Multiple Sclerosis Clinical Trial
Official title:
DreaMS - Development of Digital Biomarkers in Multiple Sclerosis - Validation Study 1
Multiple Sclerosis (MS) is a chronic inflammatory disease of the central nervous system (CNS) causing focal lesions of demyelination and diffuse neurodegeneration in the grey and white matter of the brain and spinal cord, leading to physical and cognitive disability. The scientific community and patients are in need for new and more reliable biomarkers, especially biomarkers of disease progression in order to adapt therapeutic approaches on an individual level. Digital biomarkers have the potential to fill this gap allowing for quasi-continuous measures that might be more informative than episodically collected conventional data concerning the impact of the disease on activities of daily living. Using app-based challenges, continuous monitoring and surveys the Investigators aim to obtain data that can be used as digital biomarkers (DB). These digital biomarkers will provide more granular and precise assessments, thus complementing traditional diagnostic measures and techniques. After a first feasibility study (ClinicalTrials.gov: NCT04413032) a number of digital biomarkers have been identified as reliable, reproducible and meaningful to PwMS and are therefore being validated in a bigger cohort of PwMS with a longer follow-up within this validation study 1. Those digital biomarkers will be compared to state-of-the-Art clinical, imaging and body fluid assessment.
Status | Recruiting |
Enrollment | 450 |
Est. completion date | April 2025 |
Est. primary completion date | April 2025 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Age =18 - Diagnosed with MS according to the revised McDonald criteria 2017, all clinical forms inclusive (CIS, RRMS, SPMS, PPMS), for PwMS only - In possession of a Healios+Me App compatible smartphone (iOS/Android) - Corrected close visual acuity of =0.5 - Hand motor skills sufficient for using a smartphone - Ability to follow the study procedures - Informed Consent as documented by signature Exclusion Criteria: - Being diagnosed with MS or other disease affecting neurological and cognitive functions, for HC only - Other clinically significant concomitant disease states (e.g., renal failure, severe hepatic dysfunction, severe/unstable cardiovascular disease, progressive cancer, etc.) - Known or suspected non-compliance, drug or alcohol abuse |
Country | Name | City | State |
---|---|---|---|
Switzerland | MS Center, Department of Neurology University Hospital Basel | Basel |
Lead Sponsor | Collaborator |
---|---|
Research Center for Clinical Neuroimmunology and Neuroscience Basel | Healios AG, Hoffmann-La Roche, Innosuisse - Swiss Innovation Agency, Novartis Pharmaceuticals, University Hospital, Basel, Switzerland, University of Basel |
Switzerland,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Correlation of the digital features with the respective measurements of the clinical reference tests | Spearman correlation coefficients higher than 0.4 (lower bound of 95% confidence interval) are considered relevant. All scheduled pairs of measurements collected during the study will be used. As the yearly observations of a patient are not independent, standard con?dence intervals cannot be used. Therefore, a bootstrap approach will be used to determine a 95% con?dence interval for the Spearman correlations (where data will be resampled on the patient level). | Baseline to last visit (year two) | |
Primary | The ability of measurements of the changes in the digital biomarkers over the two-year follow-up to predict worsening in the clinical reference test over the same period expressed as binary variables | The change of the digital biomarker over two years allows to distinguish patients experiencing a relevant worsening in the corresponding reference test over the same period from those who do not with an area under the receiver operating characteristic curve (AUC) larger than 0.6 (lower bound of 95% confidence interval). | Measurements at baseline and after two years |
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