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      Fatigue characteristics in multiple sclerosis: the North American Research Committee on Multiple Sclerosis (NARCOMS) survey

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          Abstract

          Background

          Fatigue is a common disabling symptom of multiple sclerosis (MS) and has a significantly negative impact on quality of life. Persons with MS enrolled in the North American Research Committee on Multiple Sclerosis (NARCOMS) Patient Registry are invited to complete follow-up surveys every six months to update their original registration information. One of these surveys was designed to focus on the severity and impact of fatigue, and its association with other clinical parameters of MS such as physical disability.

          Methods

          In addition to the usual data collected in Registry update surveys such as demographic characteristics, MS-related medical history, disability and handicap, immunomodulatory and symptomatic therapies taken, and healthcare services used, the survey for this study included two validated self-report fatigue scales, the Fatigue Severity Scale (FSS) and the Modified Fatigue Impact Scale (MFIS) and questions about the use of symptomatic management for fatigue, both pharmacologic and non-pharmacologic treatments. This Registry update survey was mailed to all NARCOMS registrants (n = 18,595) in November 2002. Information provided by registry participants was approved for research purposes by the Yale University Institutional Review Board.

          Results

          The response rate for the survey was 49.5% (9205/18,595). Severe fatigue as measured with the FSS using the developer's recommended severity cutpoint of ≥ 36 was reported by 6691 (74%) of evaluable respondents (n = 9077). A higher prevalence of severe fatigue was observed in relapsing-worsening MS compared with relapsing-stable and primary progressive MS. A distinct pattern of fatigue was observed across the disability levels of the Patient-Determined Disease Steps (PDDS). Although there were no differences in the severity or impact of fatigue by immunomodulatory agents (IMA), respondents who recalled therapy changes in the prior six months reported different patterns of change in fatigue with lower fatigue levels reported after changing from interferon-β to glatiramer acetate than after changing from glatiramer acetate to interferon-β. Concomitant therapy for fatigue was used by 47.2% of the 5799 survey respondents receiving IMA.

          Conclusion

          Characterizing MS symptoms like fatigue can increase awareness about their impact on persons with MS and suggest recommendations for a care plan.

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          Most cited references47

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          Fatigue in multiple sclerosis.

          Fatigue is a frequent symptom in multiple sclerosis (MS) that can interfere with a patient's daily functioning. The cause of MS fatigue, its clinical characteristics, and its relationship to other symptoms remain poorly understood. Structured interviews were conducted with 32 patients with MS and 33 normal healthy adults. Fatigue proved to be both more frequent and more severe among the patients with MS. Multiple sclerosis fatigue was unrelated to either depression or global impairment. Multiple sclerosis fatigue appears to be a distinct clinical entity, often disabling, that can be distinguished from normal fatigue, affective disturbance, and neurologic impairment.
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            Measuring the functional impact of fatigue: initial validation of the fatigue impact scale.

            The fatigue impact scale (FIS) was developed to improve our understanding of the effects of fatigue on quality of life. The FIS examines patients' perceptions of the functional limitations that fatigue has caused over the past month. FIS items reflect perceived impact on cognitive, physical, and psychosocial functioning. This study compared 145 patients referred for investigation of chronic fatigue (ChF) with 105 patients with multiple sclerosis (MS) and 34 patients with mild hypertension (HT). Internal consistency for the FIS and its three subscales was > .87 for all analyses. Fatigue impact was highest for the ChF group although the MS group's reported fatigue also exceeded that of the HT group. Discriminant function analysis correctly classified 80.0% of the ChF group and 78.1% of the MS group when these groups were compared. This initial validation study indicates that the FIS has considerable merit as a measure of patient's attribution of functional limitations to symptoms of fatigue.
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              Quality of life in multiple sclerosis: the impact of depression, fatigue and disability.

              This study deals with the assessment of quality of life and its main clinical and demographical determinants in a clinical series of 103 patients with multiple sclerosis (MS) (37 men; 66 women; mean age 44.89 years; mean disease duration 12.40 years; mean EDSS score 4.07). We used the MSQOL-54 inventory, a disease-specific instrument recently validated in an Italian population. Each patient underwent a complete clinical assessment, including that of disability status (Expanded Disability Status Scale), cognitive function (Mini Mental State Examination), depression (Hamilton Rating Scale for Depression) and fatigue (Fatigue Severity Scale). In terms of Pearson's correlations, there was a moderate inverse relationship between disability level and the MSQOL-54 physical composite score, and a moderate to strong inverse correlation between depression or fatigue severity and both the physical and mental composite scores. In a stepwise linear regression analysis, depression, fatigue and disability level were confirmed to be significant and independent predictors of quality of life. Quality of life instruments can help to provide a broader measure of the disease impact and to develop a care program tailored to the patient's needs.
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                Author and article information

                Journal
                Health Qual Life Outcomes
                Health and Quality of Life Outcomes
                BioMed Central
                1477-7525
                2008
                14 November 2008
                : 6
                : 100
                Affiliations
                [1 ]Department of Neurology, Yale University School of Medicine, New Haven, CT 06510, USA
                [2 ]Barrow Neurological Institute, CMSC/NARCOMS Project, Phoenix, AZ 85013, USA
                [3 ]Health Economics and Outcomes Research, Teva Neuroscience, Inc., Kansas City, MO 64131, USA
                Article
                1477-7525-6-100
                10.1186/1477-7525-6-100
                2596785
                19014588
                01494b4c-2fdb-40be-b5b2-b6dc1356ebbf
                Copyright © 2008 Hadjimichael et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 30 April 2008
                : 14 November 2008
                Categories
                Research

                Health & Social care
                Health & Social care

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