Clinical Decision Trees to Guide Physical Therapy Management of Persons with Huntington's Disease.

BACKGROUND: In 2020, our group published physical therapy clinical practice guidelines (CPG) for people with Huntington's disease (HD). The guideline recommendations were categorized according to six primary movement impairment classifications. OBJECTIVE: To facilitate implementation of this CPG, we have developed guideline-based algorithms for physical therapy assessments and interventions and recommendations for therapists to overcome barriers to CPG implementation for people with HD. METHODS: We conducted a literature review of papers that evaluated physical therapy interventions in individuals with HD (n = 26) to identify assessments for each of the primary movement impairment classifications, and then searched for papers (n = 28) that reported their clinometric/psychometric properties in HD. Assessments were evaluated using modified Movement Disorder Society Committee on Rating Scales criteria and other relevant criteria. RESULTS: We identified a "core set" of physical therapy assessments for persons with HD, including the Six Minute Walk Test, Timed Up and Go Test, Berg Balance Scale, and the Medical Outcomes Study Short Form 36 (SF-36). We then developed guideline-based decision trees to assist in decision making and implementation of the CPG into practice for persons with HD across the continuum of care. Finally, we developed strategies for overcoming barriers to implementation, such as seeking specialized training in HD, engaging caretakers or family members to help the person with HD to exercise, and establishing clinical pathways that support early physical therapy referrals. CONCLUSION: Knowledge translation documents such as this are essential to promoting implementation of the physical therapy CPGs into clinical practice.

Backward Walking and Dual-Task Assessment Improve Identification of Gait Impairments and Fall Risk in Individuals with MS.

BACKGROUND: Individuals with multiple sclerosis (MS) experience deficits in motor and cognitive domains, resulting in impairment in dual-task walking ability. The goal of this study was to compare performance of forward walking and backward walking in single- and dual-task conditions in persons with MS to age- and sex-matched healthy controls. We also examined relationships between forward and backward walking to cognitive function, balance, and retrospective fall reports. METHODS: All measures were collected in a single session. A 2 × 2 × 2 mixed model ANOVA was used to compare differences in forward and backward walking in single- and dual-task conditions between MS and healthy controls. Spearman correlations were used to examine relationships between gait and cognitive function, falls, and balance. RESULTS: Eighteen individuals with relapsing-remitting MS and 14 age- and sex-matched healthy controls participated. Backward walking velocity revealed significant differences between groups for both single-task (p = 0.015) and dual-task (p = 0.014) conditions. Persons with MS demonstrated significant differences between single- and dual-task forward and backward walking velocities (p = 0.023; p = 0.004), whereas this difference was only apparent in the backward walking condition for healthy controls (p = 0.004). In persons with MS, there were significant differences in double support time between single- and dual-task conditions in both backward (p < 0.001) and forward (p = 0.001) directions. More falls at six months were significantly associated with shorter backward dual-task stride length (r = -0.490; p = 0.046) and slower velocity (r = -0.483; p = 0.050). CONCLUSION: Differences in MS and age- and sex-matched healthy controls are more pronounced during backward compared to forward walking under single- and dual-task conditions. Future work with a larger sample size is needed to validate the clinical utility of backward walking and dual-task assessments and mitigate the limited sensitivity of the current dual-task assessments that primarily rely upon forward walking.

Quantitative biomechanical assessment of trunk control in Huntington's disease reveals more impairment in static than dynamic tasks.

Postural instability is common in individuals with Huntington's disease (HD), yet little is known about control of the trunk during static and dynamic activities. We compared the trunk motion of 41 individuals with HD and 36 controls at thoracic and pelvic levels during sitting, standing, and walking using wearable iPod sensors. We also examined the ability of individuals with HD to respond to an auditory cue to modify trunk position when the pelvis moved >8° in sagittal or frontal planes during sitting using custom software. We found that amplitude of thoracic and pelvic trunk movements was significantly greater in participants with HD, and differences were more pronounced during static (i.e. sitting, standing) than dynamic (i.e. walking) tasks. In contrast to the slow, smooth sinusoidal trunk movements of controls, individuals with HD demonstrated rapid movements with varying amplitudes that continuously increased without stabilizing. Ninety-seven percent of participants with HD were able to modify their trunk position in response to auditory cues. Our results demonstrate that wearable iPod sensors are clinically useful for rehabilitation professionals to measure and monitor trunk stability in persons with HD. Additionally, auditory cueing holds potential as a useful training tool to improve trunk stability in HD.

Reliability and validity of a wireless accelerometer for the assessment of postural sway.

Clinicians are in need of valid and objective measures of postural sway. Accelerometers have been shown to be suitable alternatives to expensive and stationary force plates. We evaluated the test-retest reliability and balance task discrimination capability of a new wireless triaxial accelerometer (YEI 3-Space Sensor). Four testing conditions (eyes open or closed, while on a firm or compliant surface) were used to progressively challenge the static balance of 20 healthy male (n = 8) and female (n = 12) older adults (mean age 81 ± 4.3 y). Subjects completed 2 blocks of three 30-second trials per condition. The accelerometer was positioned on the lower back to acquire mediolateral (M-L) and anterior-posterior (A-P) accelerations. Intraclass correlation coefficients were all good to excellent, with values ranging from .736 to .972 for trial-to-trial and from .760 to .954 for block-to- block. A significant stepwise increase in center of mass acceleration root mean square values was found across the 4 balance conditions (F[1.49, 28.26] = 39.54, P < .001). The new accelerometer exhibited good to excellent trial-to-trial and block-to-block reliability and was sensitive to differences in visual and surface conditions and acceleration axes.

Selecting measures for balance and mobility to improve assessment and treatment of individuals after stroke.

Assessment of individuals with stroke using reliable and valid outcome measures is a key component of the treatment planning process. Health care professionals may have difficulty selecting balance and mobility measures given the large number of measures to choose from. This article utilizes a case-based approach to describe the benefits of using a common set of outcome measures and a process for selecting optimal measures across body structure/function, activity, and participation domains of the International Classification of Functioning, Disability and Health (ICF) model and stages of stroke recovery. Specific measures for use in acute care, rehabilitation, outpatient, and home health care settings are discussed based on StrokEDGE task force recommendations by the Neurology Section of the American Physical Therapy Association.

Fall risk assessment using the Tinetti mobility test in individuals with Huntington's disease.

The Tinetti Mobility Test (TMT) is a clinical balance and gait test that predicts fall risk in the elderly. This study examined the concurrent validity, usefulness of the TMT as a fall risk screening tool, and the potential ability of the TMT to predict falls in individuals with Huntington's disease (HD). Data from a retrospective review of 94 patient records were used. TMT scores were correlated with Unified Huntington Disease Rating Scale (UHDRS) motor scores. The ability of the TMT to accurately assess fall risk was determined using validity index measures. Logistic regression was used to assess the ability of the TMT to predict falls. TMT scores correlated with UHDRS motor scores (r(s) = -0.751, P < 0.0001). Using a cutoff value of 21, the TMT had a sensitivity of 74% and a specificity of 60% to identify fallers. Lower TMT scores and younger age were significant predictors of falls. The TMT is a valid tool for assessing balance and gait status and fall risk of individuals with HD.