Falls in people with multiple sclerosis compared with falls in healthy controls
Rajarshi Mazumder, Charles Murchison, Dennis Bourdette, Michelle Cameron, Rajarshi Mazumder, Charles Murchison, Dennis Bourdette, Michelle Cameron
Abstract
Objective: To compare the risk, circumstances, consequences and causes of prospectively recorded falls between people with multiple sclerosis (PwMS) and healthy controls of similar age and gender.
Methods: 58 PwMS and 58 healthy controls, who are community-dwelling, were recruited in this 6-month prospective cohort study. 90% of PwMS and 84% of healthy controls completed the study. Participants counted falls prospectively using fall calendars and noted fall location, fall-related injuries, and the cause of the falls. Kaplan Meier survival analysis and log-rank tests were performed to compare the distributions of survival without falling between PwMS and healthy controls.
Results: 40.8% of controls and 71.2% of PwMS fell at least once. 48.1% of PwMS and 18.4% of healthy controls fell at least twice. 42.3% of PwMS and 20.4% of health controls sustained a fall-related injury. After adjusting for age and gender, the time to first fall (HR: 1.87, p = 0.033) and the time to recurrent falls (HR: 2.87, p = 0.0082) were significantly different between PwMS and healthy controls. PwMS reported an almost equal number of falls inside and outside, 86% of the falls in healthy controls were outside. Healthy controls were more likely to fall due to slipping on a slippery surface (39.5% vs 10.4%). PwMS more often attributed falls to distraction (31% vs 7%) and uniquely attributed falls to fatigue or heat.
Conclusions: Fall risk, circumstances, consequences, and causes are different for PwMS than for healthy people of the same age and gender. PwMS fall more, are more likely to be injured by a fall, and often fall indoors. PwMS, but not healthy controls, frequently fall because they are distracted, fatigued or hot.
Conflict of interest statement
Competing Interests: The authors have declared that no competing interests exist.
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References
- Cattaneo D, De Nuzzo C, Fascia T, Macalli M, Pisoni I, et al. (2002) Risks of falls in subjects with multiple sclerosis. Arch Phys Med Rehabil 83: 864–867.
- Finlayson ML, Peterson EW, Cho CC (2006) Risk factors for falling among people aged 45 to 90 years with multiple sclerosis. Arch Phys Med Rehabil 87: 1274–1279.
- Gunn H, Creanor S, Haas B, Marsden J, Freeman J (2014) Frequency, characteristics and consequences of falls in multiple sclerosis: Findings from a cohort study. Arch Phys Med Rehabil 95: 538–45.
- Hoang PD, Cameron MH, Gandevia SC, Lord SR (2014) Neuropsychological, balance, and mobility risk factors for falls in people with multiple sclerosis: A prospective cohort study. Arch Phys Med Rehabil 95: 480–6.
- Matsuda PN, Shumway-Cook A, Bamer AM, Johnson SL, Amtmann D, et al. (2011) Falls in multiple sclerosis. PM R 3: 624–32.
- Nilsagard Y, Lundholm C, Denison E, Gunnarsson LG (2009) Predicting accidental falls in people with multiple sclerosis – a longitudinal study. Clin Rehabil 23: 259–269.
- Peterson EW, Cho CC, von Koch L, Finlayson ML (2008) Injurious falls among middle aged and older adults with multiple sclerosis. Arch Phys Med Rehabil 89: 1031–1037.
- Koch-Henriksen N, Bronnum-Hansen H, Stenager E (1998) Underlying cause of death in danish patients with multiple sclerosis: Results from the danish multiple sclerosis registry. J Neurol Neurosurg Psychiatry 65: 56–59.
- Peterson EW, Cho CC, Finlayson ML (2007) Fear of falling and associated activity curtailment among middle aged and older adults with multiple sclerosis. Mult Scler 13: 1168–1175.
- Ganz DA, Bao Y, Shekelle PG, Rubenstein LZ (2007) Will my patient fall? JAMA 297: 77–86.
- Sosnoff JJ, Socie MJ, Boes MK, Sandroff BM, Pula JH, et al. (2011) Mobility, balance and falls in persons with multiple sclerosis. PLoS One 6: e28021.
- Cameron MH, Poel AJ, Haselkorn JK, Linke A, Bourdette D (2011) Falls requiring medical attention among veterans with multiple sclerosis: A cohort study. J Rehabil Res Dev 48: 13–20.
- Polman CH, Reingold SC, Edan G, Filippi M, Hartung HP, et al. (2005) Diagnostic criteria for multiple sclerosis: 2005 revisions to the “McDonald criteria”. Ann Neurol 58: 840–846.
- Kurtzke JF (1983) Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS). Neurology 33: 1444–1452.
- Lamb SE, Jorstad-Stein EC, Hauer K, Becker C, Prevention of Falls Network Europe and Outcomes Consensus Group (2005) Development of a common outcome data set for fall injury prevention trials: The prevention of falls network europe consensus. J Am Geriatr Soc 3: 1618–1622.
- Gillespie LD, Gillespie WJ, Robertson MC, Lamb SE, Cumming RG, et al. (2001) Interventions for preventing falls in elderly people. Cochrane Database Syst Rev 3: CD000340.
- Kasser SL, Jacobs JV, Foley JT, Cardinal BJ, Maddalozzo GF (2011) A prospective evaluation of balance, gait, and strength to predict falling in women with multiple sclerosis. Arch Phys Med Rehabil 92: 1840–1846.
- Gunn HJ, Newell P, Haas B, Marsden JF, Freeman JA (2013) Identification of risk factors for falls in multiple sclerosis: A systematic review and meta-analysis. Phys Ther 93: 504–513.
- Peterson EW, Ben Ari E, Asano M, Finlayson ML (2013) Fall attributions among middle-aged and older adults with multiple sclerosis. Arch Phys Med Rehabil 94: 890–895.
- Nilsagard Y, Denison E, Gunnarsson LG, Bostrom K (2009) Factors perceived as being related to accidental falls by persons with multiple sclerosis. Disabil Rehabil 31: 1301–1310.
- Tinetti ME, Speechley M, Ginter SF (1988) Risk factors for falls among elderly persons living in the community. N Engl J Med 319: 1701–1707.
- Berg WP, Alessio HM, Mills EM, Tong C (1997) Circumstances and consequences of falls in independent community-dwelling older adults. Age Ageing 26: 261–26.
Source: PubMed