Personalised Prediction of Disease Course in Ulcerative Colitis Using Multimodal Machine Learning - Part of the Presager Project (Presager II)
In patients achieving clinical remission following a flare, artificial intelligence can reliably predict a new flare within the next 12 months utilizing clinical and objective information at day 0 and week 8.
Secondary endpoints:
- An artificial intelligence model's precision in predicting a new flare within 2 and 3 years
- An artificial intelligence model's precision to rule out patients who will not experience a new flare within 1, 2 and 3 year
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Locations
-
-
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Hvidovre, Denmark, 2650
- Recruiting
- Gastrounit, medical section, Copenhagen University Hospital Hvidovre
-
Contact:
- Bobby ZS Lo, M.D.
- Phone Number: +45 28580410
- Email: bobby.lo@regionh.dk
-
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion criteria:
- Signed informed consent
- Diagnosis of UC for at least 1 year
- Relapse due to UC.
- First endoscopic and histological evaluation of the flare Exclusion criteria
- Well-founded doubt that the flare is due to other than the patients UC
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Flare I
Time Frame: within 1 year
|
Evaluate the accuracy in predicting a flare within 1 year after the patient's initial flare using machine learning methods.
|
within 1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Flare II
Time Frame: within 2 years
|
Evaluate the accuracy in predicting a flare within 2 years, after the patient's initial flare, using machine learning methods.
|
within 2 years
|
|
Flare III
Time Frame: within 3 years
|
Evaluate the accuracy in predicting a flare within 3 years, after the patient's initial flare, using machine learning methods.
|
within 3 years
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
Helpful Links
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- H-21020965
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
product manufactured in and exported from the U.S.
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