- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02245802
Multicenter Validation on Predicting Mortality for Patients With Bleeding Peptic Ulcers
Multicenter Prospective Validation Study on the Prediction of In-hospital Mortality Using CU Prediction Model for Patients With Bleeding Peptic Ulcers
Study Overview
Status
Conditions
Detailed Description
Despite advances in management of patients with bleeding peptic ulcers, mortality is still 10%. We previously reported a prediction score for ulcer bleeding related mortality developed from a local cohort. The risk factors for mortality included patients older than 70, presence of co-morbidity, more than one listed co-morbidity, hematemesis, SBP < 100 mmHg, in-hospital bleeding, rebleeding, and need for surgery.
Study objective This study aimed to validate the prediction of mortality among patients with bleeding peptic ulcers from different Asian countries.
Method Consecutive patients with bleeding peptic ulcers who presented to the study centers in Hong Kong, Japan and Taiwan were recruited after successful primary endoscopic hemostasis. The baseline demographics, ulcer characteristics, the predictive factors, 30 days mortality, rebleeding, hospital stay and need of surgery were recorded. The accuracy of prediction for adverse events including mortality and rebleeding with the prediction risk scoring system would be analysed.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Hong Kong SAR, China, 00000
- Combined Endoscopy Center, Prince of Wales Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients presented with bleeding peptic ulcers
- Age > 18 year old
- Informed consent for the study and OGD
Exclusion Criteria:
- Unable or refuse to give consent
- Onset more than 7 days
- Pregnancy
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
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Low risk group
CU Prediction model < 3
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High risk group
CU Prediction model >=3
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
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Accuracy in prediction of peptic ulcer bleeding related mortality
Time Frame: 30 days
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The CU prediction score would be calculated from addition of all the risk factors scores. .
The calculated predictive score collected from the whole group of patients would be analyzed using the receiver operating characteristic (ROC) curve and represented using the area under curve (AUC).
An AUC of 0.5 would be interpreted as poor predictive power whereas a value of 1.0 would indicate excellent predictive power.
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30 days
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Hospital stay
Time Frame: 30 days
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30 days
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Complication rate
Time Frame: 30 days
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30 days
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Mortality difference between high risk and low risk group
Time Frame: 30 days
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30 days
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Need of Surgery
Time Frame: 30 days
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30 days
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Need of Transfusion
Time Frame: 30 days
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Need of transfusion as represented by number of units transfused
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30 days
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Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Philip Chiu, MD, Department of Surgery, The Chinese University of Hong Kong
Publications and helpful links
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- CRE-2010.207
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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