Cited by 279Multiple Sclerosis Research StudiesPolyomavirus and related diseasesPsoriasis: Treatment and Pathogenesis

Age and disability accumulation in multiple sclerosis

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Scalfari, A., Neuhaus, A., Daumer, M., Ebers, G.C., Muraro, P.A.·2011·Neurology

Abstract

OBJECTIVES: We tested the hypothesis that age is a prognostic factor with respect to long-term accumulation of disability in multiple sclerosis (MS). METHODS: Kaplan-Meier analysis and binary logistic regression models determined the effect of age at disease onset, age at onset of progression, and current age on attainment of severe disability levels (Disability Status Scale [DSS] 6-8-10) from the London, Ontario, database (n = 1,023). RESULTS: Older age at relapsing-remitting (RR) phase onset was associated with higher risk of reaching advanced DSS scores. This was independent of disease duration and early relapse frequency but secondary to increased risk of conversion to secondary progressive (SP) MS. Onset at age 40 (odds ratio [OR] = 4.22) and at age 50 (OR = 6.04) doubled and tripled risks of developing SP, compared to age 20 (OR = 2.05). Younger age at conversion to SPMS was associated with shorter times to high DSS scores from disease onset. The progressive course, unaffected by age at RR onset, was only modestly affected by age at SP onset. Among primary progressive and RR/SP patients, median ages at attainment of DSS scores were strikingly similar: DSS = 6, 49 vs 48 years; DSS = 8, 58 vs 58 years; and DSS = 10, 78 years for both (p = NS for all comparisons). CONCLUSIONS: Development of SP is the dominant determinant of long-term prognosis, independent of disease duration and early relapse frequency. Age independently affects disability development primarily by changing probability and latency of SP onset, with little effect on the progressive course.

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  • Age is the strongest predictor for the transition from the relapsing phase of multiple sclerosis to the secondary progressive phase.

    “Age is the strongest predictor for the transition from the relapsing phase of MS, which is primarily inflammatory to the secondary progressive phase of the disease, which is thought to be mainly neurodegenerative [10,11].”

    From Ageing, Cellular Senescence and Neurodegenerative Disease (2018) · cites this paper as [11]

  • Epidemiological evidence suggests that age is the most important determinant for the transition to the progressive phase of MS.

    “Epidemiological evidence suggests that age is the most important determinant for the transition to the progressive phase of MS [11].”

    From Ageing, Cellular Senescence and Neurodegenerative Disease (2018) · cites this paper as [11]

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Research works printed but not linked: 25

