Journal of Neurologic Physical Therapy最新文献

Background and purpose: Energy minimization is thought to underlie the naturally selected, preferred walking speed; however, people post-stroke walk slower than their most economical speed, presumably to optimize other objectives, such as stability. The purpose of this study was to examine the interplay between walking speed, economy, and stability.

Methods: Seven individuals with chronic hemiparesis walked on a treadmill at 1 of 3 randomized speeds: slow, preferred, and fast. Concurrent measurements of speed-induced changes in walking economy (ie, the energy needed to move 1 kg of bodyweight 1 ml O 2 /kg/m) and stability were made. Stability was quantified as the regularity and divergence of the mediolateral motion of the pelvic center of mass (pCoM) during walking, as well as pCoM motion relative to the base of support.

Results: Slower walking speeds were more stable (ie, pCoM motion was 10% ± 5% more regular and 26% ± 16% less divergent) but 12% ± 5% less economical. Conversely, faster walking speeds were 9% ± 8% more economical, but also less stable (ie, pCoM motion was 17% ± 5% more irregular). Individuals with slower walking speeds had an enhanced energetic benefit when walking faster ( rs = 0.96, P < 0.001). Individuals with greater neuromotor impairment had an enhanced stability benefit when walking slower ( rs = 0.86, P = 0.01).

Discussion and conclusions: People post-stroke appear to prefer walking speeds that are faster than their most stable speed but slower than their most economical speed. The preferred walking speed after stroke appears to balance stability and economy. To encourage faster and more economical walking, deficits in the stable control of the mediolateral motion of the pCoM may need to be addressed.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A416 ).

Background and purpose: Physical exercise is considered an effective intervention for maintaining or improving quality of life (QoL) in patients with Parkinson disease (PD), but there is no evidence showing which type of physical exercise intervention has more positive effects. This systematic review and meta-analysis aimed to synthesize the evidence regarding the effectiveness of exercise interventions on improving QoL in patients with PD, comparing different types of exercise interventions.

Methods: A literature search was conducted through January 2022. The methodological quality of the trials was assessed using the Cochrane risk of bias tool RoB2. For the meta-analysis, physical exercise interventions were classified into 5 training categories: resistance, endurance, alternative exercises, dance, and sensorimotor interventions. A standard meta-analysis and network meta-analysis were carried out to evaluate the efficacy of the different types of physical exercise interventions.

Results: The search retrieved 2451 studies, 48 of which were included in this network meta-analysis with a total of 2977 patients with PD. The indirect effects of the network meta-analysis showed positive results for alternative exercises (-0.46; 95% confidence interval [CI]: -0.76, -0.16), dance (-0.63; 95% CI: -1.08, -0.17), and sensorimotor interventions (-0.23; 95% CI: -0.40, -0.07) versus control comparisons.

Discussion and conclusions: More research is needed to determine the types of physical exercise interventions that are most beneficial and for which conditions of the disease they have the most positive effects.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A398 ).

Background and purpose: The Functional Gait Assessment (FGA) and High Level Mobility Assessment Tool (HiMAT) are clinical batteries used to assess people with mild traumatic brain injury (mTBI). However, neither assessment was specifically developed for people with mTBI; the FGA was developed to evaluate vestibular deficits, and the HiMAT was developed for individuals with more severe TBI. To maximize the sensitivity and reduce the time burden of these assessments, the purpose of this study was to determine the combination of FGA and HiMAT items that best discriminates persons with persistent symptoms from mTBI from healthy controls.

Methods: Fifty-three symptomatic civilians with persistent symptoms from mTBI (21% male, aged 31 (9.5) years, 328 [267] days since concussion) and 57 healthy adults (28% male, aged 32 (9.6) years) participated across 3 sites. The FGA and HiMAT were evaluated sequentially as part of a larger study. To determine the best combination of items, a lasso-based generalized linear model (glm) was fit to all data.

Results: The area under the curve (AUC) for FGA and HiMAT total scores was 0.68 and 0.66, respectively. Lasso regression selected 4 items, including FGA Gait with Horizontal Head Turns and with Pivot Turn, and HiMAT Fast Forward and Backward Walk, and yielded an AUC (95% confidence interval) of 0.71 (0.61-0.79) using standard scoring.

Discussion and conclusions: The results provide initial evidence supporting a reduced, 4-Item Hybrid Assessment of Mobility for mTBI (HAM-4-mTBI) for monitoring individuals with mTBI. Future work should validate the HAM-4-mTBI and investigate its utility for tracking progression throughout rehabilitation.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, http://links.lww.com/JNPT/A409 ).

Background and purpose: Motor functional neurological disorder is a prevalent and costly condition at the intersection of neurology and psychiatry that is diagnosed using positive "rule-in" signs. Physical therapy is a first-line treatment and consensus recommendations exist to guide clinical care. Nonetheless, optimal outpatient treatment of adults with functional motor symptoms requires an expanded physical therapy tool kit to effectively guide care.

Summary of key points: In this article, lessons learned from a physical therapist practicing in a multidisciplinary and interdisciplinary outpatient functional neurological disorder clinic are highlighted. In doing so, we discuss how use of the biopsychosocial model and neuroscience constructs can inform physical therapy interventions. The importance of team-based care and the delivery of physical therapy through video telehealth services are also outlined.

Recommendations for clinical practice: Use of the biopsychosocial formulation to triage clinical challenges and guide longitudinal care, coupled with application of neuroscience to aid intervention selection, allows for patient-centered physical therapy treatment across the spectrum of functional motor symptoms.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A400 ).

Background and purpose: The Berg Balance Scale (BBS) is frequently used in routine clinical care and research settings and has good psychometric properties. This study was conducted to develop a short form of the BBS using a machine learning approach (BBS-ML).

Methods: Data of 408 individuals poststroke were extracted from a published database. The initial (ie, 4-, 5-, 6-, 7-, and 8-item) versions were constructed by selecting top-ranked items based on the feature selection algorithm in the artificial neural network model. The final version of the BBS-ML was chosen by selecting the short form that used a smaller number of items to achieve a higher predictive power R2 , a lower 95% limit of agreement (LoA), and an adequate possible scoring point (PSP). An independent sample of 226 persons with stroke was used for external validation.

Results: The R2 values for the initial 4-, 5-, 6-, 7-, and 8-item short forms were 0.93, 0.95, 0.97, 0.97, and 0.97, respectively. The 95% LoAs were 14.2, 12.2, 9.7, 9.6, and 8.9, respectively. The PSPs were 25, 35, 34, 35, and 36, respectively. The 6-item version was selected as the final BBS-ML. Preliminary external validation supported its performance in an independent sample of persons with stroke ( R2 = 0.99, LoA = 10.6, PSP = 37).

Discussion and conclusions: The BBS-ML seems to be a promising short-form alternative to improve administrative efficiency. Future research is needed to examine the psychometric properties and clinical usage of the 6-item BBS-ML in various settings and samples.Video Abstract available for more insights from the authors (see the Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A402 ).