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Tundra lists 3 Intra Abdominal Infections clinical trials. Each listing includes eligibility criteria, study locations, and direct links to research sites in the Tundra directory.
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NCT07689266
Soluble Immune Checkpoints in Intra-Abdominal Infections
Intraabdominal infections is a life-threatening syndrome with a high incidence and a significant economic burden. The early-stage cytokine storm and the late-stage immunosuppression contribute to the mortality of sepsis. Immune checkpoints expressed on lymphocytes and antigen-presenting cells (APCs) play a crucial role in the pathogenesis of sepsis by regulating immune dysfunction. Specific therapies targeting immune checkpoints have shown great potential in animal and preclinical studies, paving the way for further clinical research. In this study, the significance of serum immune checkpoints - sCD25 (IL-2Ra), 4-1BB, B7.2 (CD86), Free Active TGF-beta1, CTLA-4, PD-L1, PD-1, Tim-3, LAG-3, and Galectin-9 - will be investigated in patients with intraabdominal infection.
Gender: All
Ages: 18 Years - 85 Years
Updated: 2026-07-08
NCT07579312
Diagnosis of Abdominal Pain Using RNA Levels: The NATURAL Study
The NATURAL Study is a prospective, observational, pragmatic study of RNA biomarkers of infections to aid in the diagnosis of abdominal pain. Summary of Research Study: Hypothesis: A genomic-derived panel of 6 RNA biomarkers present in stabilized whole blood will provide diagnostic information about the presence of bacterial, biofilm, and viral infections in the abdomen. We hypothesize that biomarkers will be more than 90% sensitive with a high (\>90%) negative predictive value for IAI. Research Design: The project design is a prospective, pragmatic, observational study. The NATURAL Study will be sponsored by True Bearing Diagnostics, Inc., and performed at 5 or more academic medical centers. Patients with suspected intra-abdominal infections (IAIs), such as appendicitis, diverticulitis, acute cholecystitis, pancreatitis, peritonitis, pyelonephritis, and abscess are candidates for this study. This is a broad category of patients that are defined by the suspicion of an internal abdominal infection, usually involving some type of advanced imaging analysis, such as CT scan or ultrasound. All participants will be consented for this observational, minimal-risk study prior to venipuncture. Ultimately, The NATURAL Study will determine the positive agreement (\~sensitivity) and negative agreement (\~specificity) of the TruNAV RNA biomarkers in relation to the clinical diagnosis of the presence or absence of an IAI, based on CT scans and/or surgical confirmation, the current standard of care for diagnosis of IAI. Objective: To validate a novel RNA fingerprint in ED patients with suspected IAIs. The NATURAL Study is designed to determine the accuracy of novel RNA biomarkers for diagnosis of IAI in patients suspected of having IAI. Subgroup analysis will analyse RNA biomarker for multiple types of actual and suspected IAIs (appendicitis, diverticulitis, acute cholecystitis, pancreatitis, peritonitis, pyelonephritis, and abscess.) Subjects: Approximately 1,000 ED patients presenting with abdominal pain that are candidates to receive CT or other confirmatory diagnostics will be enrolled.
Gender: All
Ages: 7 Years - Any
Updated: 2026-05-12
1 state
NCT07562204
Rapid Identification of Microbial Pathogens in Intra-abdominal Infections Using Multiplex PCR
With this study, the investigators want to determine whether a fast identification of microorganisms causing intra-abdominal infections in patients with suspected hollow organ perforation or peritonitis is possible using a multiplex PCR system (Unyvero A50), a method that allows rapid detection of predefined bacterial and fungal targets directly from clinical samples. Therefore, intra-abdominal peritoneal fluid samples collected during surgery will be analyzed by multiplex PCR and by conventional microbiological culture. The investigators want to determine whether multiplex PCR diagnostics could provide results faster than conventional microbiological methods and deliver additional information on pathogen detection.
Gender: All
Ages: 18 Years - Any
Updated: 2026-05-01