Effects of Pilates in Patients With Post- -COVID-19 Syndrome: Controlled and Randomized Clinical Trial

The COVID-19 is closely related to severe acute respiratory syndrome (SARS) with direct and indirect effects on several systems, especially the musculoskeletal system, in addition to the respiratory system. Some of these symptoms persist for a long time, called Post-COVID-19 Syndrome, directly interfering with the functional capacity and quality of life of these patients. Pilates exercises focus on breathing, postural symmetry, trunk stabilization, flexibility, joint mobility and strengthening through the full range of motion of all joints and not isolated muscle groups. The objective of this study will be to evaluate the clinical and functional effects of a Pilates for patients post hospitalization for COVID-19. A randomized and controlled clinical trial will be conducted, with recruitment patients who have developed the severe form of COVID-19 and required at least 7 days of invasive mechanical ventilation. They will be previously randomized in a 1:1 ratio by electronic system and blindly allocated to the intervention group that will perform an exercise protocol based on the Pilates method, 2x/week, for 12 weeks in therapeutic sessions of identical protocols lasting 60 min. All patients will be evaluated before and after for six minutes walk distance test, peripheral and respiratory muscle strength and endurance, post-COVID-19 functional status, dyspnea, and quality of life. The analysis will be based on intention-to-treat principles. Descriptive statistics will be used to present the characteristics of participants in the two treatment groups. P values less than 0.05 will be considered to indicate statistical evidence of significance. The variables of dyspnea, peripheral and respiratory muscle strength, functional capacity, post-COVID functional status and HRQoL will be analyzed using linear models of repeated measures which included all values measured after randomization with baseline scores and treatment clusters as covariates. Adjusted mean differences will b