View clinical trials related to Preeclampsia Severe.
Filter by:Preeclampsia complicates approximately 8% of all pregnancies. A critical factor of outpatient monitoring is patient education; specifically, education regarding nature of the disease, ongoing short- and long-term risks, and warning signs and symptoms for worsening of disease. This study aims to compare patient knowledge using a novel illustration based app compared to standard discharge instructions.
We study the effect of intravenous labetalol versus hydralazine in sever preeclampsia patients on cerebral blood flow and neurological outcome
The purpose of this study is to better understand diagnosis and treatment of preterm preeclampsia. Currently, there are limited laboratory tests that can be used to diagnosis preeclampsia. Additionally, there are few treatments for this condition. This clinical trial will explore treatment options, Metformin and Esomeprazole, as well as serum markers that could improve the diagnosis and treatment of preterm preeclampsia.
Dexmedetomidine was reported to effectively reduce cerebral metabolism and ICP by decreasing cerebrospinal fluid pressure in patients with cerebral tumors or head injuries that require craniotomy. However, it was also reported to exhibit no effect on ICP. the effect of MgSO4 associated with dexmedetomidine on ONSD in severely pre-eclamptic parturient has been understudied . Though this study aims to evaluate the effect of dexmedetomidine infusion on raised ICP in severely pre-eclamptic parturients using ocular ultrasonography to determine ONSD as a measure of ICP.
The neurological alterations associated with preeclampsia depend on cerebral autoregulation, a theory that outlines the mechanisms by which the nervous system controls cerebral perfusion. However, with the loss of autoregulation, increased blood flow, edema and eventually increased intracranial pressure are triggered and may be translated into neurological manifestations such as symptoms of vasospasm, one of the criteria for severity in preeclampsia. Nervous system manifestations frequently found in preeclampsia are headache, blurred vision, scotomas and hyperreflexia. Although uncommon, temporary blindness (lasting a few hours to a week) may also accompany severe preeclampsia and eclampsia. The optic nerve, as part of the central nervous system, is surrounded by cerebrospinal fluid and dura mater, which forms the optic nerve sheath. Due to the connection with the intracranial subarachnoid space, the diameter of the optic nerve sheath is influenced by variations in cerebrospinal fluid pressure. Increased intracranial pressure is transmitted to the subarachnoid space surrounding the optic nerve, causing its expansion. Recent studies suggest that an optic nerve sheath diameter greater than 5 mm correlates 100% with ICP (intracerebral pressure) greater than 20 mm Hg. Due to the simple nature of the test and the limited time required to perform it, it is an ideal non-invasive test to assess changes in mental status, severe headache, and to take the necessary measures aimed at reducing intracranial pressure. The diagnosis of elevated intracranial pressure is challenging and critical, because early recognition and treatment are essential to prevent brain damage or death since preeclampsia with severe data remains one of the most frequent complications in our institution. These values are not taken from the obstetric population, so this study proposes the description of a standard value for the pregnant population. There are few studies that describe a value to help us define cases of this pathology and correlate it with the signs and symptoms of severity in patients with preeclampsia.
A recent randomized controlled trial by Cluver et al included 180 women with preterm pre-eclampsia between 26+0 to 31+6 weeks' gestation undergoing expectant management: 90 were randomised to extended release metformin and 90 to placebo. Investigators found that extended release metformin (3g daily) can prolong gestation in women with preterm pre-eclampsia. Combination metformin and esomeprazole has shown promise in the treatment of preeclampsia as both agents reduce placental and endothelial secretion of soluble fms-like tyrosine kinase 1 (sFlt-1) and soluble endoglin, and reduce endothelial dysfunction.
This is an open label, randomized control trial (RCT) in which high risk for pre-eclampsia pregnant subjects will be randomly assigned to either an intervention group (metformin 1 gm twice daily plus aspirin 100 mg per day and standard of care) versus control group (aspirin 100 mg per day and standard of care) that will be administered between 11 to 13 weeks of gestation until delivery . Only women at high risk of pre-eclampsia as defined by the ACOG practice bulletin will be included (see inclusion criteria). Patient assignment will not be blinded as control group will not be given a placebo; the data will be analyzed on an intention to treat basis. Enrolled subjects will be followed throughout pregnancy and up to 30 days post-delivery (as per hospital practice).
Preeclampsia is the main cause of increased maternal and perinatal mortality during pregnancy. Preeclampsia is mainly manifested as hypertension, urine protein, or damage symptoms of other target organs after 20 weeks of pregnancy. In preeclampsia high-risk group, early intervention and prevention of aspirin treatment can reduce preeclampsia or reduce its complications. Some serological biomarkers, such as placental protein 13 and placental growth factor, are closely related to preeclampsia. The clinical manifestations of preeclampsia are diverse, and the biomarkers distribution of early and late preeclampsia is also different. Multivariate models will be the trend for the prediction of risk of preeclampsia. The deep learning model can train the algorithm layer by layer by unsupervised learning method, and then use the supervised back propagation algorithm for tuning. It has strong capability and flexibility, and has been successfully applied in medical fields, such as the diagnosis of skin cancer. In this study, maternal clinical data, routine laboratory indicators and biological markers in early pregnancy will be combined, and a deep learning method based on multiple models will be adopted to establish a risk prediction model for early preeclampsia, so as to improve the clinical ability for early diagnosis of preeclampsia. The deep learning method reduces the number of parameters by using spatial relative relation, which can improve the prediction ability of the model. Multi-model method is a less commonly used modeling method, and the models established by this method generally have better stability. This project combines the above two methods to establish a risk prediction model for preeclampsia, and the research is of great significance.
The study compares the effect of Intravenous carbetocin versus combined use of intravenous oxytocin and rectal misoprostol for prevention of postpartum hemorrhage during delivery of women with severe preeclampsia
Hypertensive disorders of pregnancy (HDP) are stress tests which may identify women at high risk of future cardiovascular disease (CVD), the leading cause of death among women. Given the public health impact of HDP and CVD, there is a compelling need to identify scalable interventions to improve preventative care among women who have risk identified during pregnancy. We will examine the effects of delivering electronic prompts to obstetric care providers (nudge) on transitions of care in the postpartum period. We will conduct a pilot randomized trial to evaluate whether this nudge intervention will improve postpartum counseling and lead to greater follow-up with preventative care providers among women with HDP.