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Usage Information

Relationship between Frequency Dependence of Lung Compliance and Distribution of Ventilation
Adam Wanner, Stephen Zarzecki, Neal Atkins, Angel Zapata, Marvin A. Sackner
Adam Wanner, Stephen Zarzecki, Neal Atkins, Angel Zapata, Marvin A. Sackner
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Research Article

Relationship between Frequency Dependence of Lung Compliance and Distribution of Ventilation

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Abstract

The previously demonstrated empirical association between frequency dependence of lung compliance and distribution of ventilation, the latter determined by the N2 washout technique, was confirmed by establishing a mathematical link between the two tests. By assuming a two-compartment system with known compliances and making corrections for Pendelluft and common dead space mixing effects, the ratio of dynamic to static compliance (Cdyn/Cst) for any respiratory frequency can be calculated from the compartmental analysis of the N2 washout at a single respiratory frequency. By using these equations, a good correlation was found between calculated and measured Cdyn/Cst in dogs with artificially induced bronchial obstruction and in young smokers or young nonsmokers after carbachol inhalation. A two-compartment N2 washout was demonstrated in 10 young healthy smokers at one or two respiratory frequencies whereas all 10 normal controls showed a single exponential curve. These findings indicate that the non-invasive N2 washout test is capable of predicting Cdyn/Cst and at the same time gives a direct measure of gas distribution. Further, it appears to be a highly sensitive method for the detection of “small airway disease.”

Authors

Adam Wanner, Stephen Zarzecki, Neal Atkins, Angel Zapata, Marvin A. Sackner

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Usage data is cumulative from January 2025 through January 2026.

Usage JCI PMC
Text version 322 14
PDF 148 6
Scanned page 532 0
Citation downloads 85 0
Totals 1,087 20
Total Views 1,107
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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