Literature DB >> 11805257

Multiple sclerosis distribution in northern Sardinia: spatial cluster analysis of prevalence.

M Pugliatti1, G Solinas, S Sotgiu, P Castiglia, G Rosati.   

Abstract

BACKGROUND: A heterogeneous geographic distribution of MS has been reported among different ethnic groups, and also within small communities. Epidemiologic studies conducted over the past two decades using repeated assessments clearly show that Sardinia is at high risk for MS, with a prevalence of 150 per 100,000 in 1997.
OBJECTIVE: To present spatial analysis of the disease prevalence to disclose possible "hot" or "cold" spots of disease, further allowing correlations with risk factors.
METHODS: A spatial analysis of the whole province of Sassari, in northern Sardinia, at a microgeographic level (i.e., in the 89 administrative communes and 6 linguistic areas) was conducted. Because of the small number of cases per commune and to overcome random variability, a hierarchical Bayesian approach was adopted. The distribution of prevalent cases by commune of residence on December 31, 1997 and from age 5 to 15 years was analyzed.
RESULTS: A clustering pattern was found in the southwestern communes of the province based on geographic distribution by both prevalence and residence at age 5 to 15 years. A west-to-east gradient also was observed.
CONCLUSIONS: This study highlights a hot spot of MS in the southwestern part of Sassari province, bordering with the commune of Macomer, where MS was once hypothesized as having occurred as an epidemic. Interestingly, these areas of MS clustering comprise the Common Logudorese linguistic domain. The Catalan area, linguistically and genetically distant from the remaining Sardinian domains, does not show such high estimates. Because MS is not a single-source infectious disease, this study may help test the hypothesis that a widely and evenly spread environmental (infectious?) agent may produce disease in subgroups of genetically more susceptible individuals in areas at higher inbreeding rates, wherein a disease mode of inheritance could be better investigated.

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Year:  2002        PMID: 11805257     DOI: 10.1212/wnl.58.2.277

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  6 in total

1.  Shedding light on the link between early life sun exposure and risk of multiple sclerosis: results from the EnvIMS Study.

Authors:  Sandra Magalhaes; Maura Pugliatti; Trond Riise; Kjell-Morten Myhr; Antonio Ciampi; Kjetil Bjornevik; Christina Wolfson
Journal:  Int J Epidemiol       Date:  2019-08-01       Impact factor: 7.196

2.  Amyotrophic lateral sclerosis in Sardinia, insular Italy, 1995-2009.

Authors:  Maura Pugliatti; Leslie D Parish; Paola Cossu; Stefania Leoni; Anna Ticca; M Valeria Saddi; Enzo Ortu; Sebastiano Traccis; Giuseppe Borghero; Roberta Puddu; Adriano Chiò; Pietro Pirina
Journal:  J Neurol       Date:  2012-09-30       Impact factor: 4.849

3.  Multiple sclerosis spatial cluster in Tuscany.

Authors:  Daiana Bezzini; Pasquale Pepe; Francesco Profili; Giuseppe Meucci; Monica Ulivelli; Sabina Bartalini; Mario A Battaglia; Paolo Francesconi
Journal:  Neurol Sci       Date:  2017-10-10       Impact factor: 3.307

4.  Seasonal fluctuation of multiple sclerosis births in Sardinia.

Authors:  Stefano Sotgiu; M Pugliatti; Maria A Sotgiu; Maria L Fois; Giannina Arru; Alessandra Sanna; Giulio Rosati
Journal:  J Neurol       Date:  2005-07-20       Impact factor: 6.682

5.  A framework for measurement and harmonization of pediatric multiple sclerosis etiologic research studies: The Pediatric MS Tool-Kit.

Authors:  Sandra Magalhaes; Brenda Banwell; Amit Bar-Or; Isabel Fortier; Heather E Hanwell; Ming Lim; Georg E Matt; Rinze F Neuteboom; David L O'Riordan; Paul K Schneider; Maura Pugliatti; Bryna Shatenstein; Catherine M Tansey; Evangeline Wassmer; Christina Wolfson
Journal:  Mult Scler       Date:  2018-06-22       Impact factor: 6.312

Review 6.  Multiple sclerosis epidemiological trends in Italy highlight the environmental risk factors.

Authors:  M Puthenparampil; P Perini; R Bergamaschi; M Capobianco; M Filippi; P Gallo
Journal:  J Neurol       Date:  2021-09-27       Impact factor: 4.849

  6 in total

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