Objective：The Japanese Orthopaedic Association Low Back Pain Evaluation Questionnaire (JOABPEQ) consists of 25 questions, which allows for the multifaceted evaluation of patients with low back pain. In this study, we aimed to investigate whether the JOABPEQ could be used to construct a regression model to quantify low back pain, lower limb symptoms, and hip range of motion (ROM) in patients with lumbar spinal stenosis.

Methods：We evaluated 115 patients with lumbar spinal stenosis scheduled to undergo surgery at our hospital. We measured the degrees of low back pain, lower leg pain, and lower leg numbness using the visual analog scale before the surgery. In addition, we measured the ROM of the hip joint during flexion, external rotation, and internal rotation. All responses of the JOABPEQ and physical function data were subjected to a partial least-squares (PLS) regression analysis.

Results：Low back pain, lower limb pain, lower limb numbness, and hip ROM during flexion could each be used for significant regression models with JOABPEQ items. However, the hip ROMs during external and internal rotation could not be used for regression models with the JOABPEQ.

Conclusion：On the basis of the results of the PLS regression analysis in this study, the degree of pain symptoms in patients with lumbar spinal stenosis may be quantified with the JOABPEQ items. Furthermore, the flexion angle of the hip ROM was quantified using the JOABPEQ items. The results of this study may indicate an effective means for establishing treatment plans for physical therapy.

A 70-year-old woman with rheumatoid arthritis underwent above-knee amputation due to osteomyelitis after right total knee arthroplasty. After the surgery, the patient started rehabilitation for wearing a prosthetic leg. However, the patient could not wear the prosthesis by herself because of severe upper limb impairment due to bilateral finger joint deformity and muscle weakness associated with the rheumatoid arthritis. Therefore, physical therapists and prosthetists/orthotists collaborated to determine movements that could be performed, even with muscle weakness, using assistive devices such as a Velcro strip handle with the prosthesis and a prosthetic liner stand. Subsequently, repetitive training was performed in an environment similar to the setting of the patient's prosthesis use at home. Consequently, although no change in upper limb function was observed, the patient had increased independence during prosthesis attachment. As she had difficulty wearing and removing her trousers/underwear while wearing the prosthesis, she performed movements using assistive devices and made changes to the order of movements. Six months after the surgery, she could wear the prosthesis and perform self-care correctly by herself and return home. Therefore, to maximize function that enables independence after amputation, helping patients learn how to put on the prosthesis using a team approach is important.

We report a case of a patient with chronic stroke who improved his gait ability through weekly gait training using Gait Exercise Assist Robot (GEAR). A man in his 70s, who developed cerebral infarction 27 years ago, presented with right-sided hemiplegia. Before gait training, the patient's gait ability was assessed to be independent, but poor toe clearance was observed on the paralyzed side during the swing phase. Therefore, we started gait training using GEAR with the goal of improving his gait pattern. The patient underwent gait training using GEAR for 20 min/day, 1 day/week for 12 weeks, wherein the treadmill speed was increased as much as possible in order to improve the swing of the paralyzed lower limbs, and the visual and auditory feedback functions were also used to promote the load and swing of the paralyzed lower limbs. As a result, the overground gait velocity, Timed Up and Go Test, and 6-minute walking distance increased after 4 weeks. However, poor toe clearance was observed on the paralyzed side during the swing phase even after 12 weeks of the training. These results suggest that 4 weeks of gait training using GEAR (performed only 1 day/week) may effectively improve the gait ability of patients with chronic stroke. On the other hand, no improvement in gait pattern was observed, and further investigation is required in the future.