The Mini-Balance Evaluation System Test Can Predict Falls in Clinically Stable Outpatients With COPD: A 12-MO PROSPECTIVE COHORT STUDY.

PURPOSE: This study evaluated the accuracy of the Mini-Balance Evaluation System Test (Mini-BESTest) for predicting falls in patients with chronic obstructive pulmonary disease (COPD) and investigated whether postural balance is a risk factor for falls. METHODS: Postural balance was evaluated by the Mini-BESTest at baseline, and the incidence of falls over a 12-mo period was prospectively measured by a self-reported falls diary and confirmed by telephone calls. A discriminative power analysis was performed using receiver operating characteristic (ROC) curve and logistic regression analysis. RESULTS: Sixty-seven outpatients with COPD (mean age ± SD = 67 ± 9.3 yr) were included. Twenty-five patients (37.3%) experienced ≥1 fall, and 28.2% of the falls resulted in injuries. The Mini-BESTest predicted falls in patients with COPD at the 6- and 12-mo follow-ups with a cut-off score of 22.5 (area under the curve = 0.85 and 0.87) with good sensitivity and specificity (85.7% and 66.7%; 84% and 73.8%, respectively). Higher scores on the Mini-BESTest were associated with a lower risk of falls at 12 mo (OR = 0.50; 95% CI, 0.36-0.70; P < .001). CONCLUSIONS: Postural balance assessed by the Mini-BESTest is a good predictor of falls in patients with COPD. Our results imply that impaired balance contributes to the risk of falling and that balance training and fall prevention programs may be required for this population.

Identification of Phenotypes in People with COPD: Influence of Physical Activity, Sedentary Behaviour, Body Composition and Skeletal Muscle Strength.

INTRODUCTION: People with chronic obstructive pulmonary disease (COPD) present high prevalence of physical inactivity that leads to a negative effect on health-related quality of life (HRQoL). The present study investigated COPD phenotypes according to their levels of physical activity and sedentary behaviour, as well as body composition and skeletal muscle strength. METHODS: This is an observational and cross-sectional study. Anthropometric data and COPD clinical control were collected and all participants underwent assessments of lung function, HRQoL, dyspnoea, levels of physical activity and sedentary behaviour, body composition and skeletal muscle strength. Participants were classified using hierarchical cluster analysis. Age, dyspnoea and obstruction (ADO) index was used to determine prognosis and calculated for each cluster. RESULTS: One hundred and fifty-two participants were included. Three distinct phenotypes were identified. Participants in phenotype 1 were more physically active, less sedentary and had better body composition and lower ADO index (p < 0.0001 for all variables). Overall, participants in phenotypes 2 and 3 were less physically active, more sedentary having a higher ADO index. However, participants in phenotype 2 were older, whereas participants in phenotype 3 had worse HRQoL, clinical control and body composition. Lung function did not differ across the three phenotypes. CONCLUSIONS: Our results show that physical activity, sedentary behaviour and body composition should be considered to determine phenotypes in people with COPD and are involved in the prognosis of the disease. Less sedentary patients have better prognosis while age, body composition and clinical control seems to differentiate physically inactive patients.