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Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies

OBJECTIVE: Fatigue 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 th...

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Autores principales: Yeo, Tianrong, dos Passos, Giordani Rodrigues, Muhammed, Louwai, Everett, Rosie, Reeve, Sandra, Messina, Silvia, Probert, Fay, Leite, Maria Isabel, Palace, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086003/
https://www.ncbi.nlm.nih.gov/pubmed/32187851
http://dx.doi.org/10.1002/acn3.51008
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author Yeo, Tianrong
dos Passos, Giordani Rodrigues
Muhammed, Louwai
Everett, Rosie
Reeve, Sandra
Messina, Silvia
Probert, Fay
Leite, Maria Isabel
Palace, Jacqueline
author_facet Yeo, Tianrong
dos Passos, Giordani Rodrigues
Muhammed, Louwai
Everett, Rosie
Reeve, Sandra
Messina, Silvia
Probert, Fay
Leite, Maria Isabel
Palace, Jacqueline
author_sort Yeo, Tianrong
collection PubMed
description OBJECTIVE: Fatigue 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. METHODS: We 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. RESULTS: Within 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. INTERPRETATION: Multiple 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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spelling pubmed-70860032020-03-24 Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies Yeo, Tianrong dos Passos, Giordani Rodrigues Muhammed, Louwai Everett, Rosie Reeve, Sandra Messina, Silvia Probert, Fay Leite, Maria Isabel Palace, Jacqueline Ann Clin Transl Neurol Research Articles OBJECTIVE: Fatigue 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. METHODS: We 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. RESULTS: Within 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. INTERPRETATION: Multiple 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. John Wiley and Sons Inc. 2020-03-18 /pmc/articles/PMC7086003/ /pubmed/32187851 http://dx.doi.org/10.1002/acn3.51008 Text en © 2020 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals, Inc on behalf of American Neurological Association. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Yeo, Tianrong
dos Passos, Giordani Rodrigues
Muhammed, Louwai
Everett, Rosie
Reeve, Sandra
Messina, Silvia
Probert, Fay
Leite, Maria Isabel
Palace, Jacqueline
Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title_full Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title_fullStr Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title_full_unstemmed Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title_short Factors associated with fatigue in CNS inflammatory diseases with AQP4 and MOG antibodies
title_sort factors associated with fatigue in cns inflammatory diseases with aqp4 and mog antibodies
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7086003/
https://www.ncbi.nlm.nih.gov/pubmed/32187851
http://dx.doi.org/10.1002/acn3.51008
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