Predictors of patient-reported fatigue symptom severity in a nationwide multiple sclerosis cohort

Background: Fatigue is a debilitating symptom of multiple sclerosis (MS), but its relation to sociodemographic and disease-related characteristics has not been investigated in larger studies. The objectives of this study were to evaluate predictors of self-reported fatigue in a Swedish nationwide register-based MS cohort.Methods: Using a repeated cross-sectional design, we included 2,165 persons with relapsing-remitting and secondary progressive MS with one or multiple Fatigue Scale for Motor and Cognitive Functions (FSMC) scores, which was modelled using multivariable linear regressions for multiple predictors.Results: Only associations to expanded disability status scale (EDSS) and Symbol Digit Modalities Test (SDMT) were considered clinically meaningful among MS-associated characteristics in our main model; compared to mild disability (EDSS 0-2.5), those with severe disability (EDSS >= 6) scored 17.6 (95% CI 13.1-22.2) FSMC points higher, while the difference was 10.7 (95% CI 8.0-13.4) points for the highest and lowest quartiles of SDMT. Differences between highest and lowest quartiles of health-related quality of life (HRQoL) instruments were even greater and considered clinically meaningful; EuroQoL Visual Analogue Scale (EQ-VAS) 31.9 (95% CI 29.9-33.8), Multiple Sclerosis Impact Scale (MSIS-29) psychological component 35.6 (95% CI 33.8-37.4) and MSIS-29 physical component 45.5 (95% CI 43.7-47.4).Conclusion: Higher self-reported fatigue is associated with higher disability level and worse cognitive processing speed, while associations to other MS-associated characteristics including MS type, line of disease modifying therapy (DMT), MS duration, relapse and new cerebral lesions are weak. Furthermore, we found a strong correlation between high fatigue rating and lower ratings on health-related quality of life instruments.Funding Agencies|Patient-Centered Outcomes Research Institute (PCORI) Award [MS-1511-33196]; Swedish Research Council [2020-02700, TF 2016-01355]; Swedish Research Council for Health, Working Life, and Welfare [2020-0115]; NEURO Sweden