Skip to main content
Log in

Late-onset multiple sclerosis: disability trajectories in relapsing–remitting patients of the Italian MS Registry

  • Original Communication
  • Published:
Journal of Neurology Aims and scope Submit manuscript

Abstract

Background

Generally infrequent, multiple sclerosis (MS) with late onset (LOMS) is characterized by an onset over the age of 50 and a mainly progressive course, while relapsing–remitting (RR) forms are less frequently observed and explored. This study aimed to characterize a large cohort of MS patients with RRMS at onset to assess the baseline factors related to the worst disability trajectories and explore the role of LOMS.

Methods

The data were extracted from the Italian MS Register (IMSR). Disability trajectories, defined using at least two and up to twenty expanded disability status scale (EDSS) assessments annually performed, were implemented using group-based trajectory models (GBTMs) to identify different groups with the same trajectories over time. MS profiles were explored using multinomial logistic regression.

Results

A total of 16,159 RR patients [1012 (6.26%) presented with LOMS] were analyzed. The GBTM identified four disability trajectories. The group with the most severe EDSS trend included 12.3% of the patients with a mean EDSS score > 4, which increased over time and exceeded 6 score. The group with medium severity EDSS trend comprised 21.9% of the patients and showed a change in EDSS > 3 scores over time. The largest group with 50.8% of patients reported a constant EDSS of 2 score. Finally, the benign group comprised 14.9% of the patients with a low and constant EDSS of 1 score over time. The probability of being in the worst groups increased if the patient was male; had LOMS or experienced brainstem, spinal, or supratentorial symptoms.

Conclusions

Four MS severity profiles among RRMS patients in the IMSR have been reported, with LOMS being associated with a rapid worsening of EDSS scores. These findings have important implications for recognizing and managing how older age, aging, and age-related factors interact with MS and its evolution.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Data availability

Anonymized data, not published in the article, will be shared on reasonable request from a qualified investigator.

References

  1. Dobson R, Giovannoni G (2019) Multiple sclerosis—a review. Eur J Neurol 26(1):27–40

    Article  CAS  PubMed  Google Scholar 

  2. Koch-Henriksen N, Thygesen LC, Stenager E, Laursen B, Magyari M (2018) Incidence of MS has increased markedly over six decades in Denmark particularly with late onset and in women. Neurology 90(22):e1954–e1963

    Article  PubMed  Google Scholar 

  3. Prosperini L, Lucchini M, Ruggieri S, Tortorella C, Haggiag S, Mirabella M, Pozzilli C, Gasperini C (2022) Shift of multiple sclerosis onset towards older age. J Neurol Neurosurg Psychiatry. https://doi.org/10.1136/jnnp-2022-329049.

    Article  PubMed  Google Scholar 

  4. Vaughn CB, Jakimovski D, Kavak KS et al (2019) Epidemiology and treatment of multiple sclerosis in elderly populations. Nat Rev Neurol 15(6):329–342

    Article  PubMed  Google Scholar 

  5. Naseri A, Nasiri E, Sahraian MA, Daneshvar S, Talebi M (2021) Clinical features of late-onset multiple sclerosis: a systematic review and meta-analysis. Mult Scler Relat Disord 50:102816

    Article  PubMed  Google Scholar 

  6. Lotti CBC, Oliveira ASB, Bichuetti DB, Castro I, Oliveira EML (2017) Late onset multiple sclerosis: concerns in aging patients. Arq Neuropsiquiatr 75(7):451–456

    Article  PubMed  Google Scholar 

  7. Tremlett H, Devonshire V (2006) Is late-onset multiple sclerosis associated with a worse outcome? Neurology 67(6):954–959

    Article  PubMed  Google Scholar 

  8. Confavreux C, Vukusic S (2006) Natural history of multiple sclerosis: a unifying concept. Brain 129(Pt 3):606–616

    Article  PubMed  Google Scholar 

  9. Cree BA, Gourraud PA, Oksenberg JR et al (2016) Long-term evolution of multiple sclerosis disability in the treatment era. Ann Neurol 80(4):499–510

