Literature DB >> 28664749

The age at onset in Multiple Sclerosis is associated with patient's prognosis.

D Cierny, J Lehotsky, S Hanysova, J Michalik, E Kantorova, S Sivak, E Kurca, D Dobrota, L Jesenska.   

Abstract

BACKGROUND: The causes of the individual differences in the rate of disability progression in multiple sclerosis (MS) are still not completely clear. According to the long-term prognosis of MS patients, the search for new valuable prognostic markers of "benign" or "malign" MS is necessary.
OBJECTIVES: Our aim was to assess the possible association of MS onset age with the disease disability progression rate in Slovak patients with MS.
METHODS: By the unique pattern of evaluation of disability progression rate using Multiple Sclerosis Severity Score (MSSS), each of 270 MS patients was defined as slow-progressing, mid-rate progressing or rapidly progressing.
RESULTS: We found a significant differences in the age at onset between MS patients with different rate of disability progression (p(K-W)<0,00005). The faster was a disability progression assessed by MSSS score, the higher was the MS onset age.
CONCLUSION: We showed for the first time in Central European Slovak population that MS onset age is an early marker that is in the positive correlation with disease disability progression rate, evaluated by MSSS score. We conclude that relapsing-remitting MS patients older at clinical onset have a higher risk of unfavorable prognosis (Tab. 2, Fig. 1, Ref. 21).

Entities:  

Keywords:  MSSS age at onset.; disability progression; multiple sclerosis; prognosis

Mesh:

Year:  2017        PMID: 28664749     DOI: 10.4149/BLL_2017_071

Source DB:  PubMed          Journal:  Bratisl Lek Listy        ISSN: 0006-9248            Impact factor:   1.278


  4 in total

1.  The Putative Association of TOB1-AS1 Long Non-coding RNA with Immune Tolerance: A Study on Multiple Sclerosis Patients.

Authors:  Reyhaneh Dehghanzad; Majid Pahlevan Kakhki; Asieh Alikhah; Mohammad Ali Sahraian; Mehrdad Behmanesh
Journal:  Neuromolecular Med       Date:  2019-09-03       Impact factor: 3.843

2.  Predicting disease activity in patients with multiple sclerosis: An explainable machine-learning approach in the Mavenclad trials.

Authors:  Sreetama Basu; Alain Munafo; Ali-Frederic Ben-Amor; Sanjeev Roy; Pascal Girard; Nadia Terranova
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-05-09

3.  Glycosylation Alterations in Multiple Sclerosis Show Increased Proinflammatory Potential.

Authors:  Ana Cvetko; Domagoj Kifer; Olga Gornik; Lucija Klarić; Elizabeth Visser; Gordan Lauc; James F Wilson; Tamara Štambuk
Journal:  Biomedicines       Date:  2020-10-13

4.  Onset Symptoms, Tobacco Smoking, and Progressive-Onset Phenotype Are Associated With a Delayed Onset of Multiple Sclerosis, and Marijuana Use With an Earlier Onset.

Authors:  Chunrong Tao; Steve Simpson; Bruce V Taylor; Leigh Blizzard; Robyn M Lucas; Anne-Louise Ponsonby; Simon Broadley; Ingrid van der Mei
Journal:  Front Neurol       Date:  2018-06-08       Impact factor: 4.003

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.