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多发性硬化症的中年患者表现出与神经典型老年人相似的移动特征。

Middle-age people with multiple sclerosis demonstrate similar mobility characteristics to neurotypical older adults.

机构信息

Department of Health & Exercise Science, Colorado State University, Fort Collins, Colorado, USA.

Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, Florida, USA.

出版信息

Mult Scler Relat Disord. 2021 Jun;51:102924. doi: 10.1016/j.msard.2021.102924. Epub 2021 Mar 25.

Abstract

BACKGROUND

Clinical trials often report significant mobility differences between neurotypical and atypical groups, however, these analyses often do not determine which measures are capable of discriminating between groups. Additionally, indirect evidence supports the notion that some mobility impaired populations demonstrate similar mobility deficits. Thus, the current study aimed to provide a comprehensive analysis of three distinct aspects of mobility (walking, turning, and balance) to determine which variables were significantly different and were also able to discriminate between neurotypical older adults (OA) and middle-aged people with multiple sclerosis (PwMS), and between middle-aged neurotypical adults and PwMS.

METHODS

This study recruited 21 neurotypical OA, 19 middle-aged neurotypical adults, and 30 people with relapsing remitting MS. Participants came into the laboratory on two separate occasions to complete mobility testing while wearing wireless inertial sensors. Testing included a self-selected pace two-minute walk, a series of 180˚ and 360˚ turns, and a clinical balance test capturing a total of 99 distinct mobility characteristics. We determined significant differences for gait and turning measures through univariate analyses and a series of repeated measures analysis of variance in determining significance for balance conditions and measures. In determining discrimination between groups, the Area Under the Curve (AUC) was calculated for all individual mobility measures with a threshold of 0.80, denoting excellent discrimination. Additionally, a stepwise regression of the top five AUC producing variables was performed to determine whether a combination of variables could enhance discrimination while accounting for multicollinearity.

RESULTS

The results between neurotypical OA and middle-aged PwMS demonstrated significant differences for three gait and one turning variable, with no variable or combination of variables able to provide excellent discrimination between groups. Between middle-age neurotypical adults and PwMS a variety of mean and variability gait measures demonstrated significant differences between groups; however, no variable or combination of variables met discriminatory threshold. For turning, five 360˚ turn variables demonstrated significant differences and furthermore, the combination of 360˚ mean turn duration and variability of peak turn velocity were able to discriminate between groups. Finally, the majority of postural sway measures demonstrated significant group differences and the ability to discriminate between groups, particularly during more challenging balance conditions where participants stood on a compliant surface.

CONCLUSION

These results offer a comprehensive analysis of mobility differences and measures capable of discriminating between middle-age neurotypical adults and PwMS. Additionally, these results provide evidence that OA and middle-age PwMS display similar movement characteristics and thus a potential indicator of advanced aging from a mobility perspective.

摘要

背景

临床试验常报告神经典型和非典型组之间存在显著的活动能力差异,但这些分析通常无法确定哪些指标能够区分组间差异。此外,间接证据支持某些活动能力受损的人群表现出相似的活动能力缺陷的观点。因此,本研究旨在对活动能力的三个不同方面(行走、转弯和平衡)进行全面分析,以确定哪些变量存在显著差异,并能够区分神经典型的老年组(OA)和中年多发性硬化症患者(PwMS),以及中年神经典型的成年人和 PwMS 之间的差异。

方法

本研究招募了 21 名神经典型的 OA、19 名中年神经典型的成年人和 30 名复发性缓解型 MS 患者。参与者在两次不同的时间到实验室完成移动测试,同时佩戴无线惯性传感器。测试包括自主选择的两分钟行走、一系列 180˚和 360˚转弯以及一个临床平衡测试,共捕获了 99 个不同的活动能力特征。我们通过单变量分析确定了步态和转弯测量的显著差异,并通过重复测量方差分析确定了平衡条件和测量的显著差异。为了确定组间的区分,计算了所有个体活动能力测量的曲线下面积(AUC),阈值为 0.80,表示优秀的区分度。此外,对产生 AUC 值最高的五个变量进行逐步回归,以确定是否可以结合变量来增强区分度,同时考虑到多重共线性。

结果

神经典型的 OA 和中年 PwMS 之间的结果显示,三个步态变量和一个转弯变量存在显著差异,没有任何变量或变量组合能够提供优秀的组间区分度。在中年神经典型的成年人和 PwMS 之间,各种平均和变异性步态测量都存在显著的组间差异;然而,没有变量或变量组合符合区分阈值。在转弯方面,五个 360˚转弯变量显示出显著差异,并且 360˚平均转弯持续时间和转弯速度峰值变异性的组合能够区分组间差异。最后,大多数姿势摆动测量显示出显著的组间差异和区分组间差异的能力,尤其是在更具挑战性的平衡条件下,参与者站在柔软的表面上。

结论

这些结果提供了对中年神经典型的成年人和 PwMS 之间的移动能力差异和能够区分组间差异的测量的全面分析。此外,这些结果提供了证据表明 OA 和中年 PwMS 表现出相似的运动特征,因此从移动能力的角度来看,这是一种与衰老相关的潜在指标。

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