39 Clinical Trials for Various Conditions
The purpose of this study is to improve transitions of care for the highest risk, complex patients with suspected sepsis. Atrium Health has developed a nurse-navigator facilitated care transition strategy, called the Sepsis Transition and Recovery (STAR) program, to improve the implementation of recommended care practices and bridge care gaps for patients in the post-sepsis transition period. During their hospitalization, STAR program patients enter into a transition pathway facilitated by a centrally located nurse navigator and including the following evidence-based post-sepsis care components: i) review and recommendation for adjustment of medications; ii) identification of and referral for new physical, mental, and cognitive deficits; iii) surveillance for treatable conditions that commonly lead to poor outcomes; and iv) referral to palliative care when appropriate. IMPACTS (Improving Morbidity during Post-Acute Care Transitions for Sepsis) is a pragmatic, randomized program evaluation to compare clinical outcomes between sepsis survivors who receive usual care versus care delivered through the STAR program following hospitalization. IMPACTS will test the hypothesis that patients that receive care through STAR will have decreased composite all cause, 30-day hospital readmission and mortality compared to patients that receive usual care.
The purpose of this study is to determine whether analysis of specific serum biomarkers will improve the diagnosis of late onset neonatal sepsis and to determine the correlation between plasma levels of specific cytokines and bacteremia in NICU patients \>3 days of age.
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.
To investigate the relationship between initial ClearSight™ derived hemodynamic parameters and outcomes (death, ongoing organ dysfunction or delayed ICU admission) in patients with acute infection and possible sepsis, with a focus on venous blood lactate (\< 2.0, 2.0-3.9, and ≥ 4.0 mmol/dL) and hemodynamic subgroups, using ED patients presenting with minor infections or asthma/COPD exacerbations as controls (henceforth referred to as Sepsis Mimic Group).
The investigators will conduct a prospective cohort study to compare an automated sepsis severity score to a conventional clinical prediction rule to risk stratify patients admitted from the emergency department (ED) with suspected infection for 28 day in-hospital mortality.
The objectives of this multinational study are to assess the clinical outcomes of patients with Acinetobacter bloodstream infection and to further assess the predictors of mortality in this patient population. We also aim to characterize the molecular epidemiology of this remarkable organism in an attempt to further understand its transmission dynamics on a global level and to determine whether increased pathogenicity is geographically dependent.
The purpose of this study is to demonstrate that addition of the Monocyte Width Distribution (MDW) parameter to current standard of care improves a clinician's ability to recognize sepsis in the Emergency Department, resulting in earlier decision to administer antibiotics from time of ED presentation for sepsis patients (simulated primary endpoint), with concomitant reductions in length of stay and in-hospital mortality for those patients (secondary endpoints).
The purpose of this study is to demonstrate that addition of the Monocyte Width Distribution (MDW) parameter to current standard of care improves a clinician's ability to recognize sepsis in the Emergency Department, resulting in earlier decision to administer antibiotics from time of ED presentation for sepsis patients (simulated primary endpoint), with concomitant reductions in length of stay and in-hospital mortality for those patients (secondary endpoints).
This study will analyze HostDx Sepsis results from whole blood samples collected from patients with suspected sepsis or at risk for sepsis in the surgical ICU
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.
This is a double-blind, randomised, placebo-controlled, two-part adaptive clinical trial. The trial is designed to investigate the efficacy and safety of multiple dosing regimens of selepressin and to confirm the efficacy and safety of one dosing regimen in treatment of adult patients with septic shock requiring vasopressor.
This study is designed to test two new risk scores - one designed to predict a patient's four-hour risk of developing sepsis and one designed to predict a patient's four-hour risk of deterioration (cardiac arrest, death, unplanned ICU transfer, or rapid response team call). The goal of this study is to improve provider awareness of a patient's risk of these two negative outcomes by providing them with new risk scores. The primary outcome will be the time from when the risk score becomes elevated to when vital signs such as heart rate or blood pressure are measured, suggesting an increased awareness.
