Treatment De-escalation in Relapsing-Remitting Multiple Sclerosis: An Observational Study
Jazyk angličtina Země Nový Zéland Médium print-electronic
Typ dokumentu časopisecké články, pozorovací studie, multicentrická studie
Grantová podpora
P500PM_214230
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
P5R5PM_225288
Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
2026836
National Health and Medical Research Council
PubMed
39953338
PubMed Central
PMC11909097
DOI
10.1007/s40263-025-01164-w
PII: 10.1007/s40263-025-01164-w
Knihovny.cz E-zdroje
- MeSH
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- relabující-remitující roztroušená skleróza * farmakoterapie MeSH
- retrospektivní studie MeSH
- výsledek terapie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- multicentrická studie MeSH
- pozorovací studie MeSH
BACKGROUND: In relapsing-remitting multiple sclerosis (RRMS), extended exposure to high-efficacy disease modifying therapy may increase the risk of side effects, compromise treatment adherence, and inflate medical costs. Treatment de-escalation, here defined as a switch to a lower efficacy therapy, is often considered by patients and physicians, but evidence to guide such decisions is scarce. In this study, we aimed to compare clinical outcomes between patients who de-escalated therapy versus those who continued their therapy. METHODS: In this retrospective analysis of data from an observational, longitudinal cohort of 87,239 patients with multiple sclerosis (MS) from 186 centers across 43 countries, we matched treatment episodes of adult patients with RRMS who underwent treatment de-escalation from either high- to medium-, high- to low-, or medium- to low-efficacy therapy with counterparts that continued their treatment, using propensity score matching and incorporating 11 variables. Relapses and 6-month confirmed disability worsening were assessed using proportional and cumulative hazard models. RESULTS: Matching resulted in 876 pairs (de-escalators: 73% females, median [interquartile range], age 40.2 years [33.6, 48.8], Expanded Disability Status Scale [EDSS] 2.5 [1.5, 4.0]; non-de-escalators: 73% females, age 40.8 years [35.5, 47.9], and EDSS 2.5 [1.5, 4.0]), with a median follow-up of 4.8 years (IQR 3.0, 6.8). Patients who underwent de-escalation faced an increased hazard of future relapses (hazard ratio 2.36 and 95% confidence intervals [CI] [1.79-3.11], p < 0.001), which was confirmed when considering recurrent relapses (2.43 [1.97-3.00], p < 0.001). It was also consistent across subgroups stratified by age, sex, disability, disease duration, and time since last relapse. CONCLUSIONS: On the basis of this observational analysis, de-escalation may not be recommended as a universal treatment strategy in RRMS. The decision to de-escalate should be considered on an individual basis, as its safety is not clearly guided by specific patient or disease characteristics evaluated in this study.
Azienda Ospedaliera di Rilievo Nazionale San Giuseppe Moscati Avellino Avellino Italy
Brain and Mind Centre Sydney Australia
CHUM MS Center Universite de Montreal Montreal Canada
CISSS Chaudière Appalache Levis Canada
CORe Department of Medicine University of Melbourne Melbourne VIC 3000 Australia
CSSS Saint Jérôme Saint Jerome QC Canada
Department of Medical and Surgical Sciences and Advanced Technologies GF Ingrassia Catania Italy
Department of Neurology Box Hill Hospital Melbourne Australia
Department of Neurology Hospital Universitario Virgen Macarena Sevilla Spain
Department of Neurology The Alfred Hospital Melbourne Australia
Department of Neurosciences Box Hill Hospital Melbourne Australia
Division of Neurology Department of Medicine Amiri Hospital Sharq Kuwait
Hospital Universitario Donostia San Sebastián Spain
Hunter Medical Research Institute University Newcastle Newcastle Australia
Neuro Rive Sud Longueuil QC Canada
Neuroimmunology Centre Department of Neurology Royal Melbourne Hospital Melbourne Australia
Neurology Institute Harley Street Medical Center Abu Dhabi UAE
Neurology Unit P O Unico Macerata ast Macerata Macerata Italy
Zobrazit více v PubMed
Hauser SL, Cree BAC. Treatment of multiple sclerosis: a review. Am J Med. 2020;133(12):1380–90. PubMed PMC
Brown JWL, Coles A, Horakova D, et al. Association of initial disease-modifying therapy with later conversion to secondary progressive multiple sclerosis. JAMA. 2019;321(2):175–87. PubMed PMC
Buron MD, Chalmer TA, Sellebjerg F, et al. Initial high-efficacy disease-modifying therapy in multiple sclerosis: a nationwide cohort study. Neurology. 2020;95(8):e1041–51. PubMed
He A, Merkel B, Brown JWL, et al. Timing of high-efficacy therapy for multiple sclerosis: a retrospective observational cohort study. Lancet Neurol. 2020;19(4):307–16. PubMed
Simonsen CS, Flemmen HO, Broch L, et al. Early high efficacy treatment in multiple sclerosis is the best predictor of future disease activity over 1 and 2 years in a Norwegian population-based registry. Front Neurol. 2021;12: 693017. PubMed PMC
