View clinical trials related to Sepsis.
Filter by:Fluid-unresponsive hypotension needing cardiotropic drug treatment is a serious complication in very preterm neonates with suspected late-onset sepsis (LOS; defined as culture positive or negative bloodstream infection or necrotizing enterocolitis occurring >48 hours of age). In Canada, ~250 very preterm neonates receive cardiotropic drugs for LOS related fluid-unresponsive hypotension every year; of these ~35-40% die. Unlike for adult patients, there is little evidence to inform practice. While several medications are used by clinicians, the most frequently used medications are Dopamine (DA) and Norepinephrine (NE). However, their relative impact on patient outcomes and safety is not known resulting in significant uncertainty and inter- and intra-unit variability in practice. Conducting large randomized trials in this subpopulation can be operationally challenging and expensive. Comparative effectiveness research (CER), is a feasible alternative which can generate high-quality real-world evidence using real-world data, by comparing the impact of different clinical practices. Aim: To conduct an international CER study, using a pragmatic clinical trial design, in conjunction with the existing infrastructure of the Canadian Neonatal Network to identify the optimal management of hypotension in very preterm neonates with suspected LOS. Objective: To compare the relative effectiveness and safety of pharmacologically equivalent dosages of DA versus NE for primary pharmacotherapy for fluid-unresponsive hypotension in preterm infants born ≤ 32 weeks gestational age with suspected LOS. Hypothesis: Primary treatment with NE will be associated with a lower mortality Methods: This CER project will compare management approach at the unit-level allowing inclusion of all eligible patients admitted during the study period. 15 centers in Canada, 4 centers in Ireland, 2 centers in Israel and 6 centers in the United States have agreed to standardize their practice. All eligible patients deemed circulatory insufficient will receive fluid therapy (minimum 10-20 cc/kg). If hypotension remains unresolved: Dopamine Units: start at 5mics/kg/min, increase every 16-30 minutes by 5 mics/kg/min to a maximum dose of 15 mics/kg/min or adequate response Norepinephrine Units: start at 0.05 mics/kg/min, increase every 16-30 minutes by 0.05 mics/kg/min to maximum dose of 0.15/mics/kg/min or adequate response
Sepsis is a life-threatening condition that arises when a dysregulated response to infection results in multi-organ dysfunction or failure. This can affect any organ, resulting in a diverse clinical presentation. Sepsis affects more than 3.4 million Europeans a year with 700,000 deaths from the condition and an additional one third of survivors dying through complications in the year following a sepsis event. To date, biomarkers that are used to predict bacterial infection (such as CRP or lactate) are used in combination and with other clinical symptoms due to the fact that they are non-specific for sepsis. The use of such biomarkers frequently varies between hospitals or even physicians. Biomarkers such as procalcitonin (PCT) have been reported as useful for differentiating between infectious and non-infectious causes of systemic inflammatory response syndrome. Yet calibration of PCT assays is problematic due to the absence of higher order method or international standard. External quality assessment (EQA) programs have highlighted poor comparability. This protocol is part of the international SEPTIMET project. The Emergency Department (ED) of the Pitié-Salpêtrière hospital takes part of the project with specific objectives in order to establish a large cohort of patients at very early stage sepsis (defined by Systemic Inflammatory Response Syndrome -SIRS - due to bacterial infection or the first symptoms of sepsis before septic shock, patients consulting in the first hours of the history of the disease at the emergency department) with the idea of spotting the condition before it manifests as a more serious presentation. This will measure the clinical criteria and putative biomarkers as patients progress to more serious presentation. Moreover, an expected biobank of >200 samples will be generated to provide material for the Laboratoire National de Métrologie et d'essais (LNE) in charge of analytical studies.
