Prevalence and Associated Factors of Falls in Persons with Multiple Sclerosis: A Cross-Sectional Study
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Abstract
Introduction: Multiple sclerosis (MS) is a potentially disabling disease of the brain and spinal cord. Falls are a serious health concern for persons with MS (PwMS).
Aim: To determine the frequency and associated factors of falls in PwMS.
Methods: A cross-sectional study was conducted in the Physical Medicine and Rehabilitation and Neurological Departments at the Military Hospital of Tunis between July and December 2022. Participants meeting the inclusion criteria completed a survey focusing on the prevalence and related factors of falls. In addition to the survey and a thorough clinical and functional examination, we used the 12-item MS Walking Scale (MSWS-12), the Fall Efficacy Scale International (FES-I), the Short Physical Performance Battery (SPPB), and the 10-meter walk test for clinical assessment of balance. A baropodometric platform was employed for instrumental assessment.
Results: Thirty individuals with an average age of 33,6 [SD: 7,7], completed the survey with a mean Expanded Disability Status Scale = 2,5. Twenty-one patients reported falling at least once since the diagnosis. The MSWS-12 mean score was 61 % and the FES-I scored an average of 33.8. The average total score of the SPPB was 8. Total boli of corticosteroids prescribed during disease flare-ups (p=0,022), magnetic resonance imaging lesions of the basal ganglia (p=0,047), vestibular syndrome (p=0,048), MSWS-12 score (p=0,022), and the chair lift test of SPPB (p=0,018) were significantly associated with the prevalence of falling. No significant differences were observed for the instrumental assessment.
Conclusion: Falls are frequent in PwMS. MSWS ...( abstract truncated at 250 words).
Keywords:
Multiple sclerosis, Falls, Balance, Disability, Baropodometric Analysis, health concern##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
- Vollmer T. The natural history of relapses in multiple sclerosis. J Neurol Sci. 2007;256.
- O’Malley N, Clifford AM, Comber L, Coote S. Fall definitions, faller classifications and outcomes used in falls research among people with multiple sclerosis: a systematic review. Disabil Rehabil. 2022;44:856-64.
- Cattaneo D, De Nuzzo C, Fascia T, Macalli M, Pisoni I, Cardini R. Risks of falls in subjects with multiple sclerosis. Arch Phys Med Rehabil. 2002;83:864-7.
- Lamb SE, Jørstad-Stein EC, Hauer K, Becker C, Prevention of Falls Network Europe and Outcomes Consensus Group. Development of a common outcome data set for fall injury prevention trials: the Prevention of Falls Network Europe consensus. J Am Geriatr Soc. 2005;53:1618-22.
- Davalos-Bichara M, Lin FR, Carey JP, Walston JD, Fairman JE, Schubert MC, et al. Development and Validation of a Falls-Grading Scale. J Geriatr Phys Ther. 2013;36:63.
- Nilsagård Y, Gunnarsson L-G, Denison E. Self-perceived limitations of gait in persons with multiple sclerosis. Adv Physiother. 2007;9:136-43.
- Yardley L, Beyer N, Hauer K, Kempen G, Piot-Ziegler C, Todd C. Development and initial validation of the Falls Efficacy Scale-International (FES-I). Age Ageing. 2005;34:614-9.
- Gunn H, Andrade J, Paul L, Miller L, Creanor S, Stevens K, et al. A self-management programme to reduce falls and improve safe mobility in people with secondary progressive MS: the BRiMS feasibility RCT. Health Technol Assess. 2019;23:1-166.
- Scholz M, Haase R, Trentzsch K, Weidemann ML, Ziemssen T. Fear of falling and falls in people with multiple sclerosis: A literature review. Mult Scler Relat Disord. 2021;47:102609.
- Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, et al. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49.
- Guralnik JM, Ferrucci L, Simonsick EM, Salive ME, Wallace RB. Lower-extremity function in persons over the age of 70 years as a predictor of subsequent disability. N Engl J Med. 1995;332:556-61.
- Vaney C, Blaurock H, Gattlen B, Meisels C. Assessing mobility in multiple sclerosis using the Rivermead Mobility Index and gait speed. Clin Rehabil. 1996;10:216-26.
- Wade DT. Measurement in neurological rehabilitation. Curr Opin Neurol Neurosurg. 1992;5:682-6.
