A rapid screening tool for fatigue impact in multiple sclerosis

Daphne Kos, Guy Nagels, Marie B D'Hooghe, Marijke Duportail, Eric Kerckhofs, Daphne Kos, Guy Nagels, Marie B D'Hooghe, Marijke Duportail, Eric Kerckhofs

Abstract

Background: Fatigue is a common complaint in multiple sclerosis (MS) and often interferes with daily functioning. Both clinicians and researchers may need to detect high levels of fatigue impact using a time and effort efficient tool. This study evaluates the psychometric properties of a rapid screening instrument for fatigue impact in multiple sclerosis.

Methods: Three visual analogue scales (VAS) for assessing the impact of fatigue were developed. Sixty two subjects with definite MS (mean age 52 +/- 10.5 years; 29 women) and 24 healthy controls (mean age 52 +/- 14 years; 13 women) completed all VAS scales (range 0-100), the Fatigue Severity Scale (FSS) (range 7-63), the Modified Fatigue Impact Scale (MFIS) (range 0-84) and the Guy's Neurological Disability Scale (GNDS) (range 0-5). All tests were repeated with an interval of maximum three days. To evaluate the reproducibility, intraclass correlations (ICC) were calculated, based on one-way analysis of variance for repeated measurements. Validity was considered by means of correlation coefficients. ROC analysis was used to determine the accuracy of the VAS scales.

Results: The ICC of the VAS scales ranged from 0.68 to 0.69. VAS scales showed low to moderate correlation with FSS, MFIS and GNDS (Kendall's tau 0.23-0.45) and were not related with physical or cognitive performance, or with depression. All VAS scales were able to discriminate between subjects with MS and controls. Twenty five subjects with MS had a Fatigue Severity Scale score of 36 or more and were classified into the "fatigue" group. ROC analysis showed that VAS_1 is most useful to classify subjects in the "fatigue" group. A cut-off value of VAS_1 of 59 displayed 76% sensitivity and 72% specificity. When using the MFIS score of 40 or more to classify the groups, VAS_1 remained the strongest tool, with 81% sensitivity and 77% specificity at a cut-off value of 59.

Conclusion: The VAS for the impact of fatigue on daily life (VAS_1) is a moderately reliable, though valid and useful tool to screen rapidly for fatigue impact in multiple sclerosis. A cut-off value of 59 satisfactorily classifies individuals having severe fatigue with a high impact on daily life. In clinical practice, a more comprehensive assessment of fatigue and the impact on daily life is recommended.

Figures

Figure 1
Figure 1
Visual Analogue Scales for the impact of fatigue.
Figure 2
Figure 2
Difference in VAS_1 scores between first and second assessment.
Figure 3
Figure 3
Difference in VAS_2 scores between first and second assessment.
Figure 4
Figure 4
Difference in VAS_3 scores between first and second assessment.
Figure 5
Figure 5
Distribution of VAS scores in healthy controls and persons with MS. Boxes represent 25–75% of the cases; whiskers are minimum and maximum values, lines: median values, °: outliers, *: extreme values. Differences between groups are statistically significant (Mann Whitney U test, p < 0.0001).
Figure 6
Figure 6
Scores of the VAS scales in subjects with low versus high fatigue (based on FSS). Boxes represent 25–75% of the cases; whiskers are minimum and maximum values, lines: median values, °: outliers. Differences between groups are statistically significant (Mann Whitney U test, p < 0.0001).
Figure 7
Figure 7
Scores of the VAS scales in subjects with low versus high impact of fatigue (based on MFIS). Boxes represent 25–75% of the cases; whiskers are minimum and maximum values, lines: median values, °: outliers. Differences between groups are statistically significant (Mann Whitney U test, p < 0.0001).

