Active clinical trials for "Sepsis"

septic shock is the first cause of mortality in intensive care unit. Innate immunity is the body's first line of defense against pathogens

Background Sepsis still the main challenge of ICU patients, because of its high morbidity and mortality. The proportion of sepsis, severe sepsis, and septic shock in china were 3.10%, 43.6%, and 53.3% with a 2.78%, 17.69%, and 51.94%, of 90-day mortality, respectively. Besides, according to the latest definition of sepsis- "a life-threatening organ dysfunction caused by a dysregulated host response to infection. ", it is a disease with intrinsic heterogeneity. Sepsis as a syndrome with such great heterogeneity, there will be significant differences in the severity of sepsis. As a result, there will be significant differences in the treatment and monitoring intensity required by patients with severe sepsis and mild sepsis. No matter from the economic perspective or from the risk of treatment, a proper level of treatment will be the best chose of patient. However, the evaluation of the sepsis severity was not satisfied. Such of SOFA, the AUC of predict patients' mortality was only 69%. Weather these patients occurred multiple organ dysfunction syndrome (MODS) may had totally different outcome and needed totally different treatment. All these treatments need early interference, in order to achieve a good prognosis. Hence, early recognition of MODS caused by sepsis became an imperious demand. Study design On the base of regional critical medicine clinical information platform, a multi-center, sepsis big data platform (including clinical information database and biological sample database) and a long-term follow-up database will be established. Thereafter, an early identification, risk classification and dynamic early warning system of sepsis induced MODS will be established. This system was based on the real-time dynamic vital signs and clinical information, combined with biomarker and multi-omics information. And this system was evaluated sepsis patients via artificial intelligence, machine learning, bioinformatics analysis techniques. Finally, optimize the early diagnosis of sepsis induced MODS, standardized the treatment strategy, reduce the morbidity and mortality of MODS through this system.

Pneumonia is a common infectious disease of the lung, often requiring treatment in the hospital. Clinical scoring systems are available, identifying patients not requiring hospitalization. However, the course of disease of patients in the hospital remains hard to predict. While most patients will recover quickly, some will, despite appropriate treatment, develop a severe course leading to sepsis and systemic responses resulting in organ dysfunction. The PROGRESS consortium aims to identify clinical, genetic, and other molecular markers and combinations there of predicting a severe course of pneumonia in the hospital. Such predictors will, for instance, support decisions on earlier transfer of patients to intensive care and thus improving outcome. PROGRESS-COMORB aims to extend findings from the previous PROGRESS study to patients with more severe preexisting conditions and immunosuppression.

In the REMISE is study, we will compare blood proteins, biomarkers, and other -omics prospectively collected from patients with sepsis from two sources, i.) remnant (discarded) samples from the clinical laboratory, and ii.) prospectively collected in UPMC Presbyterian hospital research coordinator specimen collected biospecimens. Analyses will include traditional biomarkers, quantitative proteomics, metabolomics, lipidomics, transcriptomics, and pathogen genomic sequencing in both sets of samples. This data will allow the assessment of the feasibility, integrity, and scientific value of remnant samples compared to research coordinator samples collected at the bedside for mechanistic sepsis research.

Sepsis is a life-threatening condition, caused by a systemic infection. It is particularly dangerous in already fragile populations and needs to be identified quickly to be treated as fast as possible, as discussed during the 2016 sepsis consensus and highlighted by the 2021 Surviving Sepsis Campaign. Yet, while there are scores to quickly identify patients who are at an increased risk of mortality (namely quick-SOFA, q-SOFA), these scores are also highly unspecific and cannot guarantee an adequate risk stratification. Therefore, it would be extremely valuable to further stratify mortality risk in patients who present to the emergency medical evaluation, especially those who present with stable hemodynamics but are at increased risk of decompensation during hospital stay. Furthermore, in the emergency room, it is sometimes impossible to re-evaluate patients regularly, thus, it would be important to immediately identify high-risk patients. Unfortunately, at the moment, there is no consensus. Through this study, the investigators will try to identify ultrasound parameters and biochemical markers which can be obtained during the first visit in the emergency room (ER) and that allow a quick risk stratification of patients with sepsis. The rationale of this study is to improve early identification of septic patients who are at risk of rapid deterioration in the course of their permanence in the ER and the hospital wards in general. The investigators selected a number of clinical, laboratory and bedside ultrasound parameters which have been previously shown to be correlated with mortality in sepsis, and will seek to identify which among these parameters best correlates with prognosis when acquired in the very first minutes of a patient's arrival in the ER. The objective would be to analyse these parameters and eventually to propose a new early sepsis score which might help the emergency physician to better tailor its efforts and clinical resources to the most sick patients.

Patients with bloodstream infections (sepsis) have been found in prior studies to have infection-related heart dysfunction, even if they did not have preexisting heart problems. Factors related to the infection may cause the heart to not pump as well as it should, causing critical illness in the form of low blood pressure (shock) and heart failure. Ultrasound is frequently used in the emergency department to evaluate why a patient might have low blood pressure. Part of that evaluation may include obtaining ultrasound images and making measurements about how well or poorly the heart is pumping. The investigators will evaluate a certain measurement that relates to cardiac function, determine how it changes in patients before and after they are treated for septic shock. This will involve placing an ultrasound probe on the patient's chest, measuring the upward and downward movement of the mitral valve, the mitral annulus systolic plane excursion (MAPSE), and comparing the measurements before and after treatment is started. The investigators are attempting to determine if this measurement improves before and after treatment.

The goal of this observational study is to better understand what happens to circulating blood after a patient experiences severe trauma injury. The main questions it aims to answer are: Is severe human trauma associated with specific patterns of development in the hematopoietic stem cells of these patients? and Does the initial severe trauma injury create immunosuppression and increase risk of in-hospital sepsis? Participants in study will give blood samples and a waste sample of bone marrow at time of operative repair of traumatic orthopedic injuries, supply medical information and participate in surveys and assessments during recovery from their injury(ies). Researchers will compare severe trauma injury patients to elective hip repair patients to see if immunosuppression and specific development patterns occur in the trauma patient versus the otherwise healthy hip surgery patient.

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 in a near patient setting. This study is to establish 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 and/or influenza infection.

A comprehensive strategy will be used to investigate the relationship and correlation between 4 diagnostically significant markers relevant for early diagnosis and prediction of complications and death in the development of sepsis in children (C-reactive protein, procalcitonin, presepsin and lipopolysaccharide binding protein). For the first time, an attempt will be made to assess the genetic characteristics of the patient's from the point of view of predisposition to the unfavorable development of the sepsis based on the study of polymorphism of a number of genes of the immune system (tumor necrosis factor beta; interleukin 6, 8, 10; lymphotoxin alpha, etc.). Based on the study results, an algorithm to predict the unfavorable course of sepsis in children will be developed using a comprehensive assessment of biochemical and molecular genetic markers.

Sepsis is responsible for one in three patient deaths. Understanding the severity of the disease, directing medications, prognosticating, and communicating with family members depend on the ability to predict outcomes in a patient presenting with sepsis in the ICU. The outcome of mortality reflects the caliber of ICU treatment. This is a prospective observational study that will include all patients diagnosed with sepsis for point-of-care ultrasonography within 24 hours of admission to the ICU from April 26, 2023, to March 30, 2024, and create a model that will predict 28 day outcome in these patients.