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• W4362588060 abstract "Background Fatigue is a frequent disabling and neglected symptom in multiple sclerosis (MS). Many studies reported fatigue related grey matter atrophy but little is known about the fatigue-related white matter lesion load in relapsing remitting multiple sclerosis (RRMS). We aimed to assess the relation between fatigue and regional WM lesion load, and whole grey matter (GM) and whole brain volumetric measures Material(s) and Method(s) This is multicenter cross sectional study including 63 patients with RRMS with the mean age 31.94 ± 8.128 years with male/female ratio 18/45. Demographic data, clinical examination, Expanded Disability Status Scale (EDSS), Fatigue Severity Scale (FSS), WM Lesion load and GM volume measured by fully automated, operator-independent, multi-parametric segmentation method of brain MRI were all recorded. The patients were classified into three groups on the basis of FSS score: no fatigue group (FSS≤4), the low to moderate fatigue group (FSS ≥4, ≤5) and the high-fatigue group (FSS<5) (2) Result(s) Of the study patients, 33.3% had no significant fatigue, 25.4% had mild to moderate and 41.3% had significant fatigue. Age, disease duration, number of relapses and EDSS were positively correlated to fatigue severity (P = 0.043, 0.001, 0.008 and <0.001 respectively). Whole brain volume (p 0.001), total and regional WM lesion load, (juxtacortical, periventricular and infratentorial lesion volumes) were significantly correlated with fatigue severity. Sex, GM volume and periventricular lesion count showed no significant correlation. After controlling for age, sex and EDSS, ordinal regression analysis for fatigue severity showed that disease duration and infratentorial lesion volume are the best predictors for fatigue severity. Conclusion(s) The study proved the importance of the disease duration and infratentorial lesion volume (cerebellar and brainstem) as predictors of fatigue severity. Fatigue is a frequent disabling and neglected symptom in multiple sclerosis (MS). Many studies reported fatigue related grey matter atrophy but little is known about the fatigue-related white matter lesion load in relapsing remitting multiple sclerosis (RRMS). We aimed to assess the relation between fatigue and regional WM lesion load, and whole grey matter (GM) and whole brain volumetric measures This is multicenter cross sectional study including 63 patients with RRMS with the mean age 31.94 ± 8.128 years with male/female ratio 18/45. Demographic data, clinical examination, Expanded Disability Status Scale (EDSS), Fatigue Severity Scale (FSS), WM Lesion load and GM volume measured by fully automated, operator-independent, multi-parametric segmentation method of brain MRI were all recorded. The patients were classified into three groups on the basis of FSS score: no fatigue group (FSS≤4), the low to moderate fatigue group (FSS ≥4, ≤5) and the high-fatigue group (FSS<5) (2) Of the study patients, 33.3% had no significant fatigue, 25.4% had mild to moderate and 41.3% had significant fatigue. Age, disease duration, number of relapses and EDSS were positively correlated to fatigue severity (P = 0.043, 0.001, 0.008 and <0.001 respectively). Whole brain volume (p 0.001), total and regional WM lesion load, (juxtacortical, periventricular and infratentorial lesion volumes) were significantly correlated with fatigue severity. Sex, GM volume and periventricular lesion count showed no significant correlation. After controlling for age, sex and EDSS, ordinal regression analysis for fatigue severity showed that disease duration and infratentorial lesion volume are the best predictors for fatigue severity. The study proved the importance of the disease duration and infratentorial lesion volume (cerebellar and brainstem) as predictors of fatigue severity." @default.
• W4362588060 created "2023-04-06" @default.
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• W4362588060 date "2023-03-01" @default.
• W4362588060 modified "2023-09-30" @default.
• W4362588060 title "Fatigue and Regional White Matter Lesion Load in Relapsing Remitting Multiple Sclerosis" @default.
• W4362588060 doi "https://doi.org/10.1016/j.msard.2022.104269" @default.
• W4362588060 hasPublicationYear "2023" @default.
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