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Active clinical trials for "Sepsis"

Results 241-250 of 1417

The Early Prediction of Sepsis in ICU

Prediction of Sepsis in Critical Patients

Sepsis is a vital issue in critical care medicine, and early detection and intervention are key to survival. We aimed to establish an early warning system for sepsis based on a data integration platform that can be implemented in the ICU.

Recruiting9 enrollment criteria

HostDx Sepsis in the Diagnosis and Prognosis of Emergency Department Patients With Suspected Infections...

Respiratory Tract InfectionsUrinary Tract Infections4 more

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.

Recruiting14 enrollment criteria

Neutrophil Phenotypic Profiling and Organ Injury Assessment in Patients With Sepsis

Sepsis

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.

Recruiting6 enrollment criteria

Microvascular Monitoring in Circulatory Shock and Sepsis (MiMICSS)

SepsisShock1 more

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

Recruiting10 enrollment criteria

Molecular Biomarkers for Sepsis

SepsisSevere Community-acquired Pneumonia (sCAP)2 more

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.

Recruiting14 enrollment criteria

Point of Care Ultrasound to Predict Intensive Care Unit Admission of Patients Presenting With Sepsis...

Sepsis

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.

Recruiting10 enrollment criteria

Analysis of the Evolution of Mortality in an Intensive Care Unit

Intensive Care UnitMortality6 more

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

Recruiting2 enrollment criteria

Sepsis in the ICU-II

Septic ShockSepsis3 more

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.

Recruiting3 enrollment criteria

Dysfunctional Myelopoiesis and Myeloid-Derived Suppressor Cells in Sepsis

SepsisTrauma Injury

Adverse outcomes in surgical sepsis patients are secondary to dysregulated emergency myelopoiesis, and expansion of myeloid-derived suppressor cells. Here we propose to determine the underlying mechanisms behind the increased expansion of these leukocyte populations and the underlying mechanisms that drive inflammation and immune suppression.

Recruiting25 enrollment criteria

Symphony IL-6 Cutoff Validation Study for Patients at Risk of Severe Sepsis

Severe Sepsis

Symphony IL-6 is a device that quantitates human IL-6 by fluorescence enzyme immunoassay (FEIA) from whole-blood specimens. Use of Symphony IL- 6 removes the need for plasma separation before testing. Symphony IL-6 comprises two components, the Symphony Fluorescence Immunoanalyzer and the Symphony IL-6 Cartridge. Whole blood is added to the cartridge and then up to six cartridges can be inserted into the immunoanalyzer. After 20 minutes a readout and printout are given with a quantitative IL-6 concentration. The used cartridges are fully enclosed and can be easily disposed of in general hospital bio-waste. Given the nature of this device and its portability, there is potential for future deployment as a point-of-care (POC) device. This study is to validate an interleukin-6 (IL-6) cutoff value using the Symphony IL-6 test for patients at high risk of severe sepsis caused by a COVID-19 infection

Recruiting15 enrollment criteria
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