Google Maps Timeline: An open-access digital tool to monitor walking abilities in people with multiple sclerosis.

IF 2.5 Q2 CLINICAL NEUROLOGY Multiple Sclerosis Journal - Experimental, Translational and Clinical Pub Date : 2023-09-16 eCollection Date: 2023-07-01 DOI:10.1177/20552173231202123
Daniele Caliendo, Anna Puca, Luigi Lavorgna, Antonio Carotenuto, Maria Petracca, Roberta Lanzillo, Vincenzo Brescia Morra, Marcello Moccia
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引用次数: 1

Abstract

Introduction: Gait impairment is common in multiple sclerosis (MS), but difficult to evaluate in clinical practice. In this proof-of-concept observational study, we compared walking ability recorded by Google Maps Timeline to conventional clinical measures in people with MS.

Methods: We used open-access Google Maps Timeline to record the total number of days with walking activity, walking distance, walking time, and walking speed. Each Google Maps Timeline variable was included in a different stepwise linear regression model including all conventional clinical variables.

Results: We included nine people with MS (age 43.1 ± 6.6 years; females 55.6%; disease duration 12.7 ± 3.1 years; median Expanded Disability Status Scale 3.0 (range 1.0-5.5)). Higher percentage of days with recorded walking was associated with lower Fatigue Severity Scale (p = 0.01), and higher MS Walking Scale (p = 0.04). Longer average daily walking distance was associated with shorter Timed-25 Foot Walking Test (p = 0.02), lower Expanded Disability Status Scale (p = 0.01), and higher Euro-Quality of Life (p = 0.04). Longer average daily walking time was associated with shorter Timed-25 Foot Walking Test (p = 0.03). Higher walking speed was associated with lower Fatigue Severity Scale (p = 0.04).

Conclusion: Google Maps Timeline parameters provide actual estimates of daily walking activities in MS.

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谷歌地图时间线:一个开放获取的数字工具,用于监测多发性硬化症患者的行走能力。
引言:步态障碍在多发性硬化症中很常见,但在临床实践中很难评估。在这项概念验证观察性研究中,我们将谷歌地图时间线记录的多发性硬化症患者的行走能力与传统临床测量进行了比较。方法:我们使用开放访问的谷歌地图时间轴记录行走活动的总天数、行走距离、行走时间和行走速度。每个Google Maps Timeline变量都包含在一个不同的逐步线性回归模型中,该模型包括所有传统的临床变量。结果:我们纳入了9名MS患者(年龄43.1 ± 6.6年;女性55.6%;病程12.7 ± 3.1年;中位扩展残疾状态量表3.0(范围1.0-5.5)。有记录的步行天数百分比越高,疲劳严重程度量表越低(p = 0.01)和较高的MS步行量表(p = 0.04)。较长的平均日步行距离与较短的时间-25英尺步行测试相关(p = 0.02),较低的扩展残疾状态量表(p = 0.01),以及更高的欧洲生活质量(p = 0.04)。较长的平均每日步行时间与较短的25英尺步行时间相关(p = 0.03)。较高的步行速度与较低的疲劳严重程度相关(p = 0.04)。结论:谷歌地图时间轴参数提供了MS患者日常步行活动的实际估计。
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来源期刊
CiteScore
4.70
自引率
0.00%
发文量
54
审稿时长
15 weeks
期刊最新文献
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