Prevalence of fatigue in MS and its impact on quality of life

Câmara, Nair Assunta Antônia Corso; Bouchra, F.; Obonzo, K.; Vicky, F.; Mouni, F.Z.; Attar, Z.; Eddou, Hicham; Bouchra, E.M.; Abdo, R. Mohamed; Ilham, S.

doi:10.1016/j.jns.2017.08.694

Cited by 1 publication

(1 citation statement)

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“…Patients with MS have described fatigue as “time consuming and all-absorbing,” affecting daily functioning and social activities, lowering self-worth and cognitive ability, and increasing psychological distress, feelings of worthlessness and helplessness due to physical or emotional dependence, and negative feelings, such as despair, sadness, and sorrow [ 41 ]. Although studies have used different measures, fatigue has been repeatedly implicated as one of the factors linked to reduced HRQoL in patients with MS [ 14 , 18 , 37 , 42 – 44 ].…”

Section: Discussionmentioning

confidence: 99%

Exploring humanistic burden of fatigue in adults with multiple sclerosis: an analysis of US National Health and Wellness Survey data

Le,

Ken-Opurum,

LaPrade

et al. 2024

BMC Neurol

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Background This retrospective study examined the humanistic burden of fatigue in patients with relapsing-remitting multiple sclerosis (RRMS), compared with adults without MS, using data from the 2017 and 2019 US National Health and Wellness Survey. Methods The 5-item Modified Fatigue Impact Scale (MFIS-5) was used to assess level of fatigue (MFIS-5 score <15: low fatigue [LF]; MFIS-5 score ≥15: high fatigue [HF]) in patients with RRMS. Health-related quality of life (HRQoL) measures (Short Form 36-Item Health Survey version 2, Euroqol-5 Dimensions-5 Levels [EQ-5D-5L], Patient Health Questionnaire-9 [PHQ-9], Generalized Anxiety Disorder-7 [GAD-7], Perceived Deficits Questionnaire-5) and treatment-related characteristics were assessed. Results In total, 498 respondents were identified as RRMS (n=375 RRMS+LF, n=123 RRMS+HF) and compared with 1,494 matched non-MS controls. RRMS+LF and RRMS+HF had significantly lower Short Form 6 Dimensions health utility, Mental and Physical Component Summary, and EQ-5D-5L scores and higher PHQ-9 and GAD-7 scores, compared with matched non-MS controls (all p<0.001); scores were worse for RRMS+HF than RRMS+LF across all measures (all p<0.001). A higher proportion of RRMS+HF reported moderate-to-severe depression and moderate-to-severe anxiety, compared with RRMS+LF and matched non-MS controls (both p<0.001). Fatigue was a significant predictor of poor HRQoL across all measures (all p<0.001). Conclusions Patients with RRMS experienced lower HRQoL with higher levels of fatigue, highlighting an unmet need. Results may help to inform physician-patient communication and shared decision-making to address fatigue and its associated impact on patients’ HRQoL.

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