Presager II: Personalised Prediction Of Disease Course In Ulcerative Colitis Using Multimodal Machine Learning - Part Of The Presager Project
Study Details
Study Description
Brief Summary
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:
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An artificial intelligence model's precision in predicting a new flare within 2 and 3 years
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An artificial intelligence model's precision to rule out patients who will not experience a new flare within 1, 2 and 3 year
Condition or Disease | Intervention/Treatment | Phase |
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Study Design
Outcome Measures
Primary Outcome Measures
- Flare I [within 1 year]
Evaluate the accuracy in predicting a flare within 1 year after the patient's initial flare using machine learning methods.
Secondary Outcome Measures
- Flare II [within 2 years]
Evaluate the accuracy in predicting a flare within 2 years, after the patient's initial flare, using machine learning methods.
- Flare III [within 3 years]
Evaluate the accuracy in predicting a flare within 3 years, after the patient's initial flare, using machine learning methods.
Eligibility Criteria
Criteria
Inclusion criteria:
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Signed informed consent
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Diagnosis of UC for at least 1 year
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Relapse due to UC.
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First endoscopic and histological evaluation of the flare Exclusion criteria
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Well-founded doubt that the flare is due to other than the patients UC
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Gastrounit, medical section, Copenhagen University Hospital Hvidovre | Hvidovre | Denmark | 2650 |
Sponsors and Collaborators
- Copenhagen University Hospital, Hvidovre
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Additional Information:
Publications
None provided.- H-21020965