Microbiome Dysfunction in Surgical ICU Survivors
This observational study is looking at how the bacteria in your mouth and gut (your microbiome) change after a stay in the surgical intensive care unit (ICU) for conditions like sepsis or trauma. Researchers want to understand if these changes are linked to ongoing inflammation in your body. They will compare samples from surgical ICU survivors to healthy individuals. The study aims to identify specific microbial genes that might be connected to this inflammation. You could be eligible if you are an adult (18-110 years old) who has been in the ICU for about 14 days after a sepsis diagnosis. The study plans to enroll 468 participants. The current recruitment status is unclear.
- Study design
- This is an observational study involving 468 participants. It compares changes in the microbiome of surgical ICU survivors to healthy controls.
- What's involved
- You would provide oral swabs, saliva, stool samples, and blood samples at different times: between 7 and 28 days after hospital admission, and then again at 3 and 6 months after leaving the ICU.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed for an average of 6 months after their ICU hospitalization.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Microbiome Dysfunction in Surgical Intensive Care Unit Survivors
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Philip Efron, MD · PRINCIPAL_INVESTIGATOR · UF COM Department of Surgery
Who to contact
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What this trial measures
- Determine the impact of persistent systemic inflammation on oral and gastrointestinal microbiota in surgical ICU survivors & identify microbial genes associated with persistent systemic inflammation of surgical ICU survivors compared to normal controls.through study completion, an average of 6 months
Identify oral and gut microbiome dysfunction through Microbial Taxonomic Analysis and Meta-transcriptomic Analysis