Quantitative computed tomography measures of emphysema and airway wall thickness are related to respiratory symptoms

TY - JOUR

T1 - Quantitative computed tomography measures of emphysema and airway wall thickness are related to respiratory symptoms

AU - Grydeland, Thomas B

AU - Dirksen, Asger

AU - Coxson, Harvey O

AU - Eagan, Tomas M L

AU - Thorsen, Einar

AU - Pillai, Sreekumar G

AU - Sharma, Sanjay

AU - Eide, Geir Egil

AU - Gulsvik, Amund

AU - Bakke, Per S

PY - 2010/2/15

Y1 - 2010/2/15

N2 - Rationale: There is limited knowledge about the relationship between respiratory symptoms and quantitative high-resolution computed tomography measures of emphysema and airway wall thickness. Objectives: To describe the ability of these measures of emphysema andairway wall thickness to predict respiratorysymptomsin subjects with and without chronic obstructive pulmonary disease (COPD). Methods:We included 463 subjects with chronic obstructive pulmonary disease (COPD) (65% men) and 488 subjects without COPD (53% men). All subjects were current or ex-smokers older than 40 years. They underwent spirometry and high-resolution computed tomography examination, and completed an American Thoracic Society questionnaire on respiratory symptoms. Measurements and Main Results: Median (25th percentile, 75th percentile) percent low-attenuation areas less than-950 Hounsfield units (%LAA) was 7.0 (2.2, 17.8) in subjects with COPD and 0.5 (0.2, 1.3) in subjects without COPD. Mean (SD) standardized airway wall thickness (AWT) at an internal perimeter of 10mm (AWT-Pi10) was 4.94 (0.33) mm in subjects with COPD and 4.77 (0.29) in subjects without COPD. Both %LAA and AWT-Pi10 were independently and significantly related to the level of dyspnea among subjects with COPD, even after adjustments for percent predicted FEV1. AWT-Pi10 was significantly related to cough and wheezing in subjects with COPD, and to wheezing in subjects without COPD. Odds ratios (95% confidence intervals) for increased dyspnea in subjects with COPD and in subjects without COPD were 1.9 (1.5-2.3) and 1.9 (0.6-6.6) per10%increase in%LAA,and1.07 (1.01-1.14)and1.11 (0.99-1.24) per 0.1-mm increase in AWT-Pi10, respectively. Conclusions: Quantitative computed tomography assessment of the lung parenchyma and airways may be used to explain the presence of respiratory symptoms beyond the information offered by spirometry.

AB - Rationale: There is limited knowledge about the relationship between respiratory symptoms and quantitative high-resolution computed tomography measures of emphysema and airway wall thickness. Objectives: To describe the ability of these measures of emphysema andairway wall thickness to predict respiratorysymptomsin subjects with and without chronic obstructive pulmonary disease (COPD). Methods:We included 463 subjects with chronic obstructive pulmonary disease (COPD) (65% men) and 488 subjects without COPD (53% men). All subjects were current or ex-smokers older than 40 years. They underwent spirometry and high-resolution computed tomography examination, and completed an American Thoracic Society questionnaire on respiratory symptoms. Measurements and Main Results: Median (25th percentile, 75th percentile) percent low-attenuation areas less than-950 Hounsfield units (%LAA) was 7.0 (2.2, 17.8) in subjects with COPD and 0.5 (0.2, 1.3) in subjects without COPD. Mean (SD) standardized airway wall thickness (AWT) at an internal perimeter of 10mm (AWT-Pi10) was 4.94 (0.33) mm in subjects with COPD and 4.77 (0.29) in subjects without COPD. Both %LAA and AWT-Pi10 were independently and significantly related to the level of dyspnea among subjects with COPD, even after adjustments for percent predicted FEV1. AWT-Pi10 was significantly related to cough and wheezing in subjects with COPD, and to wheezing in subjects without COPD. Odds ratios (95% confidence intervals) for increased dyspnea in subjects with COPD and in subjects without COPD were 1.9 (1.5-2.3) and 1.9 (0.6-6.6) per10%increase in%LAA,and1.07 (1.01-1.14)and1.11 (0.99-1.24) per 0.1-mm increase in AWT-Pi10, respectively. Conclusions: Quantitative computed tomography assessment of the lung parenchyma and airways may be used to explain the presence of respiratory symptoms beyond the information offered by spirometry.

U2 - 10.1164/rccm.200907-1008oc

DO - 10.1164/rccm.200907-1008oc

M3 - Journal article

SN - 1073-449X

VL - 181

SP - 353

EP - 359

JO - American Journal of Respiratory and Critical Care Medicine

JF - American Journal of Respiratory and Critical Care Medicine

IS - 4

ER -