Genre
Journal articleDate
2009-03-05Author
Kim, Woo JinSilverman, Edwin K.
Hoffman, Eric
Criner, Gerard J.
Mosenifar, Zab
Sciurba, Frank C.
Make, Barry J.
Carey, Vincent
Estépar, Raúl San José
Diaz, Alejandro
Reilly, John J.
Martinez, Fernando J.
Washko, George R.
Group
NETT Research GroupDepartment
Pulmonary and Critical Care MedicinePermanent link to this record
http://hdl.handle.net/20.500.12613/6401
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https://doi.org/10.1378/chest.08-2858Abstract
Background: CT scan measures of emphysema and airway disease have been correlated with lung function in cohorts of subjects with a range of COPD severity. The contribution of CT scan-assessed airway disease to objective measures of lung function and respiratory symptoms such as dyspnea in severe emphysema is less clear. Methods: Using data from 338 subjects in the National Emphysema Treatment Trial (NETT) Genetics Ancillary Study, densitometric measures of emphysema using a threshold of −950 Hounsfield units (%LAA-950) and airway wall phenotypes of the wall thickness (WT) and the square root of wall area (SRWA) of a 10-mm luminal perimeter airway were calculated for each subject. Linear regression analysis was performed for outcome variables FEV1 and percent predicted value of FEV1 with CT scan measures of emphysema and airway disease. Results: In univariate analysis, there were significant negative correlations between %LAA-950 and both the WT (r = −0.28, p = 0.0001) and SRWA (r = −0.19, p = 0.0008). Airway wall thickness was weakly but significantly correlated with postbronchodilator FEV1% predicted (R = −0.12, p = 0.02). Multivariate analysis showed significant associations between either WT or SRWA (β = −5.2, p = 0.009; β = −2.6, p = 0.008, respectively) and %LAA-950 (β = −10.6, p = 0.03) with the postbronchodilator FEV1% predicted. Male subjects exhibited significantly thicker airway wall phenotypes (p = 0.007 for WT and p = 0.0006 for SRWA). Conclusions: Airway disease and emphysema detected by CT scanning are inversely related in patients with severe COPD. Airway wall phenotypes were influenced by gender and associated with lung function in subjects with severe emphysema.Citation
Kim WJ, Silverman EK, Hoffman E, et al. for the NETT Research Group. CT Metrics of Airway Disease and Emphysema in Severe COPD. Chest. 2009; 136(2):396-404. doi:10.1378/chest.08-2858.Citation to related work
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Chest, Vol. 136, Iss. 2, August 2009ADA compliance
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http://dx.doi.org/10.34944/dspace/6383