Literature DB >> 18217185

Physical dimension of fatigue correlated with disability change over time in patients with multiple sclerosis.

Marc Debouverie1, Sophie Pittion-Vouyovitch, Hélène Brissart, Francis Guillemin.   

Abstract

To determine the value of fatigue in predicting the change in disability status in patients with multiple sclerosis (MS), we realized a prospective population-based cohort study of 196 patients with clinically definite MS. In 2002, baseline data were collected on fatigue (Modified Fatigue Impact Scale), health-related quality of life (SF-36), and disability status (EDSS score). The EDSS scores were determined again at least three years later. Univariate and multivariate analysis were performed to determine the predictive value of different dimensions of fatigue and other variables (depression and SF- 36) on the change in disability status. Of the 196 patients, 106 (54%) patients had an unchanged status or improvement and 90 (46%) showed a worsening of disability. After three years, with control for gender, age, and baseline disability status, a high baseline level of physical fatigue was associated with a worsening of disability status, whereas a low baseline level of physical fatigue was associated with the absence of worsening of the EDSS score. Other dimensions of fatigue, depression and SF-36 were not associated with a worsening of disability.A patient's perceived fatigue may be not only a clinically and psychosocially meaningful outcome but also a predictor of objective outcomes such as changes in disability status at three years.

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Year:  2008        PMID: 18217185     DOI: 10.1007/s00415-008-0761-6

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  23 in total

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2.  Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters.

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3.  Value of health-related quality of life to predict disability course in multiple sclerosis.

Authors:  M A J Visschedijk; B M J Uitdehaag; M Klein; E van der Ploeg; E H Collette; L Vleugels; L E M A Pfennings; E L J Hoogervorst; H M van der Ploeg; C H Polman
Journal:  Neurology       Date:  2004-12-14       Impact factor: 9.910

4.  Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern.

Authors:  D C Kroencke; S G Lynch; D R Denney
Journal:  Mult Scler       Date:  2000-04       Impact factor: 6.312

Review 5.  Fatigue in multiple sclerosis.

Authors:  L B Krupp; C Christodoulou
Journal:  Curr Neurol Neurosci Rep       Date:  2001-05       Impact factor: 5.081

6.  Quality of life is favorable for most patients with multiple sclerosis: a population-based cohort study.

Authors:  Sean J Pittock; William T Mayr; Robyn L McClelland; Neal W Jorgensen; Stephen D Weigand; John H Noseworthy; Moses Rodriguez
Journal:  Arch Neurol       Date:  2004-05

7.  Construction and validation of a fatigue impact scale for daily administration (D-FIS).

Authors:  John D Fisk; Susan E Doble
Journal:  Qual Life Res       Date:  2002-05       Impact factor: 4.147

8.  Anxiety and depression influence the relation between disability status and quality of life in multiple sclerosis.

Authors:  A C J W Janssens; P A van Doorn; J B de Boer; N F Kalkers; F G A van der Meche; J Passchier; R Q Hintzen
Journal:  Mult Scler       Date:  2003-08       Impact factor: 6.312

9.  Measuring the functional impact of fatigue: initial validation of the fatigue impact scale.

Authors:  J D Fisk; P G Ritvo; L Ross; D A Haase; T J Marrie; W F Schlech
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10.  Fatigue in MS is associated with specific clinical features.

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Review 2.  Mitochondrial complex enzyme activities and cytochrome C expression changes in multiple sclerosis.

Authors:  Pedro Iñarrea; Raquel Alarcia; María A Alava; José L Capablo; Alvaro Casanova; Cristina Iñiguez; María Iturralde; Pilar Larrodé; Jesús Martín; Enrique Mostacero; José R Ara
Journal:  Mol Neurobiol       Date:  2013-06-13       Impact factor: 5.590

3.  Depression as a predictor of occupational transition in a multiple sclerosis cohort.

Authors:  Scott B Patten; Jeanne V A Williams; Dina H Lavorato; Marcus Koch; Luanne M Metz
Journal:  Funct Neurol       Date:  2013 Oct-Dec

4.  Neutralizing antibodies and fatigue as predictors of low response to interferon-beta treatment in patients with multiple sclerosis.

Authors:  Philippe Manceau; Clotilde Latarche; Sophie Pittion; Gilles Edan; Jérôme de Sèze; Catherine Massart; Marc Debouverie
Journal:  BMC Neurol       Date:  2014-11-30       Impact factor: 2.474

5.  Measuring the quality of life in patients with multiple sclerosis in clinical practice: a necessary challenge.

Authors:  Karine Baumstarck; Laurent Boyer; Mohamed Boucekine; Pierre Michel; Jean Pelletier; Pascal Auquier
Journal:  Mult Scler Int       Date:  2013-02-28

6.  What is the relevance of quality of life assessment for patients with attention impairment?

Authors:  Karine Baumstarck; Mohamed Boucekine; Irina Klemina; Françoise Reuter; Valérie Aghababian; Anderson Loundou; Jean Pelletier; Pascal Auquier
Journal:  Health Qual Life Outcomes       Date:  2013-04-25       Impact factor: 3.186

7.  Quantification of relevance of quality of life assessment for patients with cognitive impairment: the suitability indices.

Authors:  Karine Baumstarck; Mohamed Boucekine; Laurent Boyer; Valérie Aghababian; Nathalie Parola; Françoise Reuter; Anderson Loundou; Christophe Lançon; Jean Pelletier; Pascal Auquier
Journal:  BMC Neurol       Date:  2014-04-08       Impact factor: 2.474

  7 in total

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