Department of Health Sciences, Public University of Navarre, Navarrabiomed, IdiSNA, Avenida Barañain s/n, 31008 Pamplona, Spain; CIBER of Frailty and Healthy Aging - CIBERFES, Spain.
CIBER of Frailty and Healthy Aging - CIBERFES, Spain; Division of Geriatric Medicine, Complejo Hospitalario de Navarra, Calle de Irunlarrea 3, 31008 Pamplona, Spain.
J Biomech. 2019 Jul 19;92:105-111. doi: 10.1016/j.jbiomech.2019.05.038. Epub 2019 May 28.
Acute medical illness requiring hospitalization usually is a critical event in the trajectory leading to disability in older adults. Functional decline frequently occurs during hospitalization, resulting in a loss of Independence in activities of daily living after discharge. The aim of the study was to assess the functional decline in different ADLs of hospitalized elderly patients in an Acute Care for Elderly (ACE) unit incorporating a body-worn inertial sensor and accompanying custom algorithms. 38 hospitalized older adults (age ≥ 75) were included. The patients completed different functional tasks, including a balance test, Gait Velocity Test (GVT), verbal and arithmetic dual-task gait, and a sit-to-stand ability test at admission and discharge. Movement-related parameters were acquired from a unique tri-axial inertial sensor unit. Maximal muscle strength and muscle power output endpoints were also assessed. The results indicated that significant improvements (p < 0.05) were found at discharge compared with the admission values for gait variability and spatiotemporal parameters in the 4- and 6-meter GVT. These significant gains were also obtained in the verbal GVT. In contrast, a significant reduction was found in the functional status measured with the Barthel Index scale. Regarding to the sit-to-stand ability, lower peak power was observed in the sit-to-stand phase of the task at discharge. In conclusion, inertial sensor unit and our custom, validated, algorithms represent a feasible tool for measuring and monitoring functional trajectory during hospitalization in older adults and they are sensitive to detect differences in movement pattern parameters in different ADLs such as walking and the ability to stand from a seated position.
急性医疗疾病需要住院治疗,通常是导致老年人残疾的轨迹中的一个关键事件。在住院期间,功能下降经常发生,导致出院后日常生活活动的独立性丧失。本研究的目的是评估急性老年护理 (ACE) 病房中使用穿戴式惯性传感器和配套定制算法的住院老年患者在不同日常生活活动 (ADL) 中的功能下降情况。共纳入 38 名住院老年人(年龄≥75 岁)。患者在入院和出院时完成了不同的功能任务,包括平衡测试、步态速度测试 (GVT)、言语和算术双重任务步态以及坐立能力测试。运动相关参数来自独特的三轴惯性传感器单元获取。还评估了最大肌肉力量和肌肉功率输出终点。结果表明,与入院时相比,出院时步态变异性和 4 米和 6 米 GVT 的时空参数有显著改善(p<0.05)。言语 GVT 也取得了显著的提高。相比之下,在入院时用巴氏量表测量的功能状态显著下降。关于坐立能力,在任务的坐立阶段,峰值功率较低。总之,惯性传感器单元和我们的定制、验证的算法代表了一种可行的工具,可用于测量和监测老年人住院期间的功能轨迹,并且它们对检测不同 ADL 中的运动模式参数差异敏感,例如行走和从坐姿站立的能力。