View clinical trials related to Sepsis.
Filter by:PHAGEFORCE is a prospective, observational registry study. The University Hospitals Leuven has approved the application of phage therapy as standard-of-care only in patients for whom no curative treatment alternatives (antibiotic and/or surgical) are available ('last-resort cases'). A multidisciplinary phage task force, referred to as the Coordination group for Bacteriophage therapy Leuven (CBL) was set up. The CBL screens patients with difficult-to-treat infections, evaluates who could benefit from phage therapy and sets up the treatment protocol. With this study, the CBL aims to gain insight in the safety and efficacy of phage therapy by integrating and optimizing phage therapy in five distinct medical disciplines (with distinct routes of administration), facilitating long-term follow-up of patients. Furthermore, this study will gain insight in the biodistribution and exact mechanisms of action of phage therapy and thus be able to provide standardized guidelines for each patient population and route of administration.
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).
The aim of this multicenter randomized clinical trial is to compare the tunneling technique of PICC insertion with the non-tunneled insertion technique in the incidence of the combined or isolated outcome of catheter-related bloodstream primary infection, thrombosis, obstruction, and accidental dislodgement in the adult population within a period of up to 30 days.
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.
Sepsis is defined as a dysregulated host response to infection . Despite ongoing efforts, both the incidence and mortality of sepsis have demonstrated limited reductions over the past years,There are several biomarkers that have already been studied for the early diagnosis of sepsis. Some of these markers can be used in risk prediction and monitoring the outcome of sepsis . Some of these markers as procalcitonin and CD14, are costly and not feasible options for low- and middle-income countries . While other biomarkers are feasible and accessible to be evaluated as Triglyceride\glucose index (TyG) , Relative Distributive Width of red blood corpuscles to albumin ratio (RAR), C-reactive protein,Neutrophile \Lympocyte ratio and serum lactate levels .
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.
Extracorporeal membrane oxygenation (ECMO) is a form of cardiopulmonary life-support for critically ill patients where blood is extracted from the vascular system and circulated by a mechanical pump while it is oxygenated and reinfused into the patient's circulation. It is well known that critically ill patients may experience alterations in antibiotic pharmacokinetics, and as a result, dosing modifications are generally required. There is a need to understand how ECMO circuits affect the pharmacokinetics and disposition of drugs. This study is designed to assess the pharmacokinetics of the new broad-spectrum echinocandin, Rezafungin, in critically ill patients receiving ECMO
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.