Multiple Sclerosis
sclerosis: an expanded disability status scale (EDSS), Neurology, 1983;33:1444–52.
9. 10. 11. 12.
Kurtzke JF, Historical and clinical perspectives of the expanded disability status scale, Neuroepidemiology, 2008;31:1–9.
Hobart J, Freeman J, Thompson A, Kurtzke scales revisited: the application of psychometric methods to clinical intuition, Brain, 2000;123(Pt 5):1027–40.
Barkhof F, MRI in multiple sclerosis: correlation with expanded disability status scale (EDSS), Mult Scler, 1999;5:283–6.
Goodin DS, Magnetic resonance imaging as a surrogate outcome measure of disability in multiple sclerosis: have we been overly harsh in our assessment?, Ann Neurol, 2006;59:597–605.
13. 14.
Minneboo A, Uitdehaag BM, Jongen P, et al., Association between MRI parameters and the MS severity scale: a 12 year follow-up study, Mult Scler, 2009;15:632–7.
Roxburgh RH, Seaman SR, Masterman T, et al., Multiple Sclerosis Severity Score: using disability and disease duration to rate disease severity, Neurology, 2005;64: 1144–51.
15.
Fischer JS, Rudick RA, Cutter GR, et al., The Multiple Sclerosis Functional Composite Measure (MSFC): an integrated approach to MS clinical outcome assessment. National MS Society Clinical Outcomes Assessment Task Force, Mult Scler, 1999;5:244–50.
16. 17. 18. 19. 20.
Polman CH, Rudick RA, The multiple sclerosis functional composite: a clinically meaningful measure of disability, Neurology, 2010;74(Suppl. 3):S8–15.
Cohen JA, Fischer JS, Bolibrush DM, et al., Intrarater and interrater reliability of the MS functional composite outcome measure, Neurology, 2000;54:802–6.
Schwid SR, Goodman AD, McDermott MP, et al., Quantitative functional measures in MS: what is a reliable change?, Neurology, 2002;58:1294–6.
Cella DF, Dineen K, Arnason B, et al., Validation of the functional assessment of multiple sclerosis quality of life instrument, Neurology, 1996;47:129–39.
Kappos L, Freedman MS, Polman CH, et al., Effect of early versus delayed interferon beta-1b treatment on disability after a first clinical event suggestive of multiple sclerosis: a 3-year follow-up analysis of the BENEFIT study, Lancet, 2007;370:389–97.
21. 22. 23.
Feeny D, Furlong W, Boyle M, et al., Multi-attribute health status classification systems. Health Utilities Index, Pharmacoeconomics, 1995;7:490–502.
Ramp M, Khan F, Misajon RA, et al., Rasch analysis of the Multiple Sclerosis Impact Scale MSIS-29, Health Qual Life Outcomes, 2009;7:58.
Freeman JA, Hobart JC, Langdon DW, et al., Clinical appropriateness: a key factor in outcome measure selection: the 36 item short form health survey in multiple sclerosis, J Neurol Neurosurg Psychiatry, 2000;68:150–56.
24. 25.
Hobart J, Freeman J, Lamping D, et al., The SF-36 in multiple sclerosis: why basic assumptions must be tested, J Neurol Neurosurg Psychiatry, 2001;71:363–70.
Zwibel HL, Contribution of impaired mobility and general symptoms to the burden of multiple sclerosis, Adv Ther,
2010;26:1043–57. 26. 27. 28. 29.
Kelleher KJ, Spence W, Solomonidis S, et al., The characterisation of gait patterns of people with multiple sclerosis, Disabil Rehabil, 2010;32(15):1242–50.
Martin CL, Phillips BA, Kilpatrick TJ, et al., Gait and balance impairment in early multiple sclerosis in the absence of clinical disability, Mult Scler, 2006;12:620–28.
McConvey J, Bennett SE, Reliability of the Dynamic Gait Index in individuals with multiple sclerosis, Arch Phys Med Rehabil, 2005;86:130–33.
Arnold CM, Faulkner RA, The history of falls and the association of the timed up and go test to falls and near- falls in older adults with hip osteoarthritis, BMC Geriatr, 2007;7:17.
30. 31.
Berg KO, Maki BE, Williams JI, et al., Clinical and laboratory measures of postural balance in an elderly population, Arch Phys Med Rehabil, 1992;73:1073–80.
Bischoff HA, Stahelin HB, Monsch AU, et al., Identifying a cut-off point for normal mobility: a comparison of the timed 'up and go' test in community-dwelling and institutionalised elderly women, Age Ageing, 2003;32:315–20.
32.
Botolfsen P, Helbostad JL, Moe-Nilssen R, et al., Reliability and concurrent validity of the Expanded Timed Up-and-Go test in older people with impaired mobility, Physiother Res Int, 2008;13:94–106.
33. 34. 35. 36.
Boulgarides LK, McGinty SM, Willett JA, et al., Use of clinical and impairment-based tests to predict falls by community- dwelling older adults, Phys Ther, 2003;83:328–39.
Dibble LE, Lange M, Predicting falls in individuals with Parkinson disease: a reconsideration of clinical balance measures, J Neurol Phys Ther, 2006;30:60–67.
Nilsagard Y, Lundholm C, Denison E, et al., Predicting accidental falls in people with multiple sclerosis – a longitudinal study, Clin Rehabil, 2009;23:259–69.
Nilsagard Y, Lundholm C, Gunnarsson LG, et al., Clinical relevance using timed walk tests and ‘timed up and go’ testing in persons with multiple sclerosis, Physiother Res Int, 2007;12:105–14.
37. 38. 39. 40. 41. 42. 43.
