Beyond the office: a multifaceted gait analysis in neurological patients
DOI:
https://doi.org/10.33233/fb.v22i1.4609Keywords:
gait analysis; neurology evaluationAbstract
Introduction: Gait can be defined as a cicle pattern in biped posture that use to lower limb to body propulse. In Neurology, the physical exam of gait represents a neurological signal. This fact can help in the diagnosis conclusion. In a clinical setting and medical office, the critical evaluation is restricted to the physicians expertise. The space of doctor´s room is often reduced and inappropriate time for evaluation. Objective: This study aimed to discuss the main points of gait analysis in neurological outpatients. Methods: In this narrative review, 32 articles were analyzed, and after included criteria, 6 articles were selected. In neurology medical office must respected criteria to no promote bias of gait parameter and complicate global assessment. Conclusion: Therefore, there is a need for further discussions, within the scope to better assess the gait parameters.
References
Wren TAL, Gorton GE, Ounpuu S, Tucker CA. Efficacy of clinical gait analysis: A systematic review. Gait Posture 2011;34:149-53. doi: 10.1016/j.gaitpost.2011.03.027
Tanaka MS, Luppi A, Morya E, Fávero FM, Fontes SV, Oliveira ASB. Main instruments for the gait analysis used in patients with muscular dystrophy of Duchenne. Rev Neurociênc 2007;15(2):153-9. doi: 10.34024/rnc.2007.v15.8732
Silva TAM, Silva LP, Faccio PF, Silva KMC, Arruda ARV, Silva LN et al. Análise dos parâmetros espaço-temporais da marcha em indivíduos com disfunção neurológica tratados com prática mental: uma revisão sistemática. Acta Fisiatr 2018;25(2):86-93. doi: 10.11606/issn.2317-0190.v25i2a162567
Baker R. Measuring walking: a handbook of clinical gait analysis. London: Mac Keith Press; 2013.
Baker R, Esquenazi A, Benedetti MG, Desloovere K. Gait analysis: clinical facts. Eur J Phys Rehabil Med 2016;52(4):560-74.
Baker JM. Gait disorders. Am J Med 2018; 131(6), 602-7. doi: 10.1016/j.amjmed.2017.11.051
Moher D, Liberati A, Tetzlaff J, Altman DG, The PRISMA Group. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med 2009;6(7):e1000097. doi: 10.1371/journal.pmed1000097
Benedetti MG, Beghi E, De Tanti A, Cappozzo A, Basaglia, N, Cutti AG, Ferrarin M. SIAMOC position paper on gait analysis in clinical practice: General requirements, methods, and appropriateness. Results of an Italian consensus conference. Gait & Posture 2017;58:252-60. doi: 10.1016/j.gaitpost.2017.08.003
Taborri J, Palermo E, Rossi S, Cappa P. Gait partitioning methods: a systematic review. Sensors (Basel) 2016;16(1):66. doi: 10.3390/s16010066
Boutaayamou M, Schwartz C, Stamatakis J, Denoël V, Maquet D, Forthomme B, Croisier JL, Macq B, Verly JG, Garraux G, Brüls O. Development and validation of an accelerometer-based method for quantifying gait events. Med Eng Phys 2015;37(2):226-32. doi: 10.1016/j.medengphy.2015.01.001
Wertman V, Gromova A, La Spada AR, Cortes CJ. Low-cost gait analysis for behavioral phenotyping of mouse models of neuromuscular disease. J Vis Exp 2019;(149). doi: 10.3791/59878
Nonnekes J, Růžička E, Serranová T, Reich SG, Bloem BR, Hallett M. Functional gait disorders: A sign-based approach. Neurology 2020;94(24):183-9. doi: 10.1038/nrneurol.2017.178
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Copyright (c) 2021 Julio Guilherme Silva, Jacqueline Stephanie Fernandes do Nascimento, Nicolle dos Santos Moraes Nunes, Marcos Antônio Alves Azizi, Marco Orsini
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