The objective of the study is to determine the efficacy of the Microbio InfectID-BSI qPCR kit in a clinical laboratory environment using patient whole blood for pathogen detection and identification versus standard of care methods from blood culture. The objective of this study is to determine the sensitivity and specificity of the Microbio InfectID-BSI qPCR kit by the evaluation of clinical blood samples versus standard of care methods from blood culture.
The goal of this clinical trial is to study systemic inflammatory response syndrome (SIRS) electronic health record (EHR) alerts for sepsis in the inpatient setting. The main question it aims to answer is: do nurse alerts, prescribing clinician alerts, or both nurse and prescribing clinician alerts improve time to sepsis treatment for patients in the inpatient setting? Nurses and prescribing clinicians will receive SIRS alerts based on the group to which the patient is randomly assigned. Researchers will compare four groups: no alerts, nurse alerts only, prescribing clinician alerts only, or both nurse and prescribing clinician alerts.
The goal of this clinical trial is to study systemic inflammatory response syndrome (SIRS) electronic health record (EHR) alerts for sepsis in the emergency department (ED). The main question it aims to answer is: do nurse alerts, prescribing clinician alerts, or both nurse and prescribing clinician alerts improve time to sepsis treatment for patients in the ED? Nurses and prescribing clinicians will receive SIRS alerts based on the group to which the patient is randomly assigned. Researchers will compare four groups: no alerts, nurse alerts only, prescribing clinician alerts only, or both nurse and prescribing clinician alerts.
Bacterial blood stream infections are common and life-threatening. Bloodstream infections have historically been identified using blood cultures, which often take 24-72 hours to result and are imperfectly sensitive. Early administration of antimicrobial therapy is a fundamental component of the management of adults presenting to the hospital with a suspected bloodstream infection and/or sepsis. But because blood cultures frequently take 24-72 hours to result, patients are typically treated with empiric, broad spectrum antibiotics. In a meta-analysis of sepsis studies, empirical antibiotic therapy was inappropriate for the organism that ultimately grew in culture in almost half of patients. Thus, patients are commonly exposed to unnecessary antibiotics without evidence of infection or with evidence of infection requiring narrow antibiotic selection. For example, current guidelines recommend the use of empiric intravenous vancomycin as coverage for a bloodstream infection caused by the bacterial pathogen methicillin-resistant S. aureus (MRSA). Vancomycin requires careful monitoring due to its narrow therapeutic range and high risk of toxicity. Administration of vancomycin to patients who do not have MRSA can lead to avoidable adverse drug events and costs, as well as drive antimicrobial resistance. There has been increasing interest in using rapid diagnostic tests that identify bacteria directly from whole blood samples without relying on growth in culture, referred to as "direct-from-blood" tests, to guide early therapeutic management of patients with suspected bloodstream infections in addition to standard blood cultures. One such FDA-approved, direct-from-blood test is the T2Bacteria® Panel. This panel's performance as a direct-from blood test for bacterial pathogens has been described in previous studies. A recent meta-analysis of largely observational studies reported a faster transition to targeted microbial therapy and de-escalation of empirical microbial therapy, as well as a shorter duration of intensive care unit stay and hospital stay for patients who received this direct-from-blood test. We will conduct a pragmatic, randomized clinical trial examining the effect of using the T2Bacteria® Panel direct from-blood testing, compared to using blood cultures alone (standard of care), on antimicrobial receipt and clinical outcomes for adults presenting to the hospital with suspected infection and who have been initiated on empiric therapy with intravenous vancomycin.
This study will collect and characterize ventilator use during patient care with a ZOLL 731 Series ventilator in a pre-hospital setting.
The primary objective of this study is to validate the use of an electronic clinical decision support (CDS) tool, TriageGO with Monocyte Distribution Width (TriageGO-MDW), in the emergency department (ED). TriageGO-MDW is non-device CDS designed to support emergency clinicians (nurses, physicians and advanced practice providers) in performing risk-based assessment and prioritization of patients during their ED visit. This study will follow an effectiveness-implementation hybrid design via the following three aims (phases), to be executed sequentially: (Aim 1) Validate the TriageGO-MDW algorithm locally using retrospective data at ED study sites. (Aim 2) Deploy TriageGO-MDW integrated with the electronic medical record (EMR) and perform user assessment. (Aim 3) Evaluate TriageGO-MDW in steady state with respect to clinical, process, and perceived utility outcomes.
