Robotic-assisted step training (Lokomat) not superior to equal intensity of over-ground rehabilitation in patients with multiple sclerosis

Neurorehabilitation and Neural Repair

Volumn 26, Issue 3, 2012, Pages 212-221

  Vaney, Claude ^a   Gattlen, Brigitte ^a   Lugon Moulin, Véronique ^a,b,c   Meichtry, André ^b,c   Hausammann, Rita ^a   Foinant, Denise ^a   Anchisi Bellwald, Anne Marie ^a   Palaci, Cécilia ^a   Hilfiker, Roger ^b,c,d  

^a Berner Klinik Montana   (Switzerland)

^b UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

^c ReSaR: Reseau d'Etudes Appliques des Pratiques de Sante de Readaptation insertion   (Switzerland)

^d SUVA   (Switzerland)

Author keywords

multiple sclerosis; physical therapy; rehabilitation; robot assisted gait training

Indexed keywords

ACCELEROMETER; ADULT; AGED; ARTICLE; BERG BALANCE SCALE; BODY EQUILIBRIUM; CLINICAL ARTICLE; CLINICAL ASSESSMENT TOOL; CONTROLLED STUDY; EXPANDED DISABILITY STATUS SCALE; FATIGUE; FEMALE; GAIT; HUMAN; INTERMETHOD COMPARISON; MALE; METABOLIC EQUIVALENT; MULTIPLE SCLEROSIS; OUTCOME ASSESSMENT; OVER GROUND WALKING TRAINING; PHYSICAL ACTIVITY; QUALITY OF LIFE; RANDOMIZED CONTROLLED TRIAL; ROBOT ASSISTED GAIT TRAINING; ROBOTICS; VISUAL ANALOG SCALE; WALKING; WALKING SPEED; WELL BEING VISUAL ANALOGUE SCALE;

ADULT; AGED; DISABILITY EVALUATION; EXERCISE THERAPY; FEMALE; GAIT DISORDERS, NEUROLOGIC; HUMANS; MALE; META-ANALYSIS AS TOPIC; MIDDLE AGED; MULTIPLE SCLEROSIS; ORTHOTIC DEVICES; PAIN MEASUREMENT; POSTURAL BALANCE; QUALITY OF LIFE; RETROSPECTIVE STUDIES; ROBOTICS; SEVERITY OF ILLNESS INDEX; TREATMENT OUTCOME; WALKING; WEIGHT-BEARING;

EID: 84857341836     PISSN: 15459683     EISSN: 15526844     Source Type: Journal    
DOI: 10.1177/1545968311425923     Document Type: Article

References (41)

