Association between the classification of functional ambulation classification and gait speed after stroke
DOI:
https://doi.org/10.11606/issn.2317-0190.v27i2a172364Keywords:
Stroke, Gait, Walking, Outcome and Process Assessment, Health CareAbstract
The choice of the appropriate instrument is decisive for the success of functional assessment and rehabilitation. In view of this, it is necessary that the professional has extensive knowledge of the instruments available so that he can choose the most effective, least costly and quickest assessment. Objective: To analyze whether the classification of ambulation obtained by the Functional Ambulation Classification (FAC) is associated with the performance obtained in the 10-meter walk test (TC10m). Methods: Cross-sectional study in which 61 individuals affected by stroke were evaluated. TC10m and FAC were used. To verify the normality of the data, a Kolmogorov-Smirnov test was used. One-way ANOVA was used to check whether there was a difference between dependent and independent walkers according to FAC with gait speed using the TC10m. A post hoc test and the Scheffe method were performed, considering p≤0.05. To analyze the association between the categorization of walking and gait speed, the chi-square test of independence was used. Results: There was a significant difference at each FAC level in relation to gait speed. There was an association between the classifications obtained by the FAC and by the TC10m [x2(9) = 145.335; p= 0.001]; and in 48% the variables are correctly associated. Conclusion: The findings indicated that the FAC levels were associated with walking speed. This finding expands the knowledge about gait assessment measures and helps clinical practice, considering that it facilitates the choice of the best instrument to assess gait after stroke.
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References
Johnson W, Onuma O, Owolabi M, Sachdev S. Stroke: a global response is needed. Bull World Health Organ. 2016;94(9):634-634A. Doi: https://doi.org/10.2471/BLT.16.181636
Murray CJ, Vos T, Lozano R, Naghavi M, Flaxman AD, Michaud C, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380(9859):2197-223. Doi: https://doi.org/10.1016/S0140-6736(12)61689-4
Asplund K, Sukhova M, Wester P, Stegmayr B; Riksstroke Collaboration. Diagnostic procedures, treatments, and outcomes in stroke patients admitted to different types of hospitals. Stroke. 2015;46(3):806-12. Doi: https://doi.org/10.1161/STROKEAHA.114.007212
Ray NT, Knarr BA, Higginson JS. Walking speed changes in response to novel user-driven treadmill control. J Biomech. 2018;78:143-9. Doi: https://doi.org/10.1016/j.jbiomech.2018.07.035
Kinoshita S, Abo M, Okamoto T, Tanaka N. Utility of the revised version of the ability for basic movement scale in predicting ambulation during rehabilitation in poststroke patients. J Stroke Cerebrovasc Dis. 2017;26(8):1663-1669. Doi: https://doi.org/10.1016/j.jstrokecerebrovasdis.2017.02.021
Mudge S, Stott NS. Outcome measures to assess walking ability following stroke: a systematic review of the literature. Physiotherapy. 2007;93(3):189-200. Doi: https://doi.org/10.1016/j.physio.2006.12.010
Holden MK, Gill KM, Magliozzi MR. Gait assessment for neurologically impaired patients. Standards for outcome assessment. Phys Ther. 1986;66(10):1530-9. Doi: https://doi.org/10.1093/ptj/66.10.1530
Mehrholz J, Wagner K, Rutte K, Meissner D, Pohl M. Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke. Arch Phys Med Rehabil. 2007;88(10):1314-9. Doi: https://doi.org/10.1016/j.apmr.2007.06.764
Holden MK, Gill KM, Magliozzi MR, Nathan J, Piehl-Baker L. Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness. Phys Ther. 1984;64(1):35-40. Doi: https://doi.org/10.1093/ptj/64.1.35
Elord C, Corrêa FI, Pereira GS, Silva SM, Corrêa JC. Translation into Brazilian Portuguese, cross-cultural adaptation, reliability and validation of the Functional Ambulation Classification for the categorization of ambulation following a stroke in a clinical setting. Rev Neurol. 2020;70(10):365-71. Doi: https://doi.org/10.33588/rn.7010.2019400
Brandão TCP, Silva FP, Silva SM. Força de preensão manual prediz moderadamente a recuperação sensório-motora avaliada pela escala Fugl-Meyer. Fisioter Pesqui. 2018 25(4):404-09. Doi: https://doi.org/10.1590/1809-2950/17010125042018
Bernhardt J, Hayward KS, Kwakkel G, Ward NS, Wolf SL, Borschmann K, et al. Agreed definitions and a shared vision for new standards in stroke recovery research: the stroke recovery and rehabilitation roundtable taskforce. Int J Stroke. 2017;12(5):444-450. Doi: https://doi.org/10.1177/1747493017711816
Maheshwari SG, Iqbal M, Hashmi SFA, Devrajani B. Stroke patients; assessment of cognitive impairment in. Professional Med J. 2015;22(4):541-5.
Scrivener K, Schurr K, Sherrington C. Responsiveness of the ten-metre walk test, Step Test and Motor Assessment Scale in inpatient care after stroke. BMC Neurol. 2014;14:129. Doi: https://doi.org/10.1186/1471-2377-14-129
Khanittanuphong P, Tipchatyotin S. Correlation of the gait speed with the quality of life and the quality of life classified according to speed-based community ambulation in Thai stroke survivors. NeuroRehabilitation. 2017;41(1):135-41. Doi: https://doi.org/10.3233/NRE-171465
Krebs DE. Declare your ICC type. Phys Ther. 1986;66(9):1431. Doi: https://doi.org/10.1093/ptj/66.9.1431
McHugh ML. The Chi-square test of independence. Biochem Med (Zagreb). 2013;23(2):143–9. Doi: https://doi.org/10.11613/BM.2013.018
Bedoya-Belmonte JJ, Rodríguez-González MDM, González-Sánchez M, Pitarch JMB, Galán-Mercant A, Cuesta-Vargas AI. İnter-rater and intra-rater reliability of the extended TUG test in elderly participants. BMC Geriatr. 2020;20(1):56. Doi: https://doi.org/10.1186/s12877-020-1460-0
Barry E, Galvin R, Keogh C, Horgan F, Fahey T. Is the Timed Up and Go test a useful predictor of risk of falls in community dwelling older adults: a systematic review and meta-analysis. BMC Geriatr. 2014;14:14. Doi: https://doi.org/10.1186/1471-2318-14-14
Costa AGS, Oliveira ARS, Sousa VEC, Araújo TL, Cardoso MVLML, Silva VM. Instrumentos utilizados no brasil para avaliação da mobilidade física como fator preditor de quedas em adultos. Ciência, Cuidado e Saúde. 2012;10(2):401-7. Doi: https://doi.org/10.4025/cienccuidsaude.v10i2.12085
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