View clinical trials related to Toxemia.
Filter by:The overall goal of this large, pragmatic, comparative effectiveness trial is to test the hypothesis that among at-risk individuals, 162 mg/day aspirin is superior to 81 mg/day in preventing Hypertensive disorders of pregnancy (HDP), and that there are multiple factors associated with adherence with aspirin therapy that will be important to identify to enable optimal implementation of study findings and population-level benefits.
Non-COVID-19 sepsis (Sepsis) has always been one of the common diseases in critically ill patients. The main treatment strategy is to kill pathogens and mitigate hyperinflammation. One study demonstrated that the supplementation with 576,000 IU cholecalciferol (vitamin D3) as a single dose in critically ill adults in the medical intensive care units (MICUs) can improve clinical outcomes, including acute physiology and chronic health evaluation II score (APACHE II), sequential organ failure assessment score (SOFA), and C-reactive protein (CRP). It is a three-year, multi-center, prospective, parallel, double-blind, randomized controlled clinical trial for 240 eligible subjects, with administrations of vitamin D3 576,000 IU or placebo every 24 hours for 3 days (72 hours) within 96 hours after intensive care unit (ICU) admission.
Sepsis is a multifactorial syndrome characterized by a dynamic course and a clinical outcome dependent on several factors, and responsible for one in five deaths worldwide. The aim of this trial is to identify new prognostic markers for the progression of sepsis to septic shock, by comparing epigenetic markers between patients who have or have not developed severe forms of sepsis. The main objective of this preliminary study is to identify prognostic markers for the progression of sepsis to septic shock, i.e. to compare targeted markers between subjects with sepsis who progress to septic shock versus subjects with sepsis who do not progress to septic shock.
The goal of this clinical trial is to better understand how different strategies, timing, and enhancements to medically tailored food delivery will address structural inequities in the food environment, empower communities to sustain behavior change, and ultimately improve postpartum weight control to prevent chronic hypertension-a potent contributor to disparate mortality among Black women. - To conduct a pilot randomized control trial to test the feasibility, acceptability, and effectiveness of a multi-component Medically Tailored Food (MTF) intervention, MFeast ENHANCED (a hybrid MTF intervention with a patient-activated change from prepared meals to fresh food delivery, customized for postpartum people, culturally customized for engagement and adherence, and food provision for dependents) versus MFeast Usual Care (prepared medically tailored foods only). - To test sustainability and scalability. Participants will: - Respond to online surveys (supported by study team members via scheduled phone calls) via REDCap links shared before each study visit at baseline, 3 and 6 months post-delivery after the baseline survey. - Submit anthropometric data (e.g. weight and blood pressure)
PALETTE is a perpetual adaptive platform to efficiently study sepsis interventions within 'treatable traits' in all-ages patients enabling prompt evaluation of pandemic treatments. Treatable traits, therapeutic targets identified by phenotypes or endotypes (defined by biological mechanism or by treatment response) through validated biomarkers (measurable characteristic reflecting normal or pathogenic processes, or treatment responses), may include multi-omics, cellular, immune, metabolic, endocrine features, or intelligent algorithms. PALETTE Bayesian adaptive design enables parallel investigations of multiple interventions for sepsis, and quick inclusion of pandemic pathogens. PALETTE's new conceptual model will respond to the challenges of standard approaches, i.e. series of sepsis trials, each investigating one or two interventions, expensive, time consuming, and inappropriate in pandemic context.
In order to evaluate the diagnostic and prognostic value of thrombin-antithrombin complex（TAT）, α2-plasmin inhibitor-plasmin complex（PIC）, tissue plasminogen activator-inhibitor complex（tPAI·C） and thrombomodulin（TM） in sepsis-induced coagulopathy(SIC), hospitalized patients with sepsis were prospectively included. Plasma TAT, PIC, tPAI·C,TM levels within 24 h after sepsis diagnosis were detected by MCL60 chemiluminescence analyzer. According to the SIC score (≥4), they were divided into SIC group and non-SIC group, and ROC curve analysis was performed according to the biomarker test results.
