膝关节骨关节炎中的步速：一项简单的10米步行测试可预测6分钟步行测试中的行走距离。
Gait speed in knee osteoarthritis: A simple 10-meter walk test predicts the distance covered in the 6-minute walk test.
作者信息
Lozano-Meca José, Montilla-Herrador Joaquina, Gacto-Sánchez Mariano
机构信息
Faculty of Medicine, CEIR Campus Mare Nostrum (CMN), University of Murcia, Instituto Murciano de Investigación Biosanitaria-Virgen de La Arrixaca (IMIB-Arrixaca), El Palmar, Murcia, Spain.
Faculty of Medicine, CEIR Campus Mare Nostrum (CMN), University of Murcia, Instituto Murciano de Investigación Biosanitaria-Virgen de La Arrixaca (IMIB-Arrixaca), El Palmar, Murcia, Spain.
出版信息
Musculoskelet Sci Pract. 2024 Aug;72:102983. doi: 10.1016/j.msksp.2024.102983. Epub 2024 Jun 2.
BACKGROUND
The 6-Minute Walk Test (6MWT) is a common performance-measure in Knee Osteoarthritis (KOA), but the pain and functional impairment characterizing the condition may interfere its adequate performance.
OBJECTIVES
The shorter 10-m Walk Test (10mWT) could predict the distance performed on the 6MWT, therefore decreasing the burden on patients, enhancing efficiency, and reducing space- and time-constraints in clinical settings.
DESIGN
A cross sectional study was conducted.
METHODS
The scores from the 6MWT and the shorter 10mWT of 58 ambulatory subjects with KOA were compared. Correlation, and a univariate regression analysis to explore the predictive ability of the 10mWT, were calculated.
RESULTS
Correlation was excellent (r = 0.913, p-value<0.001), and the predictive equation based on the 10mWT scores (R = 0.834, p-value<0.001) estimates the distance walked in the 6MWT with a relative error of 7.62%.
CONCLUSIONS
The 10mWT may be an excellent assessment-tool to predict the distance walked in the 6MWT, due to its low strain on patients and as a means of improving efficiency and reducing time-constraints.
背景
6分钟步行试验（6MWT）是膝关节骨关节炎（KOA）中常用的一项功能测试，但该疾病所具有的疼痛和功能障碍可能会干扰测试的正常进行。
目的
较短的10米步行试验（10mWT）可以预测6MWT的步行距离，从而减轻患者负担，提高效率，并减少临床环境中的空间和时间限制。
设计
进行了一项横断面研究。
方法
比较了58名KOA门诊患者的6MWT和较短的10mWT得分。计算相关性，并进行单变量回归分析以探索10mWT的预测能力。
结果
相关性极佳（r = 0.913，p值<0.001），基于10mWT得分的预测方程（R = 0.834，p值<0.001）估计6MWT中的步行距离，相对误差为7.62%。
结论
10mWT可能是预测6MWT步行距离的一种优秀评估工具，因为它对患者的压力较小，并且是提高效率和减少时间限制的一种手段。
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