    Article  PubMed  PubMed Central  Google Scholar 

  10. Lublin FD, Häring DA, Ganjgahi H et al (2022) How patients with multiple sclerosis acquire disability. Brain 145(9):3147–3161

    Article  PubMed  PubMed Central  Google Scholar 

  11. Graves JS, Krysko KM, Hua LH, Absinta M, Franklin RJM, Segal BM (2023) Ageing and multiple sclerosis. Lancet Neurol 22(1):66–77

    Article  PubMed  Google Scholar 

  12. Trojano M, Bergamaschi R, Amato MP et al (2019) The Italian multiple sclerosis register. Neurol Sci 40(1):155–165

    Article  PubMed  Google Scholar 

  13. Lublin FD, Reingold SC, Cohen JA et al (2014) Defining the clinical course of multiple sclerosis: the 2013 revisions. Neurology 83(3):278–286

    Article  PubMed  PubMed Central  Google Scholar 

  14. Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology 33(11):1444–1452

    Article  CAS  PubMed  Google Scholar 

  15. Nagin DS (2014) Group-based trajectory modeling: an overview. Ann Nutr Metab 65(2–3):205–210

    Article  CAS  PubMed  Google Scholar 

  16. Jones BL, Nagin DS (2013) A note on a Stata plugin for estimating group-based trajectory models. Sociol Methods Res 42:608–613

    Article  Google Scholar 

  17. Roxburgh RH, Seaman SR, Masterman T et al (2005) Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity. Neurology 64(7):1144–1151. https://doi.org/10.1212/01.WNL.0000156155.19270.F8

    Article  CAS  PubMed  Google Scholar 

  18. Tur C, Moccia M, Barkhof F et al (2018) Assessing treatment outcomes in multiple sclerosis trials and in the clinical setting. Nat Rev Neurol 14(2):75–93

    Article  PubMed  Google Scholar 

  19. Lynch S, Baker S, Nashatizadeh M, Thuringer A, Thelen J, Bruce J (2021) Disability measurement in Multiple Sclerosis patients 55 years and older: what is the Expanded Disability Status Scale really telling clinicians? Mult Scler Relat Disord 49:102724

    Article  PubMed  Google Scholar 

  20. Ostolaza A, Corroza J, Ayuso T (2021) Multiple sclerosis and aging: comorbidity and treatment challenges. Mult Scler Relat Disord 50:102815

    Article  PubMed  Google Scholar 

  21. Lorefice L, Frau J, Coghe G, Pitzalis R et al (2019) Assessing the burden of vascular risk factors on brain atrophy in multiple sclerosis: a case- control MRI study. Mult Scler Relat Disord. 27:74–78

    Article  CAS  PubMed  Google Scholar 

  22. Sanai SA, Saini V, Benedict RH et al (2016) Aging and multiple sclerosis. Mult Scler 22(6):717–725

    Article  PubMed  Google Scholar 

  23. Makhani N, Tremlett H (2021) The multiple sclerosis prodrome. Nat Rev Neurol 17(8):515–521

    Article  PubMed  PubMed Central  Google Scholar 

  24. Deems NP, Leuner B (2020) Pregnancy, postpartum and parity: resilience and vulnerability in brain health and disease. Front Neuroendocrinol 57:100820

    Article  PubMed  PubMed Central  Google Scholar 

  25. Magyari M (2016) Gender differences in multiple sclerosis epidemiology and treatment response. Dan Med J 63(3):B5212

    PubMed  Google Scholar 

  26. D’Amico E, Patti F, Zanghì A, Chisari CG, Lo Fermo S, Zappia M (2018) Late-onset and young-onset relapsing-remitting multiple sclerosis: evidence from a retrospective long-term follow-up study. Eur J Neurol 25(12):1425–1431

    Article  CAS  PubMed  Google Scholar 

  27. Magyari M, Koch-Henriksen N (2022) Quantitative effect of sex on disease activity and disability accumulation in multiple sclerosis. J Neurol Neurosurg Psychiatry 93(7):716–722

