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Fatigue, sleepiness and depression in multiple sclerosis: defining the overlaps for a better phenotyping

Davide Sparasci, Claudio Gobbi, Anna Castelnovo, Gianna Carla Riccitelli, Giulio Disanto, Chiara Zecca, Mauro Manconi

2022Journal of Neurology33 citationsDOIOpen Access PDF

Abstract

BACKGROUND AND OBJECTIVES: To define the boundaries and the overlaps between fatigue, sleepiness and depression in patients with multiple sclerosis (MS) by using different tools for each dimension, including instrumental sleep analysis. METHODS: In this cross-sectional, observational study, 71 MS patients (males/females: 20/51; mean age: 48.9 ± 10.5 years) filled in clinical questionnaires and performed polysomnography followed by maintenance of wakefulness test (MWT). Frequency and reciprocal overlap of sleepiness, fatigue and depression in MS were expressed by Eulero-Venn diagrams; standard multiple regression was used to assess the ability of symptoms to predict each other. RESULTS: There was a high percentage of fatigued (70%), somnolent (45%) and depressed (27%) patients. Fatigue had the strongest overlap and correlated with both depression (beta: 0.52, p < 0.001) and sleepiness (beta: 0.74, p < 0.001). Somnolence and depression were nearly always accompanied by fatigue and were well differentiated from each other by MWT. Four MS subgroups were identified that had: (1) fatigue only; (2) fatigue and sleepiness (3) fatigue and depression; (4) fatigue, sleepiness and depression. DISCUSSION: The subjective and objective tools are not able to clearly distinguish fatigue from sleepiness and depression, while only a test of vigilance can be helpful in separating somnolence and depression from each other.

Topics & Concepts

Multiple sclerosisDepression (economics)NeurologyNeuroradiologyPsychologyMedicinePsychiatryNeurosciencePhysical medicine and rehabilitationMacroeconomicsEconomicsMultiple Sclerosis Research StudiesAmyotrophic Lateral Sclerosis ResearchFibromyalgia and Chronic Fatigue Syndrome Research
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