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This observational study wants to examine the disease progression independent of relapses in patients with Multiple Sclerosis (MS) that are treated with monoclonal antibodies. Participants will be clinically examined every 6 months and optionally receive a magnetic resonance imaging (MRI) every 12 months. The investigators will also take blood for blood biomarker tests with each clinical examination. Optionally, digital data can be continuously collected via smartphone and smartwatch. With this information the study will compare the results from clinical, digital, radiological, and blood-based tests with the disease progression the participants report themselves. This study aims to investigate what percentage auf patients with MS under antibody treatment experience a slow progression of the disease.
The goal of this observational prospective, observational, multicenter proof of concept study is to identify silent disease progression in people with multiple sclerosis (MS) that are treated with monoclonal antibodies. Progression independent of relapse activity (PIRA) refers to disability progression unrelated to relapses. Treatment with disease-modifying agent shifts the primary cause of disability towards PIRA, likely due to the prevention of relapses during therapy. In order to promptly identify these patients in the future, newer biomarkers are needed that can detect disease activity more sensitively. Digital health technologies (DHTs), such as connected wearables, offer the capability of continuously collecting real-life data. As they can capture movement patterns, sleep behavior, and cognition, DHTs can document silent disease progression in MS patients and have the potential to enhance our understanding of disease activity. The goal of the 360 PMS (progressive Multiple Sclerosis) study is to evaluate various widely available smartwatch-derived digital metrics and blood-based analyses as well as imaging tools for monitoring silent disease activity in MS patients at two study centres. Patients with relapsing remitting or primary progressive MS that are treated with monoclonal antibodies and do not have an Expanded Disability Status Scale (EDSS) of more than 7,0 will be included in this study. Clinical evaluations will be conducted every 6 months, as well as blood-based measurements that include serum neurofilament-light-chain (sNfL), glial fibrillary acidic protein (GFAP) and proteomic data. Data captured by smartwatches (Withings Scanwatch) include activity-related data (step count, minutes in certain intensity levels), basic cardiovascular measurements such as heart rate, and sleep-related data (total time asleep, sleep efficiency and quality etc.). Additionally, disease progression can be optionally evaluated by monitoring fine motor skills while typing on the smartphone by a smartphone application (Neurokeys). The study will initially start at the core centre at the University Clinic Düsseldorf and plans to enrol further sites in the months following initiation. Further centers might not include optical coherence tomography (OCT) or MRI measurements. At the core facility additional examinations will be conducted: Structural MRI examinations will be conducted at baseline and in month 12 and 24. OCT measurements will examine retinal morphology and be conducted every 6 months. The investigators will attempt to closely analyze MS patients under treatment with monoclonal antibodies with these methods. Data will be collected for a 24-month prospective period.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
No
University Hospital Düsseldorf, Department of Neurology
Düsseldorf, North Rhine-Westphalia, Germany
Start Date
June 20, 2024
Primary Completion Date
October 1, 2027
Completion Date
December 1, 2027
Last Updated
July 15, 2024
77
ESTIMATED participants
Marc Günter Pawlitzki, PD Dr. med.
CONTACT
+49 02118117887MarcGuenter.Pawlitzki@med.uni-duesseldorf.deLead Sponsor
Heinrich-Heine University, Duesseldorf
NCT06276634
NCT07225504
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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View ClinicalTrials.gov Terms and ConditionsNCT06809192