Title |
Positive correlation between functional disability, excessive daytime sleepiness, and fatigue in relapsing-remitting multiple sclerosis
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Published in |
Arquivos de Neuro-Psiquiatria, June 2016
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DOI | 10.1590/0004-282x20160069 |
Pubmed ID | |
Authors |
Douglas Martins Braga, Gilmar Fernandes do Prado, Denis Bernardi Bichueti, Enedina Maria Lobato de Oliveira |
Abstract |
Retrospective review of medical records from patients with multiple sclerosis to collect data on severity of fatigue, disability, daytime sleepiness, and depression. From 912 medical records reviewed, 122 reported daytime sleepiness: 67% had relapsing remitting, 12% had primary progressive, and 21% had secondary progressive. In 95% of the patients with relapsing remitting who complained of daytime sleepiness and fatigue, association was found between these symptoms and neurological disability. Patients with relapsing remitting who complained of daytime sleepiness and fatigue also experienced depression (p = 0.001). No association between fatigue, excessive daytime sleepiness, depression, and disability was found in patients with progressive disease. In relapsing remitting, there is correlation between functional disability, excessive daytime sleepiness and fatigue, a finding not confirmed in primary progressive and secondary progressive form. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 9% |
Other | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Student > Bachelor | 2 | 9% |
Researcher | 2 | 9% |
Other | 4 | 17% |
Unknown | 9 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 22% |
Neuroscience | 3 | 13% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Decision Sciences | 1 | 4% |
Other | 3 | 13% |
Unknown | 9 | 39% |