Inspiratory capacity-to-total lung capacity ratio and dyspnoea predict exercise capacity decline in COPD

Background and objective Exercise capacity decline is a predictor of mortality in patients with chronic obstructive pulmonary disease (COPD). Static pulmonary hyperinflation is a key determinant of exercise performance, but its effect on the longitudinal decline in exercise capacity remains unknown....

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Published in:Respirology (Carlton, Vic.) Vol. 21; no. 3; pp. 476 - 482
Main Authors: Ramon, Maria A., Ferrer, Jaume, Gimeno-Santos, Elena, Donaire-Gonzalez, David, Rodríguez, Esther, Balcells, Eva, de Batlle, Jordi, Benet, Marta, Guerra, Stefano, Sauleda, Jaume, Ferrer, Antoni, Farrero, Eva, Gea, Joaquim, Barberà, Joan A., Agustí, Alvar, Rodriguez-Roisin, Robert, Antó, Josep M., Garcia-Aymerich, Judith
Format: Journal Article
Language:English
Published: Australia Blackwell Publishing Ltd 01-04-2016
Wiley
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Summary:Background and objective Exercise capacity decline is a predictor of mortality in patients with chronic obstructive pulmonary disease (COPD). Static pulmonary hyperinflation is a key determinant of exercise performance, but its effect on the longitudinal decline in exercise capacity remains unknown. We aimed to study the relationship between the inspiratory capacity‐to‐total lung capacity (IC/TLC) ratio and exercise capacity decline in COPD. Methods We measured IC/TLC and other relevant clinical and functional variables in 342 clinically stable patients with COPD. The 6‐min walk distance (6MWD) was determined at recruitment and after a mean ± SD of 1.7 ± 0.3 years. The annual rate of change in 6MWD was calculated. Multiple imputation to account for losses during follow up was implemented, and multivariate regression was used to analyze predictive factors of 6MWD decline. Results Mean decline rate in the 6MWD was 21.9 ± 34.1 m/year. In the bivariate analysis, patients with lower levels of IC/TLC had greater 6MWD decline (−27.4 ± 42.5, −24.9 ± 36.5 and −13.4 ± 39.9 m/year in the first, second and third tertile of IC/TLC, respectively; P‐for‐trend = 0.018). From other potential risk factors considered, dyspnoea, health status, serum C‐reactive protein and Borg dyspnoea score at the end of the exercise test were related to exercise capacity decline. In the multivariate regression model, only IC/TLC (β = 0.7 m/year per each percentage unit of IC/TLC; P = 0.007) and dyspnoea (mMRC ≥ 2) (β = −14.6 m/year; P = 0.013) were associated with the annual rate of 6MWD change. Conclusion IC/TLC and dyspnoea in clinically stable patients with COPD predict their exercise capacity decline and may help to guide early therapeutic interventions. In clinically stable patients with COPD, IC/TLC and dyspnoea, but not forced spirometric parameters, predict exercise capacity decline. This may help to screen candidates for early therapeutic interventions, including pulmonary rehabilitation.
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Appendix S1 Methods. Figure S1 Relationship between relevant socio-demographic, life-style and clinical data and the annual change in 6-min walk distance (6MWD) in 342 patients with COPD. Figure S2 Relationship between anxiety and depressive symptoms, lung function parameters, blood gases, muscle force, cardiac function and the annual change in 6-min walk distance (6MWD) in 342 patients with COPD. Figure S3 Relationship between relevant inflammatory markers, bronchial colonization and respiratory treatments at baseline and the annual change in 6-min walk distance (6MWD) in 342 patients with COPD. Figure S4 Relationship between airflow limitation (FEV1) and the annual change in 6-min walk distance (6MWD) in 342 patients with COPD, using complete case and multiple imputations strategies. Table S1 Adjusted predictive factors of exercise capacity decline in 342 patients with COPD followed up for 1.7 years (linear regression model) using RV/TLC as a marker of air trapping. Table S2 Adjusted predictive factors of exercise capacity decline in 342 patients with COPD followed during 1.7 years (linear regression model) according to baseline BMI. Table S3 Adjusted predictive factors of exercise capacity decline in 342 patients with COPD followed during 1.7 years (linear regression model) using complete cases and imputed datasets. Table S4 Adjusted predictive factors of exercise capacity decline expressed in absolute values and as percentage with respect to baseline level in 342 patients with COPD followed during 1.7 years (linear regression model). Table S5 Adjusted predictive factors of exercise capacity decline in 342 patients with COPD followed during 1.7 years (linear regression model), excluding patients enrolled in pulmonary rehabilitation programmes. Table S6 Adjusted predictive factors of exercise capacity decline in 342 patients with COPD followed during 1.7 years (linear regression model), forcing variables previously related to 6MWD to decline.
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ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1323-7799
1440-1843
DOI:10.1111/resp.12723