  1. Hawkins SA, McDonnell GV. Benign multiple sclerosis? Clinical course, long term follow up, and assessment of prognostic factors. J Neurol Neurosurg Psychiatry 1999; 67:148 -152.
  2. Ramsaransing GS, De Keyser J. Benign course in multiple sclerosis: a review. Acta Neurol Scand 2006;113:359 -369.
  3. Lublin FD, Reingold SC. Defining the clinical course of multiple sclerosis: results of an international survey: Na- tional Multiple Sclerosis Society (USA) Advisory Commit- tee on Clinical Trials of New Agents in Multiple Sclerosis Neurology 1996;46:907-911.
  4. Confavreux C, Vukusic S, Moreau T, Adeleine P. Relapses and progression of disability in multiple sclerosis. N Engl J Med 2000;343:1430 -1438.
  5. Confavreux C, Vukusic S, Adeleine P. Early clinical pre- dictors and progression of irreversible disability in multiple sclerosis: an amnesic process. Brain 2003;126:770 -782.
  6. Leray E, Yaouanq J, Le Page E, et al. Evidence for a two- stage disability progression in multiple sclerosis. Brain 2010;133:1900 -1913.
  7. Scalfari A, Neuhaus A, Degenhardt A, et al. The natural history of multiple sclerosis: a geographically based study 10: relapses and long-term disability. Brain 2010;133: 1914 -1929.
  8. Kremenchutzky M, Rice GP, Baskerville J, Wingerchuk DM, Ebers GC. The natural history of multiple sclerosis: a geographically based study 9: observations on the progres- sive phase of the disease. Brain 2006;129:584 -594.
  9. Weinshenker BG, Rice GP, Noseworthy JH, Carriere W, Baskerville J, Ebers GC. The natural history of multiple sclerosis: a geographically based study: 3: multivariate anal- ysis of predictive factors and models of outcome. Brain 1991;114:1045-1056.
  10. Runmarker B, Andersen O. Prognostic factors in a multi- ple sclerosis incidence cohort with twenty-five years of follow-up. Brain 1993;116:117-134.
  11. Kantarci O, Siva A, Eraksoy M, et al. Survival and predic- tors of disability in Turkish MS patients: Turkish Multiple Sclerosis Study Group (TUMSSG). Neurology 1998;51: 765-772.
  12. Poser S, Raun NE, Poser W. Age at onset, initial symp- tomatology and the course of multiple sclerosis. Acta Neu- rol Scand 1982;66:355-362.
  13. Riise T, Gronning M, Fernandez O, et al. Early prognostic factors for disability in multiple sclerosis, a European mul- ticenter study. Acta Neurol Scand 1992;85:212-218.
  14. Phadke JG. Clinical aspects of multiple sclerosis in north- east Scotland with particular reference to its course and prognosis. Brain 1990;113:1597-1628.
  15. Fog T, Linnemann F. The course of multiple sclerosis in 73 cases with computer-designed curves. Acta Neurol Scand Suppl 1970;47:3-175.
  16. Confavreux C, Aimard G, Devic M. Course and prognosis of multiple sclerosis assessed by the computerized data pro- cessing of 349 patients. Brain 1980;103:281-300.
  17. Cottrell DA, Kremenchutzky M, Rice GP, et al. The natural history of multiple sclerosis: a geographically based study: 5: the clinical features and natural history of primary progressive multiple sclerosis. Brain 1999; 122:625-639.
  18. Koch M, Mostert J, Heersema D, De Keyser J. Progression in multiple sclerosis: further evidence of an age dependent process. J Neurol Sci 2007;255:35-41.
  19. Confavreux C, Vukusic S. Natural history of multiple scle- rosis: a unifying concept. Brain 2006;129:606 -616.
  20. Confavreux C, Vukusic S. Age at disability milestones in multiple sclerosis. Brain 2006;129:595-605.
  21. Kurtzke JF. A new scale for evaluating disability in multi- ple sclerosis. Neurology 1955;5:580 -583.
  22. Hader WJ, Elliot M, Ebers GC. Epidemiology of multiple sclerosis in London and Middlesex County, Ontario, Can- ada. Neurology 1988;38:617-621.
  23. Weinshenker BG, Bass B, Rice GP, et al. The natural his- tory of multiple sclerosis: a geographically based study: I: clinical course and disability. Brain 1989;112:133-146.
  24. Kremenchutzky M, Cottrell D, Rice G, et al. The natural history of multiple sclerosis: a geographically based study: 7: progressive-relapsing and relapsing-progressive multiple sclerosis: a re-evaluation. Brain 1999;122:1941-1950.
  25. Daumer M, Held U, Ickstadt K, Heinz M, Schach S, Ebers G. Reducing the probability of false positive research findings by pre-publication validation: experience with a large multiple sclerosis database. BMC Med Res Methodol 2008;8:18.

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Authors
Scalfari, A., Neuhaus, A., Daumer, M., Ebers, G. C., & Muraro, P. A.
Affiliations
  • University of Oxford (GB)
  • From the Centre for Neuroscience (A.S., P.A.M.), Division of Experimental Medicine, Imperial College London, UK; Sylvia Lawry Centre (A.N., M.D.), Munich, Germany; and Department of Neurology (G.C.E.), University of Oxford, Oxford, UK.
Venue
Neurology
Published
2011-09-27
Volume
77
Issue
13
Pages
1246-1252
ISSN
  • 0028-3878 (ISSN-L)
  • 1526-632X
OpenAlex
W2013481339
Cited by
279
References
0
Citations by year
2026: 16 · 2025: 21 · 2024: 27 · 2023: 21 · 2022: 16 · 2021: 29 · 2020: 27 · 2019: 23 · 2018: 14 · 2017: 19 · 2016: 18 · 2015: 12 · 2014: 10 · 2013: 16 · 2012: 9
FWCI
8.10
Type
journal article
Language
en
Open access
Locations
  • Neurology (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Eli Lilly and Company
  • Sanofi
  • Biogen
  • Fondazione Italiana Sclerosi Multipla
  • European Committee for Treatment and Research in Multiple Sclerosis
  • UK Stem Cell Foundation
  • Multiple Sclerosis Society of Canada
  • Multiple Sclerosis Society
  • University of Southampton
  • Imperial College London
  • University of Oxford
  • Bundesministerium für Bildung und Forschung
  • Universität Wien
  • Medical Research Council (G0800679)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Oncology › Polyomavirus and related diseases
  • Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
Keywords
multiple sclerosis, age of onset, disability progression, secondary progressive multiple sclerosis, relapsing-remitting multiple sclerosis, primary progressive multiple sclerosis, prognosis, age as prognostic factor
MeSH terms
Adolescent, Adult, Aging, Disability Evaluation, Female, Disabled Persons, Persons with Disabilities, Humans, Longitudinal Studies, Male, Multiple Sclerosis, Ontario, Predictive Value of Tests, Retrospective Studies, Logistic Models, Age of Onset, Disease Progression, Kaplan-Meier Estimate, Young Adult

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