Bonnyaud Céline, Roche Nicolas, Van Hamme Angele, Bensmail Djamel, Pradon Didier
Inserm Unit 1179, Team 3: Technologies and Innovative Therapies Applied to Neuromuscular diseases, UVSQ, APHP Service de physiologie et d'exploration fonctionnelle, Hôpital Raymond Poincaré, 92380, Garches, France.
Inserm Unit 1179, Team 3: Technologies and Innovative Therapies Applied to Neuromuscular diseases, UVSQ, APHP Service de Médecine Physique et Réadaptation, Hôpital Raymond Poincaré, 92380, Garches, France.
PLoS One. 2016 Feb 19;11(2):e0149757. doi: 10.1371/journal.pone.0149757. eCollection 2016.
The Timed Up and Go (TUG) test is widely used to assess locomotion in patients with stroke and is considered to predict the risk of falls. The analysis of locomotor trajectories during the TUG appears pertinent in stroke patients. The aims of this study were i) to analyze locomotor trajectories in patients with stroke during the walking and turning sub-tasks of the TUG, and to compare them with healthy subjects, ii) to determine whether trajectory parameters provide additional information to that provided by the conventional measure (performance time), iii) to compare the trajectory parameters of fallers and non-fallers with stroke and of patients with right and left hemisphere stroke, and iv) to evaluate correlations between trajectory parameters and Berg Balance Scale scores.
29 patients with stroke (mean age 54.2±12.2 years, 18 men, 8 fallers) and 25 healthy subjects (mean age 51.6±8.7 years, 11 men) underwent three-dimensional analysis of the TUG. The trajectory of the center of mass was analyzed by calculation of the global trajectory length, Hausdorff distance and Dynamic Time Warping. The parameters were compared with a reference trajectory during the total task and each sub-task (Go, Turn, Return) of the TUG.
Values of trajectory parameters were significantly higher for the stroke group during the total TUG and the Go and Turn sub-tasks (p<0.05). Moreover, logistic regression indicated that these parameters better discriminated stroke patients and healthy subjects than the conventional timed performance during the Go sub-task. In addition, fallers were distinguished by higher Dynamic Time Warping during the Go (p<0.05). There were no differences between patients with right and left hemisphere stroke.
The trajectories of the stroke patients were longer and more deviated during the turn and the preceding phase. Trajectory parameters provided additional information to timed performance of this locomotor task. Focusing rehabilitation programs on lead-up to turn and turning could be relevant for stroke patients since the Turn was related to the balance and the phase preceding the turn seemed to distinguish fallers.
定时起立行走(TUG)测试被广泛用于评估中风患者的运动能力,并被认为可预测跌倒风险。分析TUG测试期间的运动轨迹对于中风患者似乎具有重要意义。本研究的目的是:i)分析中风患者在TUG测试的行走和转身子任务期间的运动轨迹,并将其与健康受试者进行比较;ii)确定轨迹参数是否能提供超出传统测量指标(完成时间)的额外信息;iii)比较中风患者中跌倒者和非跌倒者以及右半球和左半球中风患者的轨迹参数;iv)评估轨迹参数与伯格平衡量表评分之间的相关性。
29例中风患者(平均年龄54.2±12.2岁,18例男性,8例跌倒者)和25名健康受试者(平均年龄51.6±8.7岁,11例男性)接受了TUG测试的三维分析。通过计算全局轨迹长度、豪斯多夫距离和动态时间规整来分析质心轨迹。将这些参数与TUG测试总任务及每个子任务(起身、转身、返回)期间的参考轨迹进行比较。
在TUG测试总任务以及起身和转身子任务期间,中风组的轨迹参数值显著更高(p<0.05)。此外,逻辑回归表明,在起身子任务期间,这些参数比传统的定时表现更能区分中风患者和健康受试者。此外,跌倒者在起身过程中的动态时间规整值更高(p<0.05)。右半球和左半球中风患者之间没有差异。
中风患者在转身及转身前阶段的轨迹更长且更偏离。轨迹参数为该运动任务的定时表现提供了额外信息。由于转身与平衡相关,且转身前阶段似乎可区分跌倒者,因此将康复计划重点放在转身及转身准备阶段可能对中风患者有意义。