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Comorbidity and metabolic syndrome in patients with multiple sclerosis from Asturias and Catalonia, Spain

Overview of attention for article published in BMC Neurology, July 2017
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Title
Comorbidity and metabolic syndrome in patients with multiple sclerosis from Asturias and Catalonia, Spain
Published in
BMC Neurology, July 2017
DOI 10.1186/s12883-017-0914-2
Pubmed ID
Authors

Antoni Sicras-Mainar, Elena Ruíz-Beato, Ruth Navarro-Artieda, Jorge Maurino

Abstract

The impact of comorbidity on multiple sclerosis (MS) is a new area of interest. Limited data on the risk factors of metabolic syndrome (MetS) is currently available. The aim of this study was to estimate the presence of comorbid conditions and MetS in a sample of adult patients with MS. A retrospective, cohort study was conducted using electronic medical records from 19 primary care centres in Catalonia and Asturias, Spain. The number of chronic diseases (diagnoses), the Charlson Comorbidity Index and the individual Case-mix Index were used to assess general comorbidity variables. MetS was defined using the National Cholesterol Education Program Adult Treatment Panel III. Patients were distributed into two groups according to the Expanded Disability Status Scale (EDSS) score: 0-3.5 and 4-10. A total of 222 patients were studied (mean age = 45.5 (SD 12.5) years, 64.4% were female and 62.2% presented a diagnosis of relapsing-remitting MS). Mean EDSS score was 3.2 (SD 2.0). Depression (32.4%), dyslipidaemia (31.1%), hypertension (23.0%) and obesity (22.5%) were the most common comorbidities. Overall MetS prevalence was 31.1% (95% CI: 25.0-37.2%). Patients with an EDSS ≥ 4.0 showed a significantly higher number of comorbidities (OR=2.2; 95% CI: 1.7-3.0; p<0.001). MS patients had a high prevalence of MetS. Screening for comorbidity should be part of standard MS care. Further studies are necessary to confirm this association and the underlying mechanisms of MS and its comorbidities.

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Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 13 12%
Student > Ph. D. Student 11 10%
Researcher 11 10%
Other 8 8%
Student > Master 7 7%
Other 17 16%
Unknown 39 37%
Readers by discipline Count As %
Medicine and Dentistry 28 26%
Nursing and Health Professions 9 8%
Neuroscience 8 8%
Psychology 3 3%
Social Sciences 3 3%
Other 10 9%
Unknown 45 42%