Minimal detectable change of kinematic and spatiotemporal parameters in patients with chronic stroke across three sessions of gait analysis |
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| Affiliation: | 1. CIAMS, Univ. Paris-Sud, Université Paris-Saclay, 91405 Orsay Cedex, France;2. CIAMS, Université d''Orléans, 45067 Orléans, France;3. Inserm Unit 1179, Team 3: Technologies and Innovative Therapies Applied to Neuromuscular Diseases, UVSQ, CIC 805, Physiology–Functional Testing Ward, AP-HP, Raymond Poincaré Teaching Hospital, Garches, France;4. Laboratory of Human Motricity, Sport, Education and Health (EA 6312), University of Nice Sophia Antipolis, Nice, France;1. Electrical Engineering and Computer Sciences, University of California, Berkeley, United States;2. Ecology and Evolutionary Biology, Museum of Zoology, University of Michigan, United States;3. Mechanical Engineering, University of Michigan, United States;1. Human Movement Science Curriculum, Department of Allied Health Sciences, The University of North Carolina at Chapel Hill, NC, USA;2. Division of Physical Therapy, Department of Allied Health Sciences, The University of North Carolina at Chapel Hill, NC, USA;3. Department of Allied Health Sciences, The University of North Carolina at Chapel Hill, NC, USA;1. Neurorehabilitation and Brain Research Group, Instituto de Investigación e Innovación en Bioingeniería, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain;2. Servicio de Neurorrehabilitación y Daño Cerebral de los Hospitales NISA, Fundación Hospitales NISA, Río Tajo 1, 46011 Valencia, Spain;1. Pontifícia Universidade Católica do Paraná, Health Technology Graduate Programm, Rua Imaculada Conceição, 1155, Curitiba, 80215-901, Brazil;2. Centro Hospitalar de Reabilitação Ana Carolina Moura Xavier, Rua Quintino Bocaiuva, 329, Curitiba, 80035-090, Brazil;1. Pontifícia Universidade Católica do Paraná, Health Technology Graduation Programm, Curitiba, Brazil;2. Centro Hospitalar de Reabilitação Ana Carolina Moura Xavier, Curitiba, Brazil;1. Centre for Health Activity and Rehabilitation Research, Queen Margaret University, Edinburgh, EH21 6UU, Scotland, UK;2. Centre for Clinical Brain Sciences, University of Edinburgh, Chancellor’s Building, Edinburgh, EH16 4SB, UK |
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| Abstract: | Three-dimensional gait analysis is the gold standard for gait-assessment in patients with stroke. This technique is commonly used to assess the effect of treatment on gait parameters. In clinical practice, three gait analyses are usually carried out (baseline, after treatment and follow-up), the objectives were to define the reproducibility and the Minimum Detectable Change (MDC) for gait parameters in stance and swing measured using 3D-gait analysis, and to assess changes in MDC across three repeated 3D-gait analyses. Three gait analyses (V1, V2 and V3) were performed at 7-day intervals in twenty-six patients with chronic stroke. Kinematic data (in the sagittal plane, during swing and stance) and spatiotemporal data were evaluated for the paretic limb. Reliability was tested using repeated measures ANOVA with a Tukey post hoc test, and the MDC values were calculated for each parameter. Only the range of hip motion during swing changed significantly between V1 and V2, but no other kinematic parameters changed. No significant differences were observed for the spatiotemporal parameters. MDC values were always higher during the V1vsV2 comparison for both kinematic and spatiotemporal parameters. This is the first study to evaluate the MDC for kinematic and spatiotemporal parameters during stance and swing. Reliability of kinematic and spatiotemporal data across sessions was very good over the three sessions. MDC values were the lowest between V2 and V3 for most parameters. Use of the MDC will allow clinicians to more accurately determine the effect of treatments. |
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| Keywords: | Stroke Gait analysis Reproducibility Minimum Detectable Change |
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