Mügge F, Kleinholdermann U, Heun A, Ollenschläger M, Hannink J, Pedrosa D J
Department of Neurology, University Hospital of Marburg, Baldingerstraße, Marburg, Germany.
Portabiles HealthCare Technologies, Henkestraße 91, 91052, Erlangen, Germany.
Neurol Res Pract. 2023 Aug 10;5(1):33. doi: 10.1186/s42466-023-00263-7.
Mobile gait sensors represent a compelling tool to objectify the severity of symptoms in patients with idiopathic Parkinson's disease (iPD), but also to determine the therapeutic benefit of interventions. In particular, parameters of Deep Brain stimulation (DBS) with its short latency could be accurately assessed using sensor data. This study aimed at gaining insight into gait changes due to different DBS parameters in patients with subthalamic nucleus (STN) DBS.
An analysis of various gait examinations was performed on 23 of the initially enrolled 27 iPD patients with chronic STN DBS. Stimulation settings were previously adjusted for either amplitude, frequency, or pulse width in a randomised order. A linear mixed effects model was used to analyse changes in gait speed, stride length, and maximum sensor lift.
The findings of our study indicate significant improvements in gait speed, stride length, and leg lift measurable with mobile gait sensors under different DBS parameter variations. Notably, we observed positive results at 85 Hz, which proved to be more effective than often applied higher frequencies and that these improvements were traceable across almost all conditions. While pulse widths did produce some improvements in leg lift, they were less well tolerated and had inconsistent effects on some of the gait parameters. Our research suggests that using lower frequencies of DBS may offer a more tolerable and effective approach to enhancing gait in individuals with iPD.
Our results advocate for lower stimulation frequencies for patients who report gait difficulties, especially those who can adapt their DBS settings remotely. They also show that mobile gait sensors could be incorporated into clinical practice in the near future.
移动步态传感器是一种很有吸引力的工具,不仅可以客观地评估特发性帕金森病(iPD)患者症状的严重程度,还可以确定干预措施的治疗效果。特别是,利用传感器数据可以准确评估潜伏期短的深部脑刺激(DBS)参数。本研究旨在深入了解丘脑底核(STN)DBS患者因不同DBS参数引起的步态变化。
对最初纳入的27例接受慢性STN DBS治疗的iPD患者中的23例进行了各种步态检查分析。刺激设置先前已按随机顺序针对振幅、频率或脉冲宽度进行了调整。采用线性混合效应模型分析步态速度、步长和最大传感器抬升的变化。
我们的研究结果表明,在不同的DBS参数变化下,移动步态传感器可测量到步态速度、步长和腿部抬升有显著改善。值得注意的是,我们在85Hz时观察到了积极的结果,事实证明该频率比常用的更高频率更有效,并且这些改善在几乎所有情况下都可追踪到。虽然脉冲宽度确实在腿部抬升方面产生了一些改善,但它们的耐受性较差,并且对某些步态参数的影响不一致。我们的研究表明,使用较低频率的DBS可能为改善iPD患者的步态提供一种更可耐受且有效的方法。
我们的结果支持为报告有步态困难的患者,特别是那些可以远程调整其DBS设置的患者采用较低的刺激频率。研究结果还表明,移动步态传感器在不久的将来可纳入临床实践。