- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06697691
Clinical Prediction Model for In-Hospital Rebleeding in Acute Non-Variceal Upper Gastrointestinal Bleeding
Construction of a Clinical Prediction Model for In-Hospital Rebleeding in Patients With Acute Non-Venous Upper Gastrointestinal Bleeding
ANVUGIB is a serious condition that can cause symptoms like vomiting blood or passing black stools. Although treatments have improved, about 10% to 30% of patients experience rebleeding shortly after their initial treatment, which increases the risk of death.
Currently, doctors use tools like the Glasgow-Blatchford Score, Rockall Score, and AIM65 Score to predict how patients with ANVUGIB might recover. However, these tools are not very effective at identifying patients who are at risk for rebleeding. This study aims to create a new, more accurate prediction model to help doctors identify high-risk patients earlier. The investigators believe that a new predictive model, which combines patient symptoms, lab test results, and imaging findings, will improve the ability to identify patients at high risk of rebleeding compared to existing tools.The goal is to provide doctors with a more reliable tool to guide their decisions, such as when to give preventive treatments or increase monitoring. This could lead to better outcomes and reduce the risk of complications or death.
This study uses patient data collected during routine care to develop and test the new model, ensuring the findings are directly applicable to real-world clinical settings.
Study Overview
Status
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: junwei yan
- Phone Number: +8602782211449
- Email: yanjunweifeng@163.com
Study Locations
-
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Hubei
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Wuhan, Hubei, China, 430000
- Recruiting
- The Central Hospital of Wuhan
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Contact:
- heng zhang
- Email: 653262549@qq.com
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- age exceeding 18 years,
- Clinical diagnosis of Acute Non-Variceal Upper Gastrointestinal Bleeding ,
- patients who underwent endoscopy within 24 hours of admission with confirmation of non-variceal bleeding
Exclusion Criteria:
- Upper Gastrointestinal Bleeding during hospitalization;
- transfer from other hospitals;
- variceal bleeding;
- lower gastrointestinal bleeding.;
- bleeding attributed to systemic diseases like disseminated intravascular coagulation (DIC) and hematological disorders;
- patients with incomplete clinical data or laboratory test results;
- patients who either requested early discharge or declined gastroscopy.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
relbeeding
Time Frame: up to 7 days
|
Rebleeding was defined as hematemesis, hematochezia, and/or melena within 7 days of the initial bleeding, accompanied by hemodynamic instability or a decrease in hemoglobin of at least 2 g/dl within 24 hours.
|
up to 7 days
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ANVUGIB-2024-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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