References

    1. Krupp LB. Fatigue. Philadelphia, Elsevier Science; 2003. (The most common complaints).
    1. Pompeii LA, Moon SD, McCrory DC. Measures of physical and cognitive function and work status among individuals with multiple sclerosis: a review of the literature. J Occup Rehabil. 2005;15:69–84. doi: 10.1007/s10926-005-0875-y.
    1. Kos D, Kerckhofs E, Ketelaer P, Duportail M, Nagels G, D'Hooghe MB, Nuyens G. Self-report assessment of fatigue in multiple sclerosis: a critical evaluation. Occupational Therapy in Health Care. 2003;17:45–62. doi: 10.1300/J003v17n03_06.
    1. Guyatt GH, Townsend M, Berman LB, Keller JL. A comparison of Likert and visual analogue scales for measuring change in function. J Chronic Dis. 1987;40:1129–1133. doi: 10.1016/0021-9681(87)90080-4.
    1. Lee KA, Hicks G, Nino-Murcia G. Validity and reliability of a scale to assess fatigue. Psychiatry Res. 1991;36:291–298. doi: 10.1016/0165-1781(91)90027-M.
    1. Rao S. A manual for the brief, repeatable battery of neuropsychological tests in multiple sclerosis. New York, National Multiple Sclerosis Society; 1990.
    1. Multiple Sclerosis Council for Clinical Practice Guidelines . Fatigue and multiple sclerosis: evidence-based management strategies for fatigue in multiple sclerosis. Washington (DC), Paralyzed Veterans of America; 1998. pp. 1–33.
    1. Kos D, Kerckhofs E, Nagels G, D'Hooghe BD, Duquet W, Duportail M, Ketelaer P. Assessing fatigue in multiple sclerosis: Dutch modified fatigue impact scale. Acta Neurol Belg. 2003;103:185–191.
    1. Kos D, Kerckhofs E, Carrea I, Verzo R, Ramos M, Jansa J. Evaluation of the Modified Fatigue Impact Scale in four different European countries. Mult Scler. 2005;11:76–80. doi: 10.1191/1352458505ms1117oa.
    1. Krupp LB, LaRocca NG, Muir-Nash J, Steinberg AD. The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus. Arch Neurol. 1989;46:1121–1123.
    1. Sharrack B, Hughes RA. The Guy's Neurological Disability Scale (GNDS): a new disability measure for multiple sclerosis. Mult Scler. 1999;5:223–233. doi: 10.1191/135245899678846131.
    1. Nuyens G, Van Asch P, Kerckhofs E, Vleugels L, Duportail M, Ketelaer P. The UK neurological disability scale: reliability and relation with the narcoms performance scale. Int J MS Care. 2002;4:5.
    1. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS) Neurology. 1983;33:1444–1452.
    1. Keith RA, Granger CV, Hamilton BB, Sherwin SS. The functional independence measure: a new tool for rehabilitation. In: Eisenberg MB and Grzesiak RC, editor. Advances in clinical rehabilitation, Vol 1. New York, Springer-Verlag; 1987. pp. 6–18.
    1. Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis. I. Frequency, patterns, and prediction. Neurology. 1991;41:685–691.
    1. Zung WW. A self-rating depression scale. Arch Gen Psychiatry. 1965;12:63–70.
    1. Rankin G, Stokes M. Reliability of assessment tools in rehabilitation: an illustration of appropriate statistical analyses. Clin Rehabil. 1998;12:187–199. doi: 10.1191/026921598672178340.
    1. Flachenecker P, Kumpfel T, Kallmann B, Gottschalk M, Grauer O, Rieckmann P, Trenkwalder C, Toyka KV. Fatigue in multiple sclerosis: a comparison of different rating scales and correlation to clinical parameters. Mult Scler. 2002;8:523–526. doi: 10.1191/1352458502ms839oa.
    1. Chipchase SY, Lincoln NB, Radford KA. Measuring fatigue in people with multiple sclerosis. Disabil Rehabil. 2003;25:778–784. doi: 10.1080/0963828031000093477.
    1. Bakshi R, Shaikh ZA, Miletich RS, Czarnecki D, Dmochowski J, Henschel K, Janardhan V, Dubey N, Kinkel PR. Fatigue in multiple sclerosis and its relationship to depression and neurologic disability. Mult Scler. 2000;6:181–185. doi: 10.1191/135245800701566052.
    1. Lobentanz IS, Asenbaum S, Vass K, Sauter C, Klosch G, Kollegger H, Kristoferitsch W, Zeitlhofer J. Factors influencing quality of life in multiple sclerosis patients: disability, depressive mood, fatigue and sleep quality. Acta Neurol Scand. 2004;110:6–13. doi: 10.1111/j.1600-0404.2004.00257.x.
    1. Kroencke DC, Lynch SG, Denney DR. Fatigue in multiple sclerosis: relationship to depression, disability, and disease pattern. Mult Scler. 2000;6:131–136. doi: 10.1191/135245800678827590.
    1. Randolph JJ, Arnett PA, Higginson CI, Voss WD. Neurovegetative Symptoms in Multiple Sclerosis: Relationship to Depressed Mood, Fatigue, and Physical Disability. Arch Clin Neuropsychol. 2000;15:387–398. doi: 10.1016/S0887-6177(99)00030-X.
    1. Voss WD, Arnett PA, Higginson CI, Randolph JJ, Campos MD, Dyck DG. Contributing factors to depressed mood in multiple sclerosis. Arch Clin Neuropsychol. 2002;17:103–115. doi: 10.1016/S0887-6177(00)00094-9.
    1. Chwastiak LA, Gibbons LE, Ehde DM, Sullivan M, Bowen JD, Bombardier CH, Kraft GH. Fatigue and psychiatric illness in a large community sample of persons with multiple sclerosis. J Psychosom Res. 2005;59:291–298. doi: 10.1016/j.jpsychores.2005.06.001.
    1. Pittion-Vouyovitch S, Debouverie M, Guillemin F, Vandenberghe N, Anxionnat R, Vespignani H. Fatigue in multiple sclerosis is related to disability, depression and quality of life. J Neurol Sci. 2006;243:39–45. doi: 10.1016/j.jns.2005.11.025.
    1. Schreurs KMG, de Ridder DTD, Bensing JM. Fatigue in multiple sclerosis - Reciprocal relationships with physical disabilities and depression. J Psychosom Res. 2002;53:775–781. doi: 10.1016/S0022-3999(02)00326-4.
    1. Krupp LB, Elkins LE. Fatigue and declines in cognitive functioning in multiple sclerosis. Neurology. 2000;55:934–939.
    1. Schwid SR, Thornton CA, Pandya S, Manzur KL, Sanjak M, Petrie MD, McDermott MP, Goodman AD. Quantitative assessment of motor fatigue and strength in MS. Neurology. 1999;53:743–750.
    1. Schwid SR, Tyler CM, Scheid EA, Weinstein A, Goodman AD, McDermott MP. Cognitive fatigue during a test requiring sustained attention: a pilot study. Mult Scler. 2003;9:503–508. doi: 10.1191/1352458503ms946oa.
    1. Kos D, Kerckhofs E, Nagels G, Geentjens L. Cognitive fatigue in multiple sclerosis: comment on Schwid SR, Tyler CM, Scheid EA, Weinstein A, Goodman AD and McDermott MR. Mult Scler. 2004;10:337. doi: 10.1191/1352458504ms1011xx.
    1. Surakka J, Romberg A, Ruutiainen J, Virtanen A, Aunola S, Maentaka K. Assessment of muscle strength and motor fatigue with a knee dynamometer in subjects with multiple sclerosis: a new fatigue index. Clin Rehabil. 2004;18:652–659. doi: 10.1191/0269215504cr781oa.

Source: PubMed

3
購読する