The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Why Does the Lung Hyperinflate?
Abstract
Patients with chronic obstructive pulmonary disease (COPD) often have some degree of hyperinflation of the lungs. Hyperinflated lungs can produce significant detrimental effects on breathing, as highlighted by improvements in patient symptoms after lung volume reduction surgery. Measures of lung volumes correlate better with impairment of patient functional capabilities than do measures of airflow. Understanding the mechanisms by which hyperinflation occurs in COPD provides better insight into how treatments can improve patients' health. Both static and dynamic processes can contribute to lung hyperinflation in COPD. Static hyperinflation is caused by a decrease in elasticity of the lung due to emphysema. The lungs exert less recoil pressure to counter the recoil pressure of the chest wall, resulting in an equilibrium of recoil forces at a higher resting volume than normal. Dynamic hyperinflation is more common and can occur independent of or in addition to static hyperinflation. It results from air being trapped within the lungs after each breath due to a disequilibrium between the volumes inhaled and exhaled. The ability to fully exhale depends on the degree of airflow limitation and the time available for exhalation. These can both vary, causing greater hyperinflation during exacerbations or increased respiratory demand, such as during exercise. Reversibility of dynamic hyperinflation offers the possibility for intervention. Use of bronchodilators with prolonged durations of action, such as tiotropium, can sustain significant reductions in lung inflation similar in effect to lung volume reduction surgery. How efficacy of bronchodilators is assessed may, therefore, need to be reevaluated.
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“An increase in FRC measured at rest has both static and dynamic determinants in COPD [17].”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [17]
In the citing paper
“a tachypneic breathing pattern and/or a high inspiratory-to-expiratory time ratio will shorten the time available for adequate lung emptying [17].”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [17]
In the citing paper
“Interestingly, resting FRC is also dynamically determined in the setting of EFL and varies with the breathing pattern.”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [17]
In the citing paper
“Dynamic increases in EELV are inevitable during exercise in patients with significant EFL in the setting of high ventilatory demand [17].”
From Lung hyperinflation in COPD: applying physiology to clinical practice (2015) · cites this paper as [17]
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Citations
Cites
Dynamic Hyperinflation and Exercise Intolerance in Chronic Obstructive Pulmonary Disease
O'DONNELL, D. E., REVILL, S. M., & WEBB, K. A. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.164.5.2012122 · Cited by 1,076
O'DONNELL, D. E., LAM, M., & WEBB, K. A. (1999) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.160.2.9901038 · Cited by 485
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Cited by
Pulmonary characteristics in COPD and mechanisms of increased work of breathing
Loring, S. H., Garcia-Jacques, M., & Malhotra, A. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00008.2009 · Cited by 246
Lung hyperinflation in COPD: applying physiology to clinical practice
O’Donnell, D. E., Webb, K. A., & Neder, J. A. (2015) · COPD Research and Practice · doi:10.1186/s40749-015-0008-8 · Cited by 93
Metadata
- Authors
- Ferguson, G. T.
- Venue
- Proceedings of the American Thoracic Society
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-04-01
- Volume
- 3
- Issue
- 2
- Pages
- 176-179
- ISSN
- 1546-3222
- 1943-5665
- Cited by
- 115
- References
- 2
- Language
- en
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.