View clinical trials related to Toxemia.
Filter by: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.
The assessment and treatment of Septic Shock (SS) is a thorny issue in current care. Fluid resuscitation is one of the key measures for SS treatment. Current fluid resuscitation is dominated by empirical treatment or early target-directed therapy. The former has a clear goal of recovery, and the latter is complicated to implement and has many complications. It is known that patients with SS due to insufficient tissue perfusion, the distribution of blood flow in the peripheral center to the center, may lead to an increase in the central-peripheral-room temperature difference, suggesting that this index has potential value for direction of fluid resuscitation. This study intends to measure the severity of SS and efficacy of fluid resuscitation by measuring the "central-peripheral-room temperature" gradient of patients as well as comparing temperature gradient with hemodynamic indexes (PICCO) and indexes of ultrasound capacity assessment, providing more convenient indicators for sepsis and fluid resuscitation assessment.
The aim of the current study is to demonstrate dysregulation of immune system΄s circadian rhythms as a consequence of sepsis, as well as marked malfunction of the central circadian clock in comparison with patients without sepsis , the presence of which burdens independently the final outcome and , hence, need to be addressed.
Initial sepsis treatment requires fluid challenge. While the Surviving Sepsis Campaign indicates a 30 ml/kg volume, there is concerns on the efficacy and safety of this fixed volume. The aim of this study is to assess the difference between fluid volume determined par cardiac and lung Ultrasound versus the fixed 30 ml/kg.
Machine learning is a powerful method to create clinical decision support (CDS) tools, when training labels reflect the desired alert behavior. In our Phase I work for this project, we developed HindSight, an encoding software that was designed to examine discharged patients' electronic health records (EHRs), identify clinicians' sepsis treatment decisions and patient outcomes, and pass those labeled outcomes and treatment decisions to an online algorithm for retraining of our machine-learning-based CDS tool for real-time sepsis alert notification, InSight. HindSight improved the performance of InSight sepsis alerts in retrospective work. In this study, we propose to assess the clinical utility of HindSight by conducting a multicenter prospective randomized controlled trial (RCT) for more accurate sepsis alerts.
The goal of the NANO trial is to study the longstanding clinical practice of empirically administering intravenous antibiotics to extremely low birthweight (ELBW) infants in the first days of life. In this 802-subject multicenter placebo-controlled randomized clinical trial, the hypothesis to be tested is that the incidence of adverse outcomes is higher in babies receiving empiric antibiotics (EA) in the first week of life compared to babies receiving placebo. The study targets a population of ELBW infants in whom the clinical decision to use or not use EA is currently most challenging -- infants that are clinically stable that did not have a known exposure to intraamniotic infection and were not born preterm for maternal indications. The primary outcome is the composite outcome of late-onset sepsis (LOS), necrotizing enterocolitis (NEC), or death during the index hospitalization. Secondary safety outcomes will include total antibiotic days, days to full enteral feedings, and common morbidities in preterm infants that have previously been linked to EA, e.g. retinopathy of prematurity and bronchopulmonary dysplasia. Weight and length z-score, and head circumference, are standard measures to be collected weekly by clinical team per a standardized protocol.
Sepsis is a serious medical condition associated with a high incidence and mortality rate. It is the leading cause of death in ICU worldwide. Nowadays sepsis was redefined as a life-threatening organ dysfunction caused by a dysregulated host response to infection. Despite the progress made in the pathogenesis of sepsis and advances achieved in medical interventions, the management of sepsis remains a challenge for clinicians. The core problem that precludes the promotion in the management of sepsis is the lack of early and precise prediction. The metabolic profiles will be significantly changed when body suffers from sepsis even though the organ function remains normal, thus making it possible to predict sepsis in the early stage through the detection of the metabolites.
The pharmacokinetics of antimicrobials is profoundly modified in Intensive care unit (ICU) patients. To adapt the treatment, it is recommended to measure blood levels of antibiotics. Some antibiotics, such as amikacin, are easy to monitor, while for other molecules, such as piperacillin/tazobactam, the drug monitoring is more difficult to obtain. These two molecules have similar physicochemical characteristics (hydrophilicity) and therefore have closed pharmacokinetic properties. OPTIMA is a study aiming at criteria will be used to judge whether the pharmacokinetic (PK) parameters of amikacin are predictive of those of piperacillin and tazobactam.
The sepsis syndrome has recently been more stringently defined as "a life-threatening organ dysfunction caused by a dysregulated host response to infection". Clinical and paraclinical tools are investigated for their ability to adequately recognize sepsis early.
Septic shock is a major cause of morbidity and mortality. SIRS (systemic inflammatory response syndrome) can progress over hours to days to severe sepsis and septic shock. Currently, lactate levels are used to guide resuscitative efforts and have been shown to be a predictor of mortality independent of vital sign abnormalities (1). However, their use seems to be limited to trending in a given patient, and not for prognostic value of a single level (2). This is because there is significant overlap in lactate levels of individuals who progress to death and multisystem organ failure as compared to those who do not (2). Blood cultures are also extensively used to detect blood stream infection (BSI), but these are time consuming and are not immediately useful to clinicians caring for sick patients. A biomarker that adequately distinguishes between patients at high risk for progression to severe sepsis/shock/death and those who will not would be helpful in the appropriate initiation of aggressive treatment and appropriate disposition of patients in clinical care. Previously, the investigators demonstrated that sPLA2-IIA detected by ELISA assay had a sensitivity of 87% and a specificity of 91% in detecting sepsis (3). Zeus Pharmaceuticals has developed a bedside point-of-care test measuring sPLA2-IIA in real time. The investigators propose to study this assay in terms of its discriminatory value in distinguishing between SIRS from non-infectious causes, sepsis, severe sepsis, and septic shock in a cohort of patients presenting to the emergency department at Anderson and Bethlehem campuses. The investigators propose to better define the threshold level for this marker assay as well as seek to establish its utility in a clinical population. The investigators will take samples of blood from emergency department patients presenting who meet SIRS criteria or have a positive q-SOFA screen. The investigators will take subsequent samples of blood when lactate levels are redrawn as per St. Luke's sepsis protocol. After informed consent is obtained, blood specimens will be run in analyzer provided by Zeus for sPLA2-IIA. The investigators will record presence and quantity of sPLA2-IIA, as well as other markers of sepsis such as lactate, vital signs, blood cultures, and patient oriented outcomes (ie ICU days, organ dysfunction, and survival to discharge). Printouts from analyzer will be stored in locked cabinet, and remaining blood will be discarded. The data will then be compiled by the investigators at St. Luke's University Hospital. The results will be correlated with the patients' clinical progression to determine the biomarker's utility and cut-off values for predicting progression of SIRS. As clear threshold levels for this marker have yet to be defined, the investigators would like to enroll patients meeting criteria until the investigators have enrolled 50 patients with septic shock. It is anticipated that, proportionally, this will lead to enrollment of 75-100 patients with severe sepsis, 100-150 patients with sepsis, and 100-150 patients meeting SIRS criteria who are not septic. This will help delineate if there is any value in this assay for distinguishing among the severity of sepsis pathophysiology.