Literature DB >> 27456871

Prognostic factors associated with long-term disability and secondary progression in patients with Multiple Sclerosis.

Claudia Cristina Ferreira Vasconcelos1, Juliana Calvet Kallenbach Aurenção2, Luiz Claudio Santos Thuler3, Solange Camargo4, Marcos Papais Alvarenga5, Regina Maria Papais Alvarenga6.   

Abstract

BACKGROUND: Predicting the long-term prognosis of patients with multiple sclerosis (MS) remains an uncertain and difficult task, with most data having been obtained exclusively from Caucasian cohorts.
OBJECTIVE: To investigate clinical prognostic factors in a Brazilian mixed-race cohort.
METHODS: Demographic, clinical and therapeutic factors were investigated in 303 patients with relapsing-remitting MS in relation to the following outcomes: time until reaching Expanded Disability Status Scale (EDSS) 3 and EDSS 6, and until secondary progression.
RESULTS: Benign course was significantly more frequent among Caucasians when compared to Afrodescendants. Patients with a malignant course had more than one relapse in the first year of the disease and reached EDSS 3 faster if treatment was not started. In the multivariate analysis, the following factors were associated with a significantly shorter time until the established outcomes: male gender, being of African descent, non-recovery after the first relapse, two or more relapses during the first year, a short interval between initial relapses, initial polysymptomatic presentation of pyramidal and cerebellar dysfunction and no treatment prior to reaching EDSS 3.
CONCLUSIONS: Being of African descent was found to be an unfavorable factor for all outcomes, reinforcing the need to take ethnicity into consideration when defining treatment, particularly in mixed MS populations.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  African Ancestry; Disability; Multiple Sclerosis; Prognostic factors; Risk factors; Secondary progression

Mesh:

Year:  2016        PMID: 27456871     DOI: 10.1016/j.msard.2016.03.011

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  8 in total

Review 1.  Correlation of geographic distributions of haptoglobin alleles with prevalence of multiple sclerosis (MS) - a narrative literature review.

Authors:  Vladimir V Bamm; Arielle M Geist; George Harauz
Journal:  Metab Brain Dis       Date:  2016-11-02       Impact factor: 3.584

2.  Association of social network structure and physical function in patients with multiple sclerosis.

Authors:  Seth N Levin; Claire S Riley; Amar Dhand; Charles C White; Shruthi Venkatesh; Blake Boehm; Caren Nassif; Lauren Socia; Kaho Onomichi; Victoria M Leavitt; Libby Levine; Rock Heyman; Rebecca S Farber; Wendy S Vargas; Zongqi Xia; Philip L De Jager
Journal:  Neurology       Date:  2020-08-07       Impact factor: 9.910

3.  Relation between functional connectivity and disability in multiple sclerosis: a non-linear model.

Authors:  Silvia Tommasin; Laura De Giglio; Serena Ruggieri; Nikolaos Petsas; Costanza Giannì; Carlo Pozzilli; Patrizia Pantano
Journal:  J Neurol       Date:  2018-10-01       Impact factor: 4.849

Review 4.  Current concepts in multiple sclerosis therapy.

Authors:  Leslie Sedal; Antony Winkel; Joshua Laing; Lai Yin Law; Elizabeth McDonald
Journal:  Degener Neurol Neuromuscul Dis       Date:  2017-09-28

5.  A systematic literature review on the European, African and Amerindian genetic ancestry components on Brazilian health outcomes.

Authors:  Fabiana Dos Santos Carolino Firmo Pereira; Raphael Mendonça Guimarães; Alexandre Ramos Lucidi; Doralina Guimarães Brum; Carmen Lucia Antão Paiva; Regina Maria Papais Alvarenga
Journal:  Sci Rep       Date:  2019-06-20       Impact factor: 4.379

6.  Unmasking the Masquerader: A Delayed Diagnosis of MS and Its 4.5 Years of Implications in an Older African American Male.

Authors:  Deanna Dong; Joshua Carlson; Joseph Ruberwa; Thomas Snihur; Nawar Al-Obaidi; José Bustillo
Journal:  Case Rep Med       Date:  2019-08-07

7.  Validity and reliability of the Finnish version of the Multiple Sclerosis Impact Scale-29.

Authors:  Eija Rosti-Otajärvi; Päivi Hämäläinen; Anna Wiksten; Tanja Hakkarainen; Juhani Ruutiainen
Journal:  Brain Behav       Date:  2017-05-17       Impact factor: 2.708

8.  Does a modifiable risk factor score predict disability worsening in people with multiple sclerosis?

Authors:  Claudia H Marck; Zoe Aitken; Steve Simpson; Tracey J Weiland; George A Jelinek
Journal:  Mult Scler J Exp Transl Clin       Date:  2019-10-11
  8 in total

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