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

Recruiting now

Conditions studied: Acute Pancreatitis (AP), Severe Acute Pancreatitis

In brief

Introduction: Acute pancreatitis (AP) is a common condition, with 20% of cases progressing to severe acute pancreatitis (SAP), which is associated with a poor prognosis. Early identification of patients likely to progress to SAP is crucial for timely intervention. This study aims to use bowel sound monitoring to predict early progression to SAP in AP patients. Methods and analysis: This study is a prospective, multi-center prognostic study . Investigators will consecutively recruit newly diagnosed acute pancreatitis (AP) patients at emergency departments across three centers from December 2023. Upon enrollment, each patient will undergo continuous bowel sound monitoring for at least 48 hours using standardized equipment and procedures. The primary outcome is the occurrence of SAP during hospitalization. Collected bowel sound data will be analyzed by an unsupervised automated algorithm to estimate a bowel sound activity index, which serves as the main diagnostic indicator for SAP. This process will be fully blinded to patients' SAP status. Investigators will calculate the ROC curve and area under the curve (AUC) for the bowel sound activity index's ability to diagnose SAP. Additionally, this study will perform exploratory analyses on differences in gut microbiota and serum intestinal permeability markers (diamine oxidase, D-lactic acid, and bacterial endotoxin) between patients with and without SAP. Investigators will also assess whether bowel sound monitoring can reflect these inter-group differences. Strengths and limitations of the study: 1. Our research aims to monitor bowel sounds in real-time and dynamically, providing an objective tool for monitoring intestinal activity in AP patients. 2. Our research might offer an objective tool to evaluate bowel sounds, aiding in assessing AP patients' intestinal function and complementing existing score systems like the modified Marshall score. 3. By detecting bowel sounds in the early stage of AP, investigators could better monitor intestinal function, which might aid in predicting the prognosis of AP patients. 4. Our monitoring system's main limitation is its difficulty in pinpointing bowel sound changes in specific intestinal segments due to its detection across the entire abdomen.

Key facts

Study ID

NCT06867120

Run by

Peking Union Medical College Hospital

People needed

352

Starts

2024-04-01

Expected to finish

2027-12-31

Last updated by the study team

2026-04-06

Who can join

Age: 18 and older, up to 85. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Aged between 18 and 85 years old.
• Meet the diagnostic criteria for AP, at least two of the following three: (a) characteristic abdominal pain; (b) serum amylase and lipase levels are greater than three times the upper limit of normal; (c) abdominal images with typical manifestations of AP.
• AP patients within 48 hours of onset.
• The patient or family members understand the study protocol and sign the informed consent form.

You may not qualify if…

• The patients who fulfill any of the following criteria will be excluded:
• Patients with serious conditions requiring surgery and abdominal lavage.
• Pregnant women.
• The patients with muscle and nerve disorders, chronic pancreatitis, inflammatory bowel disease, cancer, and irritable bowel syndrome.
• The patients with severe digestive, respiratory, cardiovascular, hematological, endocrine, psychiatric, and infectious diseases.
• The patients have a history of abdominal surgery (except appendectomy or cholecystectomy).
• Allergic to silicone, polycarbonate materials or medical plaster. The intake of antibiotic, probiotics, and Chinese herbal medicine will be recorded before the collection of the swabs and will not be considered as exclusion criteria.

Where it is running

• Peking Union Medical College Hospital — Beijing, Beijing Municipality, China (enrolling)

Full record on ClinicalTrials.gov

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