IEEE Trans Neural Syst Rehabil Eng. 2022;30:1213-1222. doi: 10.1109/TNSRE.2022.3169962. Epub 2022 May 16.
Falls and mobility deficits are common in people with multiple sclerosis (PwMS) across all levels of clinical disability. However, functional mobility observed in supervised settings may not reflect daily life which may impact assessments of fall risk and impairment in the clinic. To investigate this further, we compared the utility of sensor-based performance metrics from sit-stand transitions during daily life and a structured task to inform fall risk and impairment in PwMS. Thirty-seven PwMS instrumented with wearable sensors (thigh and chest) completed supervised 30-second chair stand tests (30CST) and underwent two days of instrumented daily life monitoring. Performance metrics were computed for sit-stand transitions during daily life and 30CSTs. EDSS sub scores and fall history were used to dichotomize participants into groups: pyramidal/no pyramidal impairment, sensory/no sensory impairment and high/low fall risk. The ability of performance metrics to discriminate between groups was assessed using the area under the curve (AUC). The feature that best discriminated between high and low fall risk was a chest acceleration measurement from the supervised instrumented 30CST (AUC = 0.89). Only chest features indicated sensory impairment, however the task was different between supervised and daily life. The metric that best discriminated pyramidal impairment was a chest-derived feature (AUC = 0.89) from supervised 30CSTs. The highest AUC from daily life was observed in faller classification with the average sit-stand time (0.81). While characterizing sit-stand performance during daily life may yield insights into fall risk and may be performed without a clinic visit, there remains value to conducting supervised functional assessments to provide the best classification performance between the investigated impairments in this sample.
在多发性硬化症患者(PwMS)中,无论临床残疾程度如何,跌倒和行动障碍都很常见。然而,在监督环境中观察到的功能性移动能力可能无法反映日常生活情况,这可能会影响在诊所中评估跌倒风险和损伤程度。为了进一步研究这个问题,我们比较了基于传感器的日常活动中从坐下到站起的过渡性能指标与结构化任务的效用,以了解 PwMS 的跌倒风险和损伤情况。37 名佩戴可穿戴传感器(大腿和胸部)的 PwMS 完成了监督的 30 秒椅站测试(30CST),并进行了两天的日常活动监测。计算了日常活动和 30CST 中从坐下到站起的过渡性能指标。EDSS 子分数和跌倒史用于将参与者分为两组:锥体无损伤/锥体损伤、感觉无损伤/感觉损伤以及高跌倒风险/低跌倒风险。使用曲线下面积(AUC)评估性能指标区分组别的能力。最佳区分高和低跌倒风险的特征是监督仪器 30CST 中的胸部加速度测量值(AUC = 0.89)。仅胸部特征表明存在感觉损伤,但监督和日常活动之间的任务不同。最佳区分锥体损伤的指标是监督 30CST 中源自胸部的特征(AUC = 0.89)。日常生活中最佳 AUC 是跌倒者分类,平均坐下-站立时间(0.81)。虽然在日常生活中描述坐下-站立性能可能会深入了解跌倒风险,并且无需诊所就诊即可进行,但进行监督功能评估仍然具有价值,可以在本研究样本中提供最佳的损伤分类性能。