View clinical trials related to Fetal Growth Retardation.
Filter by:Investigation of the relationship between maternal serum vasohibin-1, vasohibin-2, cardiotrophin -1 and endocan concentrations at the 11th and 14th weeks of gestation and adverse perinatal outcomes.
This proposed randomized controlled trial aims to investigate the effect of maternal egg consumption during pregnancy on birth length. The study hypothesizes that mothers who consume two eggs a day will have children whose birth length is significantly longer than those born to mothers who consume a typical diet. Pregnant women (n=956) from Nyagatare District in Rwanda will be randomized into one of two study arms: a treatment group (T1) or a control group (T2). Mothers in the treatment arm will receive an animal source food (ASF) supplement of two eggs per day, from enrollment during first trimester through childbirth. Mothers in the control arm will be asked to continue consuming their typical diet. Mothers in both arms will receive standard information, education, and communication about health and nutrition during pregnancy and after birth. All enrolled mothers in the study will also receive up- to-date standard care for pregnant women, as outlined by the Government of Rwanda, a fortified blended flour if they are not already receiving it from the government, a mobile phone with cellular connection, health insurance if they do not already have, and compensation for traveling to a Community Health Worker's home every day for study engagement. All women will receive ultrasound examinations three times during pregnancy, as well as blood tests for anemia. Women in the control arm will receive additional compensation at childbirth. Women will be recruited and enrolled during first trimester (9-14 weeks gestational age), as confirmed by ultrasound. At enrollment, baseline data will be collected on socio-economic factors, maternal health, maternal diet, and fetal growth. Additional markers for maternal health and child growth and development, including markers for fetal brain development, will be collected during two targeted ante-natal clinic visits (20-26 weeks and 30-34 weeks), where all women will receive ultrasound assessment in addition to their typical clinical assessment. At childbirth, maternal and child health data will be collected, including birth outcomes, child anthropometry, and indicators of neurodevelopment. Additional follow-up of maternal and child health indicators, including maternal depression, and infant and young child feeding practices, will be collected at 1 month and 6 months of child age.
The aim of our study is to evaluate the effect of PE and FGR on fetal cardiac function. Pregnancies with preeclampsia and FGR, and preeclampsia with normal fetal growth are evaluated by echocardiography and compared with uncomplicated pregnancies.
Fetal growth restriction (FGR) is a serious complication in pregnancy that can lead to various adverse outcomes. It's classified into early-onset (before 32 weeks) and late-onset (after 32 weeks), with late-onset associated with long-term risks like hypoxemia and developmental delays. The study focuses on the role of inflammation in FGR, introducing new blood markers for better understanding and diagnosis. It also addresses the challenges of using advanced diagnostic tools in low-resource settings and explores the use of machine learning to predict FGR based on inflammatory markers, highlighting the potential of artificial intelligence in overcoming these challenges.
The purpose of this research study is to study the use of an ultrasound measurement system (USCOM) for patients with newly diagnosed fetal growth restriction (FGR). This system uses a technology to measure how much blood is being pumped in and out of the heart, which is important for understanding the heart's function in relation to pregnancy.
An essential part of clinical research is the availability and accessibility of human biospecimens for the identification of biomarkers, new treatments and measurement of response to therapy. Proteins, RNA and DNA can be extracted and studied as well. This is a critical first step in performing many fundamental molecular biology experiments. A variety of biospecimens are utilized for research including but not limited to normal and malignant tissues, blood, and other body fluids. In order to obtain high-quality biospecimens, they must be acquired serially, stored according to current standards, and matched with clinical information for maximum value. As such, the investigators would like to create a repository of biospecimens collected from pregnant patients who are seen at Mount Sinai Hospital and other research hospitals in Toronto. Mount Sinai provides personnel and infrastructure to serve the largest (7500 births/year) and highest complex Maternity program in Ontario. Of the 7500 patients a year, at least 2500 are considered high risk pregnancies, where there's a possibility of preeclampsia, placenta accreta and a host of other complications. For this study, biological specimens - blood, cervical and placental samples - will be collected from these high-risk groups in order to better understand the causes of the underlying conditions.
The autonomic nervous system (ANS) is involved in cardiovascular, metabolic and cognitive processes, so its study in the fetus can provide relevant functional diagnostic and prognostic information. In particular, the study of the fetal ANS allows us to understand the degree of nervous maturation reached by the fetus and any developmental disorders that could have an impact on the cardiovascular characteristics of the fetus. The goal of this open-label, non-randomized, prospective observational study is to study the fetal ANS in pregnant women between 23 and 40 weeks of gestation. The objetives are: - To Evaluate Fetal Autonomic Nervous System (FANTE) through the analysis of maternal electrocardiogram (ECG) and others clinical parameters usually used in pregnancy monitoring. - To identify any variations in the fetal ECG in the event of developmental or pathological maternal and/or fetal pregnancy. Participants will be recruited during ultrasound visits, information sessions, and hospitalizations after signing informed consent.
Fetal cells are not easily obtained from pregnant patients; this curtails testing to assess the health of the fetus and the mother. Currently, the only way of diagnosing fetal genetic or chromosomal abnormalities is by invasive techniques, such as chorionic villous sampling (CVS) and amniocentesis performed at 10 to 13 weeks and after 15 weeks of gestation, respectively. Although small, there is a risk for fetal loss with these procedures. Transcervical cell sampling (TCS), similar to a Pap smear, is a platform that meets the requirements for prenatal genetic testing (genetic testing with fetal cells obtained before birth), as well as diagnosis of maternal pregnancy complication, at a very early stage of pregnancy (as early as 5 weeks) and carries low risk for the mother and the developing fetus. This study will examine cervical fluid collected using various noninvasive methods for TCS in pregnant women. The number of placental cells will be assessed against similarly obtained samples from nonpregnant women of reproductive age who lack cells derived from a placenta. Participating volunteers will provide written informed consent. Only standard medical procedures and approved devices will be used for collection of cervical fluid, minimizing risk to the participants and their fetuses. No test results or other benefits will be available to the participants.
This study serves as a supplemental investigation to the randomized controlled SCAN-AID study (NCT0632187). This study will evaluate and compare the fetal growth estimation outcomes of AI-supported groups, expert sonographers, and control groups using a secondary AI predictive model.
The goal of this clinical trial is to learn more about how the food and nutrition babies receive while in the Neonatal Intensive Care Unit (NICU) influences their ability to gain weight and fat-free mass, and their future growth and development. Participants will: - have body growth measurements collected using the PEAPOD device - have nutritional information collected, and - be followed for neurodevelopmental outcomes Participants can expect to be in the study for 36 months.