View clinical trials related to Toxemia.
Filter by:Although antibody-drug conjugate(ADC) has proved effective in treating many cancers, few patients receiving ADC may experience rare but life-threatening sepsis-related toxicities such as sepsis and septic shock. Today, data about sepsis/septic shock are scarce. The objective was to investigate reports of sepsis/septic shock adverse events related to ADC, including Gemtuzumab Ozogamicin, Trastuzumab Emtansine, Inotuzumab Ozogamicin, Enfortumab vedotin, Trastuzumab deruxtecan, Sacituzumab govitecan, Brentuximab Vedotin, Moxetumomab pasudotox, Polatuzumab Vedotin, Belantamab Mafodotin, loncastuximab tesirine and Tisotumab vedotin using international pharmacovigilance databases such as the FDA Adverse Event Reporting System (FAERS).
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.
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.
Investigators predict that the information that can be obtained in terms of renal functions before clinical development in sepsis patients can be valuable in terms of guiding treatment algorithms, planning renal replacement therapies and using drugs that are toxic to the kidneys.
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.
This protocol will collect real-world data retrospectively from the electronic health record (EHR) as data obtained from the delivery of routine medical care to develop a machine learning (ML)-based Clinical Decision Support (CDS) system for severe sepsis prediction and detection.
This project will evaluate the usefulness of Monocyte Distribution Width (MDW) for the diagnosis of blood culture positivity (BSI) in patients in the Emergency Department (ED) and reevaluate the usefulness of MDW in patients with BSI and sepsis. Consequently, if MDW indicate a high likelihood of bacteremia antibiotic management in patients with suspected bacterial infections will be changed and aid appropriate antibiotic administration.
Sepsis is a leading cause of morbidity and mortality in intensive care units. Sepsis is a life-threatening organ dysfunction linked to a dysregulated host response to infection. It leads to overwhelming of systemic inflammation causing release of proinflammatory cytokines, which trigger overproduction of reactive oxygen species. Several animal studies with sepsis proved the effectiveness of montelukast and coenzyme Q10 as anti-inflammatory and antioxidants in preventing end organ damage, deterioration, and reducing mortality. Therefore, a clinical trial will be carried out to compare the efficacy and safety of montelukast versus co enzyme Q10 on the clinical outcome in patients with sepsis.