1. Heesen C, Böhm J, Reich C, Kasper J, Goebel M, Gold SM. Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler. 2008 ; 14: 988-991
2. Fritz S, Lusardi M. White paper: "walking speed: the sixth vital sign". J Geriatr Phys Ther. 2009 ; 32: 2-5
3. 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: 620-628 (Pubitemid 46947926)
4. Benedetti MG, Piperno R, Simoncini L, Bonato P, Tonini A, Giannini S. Gait abnormalities in minimally impaired multiple sclerosis patients. Mult Scler. 1999 ; 5: 363-368 (Pubitemid 29505052)
5. Thoumie P, Lamotte D, Cantalloube S, Faucher M, Amarenco G. Motor determinants of gait in 100 ambulatory patients with multiple sclerosis. Mult Scler. 2005 ; 11: 485-491 (Pubitemid 40984246)
6. Olgiati R, Burgunder JM, Mumenthaler M. Increased energy cost of walking in multiple sclerosis: effect of spasticity, ataxia, and weakness. Arch Phys Med Rehabil. 1988 ; 69: 846-849
7. Sacco R, Bussman R, Oesch P, Kesselring J, Beer S. Assessment of gait parameters and fatigue in MS patients during inpatient rehabilitation: a pilot trial. J Neurol. 2011 ; 258: 889-894
8. de Groot V, Beckerman H, Twisk JW, et al. Vitality, perceived social support and disease activity determine the performance of social roles in recently diagnosed multiple sclerosis: a longitudinal analysis. J Rehabil Med. 2008 ; 40: 151-157 (Pubitemid 351404002)
9. Cantalloube S, Monteil I, Lamotte D, Mailhan L, Thoumie P. Strength, postural and gait changes following rehabilitation in multiple sclerosis: a preliminary study [in French]. Ann Readapt Med Phys. 2006 ; 49: 143-149
10. Rodgers MM, Mulcare JA, King DL, Mathews T, Gupta SC, Glaser RM. Gait characteristics of individuals with multiple sclerosis before and after a 6-month aerobic training program. J Rehabil Res Dev. 1999 ; 36: 183-188
11. Smedal T, Lygren H, Myhr KM, et al. Balance and gait improved in patients with MS after physiotherapy based on the Bobath concept. Physiother Res Int. 2006 ; 11: 104-116
12. Hidler JM, Wall AE. Alterations in muscle activation patterns during robotic-assisted walking. Clin Biomech (Bristol, Avon). 2005 ; 20: 184-193 (Pubitemid 40038182)
13. Lo AC, Triche EW. Improving gait in multiple sclerosis using robot-assisted, body weight supported treadmill training. Neurorehabil Neural Repair. 2008 ; 22: 661-671
14. Beer S, Aschbacher B, Manoglou D, Gamper E, Kool J, Kesselring J. Robot-assisted gait training in multiple sclerosis: a pilot randomized trial. Mult Scler. 2008 ; 14: 231-236 (Pubitemid 351639632)
15. Dobkin B, Apple D, Barbeau H, et al. Weight-supported treadmill vs over-ground training for walking after acute incomplete SCI. Neurology. 2006 ; 66: 484-493
16. Duncan P, Sullivan K, Behrman A, et al. Body weight supported treadmill rehabilitation after stroke. N Engl J Med. 2011 ; 364: 2026-2036
17. Hidler J, Nichols D, Pelliccio M, et al. Multicenter randomized clinical trial evaluating the effectiveness of the Lokomat in subacute stroke. Neurorehabil Neural Repair. 2009 ; 23: 5-13
18. Swinnen E, Duerinck S, Baeyens JP, Meeusen R, Kerckhofs E. Effectiveness of robot-assisted gait training in persons with spinal cord injury: a systematic review. J Rehabil Med. 2010 ; 42: 520-526
19. Wirz M, Zemon DH, Rupp R, et al. Effectiveness of automated locomotor training in patients with chronic incomplete spinal cord injury: a multicenter trial. Arch Phys Med Rehabil. 2005 ; 86: 672-680 (Pubitemid 40487831)
20. Zipoli V, Portaccio E, Siracusa G, Pracucci G, Sorbi S, Amato MP. Interobserver agreement on Poser's and the new McDonald's diagnostic criteria for multiple sclerosis. Mult Scler. 2003 ; 9: 481-485 (Pubitemid 37287728)
21. Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an Expanded Disability Status Scale (EDSS). Neurology. 1983 ; 33: 1444-1452 (Pubitemid 14237132)
22. Colombo G, Joerg M, Schreier R, Dietz V. Treadmill training of paraplegic patients using a robotic orthosis. J Rehabil Res Dev. 2000 ; 37: 693-700
23. The General Well-Being Schedule. Dupuy H McDowell I Newell C, ed. Oxford, UK: Oxford University Press ; 1977 :
24. Greiner W, Weijnen T, Nieuwenhuizen M, et al. A single European currency for EQ-5D health states. Eur J Health Econ. 2003 ; 4: 222-231
25. Crouter SE, Clowers KG, Bassett DR. A novel method for using accelerometer data to predict energy expenditure. J Appl Physiol. 2006 ; 100: 1324-1331 (Pubitemid 43671491)
26. Pate RR, Pratt M, Blair SN, et al. Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. JAMA. 1995 ; 273: 402-407
27. Haskell WL, Lee IM, Pate RR, et al. Physical activity and public health: updated recommendation for adults from the American College of Sports Medicine and the American Heart Association. Med Sci Sports Exerc. 2007 ; 39: 1423-1434 (Pubitemid 47344026)
28. Motl RW, Snook EM, Agiovlasitis S, Suh Y. Calibration of accelerometer output for ambulatory adults with multiple sclerosis. Arch Phys Med Rehabil. 2009 ; 90: 1778-1784
29. Paltamaa J, West H, Sarasoja T, Wikstrom J, Malkia E. Reliability of physical functioning measures in ambulatory subjects with MS. Physiother Res Int. 2005 ; 10: 93-109
30. Scherfer E, Bohls C, Freiberger E, Heise K, Hogan D. Berg Balance Scale-German version: Translation of a standardized instrument for the assessment of balance and risk of falling. Physioscience. 2006 ; 2: 59-66
31. Flachenecker P, Müller G, König H, Meissner H, Toyka KV, Rieckmann P. "Fatigue" in multiple sclerosis. Development and validation of the "Wüurzburger Fatigue Inventory for MS" [in German]. Nervenarzt. 2006 ; 77: 165 168 172-166 170 174
32. Collen FM, Wade DT, Robb GF, Bradshaw CM. The Rivermead Mobility Index: a further development of the Rivermead motor assessment. Disabil Rehabil. 1991 ; 13: 50-54
33. Forlander DA, Bohannon RW. Rivermead Mobility Index: a brief review of research to date. Clin Rehabil. 1999 ; 13: 97
34. Nuyens G, De Weerdt W, Ketelaer P, et al. Inter-rater reliability of the Ashworth scale in multiple sclerosis. Clin Rehabil. 1994 ; 8: 286
35. Jensen M, Karoly P Handbook of Pain Assessment. Turk D Melzack R, ed. New York, NY: Guilford Press ; 15-34.
36. Paltamaa J, Sarasoja T, Leskinen E, Wikstrom J, Malkia E. Measuring deterioration in international classification of functioning domains of people with multiple sclerosis who are ambulatory. Phys Ther. 2008 ; 88: 176-190 (Pubitemid 351196711)
37. Benjamini Y, Krieger A, Yekutieli D. Adaptive linear step-up procedures that control the false discovery rate. Biometrika. 2006 ; 93: 491
38. Moher D, Hopewell S, Schulz KF, et al. CONSORT 2010 explanation and elaboration: updated guidelines for reporting parallel group randomised trials. BMJ. 2010 ; 340: c869
39. Perera S, Mody SH, Woodman RC, Studenski SA. Meaningful change and responsiveness in common physical performance measures in older adults. J Am Geriatr Soc. 2006 ; 54: 743-749 (Pubitemid 44030194)
40. Farr JN, Going SB, Lohman TG, et al. Physical activity levels in patients with early knee osteoarthritis measured by accelerometry. Arthritis Rheum. 2008 ; 59: 1229-1236
41. 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: 248-258