Personalized treatment decision algorithms for the clinical application of serum neurofilament light chain in multiple sclerosis: A modified Delphi Study
Jazyk angličtina Země Anglie, Velká Británie Médium print-electronic
Typ dokumentu časopisecké články
PubMed
40296363
PubMed Central
PMC12228887
DOI
10.1177/13524585251335466
Knihovny.cz E-zdroje
- Klíčová slova
- Delphi study, de-escalation, escalation, personalized treatment strategies, serum neurofilament light chain,
- MeSH
- algoritmy * MeSH
- delfská metoda MeSH
- dospělí MeSH
- imunologické faktory * terapeutické užití MeSH
- individualizovaná medicína * metody MeSH
- klinické rozhodování * metody MeSH
- konsensus MeSH
- lidé středního věku MeSH
- lidé MeSH
- neurofilamentové proteiny * krev MeSH
- roztroušená skleróza * krev farmakoterapie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Názvy látek
- imunologické faktory * MeSH
- neurofilament protein L MeSH Prohlížeč
- neurofilamentové proteiny * MeSH
BACKGROUND: Serum neurofilament light (sNfL) chain levels, a sensitive measure of disease activity in multiple sclerosis (MS), are increasingly considered for individual therapy optimization yet without consensus on their use for clinical application. OBJECTIVE: We here propose treatment decision algorithms incorporating sNfL levels to adapt disease-modifying therapies (DMTs). METHODS: We conducted a modified Delphi study to reach consensus on algorithms using sNfL within typical clinical scenarios. sNfL levels were defined as "high" (>90th percentile) vs "normal" (<80th percentile), based on normative values of control persons. In three rounds, 10 international and 18 Swiss MS experts, and 3 patient consultants rated their agreement on treatment algorithms. Consensus thresholds were defined as moderate (50%-79%), broad (80%-94%), strong (≥95%), and full (100%). RESULTS: The Delphi provided 9 escalation algorithms (e.g. initiating treatment based on high sNfL), 11 horizontal switch (e.g. switching natalizumab to another high-efficacy DMT based on high sNfL), and 3 de-escalation (e.g. stopping DMT or extending intervals in B-cell depleting therapies). CONCLUSION: The consensus reached on typical clinical scenarios provides the basis for using sNfL to inform treatment decisions in a randomized pragmatic trial, an important step to gather robust evidence for using sNfL to inform personalized treatment decisions in clinical practice.
Department of Clinical Research University Hospital Basel University of Basel Basel Switzerland
Department of Neurology Bern University Hospital University of Bern Bern Switzerland
Department of Neurology Cantonal Hospital Aarau Aarau Switzerland
Department of Neurology Karolinska University Hospital Stockholm Sweden
Department of Neurology Klinikum rechts der Isar Technical University of Munich Munich Germany
Department of Neurology Medical University of Graz Graz Austria
Department of Neurology Ruhr University Bochum St Josef Hospital Bochum Germany
Department of Neurology University Hospital Basel University of Basel Basel Switzerland
Department of Neurology University Hospital Zurich University of Zurich Zurich Switzerland
Department of Neurology University Hospital Zurich Zurich Switzerland
Department of Neurology University of Regensburg Regensburg Germany
Department of Neurology University Teaching and Research Hospital St Gallen St Gallen Switzerland
Division of Neurology Department of Internal Medicine Bürgerspital Solothurn Solothurn Switzerland
Faculty of Biomedical Sciences Università della Svizzera Italiana Lugano Switzerland
Institute of Pharmacology and Toxicology University of Zurich Zurich Switzerland
Multiple Sclerosis Centre of Catalonia Vall d'Hebron Barcelona Hospital Barcelona Spain
Multiple Sclerosis Centre University Hospital Basel Basel Switzerland
Neuroimmunology Unit Center for Molecular Medicine Karolinska Institute Stockholm Sweden
Neurologic Clinic and Policlinic MS Centre University Hospital Basel Basel Switzerland
Neurozentrum Oberaargau Langenthal Switzerland
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