Fatigue and depression predict quality of life in patients with early multiple sclerosis: a longitudinal study.

Abstract:

BACKGROUND AND PURPOSE:The clinical predictors of health-related quality of life (HRQoL) in multiple sclerosis (MS) have mainly been studied in patients with long-standing disease. The objective of this study was to investigate the longitudinal association among HRQoL and clinical characteristics in early MS. METHODS:Relapsing MS patients within 12 months of clinical onset were enrolled in a neuroprotection trial of riluzole versus placebo as an add-on to weekly interferon with up to 36 months of follow-up. Serial clinical measures included Short Form-36 (SF-36) as the measure of HRQoL, MS Functional Composite (as a measure of disability), Modified Fatigue Impact Scale, Patient Health Questionnaire-9 (as a measure of depression) and a cognitive battery. Multivariable linear regression analyses assessed cross-sectional associations. Mixed model regressions with mutual adjustments were used to assess the longitudinal association of HRQoL components and clinical, cognitive and demographic variables. RESULTS:Forty-three patients were enrolled within 7.5 ± 4.9 months of clinical onset (72% female, mean age 36 years). The baseline severity of fatigue and depression predicted subsequent changes in SF-36 Physical Component Summary (PCS) (P values of 0.001 and 0.021, respectively). In longitudinal analyses, changes in disability and depression were associated with changes in SF-36 PCS (P values of 0.002 and 0.009, respectively), whereas changes in cognitive function and fatigue were associated with changes in SF-36 Mental Component Summary (P values of 0.037 and 0.001, respectively). A 1-unit increase in MS Functional Composite was associated with a 7.1-point increase in SF-36 PCS (95% CI, 2.6-11.6). CONCLUSIONS:Fatigue, depression, cognition and disability are independently associated with HRQoL in early MS.

journal_name

Eur J Neurol

authors

Nourbakhsh B,Julian L,Waubant E

doi

10.1111/ene.13102

subject

Has Abstract

pub_date

2016-09-01 00:00:00

pages

1482-6

issue

9

eissn

1351-5101

issn

1468-1331

journal_volume

23

pub_type

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