Sepsis clinical trials at UC Irvine
3 in progress, 1 open to eligible people
Acupuncture Study for People At High Risk for Sepsis
open to eligible people ages 18 years and up
Researchers think acupuncture may improve outcomes for participants with sepsis, based on laboratory studies and previous studies in people with sepsis. The purpose of this study to see whether real acupuncture can improve outcomes for participants with sepsis when compared to sham acupuncture. Sham acupuncture is performed the same way as real acupuncture but will use different needles and target different sites or places on the body than real acupuncture.
Irvine, California
Diagnostic Accuracy and Clinical Performance of the UllCORE Bloodstream Infection (BSI) Test
Sorry, not currently recruiting here
This study is designed to evaluate the clinical performance of the UllCORE Bloodstream Infection (BSI) Test, an investigational molecular diagnostic test intended to detect microorganisms and selected antimicrobial resistance markers directly from whole blood in patients with suspected bloodstream infection or sepsis. Participants enrolled in the study will have blood collected at the same time as blood samples obtained for standard-of-care blood culture testing. Study blood samples will be tested using the UllCORE BSI Test either as fresh samples or after frozen storage, according to the study protocol. The results of the UllCORE BSI Test will be compared with standard-of-care microbiology results and, when applicable, additional testing methods to assess the diagnostic performance of the investigational test. The UllCORE BSI Test results will not be used to guide patient care and will not be provided to treating healthcare professionals for clinical decision-making. Participation in the study will therefore not change the standard medical care received by participants.
Orange, California and other locations
Sepsis Clinical Decision Support [CDS] Master Enrollment Study Protocol
Sorry, accepting new patients by invitation only
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.
Irvine, California and other locations
Our lead scientists for Sepsis research studies include Gary Deng, MD, PhD.
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