Sepsis clinical trials at UC Health
8 in progress, 3 open to eligible people
Endourology Disease Group Excellence (EDGE) Consortium: Antibiotics (Abx) for Percutaneous Nephrolithotomy (PCNL) Part 2
open to all eligible people
This study will be a multi-institutional randomized clinical trial of a short course of pre-operative antibiotic prophylaxis in addition to perioperative antibiotics prior to undergoing percutaneous nephrolithotomy. The select patient population will be those patients deemed to be at a moderately increased risk of postoperative infectious complications. These higher risk patients are those with indwelling urinary drainage tubes and those with a positive preoperative urine culture.
at UCSD
Pharmacokinetics of Understudied Drugs Administered to Children Per Standard of Care
open to eligible people ages up to 21 years
Understudied drugs will be administered to children per standard of care as prescribed by their treating caregiver and only biological sample collection during the time of drug administration will be involved. A total of approximately 7000 children aged <21 years who are receiving these drugs for standard of care will be enrolled and will be followed for up a maximum of 90 days. The goal of this study is to characterize the pharmacokinetics of understudied drugs for which specific dosing recommendations and safety data are lacking. The prescribing of drugs to children will not be part of this protocol. Taking advantage of procedures done as part of routine medical care (i.e. blood draws) this study will serve as a tool to better understand drug exposure in children receiving these drugs per standard of care. The data collected through this initiative will also provide valuable pharmacokinetic and dosing information of drugs in different pediatric age groups as well as special pediatric populations (i.e. obese).
at UCLA UCSD
Vitamin C, Thiamine, and Steroids in Sepsis
open to eligible people ages 18 years and up
The VItamin C, Thiamine And Steroids in Sepsis (VICTAS) Study is a double-blind, placebo-controlled, adaptive randomized clinical trial designed to investigate the efficacy of the combined use of vitamin C, thiamine and corticosteroids versus indistinguishable placebos for patients with sepsis. The objective of this study is to demonstrate the efficacy of combination therapy using vitamin C, thiamine and corticosteroids in reducing mortality and improving organ function in critically ill patients with sepsis.
at UCLA
HindSight Phase II
Sorry, not yet accepting patients
Machine learning is a powerful method for creating clinical decision support (CDS) tools, but it requires training labels which reflect the desired alert behavior. In the Phase I work for this project, investigators have developed an encoding software called HindSight that examines discharged patients' electronic health records (EHR), identifies clinicians' sepsis treatment decisions and patient outcomes, and passes these labeled examples to an online algorithm for retraining InSight, a machine-learning-based CDS tool for real-time sepsis prediction. Although HindSight has been shown to be successful in improving the performance of InSight in retrospective work, it has yet to be validated in prospective settings; therefore, in this project, the clinical utility of HindSight will be assessed through a multicenter randomized controlled trial (RCT).
at UCSF
Novel Arm Restraint For Critically Ill Patients To Reduce Immobility, Sedation, Agitation and Cognitive Impairment
Sorry, not yet accepting patients
This study evaluates a novel arm restraint compared with traditional soft wrist restraints in older critically ill patients. The primary outcome is upper extremity mobility measured by actigraphy, and secondary outcomes include sedation, agitation, satisfaction, and acceptability.
at UCSD
Rapid Detection of Staphylococcus Aureus in Burn Patients
Sorry, in progress, not accepting new patients
The purpose of this study is to determine if rapid early detection of the bacteria causing sepsis in burn patients improves patient outcomes.
at UC Davis
RCT of Sepsis Machine Learning Algorithm
Sorry, not yet accepting patients
The focus of this study will be to conduct a prospective, multi-center randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a machine-learning algorithm will be applied to EHR data for the detection of sepsis. For patients determined to have a high risk of sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, in-hospital SIRS-based mortality.
at UCSF
Subpopulation-Specific Sepsis Identification Using Machine Learning
Sorry, not yet accepting patients
The focus of this study will be to conduct a prospective, randomized controlled trial (RCT) at Cape Regional Medical Center (CRMC), Oroville Hospital (OH), and UCSF Medical Center (UCSF) in which a subpopulation-optimized algorithm will be applied to EHR data for the detection of severe sepsis. For patients determined to have a high risk of severe sepsis, the algorithm will generate automated voice, telephone notification to nursing staff at CRMC, OH, and UCSF. The algorithm's performance will be measured by analysis of the primary endpoint, in-hospital SIRS-based mortality. The secondary endpoints will be in-hospital severe sepsis/shock-coded mortality, SIRS-based hospital length of stay, and severe sepsis/shock-coded hospital length of stay.
at UCSF
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