Literature DB >> 28793296

Older Age at Multiple Sclerosis Onset Is an Independent Factor of Poor Prognosis: A Population-Based Cohort Study.

Francis Guillemin1, Cédric Baumann, Jonathan Epstein, Philippe Kerschen, Teresa Garot, Guillaume Mathey, Marc Debouverie.   

Abstract

BACKGROUND: Late-onset multiple sclerosis (LOMS) frequently features a primary progressive (PP) course, strongly predicting severe disability. In this population-based cohort, we estimated the prognostic role of age at multiple sclerosis (MS) onset, independent of PP course, on disability progression.
METHODS: The association of age at disease onset (adult, <50 years [AOMS], vs. late, ≥50 years [LOMS]) and time to Expanded Disability Status Scale (EDSS) score 4 and 6 was estimated by Cox regression modelling.
RESULTS: Among 3,597 patients, 245 had LOMS. Relapsing-remitting (RR) disease was less frequent with LOMS than AOMS (51.8 vs. 90.8%, p < 0.0001). PP course, LOMS and male gender predicted short time to EDSS 4 and 6. Worse outcome with LOMS (time to EDSS 4 and 6, HR 2.0 [95% CI 1.7-2.4] and 2.3 [1.9-2.9]) was independent of PP course or male gender. LOMS had greater impact on RR than PP disease (time to EDSS 4 and 6, HR 3.1 [2.3-4.0] and 4.0 [2.9-5.6]). Only LOMS predicted time from EDSS 4 to 6 (p < 0.0001).
CONCLUSIONS: Late onset MS was strongly associated with poor prognosis, independent of initial disease course, in predicting the disability progression along time.
© 2017 S. Karger AG, Basel.

Entities:  

Keywords:  Age; Late onset; Multiple sclerosis; Primary progressive; Prognosis; Progressive phase

Mesh:

Year:  2017        PMID: 28793296     DOI: 10.1159/000479516

Source DB:  PubMed          Journal:  Neuroepidemiology        ISSN: 0251-5350            Impact factor:   3.282


  12 in total

Review 1.  Multiple sclerosis.

Authors:  Massimo Filippi; Amit Bar-Or; Fredrik Piehl; Paolo Preziosa; Alessandra Solari; Sandra Vukusic; Maria A Rocca
Journal:  Nat Rev Dis Primers       Date:  2018-11-08       Impact factor: 52.329

2.  Late-onset MS is associated with an increased rate of reaching disability milestones.

Authors:  Mads Albrecht Andersen; Mathias Due Buron; Melinda Magyari
Journal:  J Neurol       Date:  2021-03-07       Impact factor: 4.849

Review 3.  Clinical Characteristics of Multiple Sclerosis in African-Americans.

Authors:  Veronica P Cipriani; Sara Klein
Journal:  Curr Neurol Neurosci Rep       Date:  2019-11-13       Impact factor: 5.081

4.  Long-term analysis of patients with benign multiple sclerosis: new insights about the disability course.

Authors:  Guillaume Mathey; Guillaume Pisché; Marc Soudant; Sophie Pittion-Vouyovitch; Francis Guillemin; Marc Debouverie; Jonathan Epstein
Journal:  J Neurol       Date:  2021-03-31       Impact factor: 4.849

Review 5.  Advancing Care and Outcomes for African American Patients With Multiple Sclerosis.

Authors:  Annette F Okai; Annette M Howard; Mitzi J Williams; Justine D Brink; Chiayi Chen; Tamela L Stuchiner; Elizabeth Baraban; Grace Jeong; Stanley L Cohan
Journal:  Neurology       Date:  2022-04-25       Impact factor: 11.800

6.  MRI phenotypes in MS: Longitudinal changes and miRNA signatures.

Authors:  Christopher C Hemond; Brian C Healy; Shahamat Tauhid; Maria A Mazzola; Francisco J Quintana; Roopali Gandhi; Howard L Weiner; Rohit Bakshi
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2019-02-14

7.  Challenges of persons with multiple sclerosis on ocrelizumab treatment during COVID-19 pandemic.

Authors:  Cavid Baba; Pinar Yigit; Seda Dastan; Pelin Hancer; Ozge Sagici; Serkan Ozakbas; Zuhal Abasiyanik
Journal:  Neurol Clin Neurosci       Date:  2021-10-28

8.  Differences in MS clinical and epidemiological characteristics between Ashkenazi and non-Ashkenazi Jewish patients in Israel: a retrospective single center study.

Authors:  Arnon Karni; Gil Ben Noon; Tamara Shiner; Ifat Vigiser; Hadar Kolb; Keren Regev
Journal:  Sci Rep       Date:  2022-03-16       Impact factor: 4.379

Review 9.  Microbiome in Multiple Sclerosis; Where Are We, What We Know and Do Not Know.

Authors:  Marina Kleopatra Boziki; Evangelia Kesidou; Paschalis Theotokis; Alexios-Fotios A Mentis; Eleni Karafoulidou; Mikhail Melnikov; Anastasia Sviridova; Vladimir Rogovski; Alexey Boyko; Nikolaos Grigoriadis
Journal:  Brain Sci       Date:  2020-04-14

10.  Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis.

Authors:  Ruggiero Seccia; Daniele Gammelli; Fabio Dominici; Silvia Romano; Anna Chiara Landi; Marco Salvetti; Andrea Tacchella; Andrea Zaccaria; Andrea Crisanti; Francesca Grassi; Laura Palagi
Journal:  PLoS One       Date:  2020-03-20       Impact factor: 3.240

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