Introduction: The chronic obstructive pulmonary disease (COPD) has systemic repercussions that negatively influence disease progression and increase mortality in these individuals. The physical activity level (PAL) and peripheral muscle strength have been widely shown to be cause of morbidity and mortality in patients with COPD, however phenotypes previously described in the literature include these factors as a determinant of phenotypes. Objectives: To identify individuals with COPD phenotypes in considering the level of physical activity in daily life, body composition and skeletal muscle dysfunction. Methods: This study will evaluate 300 patients with moderate to severe COPD and evaluations will be conducted on 2 separate days, and on day 1st there will be an initial assessment including lung function (spirometry), the clinical management of COPD (CCQ), the factors health-related quality of life (CRQ) and symptoms of dyspnea (MRC). At the end of the 1st day of evaluation, the patient will receive an accelerometer (Actigraph) for assessment of physical activity level (PAL) in daily life. After 8 days, patients return to the hospital to return the accelerometer and will assess the strength of skeletal muscles (isometric maximum) and body composition (bioimpedance) (2nd day of evaluation). After 3, 6, 9 and 12 months of these ratings, subjects will be assessed for the presence of exacerbations and hospitalizations. Statistical analysis: There will be a single cluster analysis in order to identify phenotypes in COPD. For continuous variables (age, isometric strength, and physical activity level) will select those to be included in the cluster analysis, the aim of excluding the investigated variables that show a correlation with other in order to select only the main variables. For categorical variables (FEV1, MRC, CCQ and body composition) will be subjected to a multiple correspondence analysis to transform them into mathematical independent axes. Following this procedure will be allowed to use a single cluster analysis (Ward analysis). The data are presented as median and interquartile range 10% -90% and the significance level will be set for all analysis will be 5% (p <0,05). The analyzes will be performed using SPSS version 17.0 (Chicago SPSS. Inc. III).
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