Objective: To look for a relationship between physical fatigue and physical parameters in patients at least 3 months post stroke. Methods: We conducted a prospective cross-sectional study of 32 poststroke patients (average duration of stroke 40 months) who were recruited among in- and outpatients followed by the Department of Physical and Rehabilitation Medicine of a university hospital. Fatigue was defined as a Fatigue Severity Scale (FSS) score of 4 or more. The parameters studied were age, sex, time since stroke, Demeurisse Motor Index, Barthel Index score, new Functional Ambulation Category, Berg Balance Scale, 10-meter walk test, 6-minute walk test, Dijon Physical Activity Score, Montgomery and Asberg Depression Rating Scale, Epworth Sleepiness Scale, presence of pain, and length and area of the center of pressure displacement obtained posturographically. Results: Two-thirds of patients (65.6%) were fatigued. The mean FSS score was 4.3 ± 1.8. Fatigue was not associated with the physical parameters studied; notably, there was no correlation with motor impairment, autonomy and walking capacity, or balance and physical activity. However, after multivariate analysis, we found an association between physical fatigue and time since the occurrence of stroke (P = .05). Conclusions: Our study revealed a relationship between pain and physical fatigue, as reported by 2 other studies. Poststroke fatigue management should include appropriate pain management. Further studies are necessary to determine the causes of physical fatigue after stroke.

Purpose: The purpose of this study was to determine the effect of an aerobic training program on the left ventricular (LV) cardiac morphology and function of prepubertal children. Methods: Twenty-nine 10 - 11 year old boys and girls (TG) participated in a 13-week running program (3 × 1 h/week, intensity: > 80 % HR_max), 26, of the same age, served as a control group (CG). M-mode, 2-dimensional and pulsed-wave Doppler analyses were performed, during resting conditions, before and after the training period (T) as well as, for TG only, after 2 months of detraining (D). Results: LV internal chamber dimension increased (+ 4.6 %, p < 0.01) while wall thicknesses concomitantly decreased (- 10.7 %, p < 0.05) as a result of T. All cardiac morphological parameters returned to pretraining values after D. Doppler-derived measurements of LV diastolic filling performance were also significantly altered by T and D. A significant enhancement in the early diastolic passive LV filling with a concomitant reduction in the late diastolic active LV filling were in fact obtained after T. The training-induced bradycardia (- 7 beats · min^-1, p < 0.01) was probably responsible for the changes in the late characteristics of the diastolic active filling. All diastolic filling indexes returned to pretraining values after D. Systolic function indexes were not modified after either T or D. No changes were obtained for the overall LV morphological and functional variables after 13 weeks of normal life for CG. Conclusion: These findings indicate that cardiac morphological adaptations can occur in prepubertal children after several months of aerobic training. These alterations differ however, in some areas, to those classically reported in adults following endurance training programs where both an increase in LV size and mass exist. Our data likewise demonstrate that endurance training is able to induce favourable LV diastolic filling modifications, directed principally towards an enhancement in the early rapid filling inflow and a corresponding reduction in the atrial contribution to the total diastolic inflow.

In the subacute stroke phase, the monitoring of ambulatory activity and activities of daily life with wearable sensors may have relevant clinical applications. Do current commercially available wearable activity trackers allow us to objectively assess the energy expenditure of these activities? The objective of the present study was to compare the energy expenditure evaluated by indirect calorimetry during the course of a scenario consisting of everyday activities while estimating the energy expenditure using several commercialised wearable sensors in post-stroke patients (less than six months since stroke). Twenty-four patients (age 68.2 ± 13.9; post-stroke delay 34 ± 25 days) voluntarily participated in this study. Each patient underwent a scenario of various everyday tasks (transfer, walking, etc.). During the implementation, patients wore 14 wearable sensors (Armband, Actigraph GT3X, Actical, pedometer) to obtain an estimate of the energy expenditure. The actual energy expenditure was concurrently determined by indirect calorimetry. Except for the Armband worn on the non-plegic side, the results of our study show a significant difference between the energy expenditure values estimated by the various sensors and the actual energy expenditure when the scenario is considered as a whole. The present results suggest that, for a series of everyday tasks, the wearable sensors underestimate the actual energy expenditure values in post-stroke patients in the subacute phase and are therefore not accurate. Several factors are likely to confound the results: types of activity, prediction equations, the position of the sensor and the hemiplegia side.