This is a study to evaluate the diagnostic performance of the investigational Cytovale System \& IntelliSep Test as a diagnostic marker of sepsis in a population of patients presenting to the emergency department with signs or suspicion of infection compared to retrospective physician adjudication, per the sepsis 3 definition, of those patients.
This study will evaluate the pharmacokinetic and pharmacodynamic dosing properties of intravenous vancomycin in pediatric patients using a novel computer decision support (CDS) tool called Lyv. Dosing will be individualized based on AUC24/MIC. The results will be compared to matched historical controls.
The purpose of this study is to evaluate if implementation of the Sepsis Transition and Recovery (STAR) program within a large healthcare system will improve outcomes for high-risk patients with suspected sepsis, while concurrently examining contextual factors related to STAR program delivery within routine care to generate knowledge of best practices for implementation and dissemination of post sepsis transitions of care. To address persistent morbidity and mortality for sepsis survivors, Atrium Health developed the Sepsis Treatment and Recovery (STAR) program which uses a nurse navigator to deliver a bundle of best-practice care elements for the delivery of longitudinal post-sepsis care for up to 90 days. These care elements are directed towards the specific challenges and sequelae following a sepsis hospitalization and include: 1) identification and treatment of new physical, mental, and cognitive deficits; 2) review and adjustment of medications; 3) surveillance of treatable conditions that commonly lead to poor outcomes including chronic conditions that may de-stabilize during sepsis and recovery; and 4) focus on palliative care when appropriate. ENCOMPASS (Engagement and Collaborative Management to Proactively Advance Sepsis Survivorship) is an effectiveness-implementation hybrid type I trial, with the evaluation designed as a two-arm, pragmatic, stepped-wedge cluster randomized controlled trial conducted at eight regional hospitals in which each participating hospital begins in a usual care control phase and transitions to the STAR program intervention in a randomly assigned sequence. Patients are allocated to receive the treatment condition (i.e., usual care or STAR) assigned to their admission hospital at time of enrollment. ENCOMPASS will test the hypothesis that patients who receive care through the STAR program will have reduced mortality and hospital readmission assessed 90 days post index hospital discharge compared to patients who receive usual care.
Sepsis is a life-threatening complication of infection that can be difficult to recognize and treat promptly. Timely administration of antibiotics for emergency department (ED) patients with sepsis is challenging. The goal of this study is to determine the potential effectiveness and unintended consequences of reorganizing ED care for patients with suspected sepsis.
Sepsis has its greatest impact in the prematurely born (preterm) population. Neonatal sepsis (sepsis within the first month of life) causes over one million deaths worldwide annually, and is one of the most common, difficult and costly problems to diagnose, treat and prevent. The preterm infant can suffer rates of sepsis up to 1000-fold higher than the full-term infant, and bears the brunt of the associated mortality and lifelong sepsis-survivor morbidity. The project is enabled by several novel, validated, microfluidic technologies that are robust and easy to use with little training. These technologies provide comprehensive measures of the functionality of blood PMN population; a critical cellular component of innate immunity. The study team will also extract high-quality nucleic acids from microfluidic-sorted PMNs for transcriptomic analyses. Collectively, these techniques require a total of 250 microliters (µL) of blood, which makes them particularly useful for preterm infants where sample volume is limited, and facilitates serial assessments with unprecedented temporal resolution of key functions of PMNs. These studies, integrated with bioinformatics approaches, will generate new tools for diagnosing sepsis in the newborn and predicting clinical outcomes. Such approaches have the capability to dramatically change the clinical management of the preterm infant, and potentially improve long-term outcomes while reducing hospital costs.
