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Tundra lists 3 High-risk Pregnancy clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT06932250
Leg Heating in Pregnant Women With Obesity
Obesity is a major risk factor for hypertensive disorders of pregnancy (HDP). The underlying mechanisms are largely unclear, but maternal vascular endothelial dysfunction is likely involved. Endothelial dysfunction in HDP could be attributed to 1) alterations in the L-arginine/nitric oxide (NO) pathway, and 2) an increase in endothelin-1 (ET-1). Additionally, augmented sympathetic vasoconstriction may also contribute to HDP. Chronic (repeated) whole-body heat exposure has been shown to increase NO bioavailability, decrease ET-1, and cause functional and structural adaptations in the vasculature. All these can improve vascular function, attenuate sympathetic (re)activity, lower blood pressure (BP), and reduce cardiovascular risk in non-pregnant individuals. Whether this is also true after regional (leg) heating in high-risk pregnant women is unknown. The investigators' central hypothesis is that chronic leg heating will be effective in improving vascular endothelial function and attenuating sympathetic vasoconstriction, leading to a reduction of the risk for HDP in pregnant women with obesity. The overarching goal of this proposal is to determine the vascular and neural effects of chronic leg heating in obese pregnancy. The study team plans to enroll pregnant women with obesity between 12-14 weeks of gestation and randomly assign them to either an intervention group or a control group (1:1 ratio). Participants in the intervention group will perform 16 weeks of home-based leg heating using a portable sauna blanket up to the hip (temperature of the blanket will be set at 65°C, 4 times/week, 45 min/session), whereas women in the control group will set the temperature of the blanket at 35°C at the same frequency and duration. Participants will be evaluated at baseline and then at 28-30 weeks of gestation. Aim 1 will determine the effects of chronic leg heating on maternal vascular function and surrogate markers of HDP. Aim 2 will determine the effects of chronic leg heating on sympathetic vasoconstriction and BP. Findings from this project will provide insight on the extent and potential mechanisms of how chronic leg heating works for improving vascular endothelial function and sympathetic vasoconstriction in pregnant women with obesity. Results obtained will set a foundation for future large multicenter clinical trials to determine the efficacy and generalizability of home-based leg heat therapy as a safe, ease-of-use, cost-effective, and non-drug approach for reducing the risk of HDP.
Gender: FEMALE
Ages: 18 Years - 45 Years
Updated: 2026-03-02
1 state
NCT07281339
Effect of Hypnobreastfeeding Education in High-Risk Pregnant Women
It is thought that hypnobreastfeeding training given to high-risk pregnant women will reduce anxiety levels, increase lactation, encourage breastfeeding, reduce the perception of insufficient milk, and facilitate adaptation to the postpartum breastfeeding process. According to the results of the power analysis, at least 68 high-risk pregnant women, 34 experimental and 34 control, should be included in the study. Data will be collected with the "Pregnancy Information Form", "Anxiety Assessment Scale", " Infant Feeding Intention Instrument", "Postpartum Information Form", "Perception of Insufficient Milk Questionnaire" and "Breastfeeding Adaptation Scale". In the research, hypnobreastfeeding training will be applied by the researcher to the high-risk pregnant women in the experimental group.
Gender: FEMALE
Updated: 2025-12-15
NCT06974188
AI-Powered CURAᵀᴹ Application for Identifying At-Risk Pregnancies in Obstetric Management
It is important to identify high pregnancies early through screening so that appropriate care and intervention may be instituted. An AI-assisted risk categorisation approach may be advantageous compared with traditional means of screening. The purpose of this study is to determine if the adoption of an AI-assisted approach in general pregnancy risk screening will improve the accuracy of antenatal risk categorization into high- and low- risk pregnancy groups, ultimately resulting in fewer poor maternal and fetal/neonatal outcomes.
Gender: FEMALE
Ages: 21 Years - 50 Years
Updated: 2025-07-15