- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07280871
Clinnova-MS: A Prospective Cohort Study of Patients With Multiple Sclerosis: A Trans-regional Digital Health Effort Unlocking the Potential of Artificial Intelligence and Data Science in Health Care (Clinnova-MS)
The Clinnova-Multiple Sclerosis (MS) study is part of the Clinnova program (NCT06526364; NCT06235684 and NCT05733702), which seeks to advance precision medicine and the digitalization of healthcare through high-quality, interoperable health data.
This program focuses on people with multiple sclerosis (MS) and aims to identify objective surrogate markers derived from clinical, epidemiological, imaging, and omics data that can predict disease activity, such as progression or relapses.
By combining data science and artificial intelligence, the project seeks to improve patient stratification, support personalized therapeutic decisions, and provide insights into the mechanisms underlying treatment response and disease progression.
Although many therapies are available for MS, it remains challenging to determine the most appropriate strategy for each patient and to prevent long-term disability. Current treatments mainly target relapses and inflammation, with limited effects on chronic progression. Clinnova-MS will collect and analyze real-world and research data to better understand variability in disease activity and treatment outcomes, enabling more precise, evidence-based care within the standard of care. This study represents the first step toward the broader Clinnova objective: developing sustainable, personalized, and preventive healthcare for people living with MS.
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Multiple sclerosis (MS) treatments have advanced substantially, yet selecting the most effective therapy and preventing long-term progression remain challenging because of the disease's heterogeneity and variable treatment responses. Current drugs mainly target relapses and inflammation, while only partially protecting against neurodegeneration. Identifying predictive and prognostic biomarkers and improving monitoring are key to more personalized, evidence-based MS care.
Clinnova-MS, part of the Clinnova program, is a prospective, observational cohort designed to explore objective markers of disease activity (progression or relapses) and treatment outcomes using clinical, imaging, molecular, digital, and patient-reported data. Artificial intelligence and data science will be applied to integrate information from sources such as MRI, deep molecular phenotyping, exposome data, Patient Reported Outcome Measures (PROMs)/Patient-Reported Experience Measures (PREMs), and connected devices.
Up to 800 participants with early MS, transitioning to progressive disease, or undergoing treatment change will be enrolled in France, Switzerland, Germany, and Luxembourg (about 100 at Centre Hospitalier du Luxembourg (CHL)). Participants will provide clinical data, biological samples (blood mandatory; other specimens optional), imaging (as per standard care), and digital health information. They will be followed for up to five years, with visits at baseline, 6 months (optional), 12 months, annual follow-up, and unscheduled visits if new symptoms or relapses occur.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Jasmin Schulz, PhD
- Phone Number: 352 26970-265
- Email: Jasmin.Schulz@lih.lu
Study Locations
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-
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Luxembourg, Luxembourg, L-1210
- Centre Hospitalier de Luxembourg
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Contact:
- Myriam CESCUTTI, Dr. MD
- Phone Number: 352 44 11 - 6627
- Email: cescutti.myriam@chl.lu
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Patients with MS as follows:
Diagnosed with MS according to the revised McDonald criteria 2017 or revised McDonald criteria 2024, all clinical forms inclusive (CIS, RRMS, SPMS, PPMS) AND early disease stages (< 3 years), OR presenting at hospital for evaluation of a change in therapy (flare) OR transitioning phase to progressive disease as evaluated based on EDSS.
Description
Inclusion Criteria:
- Signed informed consent form
- ≥ 18 years of age
- Willing and able to comply with the protocol for the duration of the study including data and samples collection as well as study visits and examinations.
- Diagnosed with MS according to the revised McDonald criteria 2017 or revised McDonald criteria 2024, all clinical forms inclusive (CIS, RRMS, SPMS, PPMS) AND early disease stages (< 3 years), OR presenting at hospital for evaluation of a change in therapy (flare) OR transitioning phase to progressive disease as evaluated based on EDSS.
Exclusion Criteria:
- Diagnosis uncertain (no fulfilment of inclusion criteria)
- Any condition that could potentially hamper the compliance with the study protocol, including study procedures and study visits such as mental disability that makes it difficult or impossible to answer questionnaires.
- Not fluent in any of the following languages: French, English or German.
- Known pregnancy before the inclusion into the study
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Single Arm Study
Patients with MS
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Participants will provide data and samples for analysis.
In the first year after inclusion, demographics, lifestyle, labs, and physical exams will be collected at baseline, 6, and 12 months.
Patient-Reported Outcomes (PROs) and challenges will be gathered between visits via the dreaMS app.
Biological samples (blood required; saliva, urine, stool, CSF, hair optional), tissue from endoscopic biopsy, and imaging (if done as standard care) will be taken at baseline, 6, and 12 months.
One unscheduled visit may occur for flares or treatment changes.
From month 12 to 4 years later, yearly medical data, PROs every 6 months, and continuous smartwatch data will be collected.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Identification of Clinical, Imaging, and Omics Signatures for MS Subtype Stratification
Time Frame: 1 year
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Identify clinical, epidemiological, imaging and omics characteristics associated with changes of status for different subtypes of MS patients allowing the stratification of these patients according to similar patterns and disease courses.The primary endpoint will be the change of status of the patients' disease between the baseline and at Year 1.
The status of the disease will be determined by using the No Evidence of Disease Activity (NEDA MS- 3).
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1 year
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Building Resources and Digital Tools to Advance Research and Healthcare in Multiple Sclerosis
Time Frame: 1 year
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The secondary endpoints will be:
|
1 year
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Unraveling Molecular, Cellular, and Clinical Determinants of MS Activity and Progression"
Time Frame: 5 years
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5 years
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Krüger Rejko, Prof. Dr. MD, LIH
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Nervous System Diseases
- Pathologic Processes
- Chronic Disease
- Disease Attributes
- Autoimmune Diseases
- Immune System Diseases
- Demyelinating Autoimmune Diseases, CNS
- Autoimmune Diseases of the Nervous System
- Demyelinating Diseases
- Pathological Conditions, Signs and Symptoms
- Multiple Sclerosis
- Multiple Sclerosis, Relapsing-Remitting
- Multiple Sclerosis, Chronic Progressive
- Health Care Quality, Access, and Evaluation
- Investigative Techniques
- Epidemiologic Methods
- Health Care Evaluation Mechanisms
- Quality of Health Care
- Public Health
- Environment and Public Health
- Epidemiologic Studies
- Epidemiologic Study Characteristics
- Cohort Studies
Other Study ID Numbers
- LUX-CLIN-03
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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