View clinical trials related to Fetal Growth Retardation.
Filter by: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, we 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, we would like to collect biological specimens - blood, cervical and placental samples - 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.
The study will be conducted to examine the effects of abnormal growth pattern and cerebrovascular blood flow measurements on fetal frontal lobe development with the advancing ultrasound technology. Antenatal assessment of frontal lobe development will enable clinicians to predict neurodevelopmental problems that may develop postnatally. In addition, this study will examine the effects of FGR on frontal lobe development.
The main purpose of this study is to evaluate Fetal Medicine Foundation's pre-eclampsia risk calculator using maternal characteristics, first trimester serum placental growth factor (PlGF) and mean arterial pressure (MAP) in a Finnish general population. Condition or disease: pre-eclampsia, intrauterine growth restriction, polycystic ovary syndrome
Through multicenter study, the investigators aim to refine the process for precise prenatal diagnosis of fetal growth restriction (FGR), establish a cohort for severe maternal vascular malperfusion (MVM)-FGR, and conduct follow-up study to identify prognostic factors associated with both short-term and long-term outcomes.
This study aims to establish a multicenter cohort of FGR high-risk pregnant women, and aims to construct a combined predictive model for FGR by combining basic characteristics, medical history, early pregnancy ultrasound, and biomarkers.