+1 877 705 1914• 24 / 7
HIPAA Compliant
ISO 27001 Certified

Actively Recruiting

Age: 18Years - 85Years
All Genders
ID06867120

Using Bowel Sound Monitoring to Predict Severe Acute Pancreatitis in Adults with Acute Pancreatitis A Prospective Multi-Center Study

Led by Peking Union Medical College Hospital · Updated on 2026-04-06

352

Participants Needed

1

Research Sites

N/A

Total Duration

AI-Summary

What this Trial Is About

Researchers are evaluating a new way to predict severe acute pancreatitis SAP early in patients diagnosed with acute pancreatitis AP. This study aims to monitor bowel sounds continuously to identify those likely to develop SAP, which has a poor prognosis. It is a prospective, multi-center study including patients newly diagnosed with AP at emergency departments across three centers starting from December 2023. Participants will undergo continuous bowel sound monitoring for at least 48 hours using standardized equipment. The bowel sounds will be analyzed by an automated algorithm to estimate an activity index that may indicate the risk of SAP. This monitoring is blinded to the patients SAP status. The study also explores differences in gut microbiota and blood markers related to intestinal permeability between patients with and without SAP. During the study, researchers will track the occurrence of SAP within 7 days after enrollment as the primary outcome. They will also observe mortality, length of hospital stay, and organ failure up to 30 days. Participants will have their bowel sounds monitored continuously, and samples for gut microbiota and blood markers will be collected. This study helps assess intestinal function in AP patients and may improve early prognosis prediction. The total participation time varies based on hospitalization duration and monitoring needs.

CONDITIONS

Brief Title

Bowel Sound in Predicting the Severity of Acute Pancreatitis: Protocol of a Prospective, Multi-center Study

Research Team

Z

Ziying Han, Doctor of Medicine

Not the Right Trial for You?

Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.

Already have an account? Log in here