Tallantyre EC, Whittam DH, Jolles S, et al. Secondary antibody deficiency: a complication of anti-CD20 therapy for neuroinflammation. J Neurol. 2018;265(5):1115–22. PubMed PMC
Luna G, Alping P, Burman J, et al. Infection risks among patients with multiple sclerosis treated with fingolimod, natalizumab, rituximab, and injectable therapies. JAMA Neurol. 2020;77(2):184–91. PubMed PMC
Vollmer BL, Wolf AB, Sillau S, Corboy JR, Alvarez E. Evolution of disease modifying therapy benefits and risks: an argument for de-escalation as a treatment paradigm for patients with multiple sclerosis. Front Neurol. 2021;12: 799138. PubMed PMC
Gross RH, Corboy JR. Monitoring, switching, and stopping multiple sclerosis disease-modifying therapies. Continuum (Minneap Minn). 2019;25(3):715–35. PubMed
Bsteh G, Hegen H, Riedl K, et al. Quantifying the risk of disease reactivation after interferon and glatiramer acetate discontinuation in multiple sclerosis: the VIAADISC score. Eur J Neurol. 2021;28(5):1609–16. PubMed PMC
Kobelt G, Berg J, Atherly D, Hadjimichael O. Costs and quality of life in multiple sclerosis: a cross-sectional study in the United States. Neurology. 2006;66(11):1696–702. PubMed
Hartung DM. Health economics of disease-modifying therapy for multiple sclerosis in the United States. Ther Adv Neurol Disord. 2021;14:1756286420987031. PubMed PMC
Kister I, Spelman T, Alroughani R, et al. Discontinuing disease-modifying therapy in MS after a prolonged relapse-free period: a propensity score-matched study. J Neurol Neurosurg Psychiatry. 2016;87(10):1133–7. PubMed
Coerver EME, Bourass A, Wessels MHJ, et al. Discontinuation of first-line disease-modifying therapy in relapse onset multiple sclerosis. Mult Scler Relat Disord. 2023;74: 104706. PubMed
Corboy JR, Fox RJ, Kister I, et al. Risk of new disease activity in patients with multiple sclerosis who continue or discontinue disease-modifying therapies (DISCOMS): a multicentre, randomised, single-blind, phase 4, non-inferiority trial. Lancet Neurol. 2023;22(7):568–77. PubMed
Jouvenot G, Courbon G, Lefort M, et al. High-efficacy therapy discontinuation versus continuation in patients 50 years and older with nonactive MS. JAMA Neurol. 2024;81(5):490–8. PubMed PMC
Roos I, Malpas C, Leray E, et al. Disease reactivation after cessation of disease-modifying therapy in patients with relapsing-remitting multiple sclerosis. Neurology. 2022;99(17):e1926–44. PubMed PMC
Poser CM, Paty DW, Scheinberg L, et al. New diagnostic criteria for multiple sclerosis: guidelines for research protocols. Ann Neurol. 1983;13(3):227–31. PubMed
Roos I, Leray E, Casey R, et al. Effects of high- and low-efficacy therapy in secondary progressive multiple sclerosis. Neurology. 2021;97(9):e869–80. PubMed
Confavreux C, Vukusic S, Moreau T, Adeleine P. Relapses and progression of disability in multiple sclerosis. N Engl J Med. 2000;343(20):1430–8. PubMed
Muller J, Cagol A, Lorscheider J, et al. Harmonizing definitions for progression independent of relapse activity in multiple sclerosis: a systematic review. JAMA Neurol 2023. PubMed
C A. Mean difference, standardized mean difference (SMD), and their use in meta-analysis: as simple as it gets. J Clin Psychiatry 2020; 81(5):20 PubMed
Lefort M, Sharmin S, Andersen JB, et al. Impact of methodological choices in comparative effectiveness studies: application in natalizumab versus fingolimod comparison among patients with multiple sclerosis. BMC Med Res Methodol. 2022;22(1):155. PubMed PMC
Freedman MS, Devonshire V, Duquette P, et al. Treatment optimization in multiple sclerosis: Canadian MS working group recommendations. Can J Neurol Sci. 2020;47(4):437–55. PubMed
Salavisa M, Serrazina F, Ladeira AF, Correia AS. Discontinuation of disease-modifying therapy in MS patients over 60 years old and its impact on relapse rate and disease progression. Clin Neurol Neurosurg. 2023;225: 107612. PubMed
Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behav Brain Res. 2001;125(1–2):279–84. PubMed
Havla J, Gerdes LA, Meinl I, et al. De-escalation from natalizumab in multiple sclerosis: recurrence of disease activity despite switching to glatiramer acetate. J Neurol. 2011;258(9):1665–9. PubMed
Havla J, Tackenberg B, Hellwig K, et al. Fingolimod reduces recurrence of disease activity after natalizumab withdrawal in multiple sclerosis. J Neurol. 2013;260(5):1382–7. PubMed
Cohan SL, Moses H, Calkwood J, et al. Clinical outcomes in patients with relapsing-remitting multiple sclerosis who switch from natalizumab to delayed-release dimethyl fumarate: a multicenter retrospective observational study (STRATEGY). Mult Scler Relat Disord. 2018;22:27–34. PubMed
Kister I, Spelman T, Patti F, et al. Predictors of relapse and disability progression in MS patients who discontinue disease-modifying therapy. J Neurol Sci. 2018;391:72–6. PubMed
Kalincik T, Roos I, Sharmin S. Observational studies of treatment effectiveness in neurology. Brain. 2023;146(12):4799–808. PubMed PMC
Salas M, Hofman A, Stricker BH. Confounding by indication: an example of variation in the use of epidemiologic terminology. Am J Epidemiol. 1999;149(11):981–3. PubMed