View clinical trials related to Sepsis.
Filter by:This phase 2 study aim to investigate the effect of dobutamine in patients with sepsis/ septic shock after fluid resuscitation and with hypoperfusion (lactate and central venous oxygen saturation or prolonged capillary refill time) on renal function as compared with usual care.
Sepsis is a severe response to infection resulting in organ dysfunction and often leading to death. More than 1.5 million people get sepsis every year in the U.S., and 270,000 Americans die from sepsis annually. Delays in the diagnosis of sepsis lead to increased mortality. Several clinical decision support algorithms exist for the early identification of sepsis. The research team will compare the performance of three sepsis prediction algorithms to identify the algorithm that is most accurate and clinically actionable. The algorithms will run in the background of the electronic health record (EHR) and the predictions will not be revealed to patients or clinical staff. In this current evaluation study, the algorithms will not affect any part of a patient's care. The algorithms will be deployed across the Emory healthcare system on data from all patients presenting to the emergency department.
The aim of this study is to find the utility of red cell distribution width and lactate/albumin ratio as prognostic markers in sepsis and septic shock patients.
The goal of this methodological, retrospective and prospective study is to; it is a tool to develop a risk estimator tool to detect risk gaps in individuals using artificial intelligence technology that is dangerous for those with CVC in adult intensive care patients, to test risk level estimation frameworks and to evaluate outcomes in the clinic. In our study, it is also our aim to protect, to present the security measures to prevent the risk of CVC with an artificial intelligence model, in an evidence-based way. The main question[s]it aims to answer are: - Can the risk of CVC-related infection be determined in adult intensive care patients using artificial intelligence? - To what degree of accuracy can the risk of CVC-associated infection be determined in adult intensive care patients using artificial intelligence? - What are the nursing practices that can reduce the risk of CVC-related infections? Methodology to develop an artificial intelligence-based CVC-associated infection risk level determination algorithm, retrospective using data from Electronic Health Records (EHR) patient data and manual patient files between January 2018 and December 2022 to create the algorithm and test the model accuracy, and the development stages of the model After the completion of the model, up-to-date data were collected for the use of the model and it was planned to be done prospectively.
Identify prevalence of sepsis in ICU of Assiut university hospital 2.Clarify different causes of sepsis in patients admitted to ICU . 3.Compare causes and outcomes of sepsis between diabetics versus non diabetics . 4.Screening for the co1.mmonest organism causing sepsis in critically ill patients .
This study proposes to assess the usability of the Neutrocheck device and test kit amongst healthy volunteers and healthcare professionals (HCPs). Neutrocheck is a portable, single-use diagnostic test intended to aid the diagnosis of neutropenia, febrile neutropenia and neutropenic sepsis using a finger prick blood sample. Neutropenia is when the number of infection-fighting neutrophil cells in the blood are lower than normal. It can be caused by treatments such as chemotherapy or by certain medical conditions. Neutropenic sepsis is a life-threatening medical emergency that occurs when patients with neutropenia develop an infection. There is currently no way to test for neutropenic sepsis outside of hospitals. Neutrocheck is being developed for use as a self-test by patients at home alongside remote consultation with a HCP or at point-of-care by a HCP. This will allow rapid identification of patients requiring urgent intravenous antibiotics and medical assessment. In cases where Neutrocheck has eliminated the possibility of neutropenic sepsis, patients can avoid unnecessary and stressful hospital visits and valuable hospital resources will be saved. Participants in this study will be invited to use the Neutrocheck test kit in a setting similar to a home environment to carry out a test, whilst being observed by a study moderator. The Neutrocheck devices used in the study will be for investigational use only. This study will not be testing the accuracy of the Neutrocheck result, rather if Neutrocheck can be used safely and in a user-friendly way. Results will not be considered valid. Planned study duration is 2 months. This approach will enable us to complete the current phase of development and advance to a clinical validation study of Neutrocheck, assessing the diagnostic accuracy of Neutrocheck amongst users including those at risk of neutropenia and neutropenic sepsis.
Sepsis is a dysregulated host response to infection resulting in organ dysfunction. Over the past three decades, more than 30 pharmacological therapies have been tested in >100 clinical trials and have failed to show consistent benefit in the overall population of patients with sepsis. The one-size-fits-all approach has not worked. This has resulted in a shift in research towards identifying sepsis subphenotypes through unsupervised learning. The ultimate objective is to identify sepsis subphenotypes with different responses to therapies, which could provide a path towards the precision medicine approach to sepsis. The investigators have previously discovered sepsis subphenotypes in retrospective data using trajectories of vital signs in the first 8 hours of hospitalization. The team aims to prospectively classify adult hospitalized patients into these subphenotypes in a prospective, observational study. This will be done through the implementation of an electronic health record integrated application that will use vital signs from hospitalized patients to classify the patients into one of four subphenotypes. This study will continue until 1,200 patients with infection are classified into the sepsis subphenotypes. The classification of the patients is only performed to validate the association of the subphenotypes with clinical outcomes as was shown in retrospective studies. Physicians and providers treating the patients will not see the classification, and the algorithm classifying the patients will in no way affect the care of the patients. Further, all the data needed for the algorithm (vital signs from the first 8 hours) are standard of care, and enrollment in the prospective study does not require any additional data.
Comparison of the effects of bolus, intermittent and continuous enteral feeding techniques on plasma glucose level and enteral feeding intolerance in adult intensive care unit patients with sepsis.
The goal of this randomized controlled study is to compare the outcome of preterm infants who will receive the standard antibiotic prophylaxis for EOS or Procalcitonin/Presepsin-guided antibiotic prophylaxis of early onset sepsis (EOS). The main question it aims to answer is: • Does Procalcitonin/Presepsin-guided antibiotic prophylaxis of (EOS) increase survival without major morbidities, including IVH >3 grade, PVL, ROP >3 grade in either eye, NEC >2 grade, BPD, or LOS. Infants with gestational age between 25+0 and 31+6 weeks of gestation or a birth weight <1500 g will be eligible for enrollment in the study. Participants will be randomized to receive standard antibiotic prophylaxis for EOS (standard group) or to receive antibiotic prophylaxis for EOS on the basis of PCT/P-SEP measured within 3 h of life (intervention group).
A challenge to intermittent vancomycin dosing in young infants is the avoidable delay caused by the need to wait until steady state (i.e. when the drug concentrations are in equilibrium) to measure a vancomycin concentration, as this generally occurs 24 to 48 hours after starting treatment. If the target concentration is not achieved, the dose needs to be adjusted, resulting in further delays in an infant achieving the concentration required to treat their infection. The purpose of this study is to assess the use of early therapeutic drug monitoring (first-dose trough) and, if needed, early dose adjustment, in achieving target vancomycin concentrations at steady state. A dose adjustment calculator (available through a web application) will be used to determine the need for dose adjustment (based on predicted steady state concentration) and recommend an adjusted dose if required.