Literature DB >> 26718593

Epidemiology of multiple sclerosis.

E Leray1, T Moreau2, A Fromont3, G Edan4.   

Abstract

Multiple sclerosis (MS) is the most frequently seen demyelinating disease, with a prevalence that varies considerably, from high levels in North America and Europe (>100/100,000 inhabitants) to low rates in Eastern Asia and sub-Saharan Africa (2/100,000 population). Knowledge of the geographical distribution of the disease and its survival data, and a better understanding of the natural history of the disease, have improved our understanding of the respective roles of endogenous and exogenous causes of MS. Concerning mortality, in a large French cohort of 27,603 patients, there was no difference between MS patients and controls in the first 20 years of the disease, although life expectancy was reduced by 6-7 years in MS patients. In 2004, the prevalence of MS in France was 94.7/100,000 population, according to data from the French National Health Insurance Agency for Salaried Workers (Caisse nationale d'assurance maladie des travailleurs Salariés [CNAM-TS]), which insures 87% of the French population. This prevalence was higher in the North and East of France. In several countries, including France, the gender ratio for MS incidence (women/men) went from 2/1 to 3/1 from the 1950s to the 2000s, but only for the relapsing-remitting form. As for risk factors of MS, the most pertinent environmental factors are infection with Epstein-Barr virus (EBV), especially if it arises after childhood and is symptomatic. The role of smoking in MS risk has been confirmed, but is modest. In contrast, vaccines, stress, traumatic events and allergies have not been identified as risk factors, while the involvement of vitamin D has yet to be confirmed. From a genetic point of view, the association between HLA-DRB1*15:01 and a high risk of MS has been known for decades. More recently, immunogenetic markers have been identified (IL2RA, IL7RA) and, in particular thanks to studies of genome-wide associations, more than 100 genetic variants have been reported. Most of these are involved in the immune response and often associated with other autoimmune diseases. Studies of the natural history of MS suggest it is a two-phase disease: in the first phase, inflammation is focal with flares; and in the second phase, disability progresses independently of focal inflammation. This has clear implications for therapy. Age may also be a key factor in the phenotype of the disease. In conclusion, France is a high-risk country for MS, but it only slightly reduces life expectancy. MS is a multifactorial disease and the implications of immunogenetics are major. Preventative approaches might be derived from knowledge of the risk factors and natural history of the disease (smoking, vitamin D).
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Incidence; Mortality; Multiple sclerosis; Natural history; Prevalence; Risk factors

Mesh:

Year:  2015        PMID: 26718593     DOI: 10.1016/j.neurol.2015.10.006

Source DB:  PubMed          Journal:  Rev Neurol (Paris)        ISSN: 0035-3787            Impact factor:   2.607


  52 in total

1.  Toward an automatic tool for oligoclonal band detection in cerebrospinal fluid and tears for multiple sclerosis diagnosis: lane segmentation based on a ribbon univariate open active contour.

Authors:  Farah Haddad; Samuel Boudet; Laurent Peyrodie; Nicolas Vandenbroucke; Patrick Hautecoeur; Gérard Forzy
Journal:  Med Biol Eng Comput       Date:  2020-02-24       Impact factor: 2.602

2.  Persistence to oral disease-modifying therapies in multiple sclerosis patients.

Authors:  Simona Lattanzi; Maura Danni; Ruja Taffi; Raffaella Cerqua; Giulia Carlini; Alessandra Pulcini; Leandro Provinciali; Mauro Silvestrini
Journal:  J Neurol       Date:  2017-08-22       Impact factor: 4.849

Review 3.  A Review of the Current Evidence on Gadolinium Deposition in the Brain.

Authors:  Richard Pullicino; Mark Radon; Shubhabrata Biswas; Maneesh Bhojak; Kumar Das
Journal:  Clin Neuroradiol       Date:  2018-03-09       Impact factor: 3.649

Review 4.  Oral and intravenous steroids for multiple sclerosis relapse: a systematic review and meta-analysis.

Authors:  Simona Lattanzi; Claudia Cagnetti; Maura Danni; Leandro Provinciali; Mauro Silvestrini
Journal:  J Neurol       Date:  2017-05-10       Impact factor: 4.849

Review 5.  Occurrence of Multiple Sclerosis After Drug Exposure: Insights From Evidence Mapping.

Authors:  Ippazio Cosimo Antonazzo; Emanuel Raschi; Luca Vignatelli; Elisa Baldin; Trond Riise; Roberto D'Alessandro; Fabrizio De Ponti; Elisabetta Poluzzi
Journal:  Drug Saf       Date:  2017-09       Impact factor: 5.606

Review 6.  Viruses and Multiple Sclerosis: From Mechanisms and Pathways to Translational Research Opportunities.

Authors:  Alexios-Fotios A Mentis; Efthimios Dardiotis; Nikolaos Grigoriadis; Efthimia Petinaki; Georgios M Hadjigeorgiou
Journal:  Mol Neurobiol       Date:  2017-04-28       Impact factor: 5.590

7.  Perceptions, experiences, and understandings of cluster headache among GPs and neurologists: a qualitative study.

Authors:  Alina Buture; Fayyaz Ahmed; Yachna Mehta; Koen Paemeleire; Peter J Goadsby; Lisa Dikomitis
Journal:  Br J Gen Pract       Date:  2020-06-25       Impact factor: 5.386

8.  Association Between Serum Vitamin D Levels and Frequency of Relapses in Patients With Multiple Sclerosis.

Authors:  Farah Mansoor; Vikash Kumar; Suneel Kumar; Navneet Kaur; Sidra Naz; Simra Shahid; Faryal Anees; Sidra Memon; Amber Rizwan
Journal:  Cureus       Date:  2021-04-09

9.  Prediction of Multiple sclerosis disease using machine learning classifiers: a comparative study.

Authors:  Sonia Darvishi; Omid Hamidi; Jalal Poorolajal
Journal:  J Prev Med Hyg       Date:  2021-04-29

10.  Co-Ultramicronized Palmitoylethanolamide/Luteolin-Induced Oligodendrocyte Precursor Cell Differentiation is Associated With Tyro3 Receptor Upregulation.

Authors:  Laura Facci; Massimo Barbierato; Mariella Fusco; Pietro Giusti; Morena Zusso
Journal:  Front Pharmacol       Date:  2021-06-30       Impact factor: 5.810

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.