The World Health Organization, U.S. Centers for Disease Control and Prevention, Association of Medical Microbiology and Infectious Diseases (AMMI) Canada, and Health Canada have all declared antimicrobial resistance a global threat to health, based on rapidly increasing resistance rates and declining new drug development. Up to 30-50% of antibiotic use is inappropriate, and excessive durations of treatment are the greatest contributor to inappropriate use. Shorter duration treatment (≤7 days) has been shown in meta-analyses to be as effective as longer antibiotic treatment for a range of mild to moderate infections. A landmark trial in critically ill patients with ventilator-associated pneumonia showed that mortality and relapse rates were non-inferior in patients who received 8 vs 15 days of treatment. Similar adequately powered randomized trial evidence is lacking for the treatment of patients with bloodstream infections caused by a wide spectrum of organisms.
Brief Summary: The goal of this study is to implement and test an intelligent perioperative system (IPS) that in real-time predicts risk for postoperative complications using routine clinical data collected in electronic health records. The accuracy of computer-generated risk scores will be compared to physician's risk scores for the same patients. Physicians will be also asked to provide the opinion regarding the computer-generated risk scores using interactive interface with the program. The information regarding the risk scores performance will be collected during the two 6-month periods. The accuracy of IPS and physicians will be compared at the end at those two time periods.
Polymyxin B is already being used extensively in the USA and other parts of the world; its use is likely to rapidly increase due to the greater burden of infections caused by MDR Gram-negative bacteria and the growing awareness of the limitations inherent in the clinical pharmacology of CMS/colistin. Cross resistance exists between the two polymyxins and thus both must be dosed optimally; but the recently generated scientifically-based dosage regimens for CMS/colistin cannot be extrapolated to polymyxin B. It is essential that an adequately powered study is conducted to define the clinical PK/PD/TD relationships of polymyxin B and identify, using next-generation proteomics, biomarkers for early detection of kidney injury. This will allow the development of scientifically-based dosage regimens for various categories of patients and an adaptive feedback control clinical tool for optimized dosing of polymyxin B in future individual patients.
The objectives of the study are to confirm safety and performance of the Zimmer Nexel Total Elbow when used in primary or revision total elbow replacement.
The primary objective of the proposed study will be to determine if a multi-modality teaching curriculum utilizing high-fidelity simulation and didactic lecture will result in sustained improvement by internal medicine residents in written knowledge and clinical performance when compared to residents receiving a curriculum utilizing only didactic lecture. The investigators hypothesis is that the addition of high-fidelity simulation to a traditional didactic lecture curriculum will result in sustained and superior written knowledge and practical performance when compared to a group receiving only didactic lecture on the same topic. Specifically, the investigators will be assessing internal medicine resident knowledge and performance in the area of sepsis in the hospitalized patient, and will shape the investigators teaching curriculum around this focus.
The aim of this project is to test the utility of The Gene Z device (as of 2018 Gene Z no longer being used), now using In-Dx and other rapid identification techniques that the investigators have developed in the lab on clinically obtained bodily fluid samples taken from patients with suspected infection or sepsis based on having three of four positive Systemic Inflammatory Response Syndrome markers, or having a known infection for which a specimen is being collected. Specimens will be collected by University of Michigan Health/Sparrow Laboratories and McLaren Greater Lansing laboratories, processed and stored for analysis at a later date to determine if the microbial pathogens identified by current methods of culture, as well as pathogen susceptibility to antibiotics by culture results, can be identified by the GeneZ technology (no longer in use) or other developed technology accurately, and more timely. It will not affect current patient care nor impact patient care, which will continue in the standard fashion today for sepsis. Results will be compared to standard culture results and antibiotic sensitivities.
The goal is to develop a two-tiered monitoring system to improve the care of patients at risk for clinical deterioration on general hospital wards (GHWs) at Barnes-Jewish Hospital (BJH). The investigators hypothesize that the use of an automated early warning system (EWS) that identifies patients at risk of clinical deterioration, with notification of nurses on the GHWs when patients are identified, will reduce the risk of ICU transfer or death within 24 hrs of an alert. As a substudy, the investigators will pilot the use of a wireless pulse oximeter to establish feasibility and to develop algorithms for a real-time event detection system (RDS) in these high-risk patients.