View clinical trials related to Toxemia.
Filter by: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.
This is an observational study in which data already collected from people with sepsis (blood poisoning) and/or disseminated intravascular coagulation (DIC) are studied. In observational studies, only observations are made without participants receiving any advice or changes to their healthcare. DIC is a serious blood disorder that can cause clots throughout the body, blocking blood vessels. People who have sepsis or cancer are at a higher risk of developing DIC. To find a treatment that works well for people with DIC associated with sepsis, it is important to know about its occurrence, treatments people receive, and their outcomes. Japan is the only country that has officially approved medicines for DIC including a few newer medicines that prevent extensive blood clotting. In this study, researchers will assess patient data from a hospital database in Japan. The main purpose of this study is to learn more about how many adults develop DIC related to sepsis, thrombocytopenic sepsis (sudden decrease in the number of platelets in the blood), or septic shock (dangerously low blood pressure) in Japan every year. To learn about this, researchers will collect the following information: - The number of participants who developed DIC 14 days, 21 days and 28 days after their sepsis diagnosis - The grading scores given to the participants which are used to assess the likelihood, cause, severity, treatment plan, and outcome of DIC (including scores called JAAM, ISTH, MHLW, and/or SOFA scores) - The number of days between diagnosis of sepsis and the beginning of DIC Researchers will study the data collected between June 2018 and June 2023. The data will come from TXP Medical, which collects data through the hospital health information system of 7 selected hospitals for this study across Japan. In this study, only available data from routine care are collected.
The study aims to map the health-related quality of life (HRQoL) after intensive care for Sepsis with the hypothesis that it will be lower than that in the general population. The investigators also want to identify factors that are associated with low HRQoL, to see if those are available for interventions from the health care system and society to improve quality of life after treatment for sepsis in the intensive care unit (ICU).
Emerging data connect diet, the gut microbiota and its metabolites in cardiometabolic disease. Hypertensive disorders of pregnancy (HDP) are common and are a leading cause of maternal and neonatal morbidity. HDP likely share similar pathophysiology as cardiometabolic disease in non-pregnant people with a yet unrevealed role of diet and the gut microbiota, including systemic inflammation and endothelial dysfunction. Despite high biological plausibility that nutrition, the gut microbiota and its metabolites may play a role in health and disease in pregnancy, there is a paucity of data regarding these associations, thus limiting advancement of the field. Similar to the proposed pathogenesis for diet, gut microbiota and the microbial metabolite trimethylamine-N-oxide (TMAO) in cardiovascular disease, we hypothesize that the interplay between maternal diet, the gut microbiota and its associated microbial metabolites play a mechanistic role in HDP. We propose to test this hypothesis in a racially-diverse US cohort to determine association with adverse pregnancy outcomes, specifically future development of HDP. We propose to prospectively collect plasma and urine TMAO throughout pregnancy from a cohort of 200 pregnant participants. Through 1) characterizing plasma and urine TMAO levels across each trimester of pregnancy, and 2) assessment of this microbial metabolite as a predictor of development of HDP, we have the potential to identify a biomarker that would allow us to identify people at risk of HDP early in pregnancy and provide new opportunities for therapeutic interventions to improve maternal and neonatal outcomes.
Sepsis and septic shock are among main causes of death in patients with severe Covid-19 pneumonia. A few factors are proven to predict sepsis in these patients. WIth near infrared spectroscopy it is possible to detect microcirculatory changes typical for sepsis early in the course of disease. The hypothesis that changes in tissue oxygene saturation during vasoocclusive test predict sepsis as well as mortality in mechancally ventilated patients withe severe Covid-19 pneumonia will be tested.
The average age of patients with sepsis has increased in recent years in parallel with the incidence of sepsis. Many of these patients are frail and require various medications for the treatment of their chronic diseases. Common treatments, including e.g. sarcopenic drugs (statins, sulphonylureas, methyglinides), antioxidants that prevent sarcopenia (allopurinol) or immunoregulators (corticosteroids) may influence the survival and functional prognosis of these patients. Knowing which drugs influence sepsis survival and to what degree patients who survive sepsis have functional deterioration and increased comorbidity and which modifiable factors limit this may be essential.
Researchers think acupuncture may improve outcomes for participants with sepsis, based on laboratory studies and previous studies in people with sepsis. The purpose of this study to see whether real acupuncture can improve outcomes for participants with sepsis when compared to sham acupuncture. Sham acupuncture is performed the same way as real acupuncture but will use different needles and target different sites or places on the body than real acupuncture.
This study aims to identify the prognostic role of procalcitonin (PCT), soluble Triggering Receptor Expressed on Myeloid Cells-1 (sTREM-1), the soluble form of the urokinase plasminogen activator receptor (suPAR), highly sensitive C-reactive protein (hs-CRP), Interleukin-6 (IL-6), and azurocidin 1 (AZU1) in 28-day mortality for patients with sepsis in Emergency Department.
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.
This study is conducted in critically ill children with sepsis with a five years follow-up. We aim to investigate the impact of sepsis on long-term outcomes including growth, neurodevelopment, survival rate, quality of life.