Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, 20144, Milano, Italy.
Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, 20144, Milano, Italy.
Gait Posture. 2018 Mar;61:287-293. doi: 10.1016/j.gaitpost.2018.01.015. Epub 2018 Jan 31.
The Timed Up and Go (TUG) test is a common mobility measure in rehabilitation. With the instrumental TUG test (ITUG; i.e. the TUG measured by inertial measurement units, IMUs), several movement measures are newly available. However, the clinical meaning of these new measures is not totally clear. Aim of the current work is to evaluate the validity of different ITUG parameters as a measure of balance. Neurological patients (n = 122; 52 females; 89 older than 65 years) completed the TUG test with IMUs secured to their back. IMUs signals were used to split the TUG test in five phases (sit-to-stand, walk1, turn1, walk2 and turn-and-sit) and twelve movement parameters were obtained. Experienced clinicians administered the Mini-BESTest (MB) scale, a sound balance measure. The partial least square regression (PLSR) was used to explore the association between the ITUG variables and the MB measure. A PLSR model with twelve ITUG variables had satisfactory fit parameters (RMSEP: 11%; R: 0.41, 95% CI: 0.28-0.54; regression line: 1, 95% CI: 0.78-1.22). Three ITUG variables (i.e. turn1 vertical angular velocity, turn1 duration and turn2 vertical angular velocity) were found to be the most important predictors of the MB measure. A PLSR model with the turning variables only had fit parameters comparable to that of the twelve variables model. Turning parameters from the TUG test are good predictors of the MB scale. The mean angular velocity during turning and the duration of the turning phase are thus proposed as a valid, ratio-level measures of balance in neurological patients.
计时起立行走(TUG)测试是康复领域常用的一种移动能力测量方法。借助于工具化 TUG 测试(ITUG;即通过惯性测量单元(IMUs)测量的 TUG),现在可以获得多个新的运动测量参数。然而,这些新的测量参数的临床意义尚不完全明确。本研究旨在评估不同 ITUG 参数作为平衡测量指标的有效性。122 例神经科患者(52 名女性;89 名年龄大于 65 岁)在背部佩戴 IMUs 后完成 TUG 测试。IMU 信号用于将 TUG 测试分为五个阶段(从坐到站、走 1、转 1、走 2 和转坐),并获得 12 个运动参数。经验丰富的临床医生使用平衡的声音测量量表 Mini-BESTest(MB)量表进行评估。偏最小二乘回归(PLSR)用于探索 ITUG 变量与 MB 测量值之间的关联。具有 12 个 ITUG 变量的 PLSR 模型具有令人满意的拟合参数(RMSEP:11%;R:0.41,95%CI:0.28-0.54;回归线:1,95%CI:0.78-1.22)。三个 ITUG 变量(即转 1 垂直角速度、转 1 持续时间和转 2 垂直角速度)被发现是 MB 测量值的最重要预测因子。仅具有转弯变量的 PLSR 模型的拟合参数与具有 12 个变量模型的拟合参数相当。TUG 测试中的转弯参数是 MB 量表的良好预测因子。因此,转弯过程中的平均角速度和转弯阶段的持续时间被提议作为神经科患者平衡的有效、等比测量指标。