Measuring Fatigue in Multiple Sclerosis: A Rapid Review
- PMID: 40880040
- DOI: 10.1007/s40271-025-00759-1
Measuring Fatigue in Multiple Sclerosis: A Rapid Review
Abstract
Background: Fatigue is one of the most prevalent and debilitating symptoms of multiple sclerosis (MS), as people with MS describe it. It has a complex pathogenesis and often precedes the clinical symptoms of MS and potentially indicates disease progression. Given its prevalence, impact, and intricate connections to disease pathology, accurate measurement is crucial to manage and study fatigue in people with MS; however, current measurements often lack content validity. A mismatch between key aspects of fatigue and existing fatigue scales will limit these scales' ability to capture the full scope of MS-related fatigue. We aimed to examine the current evidence on MS-related fatigue to define key aspects of fatigue in the literature and compare them with the scales used to measure MS-related fatigue.
Methods: This integrated rapid review (PROSPERO registration: CRD42024505743) synthesised evidence on MS-related fatigue domains and their representation in validated scales. A systematic search was conducted on January 24, 2024, across three electronic databases: PubMed, Scopus, and ProQuest with no restriction on publication date. Eligible studies included those reporting on fatigue domains, signs and symptoms in people with MS and those on validated fatigue scales in MS. The quality of the included studies was assessed using the Mixed Methods Assessment Tool. Data was synthesised with meta-aggregation of the fatigue domains, signs, and symptoms and mapping them against the items from validated fatigue scales.
Results: We identified 7089 articles and included 85 studies (quantitative: 65; qualitative: 9; mixed methods: 8); 54 investigated fatigue domains, five reported fatigue scale development, and 26 focused on both. The review included 34,984 participants (9814 male; 25,126 female) with a mean age of 47.43 years (range 36-55.4). A total of 791 items related to fatigue domains, signs, symptoms, and experiences were extracted and categorised into three key areas: fatigue triggers, domains, and impacts. We identified eight fatigue triggers (physical, cognitive, psychological, social, medical, lifestyle, temporal, and environmental), five fatigue domains (general, physical, cognitive, psychosocial, and social), and five areas of fatigue impact (global, physical, cognitive, psychological, and social impacts of fatigue). Twenty-nine scales, tests, measures, and indices that measure MS-related fatigue were identified. Nineteen of these were validated by self-reported fatigue scales. The scales fully covered the domains of MS-related fatigue. However, the identified scales did not fully capture medical and lifestyle triggers, as well as psychological and global impacts. Additionally, no single scale fully encompassed all three aspects of fatigue and their corresponding subcategories.
Conclusion: This review demonstrates the importance of integrating the subjective experiences of people with MS into research to ensure that the multidimensional aspects of MS-related fatigue, together with these people's values, needs, and preferences, are captured and used to develop useful, comprehensive, and meaningful tools designed to measure MS-related fatigue. In addition, this clearer discernment of the triggers, domains, and impacts of MS-related fatigue is critical in the clinic and research. Better tools will enable a better understanding of the underlying mechanisms, as well as tracking and managing fatigue.
© 2025. The Author(s).
Conflict of interest statement
Declarations. Funding: Open Access funding enabled and organized by CAUL and its Member Institutions. This review is part of the project “Characterising and measuring fatigue in progressive multiple sclerosis; a person-centred approach” funded by the International Progressive MS Alliance (International Progressive MS Alliance—2023 Well-being RFA, Application ID: PA-2304-41169). Conflict of Interest: The present study’s authors are part of a broader team that has received funding from the International Progressive MS Alliance. Data Availability: Data sharing does not apply to this article as no new data were created or analysed in this study. However, the data are available from the corresponding author upon reasonable request. Author Contributions: Tergel Namsrai – Conceptualisation (support), data curation (lead), formal analysis (equal), visualisation, methodology (equal), project administration (support), software, writing – original draft preparation (lead), writing – editing. Anne Parkinson – Conceptualisation (support), funding acquisition (equal), formal analysis (equal), methodology (equal), project administration (lead). Richard Burns – Conceptualisation (support), funding acquisition (equal), formal analysis (support). Geoffrey Herkes – Conceptualisation (support), funding acquisition (equal), formal analysis (support). Mark Elisha – Conceptualisation (support), formal analysis (support), writing – reviewing and editing (support). Katrina Chisholm – Conceptualisation (support), formal analysis (support), writing – reviewing and editing (support). Janet Drew – Conceptualisation (support), formal analysis (support), writing – reviewing and editing (support). Vanessa Fanning – Conceptualisation (support), funding acquisition (equal), formal analysis (support), writing – reviewing and editing (support). Anne Bruestle – Conceptualisation (support), funding acquisition (lead), visualisation, writing – reviewing and editing (support). Hanna Suominen – Conceptualisation (support), funding acquisition (equal), writing – reviewing and editing (support). Nicolas Cherbuin – Conceptualisation (equal lead), formal analysis (support), funding acquisition (equal), writing – reviewing and editing, supervision (equal). Jane Desborough – Conceptualisation (equal lead), formal analysis (equal), funding acquisition (equal), methodology (equal), writing – reviewing and editing (lead), supervision (equal). Note: Some authors who contributed to the conceptualisation of this review were involved in the broader project design during grant development, prior to the registration of the rapid review protocol on PROSPERO.
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References
-
- Rooney S, et al. Prevalence of fatigue and its association with clinical features in progressive and non-progressive forms of Multiple Sclerosis. Multiple Scler Relat Disord. 2019;28:276–82.
-
- Penner I-K, et al. Exploring the impact of fatigue in progressive multiple sclerosis: a mixed-methods analysis. Multiple Scler Relat Disord. 2020;43:102207.
-
- Nourbakhsh B, Julian L, Waubant E. Fatigue and depression predict quality of life in patients with early multiple sclerosis: a longitudinal study. Eur J Neurol. 2016;23(9):1482–6. - PubMed
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