Ability-Based Balancing Using the Gross Motor Function Measure in Exergaming for Youth with Cerebral Palsy.

OBJECTIVE: To test if the gross motor function measure (GMFM) could be used to improve game balancing allowing youth with cerebral palsy (CP) with different physical abilities to play a cycling-based exercise videogame together. Our secondary objective determined if exergaming with the GMFM Ability-Based algorithm was enjoyable. MATERIALS AND METHODS: Eight youth with CP, 8-14 years of age, GMFM scores between 25.2% and 87.4% (evenly distributed between Gross Motor Function Classification System levels II and III), competed against each other in head-to-head races, totaling 28 unique race dyads. Dyads raced three times, each with a different method of minimizing the distance between participants (three balancing algorithms). This was a prospective repeated measures intervention trial with randomized and blinded algorithm assignment. The GMFM Ability-Based algorithm was developed using a least squares linear regression between the players' GMFM score and cycling cadence. Our primary outcome was dyad spread or average distance between players. The GMFM Ability-based algorithm was compared with a control algorithm (No-Balancing), and an idealized algorithm (one-speed-for-all [OSFA]). After each race, participants were asked "Was that game fun?" and "Was that game fair?" using a five-point Likert scale. RESULTS: Participants pedaled quickly enough to elevate their heart rate to an average of 120 ± 8 beats per minute while playing. Dyad spread was lower when using GMFM Ability-Based balancing (4.6 ± 4.2) compared with No-Balancing (11.9 ± 6.8) (P < 0.001). When using OSFA balancing, dyad spread was (1.6 ± 0.9), lower than both GMFM Ability-Based (P = 0.006) and No-Balancing (P < 0.001). Cycling cadence positively correlated to GMFM, equal to 0.58 (GMFM) +33.29 (R2adj= 0.662, P = 0.004). Participants rated the games a median score 4/5 for both questions: "was that game fun?" and "was that game fair?." CONCLUSION: The GMFM Ability-Based balancing decreased dyad spread while requiring participants to pedal quickly, facilitating interaction and physical activity.

Balancing for Gross Motor Ability in Exergaming Between Youth with Cerebral Palsy at Gross Motor Function Classification System Levels II and III.

OBJECTIVE: To test how three custom-built balancing algorithms minimize differences in game success, time above 40% heart rate reserve (HRR), and enjoyment between youth with cerebral palsy (CP) who have different gross motor function capabilities. Youth at Gross Motor Function Classification System (GMFCS) level II (unassisted walking) and level III (mobility aids needed for walking) competed in a cycling-based exercise video game that tested three balancing algorithms. MATERIALS AND METHODS: Three algorithms: a control (generic-balancing [GB]), a constant non-person specific (One-Speed-For-All [OSFA]), and a person-specific (Target-Cadence [TC]) algorithms were built. In this prospective repeated measures intervention trial with randomized and blinded algorithm assignment, 10 youth with CP aged 10-16 years (X ± standard deviation = 12.4 ± 1.8 years; GMFCS level II n = 4, III n = 6) played six exergaming sessions using each of the three algorithms. Outcomes included game success as measured by a normalized game score, time above 40% HRR, and enjoyment. RESULTS: The TC algorithm balanced game success between GMFCS levels similarly to GB (P = 0.11) and OSFA (P = 0.41). TC showed poorer balancing in time above 40% HRR compared to GB (P = 0.02) and OSFA (P = 0.02). Enjoyment ratings were high (6.4 ± 0.7/7) and consistent between all algorithms (TC vs. GB: P = 0.80 and TC vs. OSFA: P = 0.19). CONCLUSION: TC shows promise in balancing game success and enjoyment but improvements are needed to balance between GMFCS levels for cardiovascular exercise.

Systemic therapy for cutaneous T-cell lymphoma: who, when, what, and why?

INTRODUCTION: CTCL are rare neoplasms. Optimal care requires integrated use of diagnostic and treatment modalities spanning multiple specialties. Current instruments for patient risk stratification and disease measurement across all anatomical compartments are suboptimal. A common treatment dichotomy between early (Dermatology) and advanced stage (Hematology-Oncology) has hindered accrual of long term outcome data. Thus, important facts about natural history, such as frequency and determinants of stage progression, and the impact of specific treatment modalities on these endpoints, are not known. Areas covered: One of the most important decisions in the management of CTCL is when to start systemic therapy and what agents to use. This review provides background information to understand why systemic therapy is needed and what goals are currently achievable. Expert commentary: Risk-adapted approaches, based on better knowledge of host and tumor biology, and more accurate disease measurement tools are needed to optimize the use of specific systemic therapies.

Circulating Adipokines and Vascular Function: Cross-Sectional Associations in a Community-Based Cohort.

Adipokines may be potential mediators of the association between excess adiposity and vascular dysfunction. We assessed the cross-sectional associations of circulating adipokines with vascular stiffness in a community-based cohort of younger adults. We related circulating concentrations of leptin and leptin receptor, adiponectin, retinol-binding protein 4, and fatty acid-binding protein 4 to vascular stiffness measured by arterial tonometry in 3505 Framingham Third Generation cohort participants free of cardiovascular disease (mean age 40 years, 53% women). Separate regression models estimated the relations of each adipokine to mean arterial pressure and aortic stiffness, as carotid femoral pulse wave velocity, adjusting for age, sex, smoking, heart rate, height, antihypertensive treatment, total and high-density lipoprotein cholesterol, diabetes mellitus, alcohol consumption, estimated glomerular filtration rate, glucose, and C-reactive protein. Models evaluating aortic stiffness also were adjusted for mean arterial pressure. Mean arterial pressure was positively associated with blood retinol-binding protein 4, fatty acid-binding protein 4, and leptin concentrations (all P<0.001) and inversely with adiponectin (P=0.002). In fully adjusted models, mean arterial pressure was positively associated with retinol-binding protein 4 and leptin receptor levels (P<0.002 both). In fully adjusted models, aortic stiffness was positively associated with fatty acid-binding protein 4 concentrations (P=0.02), but inversely with leptin and leptin receptor levels (P≤0.03 both). In our large community-based sample, circulating concentrations of select adipokines were associated with vascular stiffness measures, consistent with the hypothesis that adipokines may influence vascular function and may contribute to the relation between obesity and hypertension.