- Nilsagard Y, Lundholm C, Gunnarsson L-G, Denison E. Clinical relevance using timed walk tests and ‘timed up and go’ testing in persons with Multiple Sclerosis. Physiother Res Int. 2007;12:105-14.
- Brosseau 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.
- Terkawi AS, Tsang S, AlKahtani GJ, Al-Mousa SH, Al Musaed S, AlZoraigi US, et al. Development and validation of Arabic version of the Hospital Anxiety and Depression Scale. Saudi J Anaesth. 2017;11.
- Nilsagård Y, Lundholm C, Denison E, Gunnarsson L-G. Predicting accidental falls in people with multiple sclerosis — a longitudinal study. Clin Rehabil. 2009;23:259-69.
- Matsuda PN. Falls in multiple sclerosis. https://pubmed.ncbi.nlm.nih.gov/21777861/ (accessed July 2, 2022).
- Gunn H, Creanor S, Haas B, Marsden J, Freeman J. Risk factors for falls in multiple sclerosis: an observational study. Mult Scler. 2013;19:1913-22.
- Hoang PD, Cameron MH, Gandevia SC, Lord SR. Neuropsychological, balance, and mobility risk factors for falls in people with multiple sclerosis: a prospective cohort study. Arch Phys Med Rehabil. 2014;95:480-6.
- Cameron MH, Thielman E, Mazumder R, Bourdette D. Predicting Falls in People with Multiple Sclerosis: Fall History Is as Accurate as More Complex Measures. Mult Scler Int. 2013;2013:1-7.
- Carling A, Forsberg A, Nilsagård Y. Falls in people with multiple sclerosis: experiences of 115 fall situations. Clin Rehabil. 2018;32:526-35.
- Zelaya JE, Murchison C, Cameron M. Associations Between Bladder Dysfunction and Falls in People with Relapsing-Remitting Multiple Sclerosis. Int J MS Care. 2017;19:184-90.
- Zanotto T, Frechette ML, Koziel SR, Hsieh KL, Sosnoff JJ. Frequency and characteristics of falls in people living with and without multiple sclerosis during the COVID-19 pandemic: A cross-sectional online survey. Mult Scler Relat Disord. 2021;54:103111.
- Edwards EM, Daugherty AM, Nitta M, Atalla M, Fritz NE. Backward walking sensitively detects fallers in persons with multiple sclerosis. Mult Scler Relat Disord. 2020;45:102390.
- Block VJ, Pitsch EA, Gopal A, Zhao C, Pletcher MJ, Marcus GM, et al. Identifying falls remotely in people with multiple sclerosis. J Neurol. 2022;269:1889-98.
- Rae-Grant A, Bennett A, Sanders AE, Phipps M, Cheng E, Bever C. Quality improvement in neurology: Multiple sclerosis quality measures: Executive summary. Neurology. 2015;85:1904-8.
- Stevens JA, Ballesteros MF, Mack KA, Rudd RA, DeCaro E, Adler G. Gender differences in seeking care for falls in the aged Medicare population. Am J Prev Med. 2012;43:59-62.
- Nilsagård Y, Denison E, Gunnarsson L-G, Boström K. Factors perceived as being related to accidental falls by persons with multiple sclerosis. Disabil Rehabil. 2009;31:1301-10.
- Comber L, Galvin R, Coote S. Gait deficits in people with multiple sclerosis: A systematic review and meta-analysis. Gait Posture. 2017;51:25-35.
- Cameron MH, Karstens L, Hoang P, Bourdette D, Lord S. Medications Are Associated with Falls in People with Multiple Sclerosis: A Prospective Cohort Study. Int J MS Care 2015;17:207–14.
- Soyuer F, Mirza M, Erkorkmaz U. Balance performance in three forms of multiple sclerosis. Neurol Res 2006;28:555–62.
- Motl RW, Chaparro G, Hernandez ME, Balto JM, Sandroff BM. Physical Function in Older Adults With Multiple Sclerosis: An Application of the Short Physical Performance Battery. Journal of Geriatric Physical Therapy 2018;41:155.
- Kasser SL, Jacobs JV, Foley JT, Cardinal BJ, Maddalozzo GF. A prospective evaluation of balance, gait, and strength to predict falling in women with multiple sclerosis. Arch Phys Med Rehabil 2011;92:1840–6.
- Maki BE. Gait changes in older adults: predictors of falls or indicators of fear. J Am Geriatr Soc 1997;45:313–20.
