Physical therapy
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Randomized Controlled Trial Multicenter Study Comparative Study
Influence of Baseline Kinesiophobia Levels on Treatment Outcome in People With Chronic Spinal Pain.
Pain neuroscience education (PNE) combined with cognition-targeted exercises is an effective treatment for people with chronic spinal pain (CSP). However, it is unclear why some patients benefit more from this treatment. We expect that patients with more pronounced maladaptive pain cognitions, such as kinesiophobia, might show poorer treatment responses. ⋯ People with chronic spinal pain and high levels of fear of movement were found to have worse treatment outcomes compared to people with low levels of fear of movement. However, our experimental treatment, which includes pain neuroscience education combined with exercise therapy that reintroduces specific movements patients might fear, can decrease this negative influence of fear of movement in these patients.
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Randomized Controlled Trial
Effects of Dual-Task Gait Treadmill Training on Gait Ability, Dual-Task Interference, and Fall Efficacy in People With Stroke: A Randomized Controlled Trial.
This study aimed to investigate the effects of dual-task gait training using a treadmill on gait ability, dual-task interference, and fall efficacy in people with stroke. ⋯ Dual-task gait treadmill training was more effective in improving gait ability in dual-task training and dual-task interference than single-task training involving gait and cognitive task separately in people with chronic stroke.
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The purpose of this case report is to provide the clinical presentation and physical therapist management for a patient with post-COVID syndrome. Secondarily, the report highlights the importance of assessing cognitive and emotional health in patients with post-COVID syndrome. ⋯ This case alerts physical therapists to post-COVID syndrome-which can include debilitating symptoms of decreased aerobic tolerance, anxiety, PTSD, and cognitive dysfunction-and to the role that therapists can play in assessing these symptoms and managing these patients.
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The COVID-19 pandemic has seen a rapid shift to telehealth-delivered physical therapy services. Common impairments after stroke create unique challenges when providing rehabilitation via telehealth, particularly when it involves activities undertaken in weight-bearing or standing positions, including walking training. Our scoping review maps the evidence regarding safety, efficacy, and feasibility of remotely supervised telehealth interventions involving activities undertaken in weight-bearing or standing positions for people after stroke. ⋯ The COVID-19 pandemic has necessitated a rapid shift to telerehabilitation services for people with stroke, but there is little evidence to guide best practice. Our review provides practical guidance and strategies to overcome barriers and optimize safety and adherence for telehealth interventions involving activities in weight-bearing or standing positions.
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Observational Study
A Deep-Learning-Based, Fully Automated Program to Segment and Quantify Major Spinal Components on Axial Lumbar Spine Magnetic Resonance Images.
The paraspinal muscles have been extensively studied on axial lumbar magnetic resonance imaging (MRI) for better understanding of back pain; however, the acquisition of measurements mainly relies on manual segmentation, which is time consuming. The study objective was to develop and validate a deep-learning-based program for automated acquisition of quantitative measurements for major lumbar spine components on axial lumbar MRIs, the paraspinal muscles in particular. ⋯ Such an automated program might encourage further epidemiological studies of the lumbar paraspinal muscle degeneration and enhance paraspinal muscle assessment in clinical practice.