Active clinical trials for "Sepsis"

Lipids and lipoproteins (cholesterol and lipid metabolites) are present in sepsis and are highly biologically active regulators of inflammation, but currently the changes in lipid and lipoprotein homeostasis during sepsis are not well understood. This project will investigate the changes in lipid and lipoprotein function, oxidation, metabolites, and changes in gene expression to further our understanding of dysregulated lipid and lipoprotein metabolism in sepsis. We will analyze a bank of samples and make associations with important clinical outcomes (early death, chronic critical illness and sepsis recidivism) as supported by our published work, and will confirm our findings in a small prospective cohort of sepsis patients.

This study will analyze gene expression and other laboratory data from biological samples collected from participants with suspected respiratory, urinary, intra-abdominal, and/or skin & soft tissue infections; or suspected sepsis of any cause.

In this research study we want to learn more about the character of neutrophils that are present in the blood of children with sepsis. Sepsis is a severe type of infection, affecting various parts of the body. Neutrophils are a type of white blood cell that are part of the body's immune system. Even though neutrophils are important in getting rid of germs, they also may be harmful to parts of the body by causing injury in organs in patients with sepsis. Neutrophils can change their character in sepsis. Because of this, it is important for doctors to know what kind of neutrophils are in the blood of children with sepsis so that they can work to develop therapies to prevent these cells from being harmful.

Investigation of the feasibility of using near-infrared spectroscopy (NIRS) to monitor microvascular function in critically ill patients.

This study was a single-center, open clinical study in Chinese septic patients with or without acute kidney injury. The aims of this study were to obtain the blood concentration and pharmacokinetic parameters of meropenem and piperacillin, exosome information and endogenous biomarker, and to explore the functional changes of OATs under the condition of sepsis and acute kidney injury.

Sepsis-induced cardiac dysfunction (SIMD) is a well-known phenomenon yet its diagnosis remains elusive with no accepted definition, or defining pathophysiological mechanism associated with this disease. Systolic dysfunction occurs in 20-70% of patients, and may be severe, yet does not appear to have any prognostic value for mortality. Diastolic function has also been variably described and seems to be related to short-term mortality. However, the contribution of left ventricular systolic and diastolic dysfunction to mortality in sepsis are still far from clear, with uncertain contribution from previous cardiovascular disease, vasopressor and inotropic drugs and mechanical ventilation. Another poorly investigated area is right ventricular dysfunction. Cor pulmonale occurs in up to 25% of patients with septic shock, and is invariably related to pulmonary haemodynamics and mechanical ventilation, yet very little is known about how this affects prognosis. Finally, although the outcome of disease is a function of multiple parameters, septic cardiomyopathy is most frequently characterized based on individual echocardiographic parameters, without considering their interactions or placing them in the context of biomarkers and clinically available haemodynamic data. Available relevant studies are often monocentric, and many fail to consider the various confounders that influence the clinical outcome in sepsis. Therefore, the diagnostic and prognostic value of combinations of clinical, biochemical and haemodynamic variables remains to be established. Accordingly, the purpose of this study is to identify biomarkers and echocardiographic and haemodynamic signatures characteristic of specific outcomes in SIMD to support the diagnosis and prognosis in SIMD. Specific aims are: To determine the association between left ventricular systolic and diastolic dysfunction, and adverse outcome in SIMD; To determine the association between right ventricular systolic and diastolic dysfunction, and adverse outcome in SIMD; To determine the association between novel biomarkers and adverse outcome in SIMD; To determine the combined value of biomarker, echocardiographic, and haemodynamic variables for predicting adverse outcomes in SIMD; To explore if there are different phenotypes of SIMD using unsupervised machine learning algorithms, and whether they are associated with adverse outcomes. 50 patients will be enrolled in a feasibility study to evaluate the logistical setup for acute echocardiography and biobanking facilities. A further 300 patients will be enrolled with inclusion from peripheral centers once feasibility is confirmed.

This multi-center observational case-control study in Intensive Care Unit (ICU) patients is to identify novel biomarkers allowing to recognize severe community acquired pneumonia (sCAP) -associated sepsis at an earlier stage and predict sepsis-related mortality. Patients with sCAP (cases) will be profoundly characterized over time regarding the development of sepsis and compared with control patients. The mechanisms and influencing factors on the clinical course will be explored with most modern -omics technologies allowing a detailed characterisation. These data will be analysed using machine learning algorithms and multi-dimensional mathematical models.

The FloPatch device will be applied to 150 septic patients in the emergency department before they receive fluid resuscitation. This study will assess whether initial FloPatch measured volume-responsiveness and volume of fluids used will predict a composite outcome of mortality, intensive care unit admission, or rapid response team activation. The development of fluid unresponsiveness throughout the initial fluid resuscitation will be assessed and its association with the composite outcome will be assessed.

This study aims to integrate multi-omics data and clinical indicators to reveal pathogen-specific molecular patterns in patients with sepsis and establish prognostic prediction models through multiple machine learning algorithms.

The intensive care units is of the main components of modern healthcare systems. Formally, its aim is to offer the critically ill health care fit to their needs; ensuring that this health care is appropriate, sustainable, ethical and respectful of their autonomy. Intensive medicine is a cross-sectional specialty that encompasses a broad spectrum of pathologies in their most severe condition, and specifically has as its foundation the practice of comprehensive care of the patient with organ dysfunction and susceptible to recovery. Although critically ill patients are a heterogeneous population, they have in common the need for a high level of care, often requiring the use of high technology, specific procedures for the support of organ dysfunction and the collaboration of other medical and surgical specialties for their management and treatment. Since their origins in the late 1950s, intensive care units have been adapting to the changes arising from the best scientific evidence. In the late 1990s and early 2000s, there were some successful clinical trials published that had tested alternative management strategies in the ICU. Mechanical ventilation is an intervention that defines the critical care specialty. Between 1970 and the 1990s, the management focused on normalizing arterial blood gas with aggressive mechanical ventilation. Over the ensuing decades, it became apparent that performing positive pressure ventilation worsened lung injury. The pivotal moment in the mechanical ventilation story would be the low versus high tidal volume trial. This trial shifted the focus away from normalizing gas exchange to reducing harm with mechanical ventilation. Further, it paved way for further trials testing ventilation interventions (PEEP strategy, prone position ventilation) and nonventilation interventions (neuromuscular blockade, corticosteroids, inhaled nitric oxide, extracorporeal gas exchange) in critically ill patients. That evidence-based intensive care medicine has undoubtedly had an influence on the outcome of critically ill patients, in general, and, particularly, of patients requiring mechanical ventilation. Temporal changes in mortality over the time have been scarcely reported for patients admitted to intensive care unit. Objective of this study is to estimate the changes over the time in several outcomes in the patients admitted to an 18-beds medical-surgical intensive care unit from 1991 (year of start of activity) to 2026