Geriatr Psychol Neuropsychiatr Vieil
September 2024
Background/objectives: Despite the effectiveness of exercise and nutritional interventions to improve aerobic capacity and quality of life in lung transplant (LT) recipients, their compliance is low. Strategies to reduce the high attrition rate (participants lost over time) is a major challenge. Artificial neural networks (ANN) may assist in the early identification of patients with high risk of attrition.
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January 2025
Resistance exercise and protein supplementation are recognized as effective treatment strategies for age-related sarcopenia; however, there are limited data on their feasibility, tolerability, and safety. The primary outcome of this study was feasibility, evaluated through the 15-item TELOS (Technological, Economics, Legal, Operational, and Scheduling) feasibility components and by recruitment, retention, and consent rates. Tolerability was measured by examining permanent treatment discontinuation, treatment interruption, exercise dose modification, early termination, rescheduling of missed sessions, losses to follow-up, attendance, and nutritional compliance.
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