- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05578768
Prediction of IBD Disease Activity in Individual Patients Based on PROMs and Clinical Data (PrePro)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
The primary objective is to train and validate a relapse prediction model for individual patients available for daily (remote) care management. Besides that, risk-based care pathways for different prediction outcomes will be evaluated, prediction scores will be correlated to medication type, CRP/Calprotectin and/or endoscopy, and with known IBD clinical risk profiles. Moreover dietary intake will be correlated with the IBD risk profiles.
Study design: Multicentre, retrospective analysis of two prospective cohorts. Study population: Adult IBD patients. Main study parameters/endpoints: The endpoint will be a prediction regarding step-up or step-down in the care pathways. In other words, the percentage of patients in each individual care pathway with agreement between risk score of the individual patient and actual flares during a follow-up time of 24 months. Furthermore insight will be gained in dietary patterns amongst patients with different IBD risk profiles.
No benefits or risks are associated with participating in this study, because only standard of care is given.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Contact
- Name: L.J.M. Koppelman, Msc.
- Phone Number: 0031715297902
- Email: patientenibd@lumc.nl
Study Locations
-
-
Zuid-Holland
-
Leiden, Zuid-Holland, Netherlands, 2300 RC
- Recruiting
- Leiden University Medical Centre
-
Contact:
- L.J.M. Koppelman, MSc
- Phone Number: 0031715297902
- Email: patientenibd@lumc.nl
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
In clinical practice, consecutive IBD patients in the LUMC, AH, and MH are registered on the platform and will be asked to participate in the current project. At least 200 UC patients and at least 200 CD patients will be included. Following inclusion, each patient will spend at least 12, but preferably 24 months on the platform.
Patients are already using the PROM-tool to allow remote monitoring; this has been implemented since 2021.
Description
Inclusion Criteria:
- Adult IBD patients
- Subjects willing and able to sign informed consent
- Own and are able to use a smart phone (Android or iOS)
Exclusion Criteria:
- Unwilling or unable to adhere to the protocol
- Unwilling or unable to adhere to the informed consent
- Age <18y
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
training phase
The study procedures for both cohorts are the same.
|
Patients will receive standard of care.
|
|
validation phase
The study procedures for both cohorts are the same.
|
Patients will receive standard of care.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Develop a relapse prediction model for individual patients (agreement between risk score of the individual patient and actual flares) based on both clinical parameters and biochemical parameters in the individual care pathways.
Time Frame: After 2 years
|
This model will be based on both clinical parameters and biochemical parameters in the individual care pathways.
|
After 2 years
|
|
Validate the above mentioned prediction model and make it available for daily (remote) care management.
Time Frame: After 2 years
|
Based on the information form the validation cohort.
The model will be validated retrospectively.
|
After 2 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
evaluate risk-based care pathways for different prediction outcomes in clinical practice e.g. high intensity monitoring care pathway for patients with a high prediction score.
Time Frame: After 2 years
|
Evaluate whether predefined risk-based care pathways are in line with prediction outcomes of the relapse prediction model.
|
After 2 years
|
|
Correlate the prediction scores of the different care pathways to medication type.
Time Frame: After 2 years
|
See if there is a statistical correlation between medication type and prediction score
|
After 2 years
|
|
Correlate prediction scores of the different pathways with biomarkers CRP/Calprotectin and/or endoscopy
Time Frame: After 2 years
|
See if there is a statistical correlation between prediction score and biomarkers CRP/Calprotectin and/or endoscopy
|
After 2 years
|
|
Correlate prediction scores from the algorithm with known IBD clinical risk factors
Time Frame: After 2 years
|
See if there is a statistical correlation between prediction scores from the model to known clinical risk factors like e.g.
operation history, presence of EIM.
|
After 2 years
|
|
Correlate dietary intake with the assigned IBD clinical risk profiles
Time Frame: After 2 years
|
See if there is a statistical correlation between dietary intake and assigned IBD clinical risk profile.
|
After 2 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: A.E. van der Meulen - de Jong, MD, PhD, Leiden University Medical Centre
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- nWMODIV2_2022020
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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