    Article  PubMed  Google Scholar 

  28. Giefing-Kröll C, Berger P, Lepperdinger G, Grubeck-Loebenstein B (2015) How sex and age affect immune responses, susceptibility to infections, and response to vaccination. Aging Cell 14(3):309–321

    Article  PubMed  PubMed Central  Google Scholar 

  29. Tiftikcioglu BI, Ilgezdi I, Zorlu Y, Sener U, Tokucoglu F (2018) Long-term disability and progression in spinal onset multiple sclerosis. Acta Neurol Belg 118(2):217–225

    Article  PubMed  Google Scholar 

  30. Signori A, Izquierdo G, Lugaresi A et al (2018) Long-term disability trajectories in primary progressive MS patients: A latent class growth analysis. Mult Scler 24(5):642–652

    Article  PubMed  Google Scholar 

  31. Signori A, Lorscheider J, Vukusic S et al (2023) Heterogeneity on long-term disability trajectories in patients with secondary progressive MS: a latent class analysis from Big MS Data network. J Neurol Neurosurg Psychiatry 94(1):23–30

    Article  PubMed  Google Scholar 

  32. Portaccio E, Bellinvia A, Fonderico M et al (2022) Progression is independent of relapse activity in early multiple sclerosis: a real-life cohort study. Brain 145(8):2796–2805

    Article  PubMed  Google Scholar 

  33. Amato MP, Fonderico M, Portaccio E et al (2020) Disease-modifying drugs can reduce disability progression in relapsing multiple sclerosis. Brain 143(10):3013–3024

    Article  PubMed  Google Scholar 

  34. Iaffaldano P, Lucisano G, Caputo F, Italian MS Register et al (2021) Long-term disability trajectories in relapsing multiple sclerosis patients treated with early intensive or escalation treatment strategies. Ther Adv Neurol Disord 14:17562864211019574

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Weideman AM, Tapia-Maltos MA, Johnson K, Greenwood M, Bielekova B (2017) Meta-analysis of the age-dependent efficacy of multiple sclerosis treatments. Front Neurol 8:577

    Article  PubMed  PubMed Central  Google Scholar 

  36. Buscarinu MC, Reniè R, Morena E et al (2022) Late-onset MS: Disease course and safety-efficacy of DMTS. Front Neurol 13:829331

    Article  PubMed  PubMed Central  Google Scholar 

  37. Thompson AJ, Banwell BL, Barkhof F et al (2018) Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria. Lancet Neurol 17(2):162–173

    Article  PubMed  Google Scholar 

  38. Polman CH, Reingold SC, Edan G et al (2005) Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald Criteria.” Ann Neurol 58(6):840–846

    Article  PubMed  Google Scholar 

  39. Polman CH, Reingold SC, Banwell B et al (2011) Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 69(2):292–302

    Article  PubMed  PubMed Central  Google Scholar 

  40. Hauser SL, Cree BAC (2020) Treatment of multiple sclerosis: a review. Am J Med 133(12):1380-1390.e2

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

Acknowledgments to Emilio Portaccio and Luca Prosperini for support to the realization of this study.

Funding

No funding.

Author information

Authors and Affiliations

Authors

Consortia

Contributions

Lorefice L conceptualized the study and drafted the manuscript. Ferraro O., Monti MC made the statistical analyses and drafted the manuscript. Cocco E. supervised the study, drafted and revised the manuscript. All other authors collected the data, drafted and revised the manuscript.

Corresponding author

Correspondence to Lorena Lorefice.

Ethics declarations

Conflict of interest

All authors have nothing to disclose related to the submitted article.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOC 30 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lorefice, L., Ferraro, O.E., Fenu, G. et al. Late-onset multiple sclerosis: disability trajectories in relapsing–remitting patients of the Italian MS Registry. J Neurol 271, 1630–1637 (2024). https://doi.org/10.1007/s00415-023-12152-9

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00415-023-12152-9

Keywords

Navigation