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Clinical Trial Summary

The study will attempt to closely analyze Multiple Sclerosis (MS) patients after de-escalating or discontinuation of immunotherapy using clinical monitoring as well as digital and serological biomarkers in order to detect clinical progression or disease activity. As this is an observational study, it aims to closely follow-up on patients where the clinical decision to de-escalate or end treatment has been independently made. Specifically, we want to find out to what extent patients will show increased disease activity after de-escalation/discontinuation from high-efficacy treatment (HET) and which measurement method (clinical, digital, serological) retrospectively reflects the disease activity most closely or detects it most sensitively.


Clinical Trial Description

Due to the increasing scientific efforts in recent years, a variety of HET are now available for patients with MS. In addition to long-term clinical assessment, monitoring by means of magnetic resonance imaging (MRI) has also become increasingly established. No evidence of disease activity under appropriate immunotherapy has thus been defined in a wide variety of concepts using clinical and MRI parameters. These medical achievements have positively influenced the natural course of MS, especially by significantly reducing the relapse activity. In contrast, however, the risk of potential complications under long-term immunotherapy should not be underestimated. This concerns in particular infection risks but also an increased malignancy risk for various, mostly highly effective immunotherapies. Therefore, the question increasingly arises in clinical practice as to what extent HET should be continued or should be de-escalated in case of long-term disease course. As patients and doctors take clinical decision to de-escalate their therapies, often after many years of little or even no disease activity, the central question of how to best monitor patients subsequently remains. Digital smartwatch-based measurements or app-based regular assessments could add high-frequency real-world data to the picture and thus improve the understanding of individual disease courses. Additionally, novel serological markers to detect neuronal damage are becoming more widely available. Consequently, this study aims to evaluate different digital measurements and blood-based analyses to monitor disease activity in MS patients, which have independently with their treating physicians decided to discontinue or de-escalate their disease-modifying treatment of MS. Data captured by the used smartwatches (Withings Scanwatch) includes 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.). Blood-based measurements include serum neurofilament-light-chain (sNfL), glial fibrillary acidic protein (GFAP) and proteomic data. The investigators will attempt to closely analyze MS patients after de-escalating or discontinuation of immunotherapy using digital and serological biomarkers in order to detect possible increased disease activity. In addition to clinical assessment, structural MRI examinations will be optionally conducted in patients from core center at baseline and in month 12 and 24. Measurement parameters from clinical MRI examinations (lesion load) are also taken into account from the other study centers. In addition to that, patients from core center will undergo an Optical coherence tomography (OCT) measurement. OCT is a non-invasive, interferometric method that allows for detailed visualization of retinal morphology and is known to reveal abnormalities in various central nervous system (CNS) disorders. Data will be collected for a 24-month prospective period. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT06461481
Study type Observational
Source Heinrich-Heine University, Duesseldorf
Contact Marc Günter Pawlitzki, PD Dr. med.
Phone +49 02118117887
Email MarcGuenter.Pawlitzki@med.uni-duesseldorf.de
Status Recruiting
Phase
Start date June 15, 2024
Completion date December 31, 2026

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