weight in population-based growth curves are actually constitutionally small; that is a neonate deemed "small" based on standardized growth curves but in reality have reached its appropriate growth potential in relation to its genetic predisposition. An equally difficult clinical scenario is fetal macrosomia. A recent meta-analysis revealed that the sensitivity and specificity of ultrasound detection of fetal macrosomia ranges from 15-79%. When compared with neonates with normal birth weight, the odds ratio of emergency cesarean delivery and shoulder dystocia are increased significantly. Various ultrasound parameters have been tested in an effort to detect both fetal compromise prior to the development of permanent damage and allow differentiation between true fetal growth abnormalities and normal growth potential. Recent reports have introduced the concept of customized fetal growth curve which uses physiological variables to report an adjusted fetal growth assessment. To date, the use of customized fetal growth curves has not been evaluated prospectively. Furthermore, this strategy has not been compared to standard population-based fetal growth curves currently used in clinical practice to determine which would be the most ideal for use in clinical practice. The primary research question is: are customized fetal growth curves more accurate than population-based fetal growth curves at predicting abnormalities in fetal growth, defined as small-for-gestational age or large-for-gestational age at birth in newborns of high-risk pregnancies? Randomly, participants will be assigned to either having fetal growth reported by customized or population bases growth curves.

The purpose of this study is to compare the incidence of composite neonatal morbidity and birthweight >4500 grams among uncomplicated large for gestational age (LGA) fetal growth at delivered 37 weeks versus expectant management.

The aim of this prospective longitudinal study was to investigate the relationship between placental thickness during the second and third trimesters and placental and birth weights.

Background Macrosomia at birth is associated with subsequent susceptibility to obesity, abnormal glucose metabolism, hypertension and dyslipidaemia. Epigenetic reprogramming has been reported to be involved in the development of human diseases caused by suboptimal environmental or nutritional factors. Objective The study was aiming to explore epigenetic mechanism influences on macrosomic infants exposed to intrauterine hyperglycemia. Design The investigators performed a genome-wide analysis of DNA methylation in cord blood from macrosomic infants born to women with gestational diabetes or infants with normal birth weight born to normal glucose-tolerant women in order to identify genes related to foetal growth or early adipose tissue development. The candidate genes were then validated using SEQUENOM MassARRAY after bisulfite conversion.