Preterm infants are born at less than 37 weeks of pregnancy. Sometimes a break or tear in the fluid filled bag that surrounds and protects the infant during pregnancy leads to an untimely birth. This state puts the infant at risk of serious condition called sepsis. Sepsis is a condition in which body responds inappropriately to an infection. Sepsis may progress to septic shock which can result in the loss of life. Doctors give antibiotics to treat sepsis. The goal of this research study is to find out: 1. Among neonates at risk of early-onset neonatal sepsis, whether a policy of administering antibiotics selectively to a subset of at-risk infants who later develop signs of sepsis is not inferior to administering antibiotics to all at-risk infants in the 1st week of life. 2. To find out if infants receiving selective antibiotics (as above) compared to those receiving antibiotics from birth (as above) require fewer antibiotic courses of 48 hours duration or more in the 1st week of life. 3. To find out whether infants receiving selective antibiotics (as above) compared to those receiving antibiotics from birth (as above) are significantly different with respect to a wide range of secondary outcomes (listed under "Outcomes").
The goal of this clinical trial is to compare the safety and efficacy of nafamostat mesylate (NM) and unfractionated heparin (UFH) in the process of renal replacement therapy (RRT) for patients suffering from sepsis associated acute kidney injury (SA-AKI). The main questions it aims to answer are: The impact of NM and UFH on platelet count in septic patients undergoing RRT treatment. The satisfaction with anticoagulation of NM and UFH in septic patients undergoing RRT treatment. The 28-day all-cause mortality rate of septic patients undergoing RRT treatment with NM and UFH. Researchers will use NM or UFH as anticoagulation during RRT in SA-AKI patients, assessing effects on platelet count, anticoagulation satisfaction, and mortality. Participants will receive NM or UFH as anticoagulation during RRT for a minimum of 7 days. Bleeding symptoms, platelet count and coagulation function will be monitored daily. Platelet changes during the 7-day treatment period and survival status at 28 days post-treatment will be recorded.
Patients with intracerebral hemorrhage (ICH) in the intensive care unit (ICU) are at heightened risk of developing sepsis, significantly increasing mortality and healthcare burden. Currently, there is a lack of effective tools for the early prediction of sepsis in ICH patients within the ICU. This study aims to develop a reliable predictive model using machine learning techniques to assist clinicians in the early identification of patients at high risk and to facilitate timely intervention. The Medical Information Mart for Intensive Care (MIMIC) IV database (version 2.2) is an international online repository for critical care expertise. This database contains patient-related information collected from the ICUs of Beth Israel Deaconess Medical Center between 2008 and 2019. It includes a vast dataset of 299,712 hospital admissions and 73,181 intensive care unit patients. The eICU Collaborative Research Database (eICU-CRD) comprises data from over 200,000 ICU admissions for 139,367 unique patients across 208 US hospitals between 2014 and 2015, providing a valuable resource for critical care research. This study aims to establish and validate multiple machine learning models to predict the onset of sepsis in ICU patients with ICH and to identify the model with the optimal predictive performance.
Obesity has been shown to increase adverse outcomes in some critically ill patients e.g. those with COVID-19. For patients with sepsis this association is less clear cut but there is evidence that body fat distribution, resulting from impaired subcutaneous adipose tissue function, is associated with adverse clinical outcomes in critical care. The investigators aim to study subcutaneous adipose tissue function in lean and obese sepsis patients in critical care and compare that to healthy controls. First, the study will investigate differences in adipose tissue function (inflammation and mitochondrial function) related to obesity. Second, the investigators will examine whether lean critically ill patients with sepsis have enhanced adipose tissue inflammation and mitochondrial dysfunction compared to lean controls and whether this is further exacerbated by obesity. Patients will be either undergoing emergency abdominal surgery, or will have been admitted to a critical care unit with a diagnosis of sepsis. The investigators will collect blood and adipose tissue biopsies from the patients, and these will be analysed for markers of inflammation and of mitochondrial function. The aim is to better understand the relationship between obesity, inflammation, mitochondrial dysfunction and sepsis. The investigators hope that this may improve the understanding of the pathophysiology of sepsis and allow more targeted interventions for patients based on differences in their baseline metabolic state.