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Impact of intestinal dysbiosis in acute pancreatitis

Impact of intestinal dysbiosis in acute pancreatitis: a multicenter prospective observational study - Impact of intestinal dysbiosis in acute pancreatitis: a multicenter prospective observational study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
JPRN
Registry ID
JPRN-UMIN000050720
Enrollment
60
Registered
2023-04-01
Start date
2024-01-01
Completion date
Unknown
Last updated
2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

acute pancreatitis

Interventions

None listed

Sponsors

Chiba University Hospital Emergency and Critical Care Medicine 1-8-1 Inohana, Chuo, Chiba 260-8677, Japan
Lead Sponsor
RIKEN Center for Life Science Technologies, RIKEN Institute of Physical and Chemical Research.
Collaborator

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Adults (18 years of age or older) Patients diagnosed with acute pancreatitis using the Ministry of Health, Labour and Welfare's criteria for acute pancreatitis severity Patients newly admitted to the hospitals of the participating institution and expected to hospitalization for 48 hours or longer

Exclusion criteria

Exclusion criteria: Patients with inflammatory bowel disease Patients with diarrhea prior to admission Patients who have received antimicrobial agents for more than 1 week in the 2 months prior to admission Patients who are judged to be inappropriate as research subjects by the principal investigator.

Design outcomes

Primary

MeasureTime frame
Changes in various parameters of the intestinal microbiota, protein concentration in stool, and metabolite concentration

Secondary

MeasureTime frame
Relationship between each parameter and short- and long-term prognosis Correlation of each parameter with treatment details and clinical course during ICU stay Correlation between the amount of diarrhea and alpha-diversity parameters, protein concentration in each stool, and metabolite concentration Cluster analysis in patients with acute pancreatitis Development of artificial intelligence to predict patients' outcomes using collected clinical data and radiological information

Countries

Japan

Contacts

Public ContactTakehiko Oami

Chiba University Hospital Emergency and Critical Care Medicine

seveneleven711thanks39@msn.com4042227171

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026