Sample Entropy Improves Assessment of Postural Control in Early-Stage Multiple Sclerosis.

Postural impairment in people with multiple sclerosis (pwMS) is an early indicator of disease progression. Common measures of disease assessment are not sensitive to early-stage MS. Sample entropy (SE) may better identify early impairments. We compared the sensitivity and specificity of SE with linear measurements, differentiating pwMS (EDSS 0-4) from healthy controls (HC). 58 pwMS (EDSS ≤ 4) and 23 HC performed quiet standing tasks, combining a hard or foam surface with eyes open or eyes closed as a condition. Sway was recorded at the sternum and lumbar spine. Linear measures, mediolateral acceleration range with eyes open, mediolateral jerk with eyes closed, and SE in the anteroposterior and mediolateral directions were calculated. A multivariate ANOVA and AUC-ROC were used to determine between-groups differences and discriminative ability, respectively. Mild MS (EDSS ≤ 2.0) discriminability was secondarily assessed. Significantly lower SE was observed under most conditions in pwMS compared to HC, except for lumbar and sternum SE when on a hard surface with eyes closed and in the anteroposterior direction, which also offered the strongest discriminability (AUC = 0.747), even for mild MS. Overall, between-groups differences were task-dependent, and SE (anteroposterior, hard surface, eyes closed) was the best pwMS classifier. SE may prove a useful tool to detect subtle MS progression and intervention effectiveness.

Cost-Effectiveness of the ENJOY Seniors Exercise Park for Older People: A Pre-Post Intervention Study.

BACKGROUND: The Exercise interveNtion outdoor proJect in the cOmmunitY (ENJOY) Seniors Exercise Park program uses specialized outdoor equipment and a physical activity program to engage older people in physical activity, with multiple health benefits. We determined the cost-effectiveness of the ENJOY program. METHODS: The economic evaluation compared health care utilization costs 6 months prior to and 6 months post ENJOY program participation. Incremental cost-utility analysis for the primary aim (quality of life) and incremental cost-effectiveness analysis for the secondary aim (falls) were used. Analyses took a societal perspective inclusive of Australian government-funded health care and pharmaceuticals in addition to hospitalizations, community-based nursing and allied health, and community services. Productivity costs were also calculated. RESULTS: Fifty participants (average age 72.8 y [SD 7.4] and 78.0% [n = 39/50] women) were included. Participation in the ENJOY program reduced health care costs in the 6 months following the program: preintervention, $9764.49 (SD $26,033.35); postintervention, $5179.30 (SD $3826.64); observed postintervention reduction -$4.585.20 (95% confidence interval, -$12,113.99 to $2943.59; P = .227) without compromising quality of life (mean difference [MD] 0.011; 95% confidence interval, -0.034 to 0.056; P = .631) or increasing the likelihood of a fall (-0.5; 95% confidence interval, 0.00 to -0.50; P = .160). The ENJOY intervention is likely cost-effective. CONCLUSIONS: Planning for shared community spaces should consider the benefits of a Seniors Exercise Park as part of the built environment.

Comparison of estimated energy requirements using predictive equations with total energy expenditure measured by the doubly labelled water method in acute spinal cord injury.

STUDY DESIGN: Prospective, observational OBJECTIVES: To evaluate agreement between a reference method (doubly labelled water, DLW) of total energy expenditure (TEE) and published equations for estimating energy requirements in acute spinal cord injury (SCI). SETTING: Victoria, Australia METHODS: Twenty participants (18 male) within 8 weeks of traumatic SCI completed DLW, anthropometric and dietary intake assessments. Energy requirements were predicted using Harris-Benedict, Schofield, Henry, Nelson, Buchholz and Chun equations, multiplied by a combined activity and stress factor of 1.3, and the ratio method (kJ/kg body weight). Fat-free mass (FFM) and fat mass (FM) were calculated from TBW-derived DLW and from bioelectrical impedance spectroscopy (BIS). RESULTS: Median time since injury was 41 days. Median TEE was 9.1 MJ. Fair agreement was found between TEE and predicted energy requirements for the Chun (rc = 0.39), the Harris-Benedict equation (rc = 0.30), the ratio method (rc = 0.23) and the Buchholz (rc = 0.31) and Nelson equations (rc = 0.35), which incorporate measures of FFM and/or FM. Other equations showed weak concordance with DLW. When two hypermetabolic patients were removed, agreement between TEE and predicted energy requirements using the Buchholz equation increased to substantial (rc = 0.72) and using the Nelson (rc = 0.53) and Chun equations (rc = 0.53) increased to moderate. The Buchholz equation had the smallest limits of agreement (-2.4-2.3 MJ/d). CONCLUSION: The population-specific Buchholz equation that incorporates FFM, predicted from either BIS or DLW, demonstrated the best agreement in patients with acute SCI. SPONSORSHIP: The study was funded by grants from the Institute for Safety, Compensation and Recovery Research (ISCRR Project # NGE-E-13-078) and Austin Medical Research Foundation. M Panisset was supported by an Australian Postgraduate Award.