Literature DB >> 32997326

The impairment of the functional system and fatigue at the onset of the disease predict reaching disability milestones in relapsing-remitting multiple sclerosis differently in female and male patients.

Alina Ivaniuk1, Yuliia Solodovnikova2, Tetiana Marusich2, Anatoliy Son2.   

Abstract

Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system with variable types of disability progression (DP). Previous studies, defining different disability milestones (DMs), have reported symptoms at MS onset to be the predictors of DP and sex as a risk factor. Meanwhile, accounting for sex differences in MS, predictors in female and male patients might differ. To investigate whether the symptoms at MS onset predict reaching DMs in patients with relapsing-remitting (RR) MS and whether the predictors vary between different DMs and female and male patients. Data from 128 RR MS patients (84 females, 44 males) was retrospectively studied. EDSS scores 4 and 6 (associated with impaired ambulation) were taken as DMs. Association between symptoms at MS onset and time to reach DMs was assessed with Cox multiple regression model. Pyramidal symptoms and fatigue at MS onset predicted the progression to EDSS 4 in the whole study population (HR 1.84, 95% CI 1.07-3.2, p = 0.028 and HR 2.01, 95% CI 1.12-3.4, p = 0.011, correspondingly). The same symptoms predicted reaching DM in female, but not male patients. Bowel/bladder symptoms predicted reaching EDSS 6 in the whole study population (HR 4.31, 95% CI 1.47-12.6, p = 0.008) and female patients only (HR 3.93, 95% CI 1.04-14.8, p = 0.043). In female patients, fatigue was also the predictor of reaching EDSS 6 (HR 3.54, 95% CI 1.16-10.8, p = 0.026). Impairment of functional symptoms at MS onset can predict reaching DMs in patients with RR-MS, but the predictors for EDSS 4 and EDSS 6 differ in female and male patients.
© 2020. Belgian Neurological Society.

Entities:  

Keywords:  Disability; EDSS; Multiple sclerosis; Predictors

Mesh:

Year:  2020        PMID: 32997326     DOI: 10.1007/s13760-020-01478-0

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  22 in total

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Authors:  G Ramsaransing; N Maurits; C Zwanikken; J De Keyser
Journal:  Mult Scler       Date:  2001-10       Impact factor: 6.312

2.  Combining clinical and magnetic resonance imaging markers enhances prediction of 12-year disability in multiple sclerosis.

Authors:  Tomas Uher; Manuela Vaneckova; Lukas Sobisek; Michaela Tyblova; Zdenek Seidl; Jan Krasensky; Deepa Ramasamy; Robert Zivadinov; Eva Havrdova; Tomas Kalincik; Dana Horakova
Journal:  Mult Scler       Date:  2016-07-11       Impact factor: 6.312

Review 3.  The epidemiology of multiple sclerosis: insights to disease pathogenesis.

Authors:  Douglas S Goodin
Journal:  Handb Clin Neurol       Date:  2014

4.  Fatigue in patients with multiple sclerosis: from movement preparation to motor execution.

Authors:  Margherita Russo; Domenica Crupi; Antonino Naro; Laura Avanzino; Maria Buccafusca; Vincenzo Dattola; Carmen Terranova; Fabrizio Sottile; Vincenzo Rizzo; Maria Felice Ghilardi; Paolo Girlanda; Marco Bove; Angelo Quartarone
Journal:  J Neurol Sci       Date:  2015-02-23       Impact factor: 3.181

Review 5.  Multiple sclerosis.

Authors:  Alan J Thompson; Sergio E Baranzini; Jeroen Geurts; Bernhard Hemmer; Olga Ciccarelli
Journal:  Lancet       Date:  2018-03-23       Impact factor: 79.321

6.  Epidemiology of multiple sclerosis.

Authors:  Sreeram V Ramagopalan; A Dessa Sadovnick
Journal:  Neurol Clin       Date:  2011-05       Impact factor: 3.806

7.  The outcome spectrum of multiple sclerosis: disability, mortality, and a cluster of predictors from onset.

Authors:  Helen Tedeholm; Bengt Skoog; Vera Lisovskaja; Björn Runmarker; Olle Nerman; Oluf Andersen
Journal:  J Neurol       Date:  2015-02-26       Impact factor: 4.849

8.  Predictors of long-term disability accrual in relapse-onset multiple sclerosis.

Authors:  Vilija G Jokubaitis; Tim Spelman; Tomas Kalincik; Johannes Lorscheider; Eva Havrdova; Dana Horakova; Pierre Duquette; Marc Girard; Alexandre Prat; Guillermo Izquierdo; Pierre Grammond; Vincent Van Pesch; Eugenio Pucci; François Grand'Maison; Raymond Hupperts; Franco Granella; Patrizia Sola; Roberto Bergamaschi; Gerardo Iuliano; Daniele Spitaleri; Cavit Boz; Suzanne Hodgkinson; Javier Olascoaga; Freek Verheul; Pamela McCombe; Thor Petersen; Csilla Rozsa; Jeannette Lechner-Scott; Maria Laura Saladino; Deborah Farina; Pietro Iaffaldano; Damiano Paolicelli; Helmut Butzkueven; Alessandra Lugaresi; Maria Trojano
Journal:  Ann Neurol       Date:  2016-06-01       Impact factor: 10.422

Review 9.  Clinical, MRI, and CSF markers of disability progression in multiple sclerosis.

Authors:  Alberto Gajofatto; Massimiliano Calabrese; Maria Donata Benedetti; Salvatore Monaco
Journal:  Dis Markers       Date:  2013-11-10       Impact factor: 3.434

10.  Determinants of disability in multiple sclerosis: an immunological and MRI study.

Authors:  Paola Tortorella; Maria Marcella Laganà; Marina Saresella; Eleonora Tavazzi; Maria Giulia Preti; Cristian Ricci; Francesca Baglio; Ivana Marventano; Federica Piancone; Giuseppe Baselli; Pietro Cecconi; Domenico Caputo; Mario Clerici; Marco Rovaris
Journal:  Biomed Res Int       Date:  2014-04-09       Impact factor: 3.411

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  1 in total

1.  Application of the "risk of ambulatory disability" (RoAD) score in a "real-world" single-center multiple sclerosis cohort.

Authors:  Maximilian Pistor; Helly Hammer; Anke Salmen; Robert Hoepner; Christoph Friedli
Journal:  CNS Neurosci Ther       Date:  2022-01-21       Impact factor: 5.243

  1 in total

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