Structural MRI measures are associated with fatigue severity and persistence in a large, real-world cohort of people with multiple sclerosis

Background: Results of research on radiological hallmarks of multiple sclerosis (MS) fatigue have been conflicting. Objective: To investigate the associations of lesion and brain compartment volumes with fatigue severity and persistence in people with multiple sclerosis (PwMS). Methods: The Multiple...

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Bibliographic Details
Published in:Multiple sclerosis 2024-05, Vol.30 (6), p.738-746
Main Authors: Simpson, Alexandra C, Hu, Chen, Mowry, Ellen M, Naismith, Robert T, Fitzgerald, Kathryn C, Nourbakhsh, Bardia
Format: Article
Language:English
Subjects:
Adult
Brain - diagnostic imaging
Brain - pathology
Cohort Studies
Fatigue
Fatigue - diagnostic imaging
Fatigue - etiology
Female
Gray Matter - diagnostic imaging
Gray Matter - pathology
Humans
Lesions
Magnetic Resonance Imaging
Male
Middle Aged
Multiple sclerosis
Multiple Sclerosis - complications
Multiple Sclerosis - diagnostic imaging
Multiple Sclerosis - pathology
Neuroimaging
Neurological diseases
Quality of Life
Severity of Illness Index
Substantia grisea
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Summary:Background: Results of research on radiological hallmarks of multiple sclerosis (MS) fatigue have been conflicting. Objective: To investigate the associations of lesion and brain compartment volumes with fatigue severity and persistence in people with multiple sclerosis (PwMS). Methods: The Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) network collects standardized data during routine care of PwMS from 10 healthcare institutions. Magnetic resonance imaging (MRI) predictors included baseline brain parenchymal (BPF) and gray matter fractions (GMF) and T2 lesion volume (T2LV). The Quality of Life in Neurological Disorders (Neuro-QOL) fatigue subscore was analyzed linearly and categorically using T-score cutpoints, with a period of elevated symptoms defined as T-score ⩾ mean + 0.5 SD over follow-up. Results: At baseline, of 4012 participants (average age: 45.6 ± 11.8 years; 73% female; 31% progressive MS), 2058 (51%) had no fatigue, 629 (16%) had mild fatigue, and 1325 (33%) had moderate-to-severe fatigue. One SD greater baseline BPF and GMF were associated with 0.83 (p 
ISSN:1352-4585
1477-0970
DOI:10.1177/13524585241239473