Lumbar spinal stenosis (LSS) is a common disease in the elderly population; it has been reported that patients with LSS have an abnormal gait pattern due to symptom such as neurogenic intermittent claudication (NIC); however, no detailed reports exist on the plantar pressure distributions in LSS patients with NIC. To analysis the plantar pressure characteristics of LSS patients, the Footscan® pressure system was used to perform dynamic plantar pressure measurements in 20 LSS patients (age, years) before and after the occurrence of NIC. The contact time (CT), foot progression angle (FPA), pressure-time integral (PTI), and contact area (CA) were collected and compared between the LSS patients and age-matched healthy subjects in each measurement. The LSS group showed an increase in forefoot CT%, PTI, and CA% in both measurements compared with those in the control group. After the occurrence of NIC in the LSS group, CT%, PTI, and CA% of the forefoot increased further compared with those before the occurrence of NIC. In addition, after the occurrence of NIC, the PTI and CA% of the forefoot shifted from the medial foot to the lateral foot. The results suggested that the plantar pressure distributions of patients with LSS differs from normal subjects due to the posture of waking with lumbar forward flexion, and the forefoot bears a higher relative load. In addition, the occurrence of NIC could affect the plantar pressure distribution of the patients with LSS, predicting the patient’s risk of falling to the anterior direction and to the symptomatic side.

中文翻译：

---

腰椎管狭窄症患者神经源性间歇性lau行发生前后的动态足底压力分析：一项观察性研究。

腰椎管狭窄症（LSS）是老年人群中的常见疾病。据报道，由于神经源性间歇性lau行（NIC）等症状，LSS患者的步态异常。然而，目前尚无关于LSS NIC患者足底压力分布的详细报道。为了分析LSS患者的足底压力特征，使用Footscan®压力系统对20名LSS患者（年龄，年）发生在NIC之前和之后。收集接触时间（CT），足部前进角度（FPA），压力时间积分（PTI）和接触面积（CA），并在每次测量中比较LSS患者和年龄匹配的健康受试者之间的接触时间。与对照组相比，LSS组在两次测量中均显示前脚CT％，PTI和CA％升高。LSS组发生NIC后，前脚的CT％，PTI和CA％与NIC发生前相比进一步增加。此外，在发生NIC之后，前脚的PTI和CA％从内侧脚向外侧脚转移。结果表明，LSS患者的足底压力分布与正常人有所不同，这是因为醒来时腰部向前弯曲的姿势，前脚承受的相对负荷更高。此外，NIC的发生可能会影响LSS患者的足底压力分布，从而预测患者跌落至前侧和症状侧的风险。