Unique ID issued by UMIN | UMIN000050720 |
---|---|
Receipt number | R000057787 |
Scientific Title | Impact of intestinal dysbiosis in acute pancreatitis: a multicenter prospective observational study |
Date of disclosure of the study information | 2023/04/01 |
Last modified on | 2024/01/18 20:31:40 |
Impact of intestinal dysbiosis in acute pancreatitis
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
Japan |
acute pancreatitis
Hepato-biliary-pancreatic medicine | Emergency medicine | Intensive care medicine |
Others
NO
To improve the mortality rate of acute pancreatitis with high frequency of infectious complications, it is warranted to elucidate the pathophysiology and develop new treatment strategies. As it has been reported that dysbiosis, an imbalance of the intestinal microbiota in critically ill patients, contributes to poor outcomes, controlling the disruption of intestinal homeostasis could be promising tactics for infectious complications in acute pancreatitis. In this study, we aim to determine the sequential changes in intestinal microbiota using 16s RNA metagenomics and metabolomics in patients with in acute pancreatitis.
Others
To improve the mortality rate of acute pancreatitis with high frequency of infectious complications, it is warranted to elucidate the pathophysiology and develop new treatment strategies. As it has been reported that dysbiosis, an imbalance of the intestinal microbiota in critically ill patients, contributes to poor outcomes, controlling the disruption of intestinal homeostasis could be promising tactics for infectious complications in acute pancreatitis. In this study, we aim to determine the sequential changes in intestinal microbiota using 16s RNA metagenomics and metabolomics in patients with in acute pancreatitis.
Exploratory
Not applicable
Changes in various parameters of the intestinal microbiota, protein concentration in stool, and metabolite concentration
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
Observational
18 | years-old | <= |
Not applicable |
Male and Female
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
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.
60
1st name | Taka-aki |
Middle name | |
Last name | Nakada |
Chiba University Hospital
Emergency and Critical Care Medicine
260-8677
1-8-1 Inohana, Chuo, Chiba 260-8677, Japan
4042227171
taka.nakada@nifty.com
1st name | Takehiko |
Middle name | |
Last name | Oami |
Chiba University Hospital
Emergency and Critical Care Medicine
260-8677
1-8-1 Inohana, Chuo, Chiba 260-8677, Japan
4042227171
seveneleven711thanks39@msn.com
Chiba University Hospital
Emergency and Critical Care Medicine
1-8-1 Inohana, Chuo, Chiba 260-8677, Japan
Takeda Science Foundation
Non profit foundation
RIKEN Center for Life Science Technologies, RIKEN Institute of Physical and Chemical Research.
Chiba University Hospital
1-8-1 Inohana, Chuo, Chiba 260-8677, Japan
4042227171
prc-jim@chiba-u.jp
NO
千葉大学医学部附属病院、東千葉メディカルセンター、君津中央病院、慶応義塾大学医学部附属病院
2023 | Year | 04 | Month | 01 | Day |
https://www.medrxiv.org/content/10.1101/2023.03.30.23287938v1
Unpublished
Enrolling by invitation
2022 | Year | 09 | Month | 28 | Day |
2022 | Year | 11 | Month | 18 | Day |
2024 | Year | 01 | Month | 01 | Day |
2025 | Year | 03 | Month | 31 | Day |
Protocol registered in medRxiv (https://www.medrxiv.org/).
2023 | Year | 03 | Month | 30 | Day |
2024 | Year | 01 | Month | 18 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000057787