Pulmonary Disease, Chronic Obstructive Clinical Trial
Official title:
Physical Capacity of Patients With Chronic Obstructive Pulmonary Disease in Pulmonary Rehabilitation With and Without Supplementation of Whey
Chronic obstructive pulmonary disease is characterized by obstruction to pulmonary airflow and dyspnea. These characteristics are a consequence of exposure to harmful gases and particles that lead to oxidative stress in the lungs together with an exaggerated inflammatory response. In addition to respiratory impairment, chronic obstructive pulmonary disease has systemic manifestations, nutritional alterations, and exercise limitation. Pulmonary rehabilitation is one of the most effective interventions in the treatment of chronic obstructive pulmonary disease, with one goal being to improve patient capacity. Whey protein supplementation, concomitant with physical activity for patients with chronic obstructive pulmonary disease, aims to stimulate protein synthesis and decrease muscle catabolism that may be caused by exercise. The investigators aimed to evaluate the effects of whey protein supplementation supplementation on the physical capacity, body composition and tissue functionality of patients with chronic obstructive pulmonary disease in a pulmonary rehabilitation program.
A randomized clinical study will be carried out with 62 patients (31 patients per group) with chronic obstructive pulmonary disease who came from specialized departments of the Pulmonology Service of the Hospital de Clínicas of Porto Alegre and were referred to the pulmonary rehabilitation program of this institution. Patients will be evaluated in relation to anthropometry, body composition, blood biochemistry, phase angle, dietary intake, physical capacity, muscle strength and lung function. The data will be processed in the statistical program SPSS version 17.0 and for statistical analysis they will be tested for their normality by the Kolmogorov-Smirnoff test and after this definition will be applied specific tests for parametric or non-parametric data, being they presented in the form of mean and standard deviation or median, minimum and maximum, according to their distribution. The differences will be considered significant for values of p <0.05. ;
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