ArticleAnnals of clinical and translational neurology2020
Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies.
Article in Annals of clinical and translational neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Channel Dysfunction as the Basis for Comorbidities in Multiple Sclerosis and Depression.Archiv der Pharmazie · 2026Review
- Usefulness of the MFIS-K, FSS, and FACIT-F Fatigue Scales in Korean Patients With MS, NMOSD, and MOGAD.Journal of clinical neurology (Seoul, Korea) · 2024Article
- The Longitudinal Association between Multiple Frailty Criteria and Depressive Symptomatology Five Years Later in Older Adults: A Decision Tree Modelling Approach.Journal of clinical medicine · 2024Article
- The association between cognition and gait disturbance in central nervous system demyelinating disorder with mild disability.BMC neurology · 2023Article
- Shared imaging markers of fatigue across multiple sclerosis, aquaporin-4 antibody neuromyelitis optica spectrum disorder and MOG antibody disease.Brain communications · 2023Article
- Association of subcortical structural shapes with fatigue in neuromyelitis optica spectrum disorder.Scientific reports · 2022Article
- Pain in NMOSD and MOGAD: A Systematic Literature Review of Pathophysiology, Symptoms, and Current Treatment Strategies.Frontiers in neurology · 2020Review
- Fatigue is a common symptom in myelin oligodendrocyte glycoprotein antibody disease.Multiple sclerosis journal - experimental, translational and clinicalArticle
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Authors and funding
9 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveFatigue is a common and disabling symptom amongst people with multiple sclerosis, however it has not been compared across the central nervous system (CNS) inflammatory diseases associated with aquaporin-4 (AQP4) and myelin oligodendrocyte glycoprotein (MOG) antibodies (Ab). We explored the factors associated with fatigue within and across the two diseases, and compared fatigue levels between them.
methodsWe performed a cross-sectional study of 90 AQP4-Ab and 44 MOG-Ab patients. Fatigue was assessed using the Modified Fatigue Impact Scale (MFIS). Clinical, demographic, and psychometric (anxiety, depression, pain) data were used as independent variables. Multivariable linear regression was used to identify significant independent variables associated with fatigue within and across the two diseases.
resultsWithin AQP4-Ab patients, age (P = 0.002), disease duration (P = 0.004), number of clinical attacks (P = 0.001), disability (P = 0.007), pain interference (P < 0.001), anxiety (P = 0.026), and depression (P < 0.001) were significant independent variables. Interestingly, disease duration had a negative association with fatigue (P = 0.004). Within MOG-Ab patients, pain interference score (P < 0.001) and anxiety (P = 0.001) were significant independent variables. Although fatigue was worse in AQP4-Ab patients compared to MOG-Ab patients (P = 0.008) in all patients as well as in those who ever had transverse myelitis (P = 0.023), this was driven by the differences in age, disability and pain interference rather than antibody subtype itself.
interpretationMultiple factors, but not the antibody specificity, appear to contribute to fatigue in antibody positive CNS inflammatory diseases. A multifaceted treatment approach is needed to better manage the physical, cognitive, and psychosocial aspects of fatigue in these patients.
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