View clinical trials related to Toxemia.
Filter by: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.
In this prospective observational study, patients hospitalized in mixed intensive care unit, aged between 18 and 80, and diagnosed with sepsis and septic shock according to sepsis-3 criteria will be included. To determine whether patients develop AKI during the first five days of ICU admission, creatinine and urine output will be monitored daily for the first five days of ICU admission according to KDIGO criteria. Clinical diagnosis and treatment of AKI will be made according to KDIGO. According to KDIGO, patients will be divided into two groups: those who develop AKI and those who do not. By comparing plasma NGAL and VEXUS scores between groups, the sensitivity and specificity of the VEXUS score in determining AKI will be determined.
Thyroid and cortisol hormone response to sepsis
The objective of this research project is to conduct a single-site pilot trial to assess the feasibility and effect of low-dose aspirin to augment vascular recovery in the immediate postpartum period after preeclampsia through two specific aims: 1) to pilot test the feasibility of conducting a randomized controlled trial of postpartum low dose aspirin vs. placebo, and 2) to assess the effect of postpartum aspirin on endothelial function and blood pressure. Our central hypothesis is that postpartum administration of low-dose aspirin following preeclampsia will be feasible, improve endothelial function, and lower BP at 6 months postpartum. Subjects will undergo 3 study visits involving BP measurements, blood draws, questionnaires, and/or microiontophoresis. Up to 60 adult subjects will be enrolled at Magee-Women's Hospital.
The goal of this study is to create a computer simulation of patients with bloodstream infection to understand how changes in healthcare policies and resources affect patient treatment. This simulation will help doctors and health-care decision makers make better choices in treating these patients and avoid overusing antibiotics that can lead to antibiotic resistance. Antibiotic resistance is when bacteria can't be killed by antibiotics anymore. Participants will not receive treatments as this is an observational study, but the study will involve: - Interviews with healthcare staff to understand patient care pathways. - Analysis of historical data on bacteria causing infections and antibiotic treatments. - A 30-day observational study to observe patient treatment for bloodstream infections.