View clinical trials related to Eclampsia.
Filter by:Severe preeclampsia is associated with an elevation in intracranial pressure (ICP). Optic nerve sheath diameter is a non-invasive surrogate of invasive ICP measurement. This study targets to evaluate the ICP in patients with or without preeclampsia.
The aim of this pilot intervention study is to develop and test a tailored web-based lifestyle modification program for women with recent preeclampsia or gestational diabetes. Women will start the study 3-15 months postpartum. After obtaining written informed consent and confirmation of eligibility criteria, eligible women will be included in the pilot study using a single arm study design (all women will be assigned to the lifestyle intervention program). Participants will be provided access to a web-based lifestyle intervention program with personalized coaching from a registered dietician.
The FACT Biomarker Subgroup Analysis is a pilot study of mothers who participated in the Folic Acid Clinical Trial (FACT, NCT01355159). This subgroup analysis aims to determine the effect of high-dose folic acid supplementation in pregnancy on maternal folate status and subsequent impact on risk for pre-eclampsia.
The core of this study is a cluster randomized controlled trial (RCT) of antenatal clinics which are located in four districts in Tanzania. We are conducting an effectiveness (pragmatic) rather than an efficacy (explanatory) trial because we are looking to measure the degree of benefit under 'real world' conditions. Although pragmatic and carried out in real world conditions, the proposed size and scope of the trial will allow us to achieve a robust evaluation of outcomes and determine the effectiveness of our intervention. A cluster design is the most appropriate type of methodology (rather than individual randomization by pregnant woman) as the intervention can be delivered to the entire health facility (of those facilities in the intervention group). The intervention is to implement an mHealth strategy to improve detection and management of PE (pre-eclampsia). This study is a multi-level, mixed-methods design that includes a cluster-randomized controlled trial (RCT) of antenatal clinics in rural Tanzania. Thirty health facilities have been randomized to control facilities and thirty facilities have been randomized to intervention clinics. All randomized clinics have upgraded antenatal care (ANC) and skilled birth attendants present. Nurses in the intervention clinics in this cluster arm will receive mHealth-based education in detection and management of PE and will be instructed and encouraged to follow a guideline-driven approach supported by mHealth (educational modules that provide decision support and reminders through the facility smartphone/tablet). At all antenatal visits, pregnant women will have their blood pressures measured and urine assessed for proteinuria, and, the result will be automatically sent by SMS (short message service) with a unique patient identifier to a central site for monitoring and tracking. Community Health Workers (CHWs) linked to the facility site and local communities will be instructed on which women to have follow-up visits within their communities. For all those women found to be at risk for PE (as well as other high risk maternal conditions), an SMS will be sent to the CHW, and, the nurses at the ANC recommending timely follow-up and protocol steps for management at that facility or for transfer for further monitoring and management at a higher-level facility. The nurses participating in the study have been drawn from the health facilities themselves, in both control and intervention arms. Quantitative data will be collected on an ongoing basis through the mobile platform. Women are eligible for recruitment between 15 weeks and 36 weeks gestation.
Background: Pregnancy-related conditions including hypertensive disorders of pregnancy (HDPs) and gestational diabetes mellitus (GDM) carry independent risks for future cardiovascular disease in women. Early identification, referral and management of pregnant women at increased risk of future cardiometabolic disorders may offer opportunities for prevention. Objective: To determine the feasibility and acceptability of the SMARThealth Pregnancy intervention to improve the detection, referral and management of pregnant women at high-risk of future cardiometabolic disorders in rural India. Study design: Cluster randomised pilot study of 4 primary care centres (PHCs) in two diverse areas of rural India. Outcome: The primary objective of this pilot study is to address the feasibility of the SMARThealth Pregnancy intervention.
To compare the incidence of preeclampsia in obese pregnant women (BMI greater than 30) with a singleton gestation at less than 20 weeks and either a history of preeclampsia in a prior pregnancy or stage I hypertension or pre-gestational diabetes who are randomized to either 81mg/day aspirin or 162mg/day aspirin.
This implementation study aims to evaluate the efficacy, acceptability, and safety of first-trimester screening and prevention for preterm-preeclampsia. It is a multicenter stepped wedge cluster randomized trial including maternity / diagnostic units from ten regions in Asia. The study involves a period where no intervention will take place at all recruiting units, and then at regular intervals, one cluster will be randomized to transit from non-intervention group to intervention group in which first-trimester screening for preterm-preeclampsia by the Bayes based method followed by the commencement of low-dose aspirin in high-risk women.
the study aims to assess the reliability of ultrasound findings measured by hand held ultrasound probes used by operators with variable experience in a low resource hospital.
The overall aims of this proposal are to improve, facilitate, optimize and equalize the existing screening system for adverse pregnancy outcomes in early pregnancy in order to limit adverse consequences for both the mother and infant, by: 1. Creating a Swedish prediction model with population-specific risk factors, optimized for the Swedish health care system, identifying high-risk women for preterm preeclampsia and validate the model within the cohort. This would give us the possibility to start aspirin prophylaxis in time, which has been proven to reduce the risk of developing preterm preeclampsia by 50%. 2. Validating the Fetal Medicine Foundation prediction model for detection of preterm (< 37 gestational weeks) preeclampsia in a Swedish population. 3. Creating a prediction model identifying high-risk women for overall preeclampsia during pregnancy and birth of a small for gestational age infant in order to plan individualized surveillance for early detection, which has been proven beneficial for both the mother and infant. 4. Creating a national pregnancy biobank with blood samples and individual clinical registry data, including pregnancy outcomes, enabling future research on prevention and early detection for various adverse pregnancy outcomes which could be such as preterm birth and intrauterine growth restriction.
The purpose of this study is to 1. Identify a cut-off for the ratio of the serum proteins soluble FMS-like Tyrosine Kinase 1 (sFLT-1) and placental growth factor (PlGF) that identifies women will who develop preeclampsia with severe features within 2 weeks of testing (clinically positive) from those who do not develop preeclampsia with severe features within 2 weeks of testing (clinically negative) among preterm pregnant women with hypertensive disorders of pregnancy. And 2. To validate the cut-off the ratio of sFLT-1 and PlGF and to validate the performance of the automated assays used to find the cut-off. Test performance includes positive predictive value, negative predictive value, sensitivity, and specificity. Subjects will provide blood, urine, and saliva samples at the time of enrollment. Samples will be frozen for batch assessment of sFLT-1 and PlGF levels by automated assays. Clinicians, subjects, and researchers will be blinded to protein level assessment, therefore assay results will not affect clinical management.