Article

OBJECTIVES: (1) To assess real-time patterns of fatigue; (2) to assess the
association between a real-time fatigue score and 3 commonly used questionnaires
(Checklist Individual Strength [CIS] fatigue subscale, Modified Fatigue Impact
Scale (MFIS), and Fatigue Severity Scale [FSS]); and (3) to establish factors
that confound the association between the real-time fatigue score and the
conventional fatigue questionnaires in patients with multiple sclerosis (MS).
DESIGN: Cross-sectional study. SETTING: MS-specialized outpatient facility.
PARTICIPANTS: Ambulant patients with MS (N=165) experiencing severe self-reported
fatigue. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: A real-time
fatigue score was assessed by sending participants 4 text messages on a
particular day (How fatigued do you feel at this moment ?; score range, 0-10).
Latent class growth mixed modeling was used to determine diurnal patterns of
fatigue. Regression analyses were used to assess the association between the mean
real-time fatigue score and the CIS fatigue subscale, MFIS, and FSS. Significant
associations were tested for candidate confounders (eg, disease severity, work
status, sleepiness). RESULTS: Four significantly different fatigue profiles were
identified by the real-time fatigue score, namely a stable high (n=79),
increasing (n=57), stable low (n=16), and decreasing (n=13). The conventional
questionnaires correlated poorly (r<.300) with the real-time fatigue score. The
Epworth Sleepiness Scale significantly reduced the regression coefficient between
the real-time fatigue score and conventional questionnaires, ranging from 15.4%
to 35%. CONCLUSIONS: Perceived fatigue showed 4 different diurnal patterns in
patients with MS. Severity of sleepiness is an important confounder to take into
account in the assessment of fatigue.
CI - Copyright (c) 2016 American Congress of Rehabilitation Medicine. Published by
Elsevier Inc. All rights reserved.

Langue : ANGLAIS