The vicious circle of dyspnoea–inactivity has been proposed, but never validated empirically, to explain the clinical course of chronic obstructive pulmonary disease (COPD). We aimed to develop and validate externally a comprehensive vicious circle model.We utilised two methods. 1) Identification and validation of all published vicious circle models by a systematic literature search and fitting structural equation models to longitudinal data from the Spanish PAC-COPD (Phenotype and Course of COPD) cohort (n=210, mean age 68 years, mean forced expiratory volume in 1 s (FEV₁) 54% predicted), testing both the hypothesised relationships between variables in the model (“paths”) and model fit. 2) Development of a new model and external validation using longitudinal data from the Swiss and Dutch ICE COLD ERIC (International Collaborative Effort on Chronic Obstructive Lung Disease: Exacerbation Risk Index Cohorts) cohort (n=226, mean age 66 years, mean FEV₁57% predicted).We identified nine vicious circle models for which structural equation models confirmed most hypothesised paths but showed inappropriate fit. In the new model, airflow limitation, hyperinflation, dyspnoea, physical activity, exercise capacity and COPD exacerbations remained related to other variables and model fit was appropriate. Fitting it to ICE COLD ERIC, all paths were replicated and model fit was appropriate.Previously published vicious circle models do not fully explain the vicious circle concept. We developed and externally validated a new comprehensive model that gives a more relevant role to exercise capacity and COPD exacerbations.

The present study aims to disentangle the independent effects of the quantity and the intensity of physical activity on the risk reduction of chronic obstructive pulmonary disease (COPD) hospitalisations.177 patients from the Phenotype Characterization and Course of COPD (PAC-COPD) cohort (mean±sdage 71±8 years, forced expiratory volume in 1 s 52±16% predicted) wore the SenseWear Pro 2 Armband accelerometer (BodyMedia, Pittsburgh, PA, USA) for eight consecutive days, providing data on quantity (steps per day, physically active days and daily active time) and intensity (average metabolic equivalent tasks) of physical activity. Information on COPD hospitalisations during follow-up (2.5±0.8 years) was obtained from validated centralised datasets.During follow-up 67 (38%) patients were hospitalised. There was an interaction between quantity and intensity of physical activity in their effects on COPD hospitalisation risk. After adjusting for potential confounders in the Cox regression model, the risk of COPD hospitalisation was reduced by 20% (hazard ratio (HR) 0.79, 95% CI 0.67–0.93; p=0.005) for every additional 1000 daily steps at low average intensity. A greater quantity of daily steps at high average intensity did not influence the risk of COPD hospitalisations (HR 1.01, p=0.919). Similar results were found for the other measures of quantity of physical activity.Greater quantity of low-intensity physical activity reduces the risk of COPD hospitalisation, but high-intensity physical activity does not produce any risk reduction.

Introduction: Chronic obstructive pulmonary disease (COPD) progression is variable and affects several disease domains, including decline in lung function, exercise capacity, muscle strength, and health status as well as changes in body composition. We aimed to assess the longitudinal association of physical activity (PA) with these a priori selected components of disease progression. Methods: We studied 114 COPD patients from the PAC-COPD cohort (94% male, mean [SD], 70 yr [8 yr] of age, 54 [16] forced expiratory volume in 1 s % predicted) at baseline and 2.6 yr (0.6 yr) later. Baseline PA was assessed by accelerometry. Multivariable general linear models were built to assess the association between PA and changes in lung function, functional exercise capacity, muscle strength, health status, and body composition. All models were adjusted for confounders and the respective baseline value of each measure. Results: Per each 1000 steps higher baseline PA, forced expiratory volume in 1 s declined 7 mL less (P < 0.01), forced vital capacity 9 mL less (P = 0.03) and carbon monoxide diffusing capacity 0.10 mL·min⁻¹·mm Hg⁻¹ less (P = 0.04), while the St George’s Respiratory Questionnaire symptom domain deteriorated 0.4 points less (P = 0.03), per year follow-up. Physical activity was not associated with changes in functional exercise capacity, muscle strength, other domains of health status or body composition. Conclusions: Higher PA is associated with attenuated decline in lung function and reduced health status (symptoms domain) deterioration in moderate-to-very severe COPD patients.

The high prevalence of obstructive sleep apnea in patients with resistant hypertension could be mediated by an activation of the renin-angiotensin-aldosterone system. This study assessed the impact of continuous positive airway pressure (CPAP) treatment on plasma aldosterone concentration (PAC). One hundred and twenty-four patients with resistant hypertension were assessed, and those who fulfilled inclusion criteria (n = 116) underwent full night polysomnography, 24-h ambulatory blood pressure monitoring, and PAC measurement. Patients with an apnea-hypopnea index above 15 (n = 102) were randomized to CPAP (n = 50) or to conventional treatment (n = 52) for 3 months. Seventy-eight patients completed the follow-up (36 CPAP, 42 conventional treatment); 58 had true resistant hypertension (74.3%), whereas 20 had white-coat resistant hypertension (25.6%). Most patients were men (70.7%), age 58.3 ± 9.4 years, and the mean apnea-hypopnea index was 50.1 ± 21.6. In patients with true resistant hypertension, CPAP achieved a significant decrease in most 24-h BP measurements and a nonsignificant decrease in PAC (25 ± 8.7 vs. 22.7 ± 9 ng/dl; P < 0.182). In patients with white-coat resistant hypertension, CPAP achieved a significant decrease in PAC (26.1 ± 11.2 vs. 18.9 ± 10.1 ng/dl; P < 0.041) and in night-time DBP. After adjustment, a weak but significant association was found between cumulative time spent with SaO2 below 90% (CT90%) and baseline PAC (P < 0.047, R 0.019), and between changes in PAC and changes in office DBP (P < 0.020, R 0.083) CONCLUSIONS:: Night-time hypoxemia and changes in DBP showed an association with baseline and changes in PAC, respectively. CPAP achieved a significant reduction in PAC only in patients with white-coat resistant hypertension, although the CPAP effect on BP was highest in patients with true resistant hypertension.