Develop an emergency PanorOmics Wide Association Study (ePWAS) for the early, rapid biological and pathophysiological characterisation of known and novel Infectious Diseases in adult patients presenting to emergency departments with suspected, acute, community-acquired respiratory infectious disease (scaRID). Phase 1 1. Develop an ED-ID biobank (named ePWAS-RID). Phase 2 2. Targeted research for the discovery of novel diagnostics, prognostics and therapeutics
The overall objective of this proposed research is the derivation of a biomarker-enhanced artificial intelligence (AI)-based pediatric sepsis screening tool (PSCT) (software) that can be used in combination with the hospital's electronic health record (EHR) system to monitor and assess real-time emergency department (ED) electronic health record (EHR) data towards the enhancement of early pediatric sepsis recognition and the initiation of timely, aggressive personalized sepsis therapy known to improve patient outcomes. It is hypothesized that the screening performance (e.g., positive predictive value) of the envisioned screening tool will be significantly enhanced by the inclusion of a biomarker panel test results (PERSEVERE) that have been shown to be effective in prediction of clinical deterioration in non-critically ill immunocompromised pediatric patients evaluated for infection. It is also hypothesized that enhanced phenotypes can be derived by clustering PERSEVERE biomarkers combined with routinely collected EHR data towards improved personalized medicine.
Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection and is associated with high morbidity and mortality. Sepsis3 gives sepsis a broad definition, reflecting the heterogeneity of the disease. So we need a precise treatment with a stratification of patient prognosis in order to reduce mortality in patients with sepsis.
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.
Primary objective: - Our aim is to validate the "Shamir Resistance Calculator" in a prospective crossover trial, in order to shorten the time to initiation of appropriate antimicrobials among hospitalized septic patients. Secondary objectives: - To evaluate the impact of using the "Shamir Resistance Calculator" with regards to: - new acquisitions of multi-drug resistant organisms (MDRO) - the empiric usage of broad-spectrum agents (e.g., carbapenems, vancomycin) - acute Clostridiodes difficile infections - In-hospital mortality.
Sepsis, or systemic infection, is a common reason for ICU admission and death throughout the world. Despite advances in the way we treat this condition, it remains a significant economic and healthcare burden. A key part of the treatment of sepsis is the administration of IV fluids and blood pressure medication. However, there is huge uncertainty around dosing of these drugs in an individual patient. A tool to personalise these medications could improve patient survival. The study team has developed a new method to automatically and continuously review and recommend the correct medication doses to doctors, which was created using artificial intelligence (AI) techniques applied to large medical databases. The researchers' previous work has shown it has the potential to improve patient survival rates. The tool will be capable of processing patient data within the electronic patient record of NHS hospitals in real-time to suggest a course of action. This tool will be evaluated and refined in simulation studies and then be tested in two NHS Trusts in "shadow mode" (results not provided to duty clinicians). This will allow comparison of actual decisions made and recommended decisions from the AI system. The second stage of this clinical evaluation will display the recommendations to clinicians to assess the acceptability of the tool and confirm technical feasibility to inform future clinical trials. The long-term expected benefits of this project are numerous: improved patient survival, reduced use of precious intensive care resources and reduction in healthcare costs.
Newborns are at risk for early-onset sepsis (EOS), which occurs within 72 hours after birth. The incidence of proven EOS is 0.5-2.0 per 1000 live births. The annual birth rate in the Netherlands is around 170.000, consequently the number of EOS cases varies between 85 to 340. However, about 5%, thus 8500, of late preterm and term newborns receive empiric antibiotic therapy in compliance with the current Dutch guideline. An alternative is the CE certified EOS calculator application, which calculates an individual EOS risk with treatment advice. In this prospective cluster-randomized multicenter trial the current Dutch guideline will be compared with the EOS calculator in newborns at risk for EOS. The primary objectives of this study are: 1. To investigate whether the use of the EOS calculator reduces antibiotic exposure in newborns with suspected EOS in the first 24 hours after birth. 2. To investigate the presence of one or more of the following four predefined safety criteria, namely 1) the need for any respiratory support, and/or 2) the need for an intravascular fluid bolus for hemodynamic instability due to sepsis, and/or 3) referral to a Neonatal Intensive Care Unit for sepsis treatment, and/or 4) proven EOS. Secondary objectives of the study are: 1. To investigate if the use of the EOS calculator decreases the total duration of antibiotic therapy in newborns with suspected EOS. 2. To investigate if the use of the EOS calculator decreases the percentage of antibiotic therapy started for suspected and, or proven EOS if symptoms started between 24-72 hours after birth. 3. To study the impact of (suspected) EOS on parents/guardians.
The TRIPS study is a prospective, multi-center, double-blind, adaptively randomized, placebo-controlled clinical trial of the drug anakinra for reversal of moderate to severe hyperinflammation in children with sepsis-induced multiple organ dysfunction syndrome (MODS).