MultiSCRIPT-Cycle 1—a pragmatic trial embedded within the Swiss Multiple Sclerosis Cohort (SMSC) on neurofilament light chain monitoring to inform personalized treatment decisions in multiple sclerosis: a study protocol for a randomized clinical trial
Perrine Janiaud,
Chiara Zecca,
Anke Salmen,
Pascal Benkert,
Sabine Schädelin,
Annette Orleth,
Lilian Demuth,
Aleksandra Maleska Maceski,
Cristina Granziera,
Johanna Oechtering,
David Leppert,
Tobias Derfuss,
Lutz Achtnichts,
Oliver Findling,
Patrick Roth,
Patrice Lalive,
Marjolaine Uginet,
Stefanie Müller,
Caroline Pot,
Robert Hoepner,
Giulio Disanto,
Claudio Gobbi,
Leila Rooshenas,
Matthias Schwenkglenks,
Mark J. Lambiris,
Ludwig Kappos,
Jens Kuhle,
Özgür Yaldizli,
Lars G. Hemkens
Affiliations
Perrine Janiaud
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Chiara Zecca
Neurology Clinic Lugano, Neurocenter of Southern Switzerland
Anke Salmen
Department of Neurology, Ruhr-University Bochum, St. Josef-Hospital
Pascal Benkert
Department of Clinical Research, University Hospital Basel, University of Basel
Sabine Schädelin
Department of Clinical Research, University Hospital Basel, University of Basel
Annette Orleth
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Lilian Demuth
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Aleksandra Maleska Maceski
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Cristina Granziera
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Johanna Oechtering
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
David Leppert
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Tobias Derfuss
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Lutz Achtnichts
Department of Neurology, Cantonal Hospital Aarau
Oliver Findling
Department of Neurology, Cantonal Hospital Aarau
Patrick Roth
Department of Neurology, University Hospital Zurich and University of Zurich
Patrice Lalive
Division of Neurology, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals
Marjolaine Uginet
Division of Neurology, Department of Clinical Neurosciences, Faculty of Medicine, Geneva University Hospitals
Stefanie Müller
Department of Neurology, Cantonal Hospital St
Caroline Pot
Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital (CHUV) and, University of Lausanne
Robert Hoepner
Department of Neurology, Bern University Hospital and University of Bern
Giulio Disanto
Neurology Clinic Lugano, Neurocenter of Southern Switzerland
Claudio Gobbi
Neurology Clinic Lugano, Neurocenter of Southern Switzerland
Leila Rooshenas
Bristol Population Health Science Institute, University of Bristol
Matthias Schwenkglenks
Health Economics Facility, Department of Public Health, University of Basel
Mark J. Lambiris
Health Economics Facility, Department of Public Health, University of Basel
Ludwig Kappos
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Jens Kuhle
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Özgür Yaldizli
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Lars G. Hemkens
Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel, University of Basel
Abstract Background Treatment decisions for persons with relapsing–remitting multiple sclerosis (RRMS) rely on clinical and radiological disease activity, the benefit-harm profile of drug therapy, and preferences of patients and physicians. However, there is limited evidence to support evidence-based personalized decision-making on how to adapt disease-modifying therapy treatments targeting no evidence of disease activity, while achieving better patient-relevant outcomes, fewer adverse events, and improved care. Serum neurofilament light chain (sNfL) is a sensitive measure of disease activity that captures and prognosticates disease worsening in RRMS. sNfL might therefore be instrumental for a patient-tailored treatment adaptation. We aim to assess whether 6-monthly sNfL monitoring in addition to usual care improves patient-relevant outcomes compared to usual care alone. Methods Pragmatic multicenter, 1:1 randomized, platform trial embedded in the Swiss Multiple Sclerosis Cohort (SMSC). All patients with RRMS in the SMSC for ≥ 1 year are eligible. We plan to include 915 patients with RRMS, randomly allocated to two groups with different care strategies, one of them new (group A) and one of them usual care (group B). In group A, 6-monthly monitoring of sNfL will together with information on relapses, disability, and magnetic resonance imaging (MRI) inform personalized treatment decisions (e.g., escalation or de-escalation) supported by pre-specified algorithms. In group B, patients will receive usual care with their usual 6- or 12-monthly visits. Two primary outcomes will be used: (1) evidence of disease activity (EDA3: occurrence of relapses, disability worsening, or MRI activity) and (2) quality of life (MQoL-54) using 24-month follow-up. The new treatment strategy with sNfL will be considered superior to usual care if either more patients have no EDA3, or their health-related quality of life increases. Data collection will be embedded within the SMSC using established trial-level quality procedures. Discussion MultiSCRIPT aims to be a platform where research and care are optimally combined to generate evidence to inform personalized decision-making in usual care. This approach aims to foster better personalized treatment and care strategies, at low cost and with rapid translation to clinical practice. Trial registration ClinicalTrials.gov NCT06095271. Registered on October 23, 2023