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The Mechanics of Airway Narrowing in Asthma

James, Alan L., Paré, Peter D., Hogg, James C.·1989·American Review of Respiratory Disease

Abstract

This study was designed to determine the potential importance of airway wall thickening in the pathogenesis of the excess airways narrowing of asthma. The airways in postmortem specimens of lung obtained from 18 patients who suffered from asthma were compared to similar airways from 23 patients without asthma. Each airway was projected onto a digitizing board of a microcomputer to trace the internal and external perimeter of the airway and to calculate the submucosal and mucosal thicknesses. The relaxed length of the airway smooth muscle and the shortening required to occlude the airway lumen were calculated. These data show that the wall area was greater (p less than 0.001) in the membranous and cartilaginous airways of asthmatic patients and the airway smooth muscle shortening required to occlude the lumen was less in asthmatic than nonasthmatic airways (p less than 0.001). The increased wall area was due to increased areas of epithelium, muscle, and submucosa. We conclude that the walls of the airways of patients with asthma are thickened by chronic inflammation and that this thickening could be as important as smooth muscle shortening in determining the airway responsiveness of these patients.

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Metadata

Authors
James, A. L., Paré, P. D., & Hogg, J. C.
Venue
American Review of Respiratory Disease
Published
1989-01
Volume
139
Issue
1
Pages
242-246
ISSN
0003-0805 (ISSN-L)
OpenAlex
W2042027156
Cited by
789
References
0
FWCI
14.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Mechanics of Airway Narrowing in Asthma. https://app.cochat.ai/papers/10.1164/ajrccm/139.1.242
The paper
James, A. L., Paré, P. D., & Hogg, J. C. (1989). The Mechanics of Airway Narrowing in Asthma. American Review of Respiratory Disease. https://doi.org/10.1164/ajrccm/139.1.242

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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.