马耳他步态量表的验证:卒中后评估的高效工具。

IF 1.6 Q3 PERIPHERAL VASCULAR DISEASE
Stroke Research and Treatment Pub Date : 2025-03-27 eCollection Date: 2025-01-01 DOI:10.1155/srat/8849857
Valerio Sarmati, Carlos Carmona, Alessandro Morciano, Samuel Gutiérrez, Ingrid Velásquez, José Fernández
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引用次数: 0

摘要

超过80%的中风幸存者会出现行走功能障碍,影响生活质量。康复对步态恢复至关重要,准确的评估有助于量身定制方案。虽然计算机步态分析是黄金标准,但它成本高昂,需要专门的训练,这使得观察步态分析(OGA)更加普遍。然而,OGA也很耗时。本研究验证了马耳他步态量表(MGS),这是一种简洁、图解的7项观察工具,使用视频记录进行步态测量。目的是通过将MGS与现有的威斯康星步态量表(WGS)和步态评估干预工具(步态评估干预工具)进行比较,为步态评估提供一种有效、快捷的方法。威斯康星步态量表和步态评估干预工具分别有14个和31个项目。49名参与者被纳入回顾性研究以验证MGS。我们使用加权科恩kappa (κ)来评估其内部和内部信度。采用Spearman’s rho (ρ)将MGS量表与WGS量表和步态量表进行比较,评估并发效度。Wilcoxon测试评估了MGS在检测康复诱导的变化、区分健康参与者和卒中参与者以及评估时间效率方面的功效。MGS表现出几乎完美的一致性,判据间和判据内的κ值分别为0.952和0.977。与WGS和步态呈高度正相关,ρ值分别为0.898和0.877。MGS平均给药时间为7分钟29秒,显著低于WGS(27分钟46秒)和步态(50分钟6秒)(p < 0.001)。康复后,使用MGS和WGS量表观察到患者的显著改善(p = 0.018), MGS有效区分健康个体和脑卒中患者(p < 0.001)。MGS是一种有效、可靠、高效的中风幸存者步态评估工具,支持智能手机的使用,并促进临床环境中时间至关重要的快速测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of the Malta Gait Scale: A Time-Efficient Tool for Poststroke Assessment.

Over 80% of stroke survivors experience walking dysfunction, impacting quality of life. Rehabilitation is crucial for gait recovery, and accurate assessments facilitate tailored programs. While computerized gait analysis is the gold standard, it is costly and requires specialized training, making observational gait analysis (OGA) more common. However, OGA can also be time-consuming. This study validates the Malta Gait Scale (MGS), a concise, illustrated 7-item observational tool using video recordings for gait measurements. The aim is to provide an effective, time-efficient method for gait evaluations by comparing the MGS with the established Wisconsin Gait Scale (WGS) and Gait Assessment Intervention Tool (GAIT), which have 14 and 31 items, respectively. Forty-nine participants were included in a retrospective study to validate the MGS. We evaluated its reliability using weighted Cohen's kappa (κ) for intrarater and interrater reliability. Concurrent validity was assessed by comparing the MGS with the WGS and GAIT scales using Spearman's rho (ρ). The Wilcoxon test assessed the efficacy of the MGS in detecting rehabilitation-induced changes, differentiating healthy from stroke participants, and evaluating time efficiency. The MGS demonstrated almost perfect agreement, with interrater and intrarater κ values of 0.952 and 0.977, respectively. It showed high positive correlations with the WGS and GAIT, with ρ values of 0.898 and 0.877. MGS required an average administration time of 7 min and 29 s, significantly less than the WGS (27 min and 46 s) and GAIT (50 min and 6 s) (p < 0.001). Following rehabilitation, significant improvements were observed in patients using both the MGS and WGS scales (p = 0.018), and the MGS effectively distinguished between healthy individuals and stroke patients (p < 0.001). The MGS is a valid, reliable, and efficient tool for gait assessment in stroke survivors, supporting smartphone use and facilitating rapid measurements in clinical settings where time is critical.

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来源期刊
Stroke Research and Treatment
Stroke Research and Treatment PERIPHERAL VASCULAR DISEASE-
CiteScore
3.20
自引率
0.00%
发文量
14
审稿时长
12 weeks
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