IMPROVING THE PREDICTION OF FUNCTIONAL RECOVERY IN OLDER ADULTS WITH STROKE IN GERIATRIC REHABILITATION USING AN INERTIAL MEASUREMENT UNIT COMBINED WITH THE UTRECHT SCALE FOR EVALUATION OF REHABILITATION.

Jules J M Kraaijkamp, Margot W M DE Waal, Niels H Chavannes, Wilco P Achterberg, Eléonore F VAN Dam VAN Isselt, Michiel Punt
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Abstract

Background: Prediction of functional recovery in older adults recovering from stroke is typically based on observational scales, such as the Utrecht Scale for Evaluation of Rehabilitation (USER). Objectively measuring postural sway using inertial measurement devices (IMU) may complement or improve conventional approaches. The aim of this study was to evaluate whether integrating an IMU with USER data enhances the accuracy of predicting functional recovery at discharge.

Methods: This prospective cohort study included older adults (≥ 65 years) recovering from stroke. Postural sway was assessed using an IMU during 2 different balance conditions and analysed using principal component analysis (PCA). Using 3 different regression models, percentage explained variance was compared to assess predictive performance on functional recovery of USER vs an IMU.

Results: The 71 patients included had a mean age of 78 (SD 7.6) and a median time since stroke of 16 days (IQR 19-60). Of the 71 patients, 12 (16.9%) were unable to perform balance condition 2 due to insufficient balance. Of 35 postural sway features displaying reliability for both balance conditions, 12 were selected for PCA. Incorporation of principal components for both balance conditions in the final model increased the explained variance compared to a model in which only USER-mobility at admission was used to predict delta-USER at discharge (R 2 = 0.61 vs 0.30).

Conclusions: Sitting and standing balance as measured by an IMU improves the prediction of functional recovery at discharge compared to USER alone.

利用惯性测量单元结合乌得勒支量表进行康复评估,提高老年脑卒中患者在老年康复中的功能恢复预测。
背景:预测老年人中风后的功能恢复通常基于观察性量表,如乌得勒支康复评估量表(USER)。使用惯性测量装置(IMU)客观测量体位摇摆可以补充或改进传统方法。本研究的目的是评估将IMU与USER数据整合是否能提高出院时预测功能恢复的准确性。方法:这项前瞻性队列研究纳入了从中风中恢复的老年人(≥65岁)。在2种不同的平衡状态下,使用IMU评估体位摇摆,并使用主成分分析(PCA)进行分析。使用3种不同的回归模型,对百分比解释方差进行比较,以评估USER与IMU在功能恢复方面的预测性能。结果:纳入的71例患者平均年龄为78岁(SD 7.6),中位中风时间为16天(IQR 19-60)。在71例患者中,12例(16.9%)由于平衡不足而无法进行平衡状态2。在35个对两种平衡状态都显示可靠度的姿势摇摆特征中,选择了12个用于主成分分析。与仅使用入院时USER-mobility来预测出院时delta-USER的模型相比,在最终模型中纳入两种平衡条件的主成分增加了解释方差(r2 = 0.61 vs 0.30)。结论:与单独使用USER相比,IMU测量的坐立平衡可以改善出院时功能恢复的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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