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DOI 10.1007/s00415-022-11143-6

Медицинская библиотека · Journal of neurology · 2022

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

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

СтатьяНаблюдательное исследованиеПеревод в очереди

Аннотация

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.

Для цитирования: Sparasci Davide, Gobbi Claudio, Castelnovo Anna, Riccitelli Gianna Carla, Disanto Giulio, Zecca Chiara, Manconi Mauro. Fatigue, sleepiness and depression in multiple sclerosis: defining the overlaps for a better phenotyping.. Journal of neurology. 2022. DOI: 10.1007/s00415-022-11143-6.

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