Kaufman M, Moyer D, Norton J, The significant change for the Timed 25-foot Walk in the multiple sclerosis functional composite, Mult Scler, 2000;6:286–90.
Rudick RA, Cutter G, Reingold S, The multiple sclerosis functional composite: a new clinical outcome measure for multiple sclerosis trials, Mult Scler, 2002;8:359–65.
Nieuwenhuis MM, Van Tongeren H, Sorensen PS, et al., The six spot step test: a new measurement for walking ability in multiple sclerosis, Mult Scler, 2006;12:495–500.
Bogle Thorbahn LD, Newton RA, Use of the Berg Balance Test to predict falls in elderly persons, Phys Ther, 1996;76: 576–83, discussion 84–5.
Kegelmeyer DA, Kloos AD, Thomas KM, et al., Reliability and validity of the Tinetti Mobility Test for individuals with Parkinson disease, Phys Ther, 2007;87:1369–78.
Hageman PA, Leibowitz JM, Blanke D, Age and gender effects on postural control measures, Arch Phys Med Rehabil, 1995;76:961–5.
Loughran S, Gatehouse S, Kishore A, et al., Does patient- perceived handicap correspond to the modified clinical test for the sensory interaction on balance?, Otol Neurotol, 2006;27:86–91.
56. 57. 53. 45. 44.
Snook EM, Motl RW, Gliottoni RC, The effect of walking mobility on the measurement of physical activity using accelerometry in multiple sclerosis, Clin Rehabil, 2009;23: 248–58.
Weikert M, Motl RW, Suh Y, et al., Accelerometry in persons with multiple sclerosis: measurement of physical activity or walking mobility?, J Neurol Sci, 2010;290:6–11.
46. 47. 48.
Sacco R, Bussman R, Oesch P, et al., Change of gait parameters and fatigue in MS patients during inpatient rehabilitation, J Neurol, 2010; in press.
Cutter GR, Baier ML, Rudick RA, et al., Development of a multiple sclerosis functional composite as a clinical trial outcome measure, Brain, 1999;122(Pt 5):871–82.
Ravnborg M, Blinkenberg M, Sellebjerg F, et al., Responsiveness of the Multiple Sclerosis Impairment Scale in comparison with the Expanded Disability Status Scale, Mult Scler, 2005;11:81–4.
49. 50. 51. 52.
Riazi A, Thompson AJ, Hobart JC, Self-efficacy predicts self-reported health status in multiple sclerosis, Mult Scler, 2004;10:61–6.
Koziol JA, Lucero A, Sipe JC, et al., Responsiveness of the Scripps neurologic rating scale during a multiple sclerosis clinical trial, Can J Neurol Sci, 1999;26:283–9.
Sipe JC, Knobler RL, Braheny SL, et al., A neurologic rating scale (NRS) for use in multiple sclerosis, Neurology, 1984;34:1368–72.
Krokavcova M, van Dijk JP, Nagyova I, et al., Perceived health status as measured by the SF-36 in patients with multiple sclerosis: a review, Scand J Caring Sci, 2009;23:529–38.
van der Putten JJ, Hobart JC, Freeman JA, et al., Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the Barthel index and the Functional Independence Measure, J Neurol Neurosurg Psychiatry, 1999;66:480–84.
54. 55.
Goldman MD, Marrie RA, Cohen JA, Evaluation of the six-minute walk in multiple sclerosis subjects and healthy controls, Mult Scler, 2008;14:383–90.
Hauser SL, Dawson DM, Lehrich JR, et al., Intensive immunosuppression in progressive multiple sclerosis. A randomized, three-arm study of high-dose intravenous cyclophosphamide, plasma exchange, and ACTH, N Engl J Med, 1983;308:173–80.
Krebs DE, Edelstein JE, Fishman S, Reliability of observational kinematic gait analysis, Phys Ther, 1985;65:1027–33.
Brousseau L, Wolfson C, The inter-rater reliability and construct validity of the Functional Independence Measure for multiple sclerosis subjects, Clin Rehabil, 1994;8:107–15.
58. 59. 60.
Granger CV, Fielder RC, The reliability of the FIM: a quantitative review, Arch Phys Med Rehabil, 1996;77:1226–32.
Collen FM, Wade DT, Robb GF, et al., The Rivermead Mobility Index: a further development of the Rivermead Motor Assessment, Int Disabil Stud, 1991;13:50–54.
Hobart J, Cano S, Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods, Health Technol Assess, 2009;13:iii, ix–x:1–177.
68
EUROPEAN NEUROLOGICAL REVIEW
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52 |
Page 53 |
Page 54 |
Page 55 |
Page 56 |
Page 57 |
Page 58 |
Page 59 |
Page 60 |
Page 61 |
Page 62 |
Page 63 |
Page 64 |
Page 65 |
Page 66 |
Page 67 |
Page 68 |
Page 69 |
Page 70 |
Page 71 |
Page 72 |
Page 73 |
Page 74 |
Page 75 |
Page 76 |
Page 77 |
Page 78 |
Page 79 |
Page 80 |
Page 81 |
Page 82 |
Page 83 |
Page 84 |
Page 85 |
Page 86 |
Page 87 |
Page 88 |
Page 89 |
Page 90 |
Page 91 |
Page 92 |
Page 93 |
Page 94 |
Page 95 |
Page 96 |
Page 97 |
Page 98 |
Page 99 |
Page 100 |
Page 101 |
Page 102 |
Page 103 |
Page 104 |
Page 105 |
Page 106 |
Page 107 |
Page 108 |
Page 109 |
Page 110 |
Page 111 |
Page 112 |
Page 113 |
Page 114 |
Page 115 |
Page 116