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Comparative Study
. 2019 Jan:146:36-41.
doi: 10.1016/j.rmed.2018.11.014. Epub 2018 Nov 20.

Airway wall thickening on CT: Relation to smoking status and severity of COPD

Affiliations
Comparative Study

Airway wall thickening on CT: Relation to smoking status and severity of COPD

Jean-Paul Charbonnier et al. Respir Med. 2019 Jan.

Abstract

Airway wall thickening in cigarette smokers is thought to be a result of inflammatory changes and airway remodeling. This study investigates if CT-derived airway wall thickening associates to disease severity in smokers with and without COPD and if airway wall thickening is reversible by smoking cessation. We examined 2000 smokers and 46 never-smokers who returned for a 5-year follow-up visit in the COPDGene-study. Multivariable regression analyses were performed at visit 1 to associate airway wall thickness (expressed as Pi10) with percent predicted forced expiratory volume in 1 s (FEV1%-predicted), 6-min walking distance (6MWD), and St. George Respiratory Questionnaire (SGRQ). Longitudinal analyses were performed to assess the effect of smoking cessation on Pi10 using linear mixed models. A higher Pi10 was significantly associated with worse FEV1%-predicted, 6MWD, and SGRQ in all GOLD-stages. Longitudinal analyses showed that subjects that quit smoking significantly decreased in Pi10 (ΔPi10 = -0.18 mm, p < 0.001). Subjects that started smoking had a significant increase in Pi10 (ΔPi10 = 0.14 mm, p < 0.001). Pi10 is a clinically relevant biomarker of smoking-related airway injury in smokers with and without COPD. The change in Pi10 with change in smoking status suggests that it can quantify a reversible component of smoking-related airway inflammation.

Keywords: Airway wall inflammation; Computed tomography; Quality of life; Smoking cessation.

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Figures

Figure 1.
Figure 1.
FEVl%-predicted, 6MWD, and SGRQ for subjects stratified by the lower and upper Pil0 quartile. Error bars indicate the standard deviation. Significance is indicated for differences between the Pil0 quartiles. *p<0.05. **p<0.001.
Figure 2.
Figure 2.
Estimated longitudinal change in Pil0 stratified by change in smoking status. Pil0 change is the estimated change in Pil0 that is adjusted for gender, age, BMI, pack years, TLC, BDR, smoking status, and LAA%−950 at both visits using a linear mixed model. Whiskers of each bar indicate the 95% confidence interval. *p<0.05. **p<0.001.

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