View clinical trials related to Toxemia.
Filter by:This study aims to evaluate the diagnostic and prognostic performance of a novel mRNA diagnostic/prognostic classifier (interprets the expression of 29 host response mRNA biomarkers) from whole blood in adult patients presenting to emergency departments (ED) with suspected infection.
This trial will evaluate the impact of an integrated intervention of daily maternal calcium, aspirin, and multiple micronutrients (CAMMS) compared to iron-folic acid (IFA) during pregnancy on preterm birth and other adverse birth outcomes. Both interventions will be delivered through existing antenatal service platforms using context-specific strategies informed by formative research incorporating human-centered design processes to achieve high acceptability and high adherence, in three low-income countries with diverse contexts: Burkina Faso, Pakistan, and Zimbabwe.
The majority of studies conducted on uremic toxins involve patients before end stage renal failure or dialysis patients. Only a few studies have focused on transplant patients. In addition, the relationship between serum concentrations of uremic toxins and immunosuppressive drug concentrations has never been studied to date. The investigator research hypothesis is that, due to the strong plasma protein binding of calcineurin inhibitors, an interaction with protein-bound uremic toxins could alter drug concentrations that explain difficulties in reaching therapeutic targets.
The purpose of this pilot study is to demonstrate the ability to warm critically ill patients with sepsis to a target temperature of 39°C
This study seeks to determine the the impact of COVID-19 on the incidence, characteristics, management and outcome of patients admitted to U.S. hospitals with non-COVID-19 related sepsis.
This feasibility study serves to determine if it is possible to perform a powered randomized control trial of high-dose intravenous vitamin C (ascorbic acid) as an adjunctive medication in the management of sepsis and septic shock in Rwanda. Further data will be collected including Sequential Organ Failure Assessment (SOFA) score, Universal Vital Assessment (UVA) score, duration of vasopressors, mortality and other key indicators to possibly determine the impact of vitamin C on organ failure and clinical course. A total of 24 patients with a diagnosis of sepsis or septic shock will be recruited after obtaining informed consent at the University Teaching Hospital of Kigali (CHUK) and will be randomized in a 1:1 fashion to receive drug or placebo. Both treatment arms will receive standard treatment (intravenous fluids, antibiotics, vasopressors as needed, etc.) in addition to study drug or placebo. During the course of the study, any difficulties encountered will be recorded and will inform process improvements for a full randomized control, if it is indeed considered possible to perform the definitive trial.
Platelets are important mediators of an inflammatory response and a key component of the innate immune system to defend the human body against invading pathogens. However, little evidence exists regarding the number of platelets that should be used als transfusion threshold in septic patients. In this trial platelet transfusion will be performed with either <50000/µl or <20000/µl as a trigger.
The focus of this study will be to conduct a prospective, multi-center randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a machine-learning algorithm will be applied to EHR data for the detection of sepsis. For patients determined to have a high risk of sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, in-hospital SIRS-based mortality.
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a Gram type infection-specific algorithm will be applied to EHR data for the detection of severe sepsis. For patients determined to have a high risk of severe sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, time to antibiotic administration. The secondary endpoint will be reduction in the administration of unnecessary antibiotics, which includes reductions in secondary antibiotics and reductions in total time on antibiotics.
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a subpopulation-optimized algorithm will be applied to EHR data for the detection of severe sepsis. For patients determined to have a high risk of severe sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, in-hospital SIRS-based mortality. The secondary endpoints will be in-hospital severe sepsis/shock-coded mortality, SIRS-based hospital length of stay, and severe sepsis/shock-coded hospital length of stay.