Literature DB >> 30824631

Factors associated with and long-term outcome of benign multiple sclerosis: a nationwide cohort study.

Loes Crielaard1, Andrius Kavaliunas1, Ryan Ramanujam1, Tomas Olsson2, Jan Hillert1, Pernilla Stridh2, Ingrid Kockum2, Ali Manouchehrinia3.   

Abstract

OBJECTIVE: Benign multiple sclerosis (BMS) is often defined by the Expanded Disability Status Scale (EDSS) score of ≤3.0 after ≥15 years of disease duration. This classification's clinical relevance remains unclear as benign patients may suffer other impairments and advance towards a progressive course, prompting our objective to holistically investigate factors associated with BMS and its long-term prognosis.
METHODS: Benign cases were identified in the Swedish Multiple Sclerosis registry. Baseline clinical data, demographic features and influence of multiple sclerosis (MS) major risk alleles on likelihood of benign course were investigated. Physical disability (EDSS), cognitive function (Symbol Digit Modalities Test; SDMT) and self-reported and socioeconomic differences between benign and non-benign patients were evaluated using generalised estimation equations models.
RESULTS: 11222 patients (2420 benign/8802 non-benign) were included. Benign patients were more likely to be female and younger at MS onset, have fewer relapses within the first two and 5 years from onset and fully recover from the first relapse (p<0.001). No association between human leucocyte antigen (HLA) DRB1*15:01 carriership (OR: 0.97, 95% CI: 0.86 to 1.09) or HLA-A*02:01 lacking (OR: 0.99, 95% CI: 0.87 to 1.11) and benign/non-benign was found. Non-benign patients accumulated an extra 0.04 (95% CI 0.03 to 0.04, p<0.001) EDSS score/year, lost an extra 0.3 (95% CI - 0.39 to - 0.18, p<0.001) SDMT score/year and deteriorated faster in self-reported impact and socioeconomic measures (p<0.001).
CONCLUSION: Patients with BMS have a better disease course as they progress more slowly at the group level in all respects. Lack of an association with major genetic risk factors indicates that MS course is most likely influenced by either environmental factor(s) or genetic factors outside the HLA region. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Severity; benign; cognitive function; genotype data; multiple sclerosis; physical disability; risk of death; self-reported impact

Mesh:

Year:  2019        PMID: 30824631     DOI: 10.1136/jnnp-2018-319913

Source DB:  PubMed          Journal:  J Neurol Neurosurg Psychiatry        ISSN: 0022-3050            Impact factor:   10.154


  5 in total

1.  Predicting onset of secondary-progressive multiple sclerosis using genetic and non-genetic factors.

Authors:  Elina Misicka; Corriene Sept; Farren B S Briggs
Journal:  J Neurol       Date:  2020-04-24       Impact factor: 4.849

2.  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

3.  The impact of socioeconomic status on subsequent neurological outcomes in multiple sclerosis.

Authors:  Devi Sai Sri Kavya Boorgu; Shruthi Venkatesh; Chirag M Lakhani; Elizabeth Walker; Ines M Aguerre; Claire Riley; Chirag J Patel; Philip L De Jager; Zongqi Xia
Journal:  Mult Scler Relat Disord       Date:  2022-06-24       Impact factor: 4.808

4.  HLA genotype-clinical phenotype correlations in multiple sclerosis and neuromyelitis optica spectrum disorders based on Japan MS/NMOSD Biobank data.

Authors:  Mitsuru Watanabe; Yuri Nakamura; Shinya Sato; Masaaki Niino; Hikoaki Fukaura; Masami Tanaka; Hirofumi Ochi; Takashi Kanda; Yukio Takeshita; Takanori Yokota; Yoichiro Nishida; Makoto Matsui; Shigemi Nagayama; Susumu Kusunoki; Katsuichi Miyamoto; Masanori Mizuno; Izumi Kawachi; Etsuji Saji; Takashi Ohashi; Shun Shimohama; Shin Hisahara; Kazutoshi Nishiyama; Takahiro Iizuka; Yuji Nakatsuji; Tatsusada Okuno; Kazuhide Ochi; Akio Suzumura; Ken Yamamoto; Yuji Kawano; Shoji Tsuji; Makoto Hirata; Ryuichi Sakate; Tomonori Kimura; Yuko Shimizu; Akiko Nagaishi; Kazumasa Okada; Fumie Hayashi; Ayako Sakoda; Katsuhisa Masaki; Koji Shinoda; Noriko Isobe; Takuya Matsushita; Jun-Ichi Kira
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

5.  Preventing disease progression in multiple sclerosis-insights from large real-world cohorts.

Authors:  Sinah Engel; Frauke Zipp
Journal:  Genome Med       Date:  2022-04-20       Impact factor: 15.266

  5 in total

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