Arizona State University, College of Health Solutions, USA.
University of Kansas Medical Center, Department of Physical Therapy and Rehabilitation Science, USA.
Gait Posture. 2022 Feb;92:30-35. doi: 10.1016/j.gaitpost.2021.11.008. Epub 2021 Nov 15.
Falls are common in persons with multiple sclerosis (PwMS). Reactive postural control-one's response to a balance perturbation-is likely an aspect of fall risk; however, the relationship between reactive posture and falls is poorly understood in PwMS.
We evaluated tibialis anterior muscle onset latency (TA latency) after balance perturbations as a predictor of fall rates in PwMS, controlling for clinical, functional, sensory, psychological, and cognitive factors.
At baseline of the 18-month cohort study, 122 participants with MS (EDSS = 2.23) were included. Assessments were conducted every 6 months.
Of the original 122 participants at the baseline collection, data were available from 41, 39, and 34 people at the 6, 12, and 18 month follow-ups, respectively. Percent fallers at the four time points were 35.3%, 12.2%, 15.4%, and 20.5%. Cross-sectionally (i.e., at baseline), the Timed Up-and-Go, Falls Efficacy Scale - International (FES-I), and TA latency after perturbations were significant predictors of retrospective falls rates using negative binomial regression. Longitudinally, random-effects negative binomial regression found that trait-level FES-I, Stroop Color-Word, and TA latency were significant predictors for falls rates.
Delays in automatic postural responses seem to account uniquely for fall rates in PwMS-beyond clinical, balance, or mobility measures. These delays may contribute to the increased fall rate in PwMS. In addition to brief self-report instruments (FES-I) and cognitive assessments, muscle onset after balance perturbations may be a valuable tool for predicting falls in those with MS.
多发性硬化症(MS)患者常发生跌倒。反应性姿势控制(即对平衡干扰的反应)可能是跌倒风险的一个方面;然而,在 MS 患者中,反应性姿势与跌倒之间的关系尚不清楚。
我们评估了平衡干扰后胫骨前肌起始潜伏期(TA 潜伏期)作为 MS 患者跌倒率的预测指标,同时控制了临床、功能、感觉、心理和认知因素。
在这项为期 18 个月的队列研究的基线时,纳入了 122 名 MS 患者(EDSS = 2.23)。评估每 6 个月进行一次。
在基线采集时的 122 名原始参与者中,分别有 41、39 和 34 人在 6、12 和 18 个月的随访中提供了数据。四个时间点的跌倒百分比分别为 35.3%、12.2%、15.4%和 20.5%。横断面(即基线)分析发现,计时起立行走测试(Timed Up-and-Go)、跌倒效能感量表-国际版(FES-I)和平衡干扰后 TA 潜伏期是回顾性跌倒率的显著预测指标,采用负二项回归分析。纵向分析发现,特质 FES-I、Stroop 色词测验和 TA 潜伏期是跌倒率的显著预测指标,采用随机效应负二项回归分析。
自动姿势反应延迟似乎可以单独解释 MS 患者的跌倒率,超出了临床、平衡或移动性测量的范围。这些延迟可能导致 MS 患者跌倒率增加。除了简短的自我报告工具(FES-I)和认知评估外,平衡干扰后肌肉起始潜伏期可能是预测 MS 患者跌倒的有用工具。