Real-Time Assessment of Fatigue in Patients With Multiple Sclerosis: How Does It Relate to Commonly Used Self-Report Fatigue Questionnaires?

Autor:	Heine M; Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Center, Amsterdam, The Netherlands; Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and Rehabilitation Center De Hoogstraat, Utrecht, The Netherlands. Electronic address: m.heine@vumc.nl., van den Akker LE; Department of Rehabilitation Medicine, EMGO Research Institute, VU University Medical Center, Amsterdam, The Netherlands., Blikman L; Department of Rehabilitation Medicine, Erasmus Medical Center, Rotterdam, The Netherlands., Hoekstra T; Department of Health Sciences, VU University, Amsterdam, The Netherlands; Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands., van Munster E; Department of Neurology, Jeroen Bosch Ziekenhuis, Den Bosch, The Netherlands., Verschuren O; Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and Rehabilitation Center De Hoogstraat, Utrecht, The Netherlands., Visser-Meily A; Brain Center Rudolf Magnus and Center of Excellence for Rehabilitation Medicine, University Medical Center Utrecht and Rehabilitation Center De Hoogstraat, Utrecht, The Netherlands., Kwakkel G; Department of Rehabilitation Medicine, MOVE Research Institute, VU University Medical Center, Amsterdam, The Netherlands; Department of Neurorehabilitation, Reade Center of Rehabilitation and Rheumatology, Amsterdam, The Netherlands; Department of Physical Therapy and Human Movement Sciences, Northwestern University, Evanston, IL.
Jazyk:	angličtina
Zdroj:	Archives of physical medicine and rehabilitation [Arch Phys Med Rehabil] 2016 Nov; Vol. 97 (11), pp. 1887-1894.e1. Date of Electronic Publication: 2016 May 24.
DOI:	10.1016/j.apmr.2016.04.019
Abstrakt:	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. (Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.)
Databáze:	MEDLINE
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