College of Medicine, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, 72205, USA.
Parkinsonism Relat Disord. 2024 Oct;127:107078. doi: 10.1016/j.parkreldis.2024.107078. Epub 2024 Jul 30.
Tandem gait performance reportedly predicts fall risk in people with Parkinson's disease (PwPD) and help distinguish PwPD from atypical parkinsonism. In a cross-sectional study, we previously showed that tandem gait step-width widens with increasing Hoehn and Yahr (H&Y) staging scores. In this longitudinal study, we aimed to determine if progression in tandem gait deficits is dependent on disease severity in PwPD.
Participants underwent an instrumented tandem gait measurement every 6 months for at least 2 years. The mean and variability of 4 tandem gait parameters were calculated at each visit: step-width, step-length, step-time, and step-velocity. The change in these parameters over time for 3 H&Y groups (stage 1, 2 and 2.5+) compared to aging controls was determined using a random coefficients regression model. The annual percent change in tandem gait parameters was correlated with initial disease features using Kendall's τ.
66 participants were analyzed (46 PD, 20 controls). Mean step-width increased over time in an H&Y stage-dependent manner, with H&Y 2 and H&Y 2.5+ experiencing increases of 6% and 10% per year (p = 0.001 and 0.024 respectively). Annual percent-change in step-width was correlated with initial motor Unified Parkinson's Disease Rating Scale (UPDRS) scores (Kendall's τ = 0.229), total UPDRS scores (τ = 0.249), H&Y scores (τ = 0.266) and inversely correlated with Montreal Cognitive Assessment (MoCA) scores (τ = -0.209; ps ≤ 0.019).
Tandem gait step-width widens over time more rapidly in more severely affected PD patients. These results suggest that tandem gait should be routinely clinically evaluated and considered in the management of imbalance in PwPD.
据报道,串联步态表现可预测帕金森病患者(PwPD)的跌倒风险,并有助于将 PwPD 与非典型帕金森病区分开来。在一项横断面研究中,我们之前表明,随着 Hoehn 和 Yahr(H&Y)分期评分的增加,串联步态步宽会变宽。在这项纵向研究中,我们旨在确定 PwPD 中串联步态缺陷的进展是否取决于疾病严重程度。
参与者每 6 个月接受一次仪器化的串联步态测量,至少持续 2 年。在每次就诊时计算 4 个串联步态参数的平均值和变异性:步宽、步长、步时和步速。使用随机系数回归模型确定 3 个 H&Y 组(1 期、2 期和 2.5+期)与年龄匹配对照组相比,这些参数随时间的变化。使用 Kendall's τ 分析串联步态参数的年变化率与初始疾病特征的相关性。
分析了 66 名参与者(46 名 PD,20 名对照组)。步宽随时间呈 H&Y 阶段依赖性增加,H&Y 2 期和 H&Y 2.5+期每年分别增加 6%和 10%(p=0.001 和 0.024)。步宽的年变化率与初始运动性统一帕金森病评定量表(UPDRS)评分(Kendall's τ=0.229)、总 UPDRS 评分(τ=0.249)、H&Y 评分(τ=0.266)呈正相关,与蒙特利尔认知评估(MoCA)评分呈负相关(τ=-0.209;p≤0.019)。
在病情较重的 PwPD 患者中,串联步态步宽随时间的推移会更快地变宽。这些结果表明,在 PwPD 患者中,应常规进行临床评估并考虑使用串联步态来管理平衡障碍。