- Makino K, Makizako H, Doi T, Tsutsumimoto K, Hotta R, Nakakubo S, et al. Fear of falling and gait parameters in older adults with and without fall history. Geriatr Gerontol Int 2017;17:2455–9.
- Mazumder R, Lambert WE, Nguyen T, Bourdette DN, Cameron MH. Fear of Falling Is Associated with Recurrent Falls in People with Multiple Sclerosis: A Longitudinal Cohort Study. Int J MS Care 2015;17:164–70.
- Fritz NE, Eloyan A, Baynes M, Newsome SD, Calabresi PA, Zackowski KM. Distinguishing among multiple sclerosis fallers, near-fallers and non-fallers. Mult Scler Relat Disord 2018;19:99–104.
- Tajali S, Mehravar M, Negahban H, van Dieën JH, Shaterzadeh-Yazdi MJ, Mofateh R. Impaired local dynamic stability during treadmill walking predicts future falls in patients with multiple sclerosis: A prospective cohort study. Clin Biomech (Bristol, Avon) 2019;67:197–201.
- Goodkin DE, Cookfair D, Wende K, Bourdette D, Pullicino P, Scherokman B, et al. Inter- and intrarater scoring agreement using grades 1.0 to 3.5 of the Kurtzke Expanded Disability Status Scale (EDSS). Multiple Sclerosis Collaborative Research Group. Neurology 1992;42:859–63.
- Prosperini L, Kouleridou A, Petsas N, Leonardi L, Tona F, Pantano P, et al. The relationship between infratentorial lesions, balance deficit and accidental falls in multiple sclerosis. J Neurol Sci 2011;304:55–60.
- Sosnoff JJ, Socie MJ, Boes MK, Sandroff BM, Pula JH, Suh Y, et al. Mobility, balance and falls in persons with multiple sclerosis. PLoS One 2011;6.
- Cattaneo D, Ferrarin M, Jonsdottir J, Montesano A, Bove M. The virtual time to contact in the evaluation of balance disorders and prediction of falls in people with multiple sclerosis. Disabil Rehabil 2012;34:470–7.
- Nilsagård Y, Carling A, Forsberg A. Activities-specific balance confidence in people with multiple sclerosis. Mult Scler Int 2012;2012:613925.
- Prosperini L, Fortuna D, Giannì C, Leonardi L, Pozzilli C. The diagnostic accuracy of static posturography in predicting accidental falls in people with multiple sclerosis. Neurorehabil Neural Repair 2013;27:45–52.
- Socie MJ, Sandroff BM, Pula JH, Hsiao-Wecksler ET, Motl RW, Sosnoff JJ. Footfall placement variability and falls in multiple sclerosis. Ann Biomed Eng 2013;41:1740–7.
- Sosnoff JJ, Sandroff BM, Pula JH, Morrison SM, Motl RW. Falls and physical activity in persons with multiple sclerosis. Mult Scler Int 2012;2012:315620.
- Matsuda PN, Shumway-Cook A, Ciol MA, Bombardier CH, Kartin DA. Understanding falls in multiple sclerosis: association of mobility status, concerns about falling, and accumulated impairments. Phys Ther 2012;92:407–15.
- Finlayson ML, Peterson EW, Cho CC. Risk factors for falling among people aged 45 to 90 years with multiple sclerosis. Arch Phys Med Rehabil 2006;87:1274–9; quiz 1287.
- Giannì C, Prosperini L, Jonsdottir J, Cattaneo D. A systematic review of factors associated with accidental falls in people with multiple sclerosis: a meta-analytic approach. Clin Rehabil 2014;28:704–16.
- Boeschoten RE, Braamse AMJ, Beekman ATF, Cuijpers P, van Oppen P, Dekker J, et al. Prevalence of depression and anxiety in Multiple Sclerosis: A systematic review and meta-analysis. Journal of the Neurological Sciences 2017;372:331–41.
- Feinstein A. Multiple sclerosis and depression. Mult Scler 2011;17:1276–81.
- Cohen JN, Seng E, Foley FW. Cognitive and motor slowing mediate the relationship between depression and falls in multiple sclerosis patients. Mult Scler Relat Disord 2021;50:102808.
- Lin MW, Liu W, Yang F. Influence of multiple sclerosis on dynamic gait stability. J Biomech 2020;106:109827.