Purpose:To test the hypothesis-given the increasing emphasis on quantitative computed tomographic (CT) phenotypes of chronic obstructive pulmonary disease (COPD)-that a relationship exists between COPD exacerbation frequency and quantitative CT measures of emphysema and airway disease. Materials and Methods:This research protocol was approved by the institutional review board of each participating institution, and all participants provided written informed consent. One thousand two subjects who were enrolled in the COPDGene Study and met the GOLD (Global Initiative for Chronic Obstructive Lung Disease) criteria for COPD with quantitative CT analysis were included. Total lung emphysema percentage was measured by using the attenuation mask technique with a 2 950-HU threshold. An automated program measured the mean wall thickness and mean wall area percentage in six segmental bronchi. The frequency of COPD exacerbation in the prior year was determined by using a questionnaire. Statistical analysis was performed to examine the relationship of exacerbation frequency with lung function and quantitative CT measurements. Results:In a multivariate analysis adjusted for lung function, bronchial wall thickness and total lung emphysema percentage were associated with COPD exacerbation frequency. Each 1-mm increase in bronchial wall thickness was associated with a 1.84-fold increase in annual exacerbation rate ( P = .004 ). For patients with 35% or greater total emphysema, each 5% increase in emphysema was associated with a 1.18-fold increase in this rate ( P = .047 ). Conclusion:Greater lung emphysema and airway wall thickness were associated with COPD exacerbations, independent of the severity of airfl ow obstruction. Quantitative CT can help identify subgroups of patients with COPD who experience exacerbations for targeted research and therapy development for individual phenotypes.
Clinical data may be used to predict a diagnosis of IPF over other IIPs. Validation of these data with a prospective study is needed.
Lung CD8+ T cells might contribute to progression of chronic obstructive pulmonary disease (COPD) indirectly via IFN-γ production or directly via cytolysis but evidence for either mechanism is largely circumstantial. To gain insights into these potential mechanisms, we analyzed clinically-indicated lung resections from three human cohorts, correlating findings with spirometrically-defined disease severity. Expression by lung CD8+ T cells of IL-18R and CD69 correlated with severity, as did mRNA transcripts for perforin and granzyme B, but not Fas ligand. These correlations persisted after correction for age, smoking history, presence of lung cancer, recent respiratory infection, or inhaled corticosteroid use. Analysis of transcripts for KLRG1, IL-7 receptor and CD57 implied that lung CD8+ T cells in COPD do not belong to the terminally-differentiated effector populations associated with chronic infections or extreme age. In vitro stimulation of lung CD8+ T cells with IL-18 plus IL-12 markedly increased production of IFN-γ and TNF-α, whereas IL-15 stimulation induced increased intracellular perforin expression. Both IL-15 and IL-18 protein expression could be measured in whole lung tissue homogenates, but neither correlated in concentration with spirometric severity. Although lung CD8+ T cell expression of mRNA for both T-bet and GATA-3 (but not ROR-γ or ROR–α) increased with spirometric severity, stimulation of lung CD8+ T cells via CD3ε induced secretion of IFN-γ, TNF-α and GM-CSF, but not IL-5, IL-13, IL-17A. These findings suggest that the production of pro-inflammatory cytokines and cytotoxic molecules by lung resident CD8+ T cells contributes to COPD pathogenesis.
Background The value of quantitative computed tomography (QCT) to identify chronic obstructive pulmonary disease (COPD) phenotypes is increasingly appreciated. We hypothesized that QCT-defined emphysema and airway abnormalities relate to St. George's Respiratory Questionnaire (SGRQ) and BODE. Methods 1,200 COPDGene subjects meeting GOLD criteria for COPD with QCT analysis were included. Total lung emphysema was measured using density mask technique with a -950 HU threshold. An automated program measured mean wall thickness (WT), wall area percent (WA%) and pi10 in six segmental bronchi. Separate multivariate analyses examined the relative influence of airway measures and emphysema on SGRQ and BODE. Results In separate models predicting SGRQ score, a one unit standard deviation (SD) increase in each airway measure predicted higher SGRQ scores (for WT, 1.90 points higher, p=0.002; for WA%, 1.52 points higher, p=0.02; for pi10, 2.83 points higher p<0.001). The comparable increase in SGRQ for a one unit SD increase in percent emphysema in these models was relatively weaker, significant only in the pi10 model (for percent emphysema, 1.45 points higher, p=0.01). In separate models predicting BODE, a one unit SD increase in each airway measure predicted higher BODE scores (for WT, 1.07 fold increase, p<0.001; for WA%, 1.20 fold increase, p<0.001; for pi10, 1.16 fold increase, p<0.001). In these models, emphysema more strongly influenced BODE (range 1.24-1.26 fold increase, p<0.001). Conclusion Emphysema and airway disease both relate to clinically important parameters. The relative influence of airway disease is greater for SGRQ; the relative influence of emphysema is greater for BODE.
COPD is a heterogeneous disorder with clinical assessment becoming increasingly multidimensional. We hypothesized HRCT phenotype would strongly influence clinical outcomes including health status, exacerbation frequency, and BODE. COPD subjects were characterized via the SF-12, SGRQ, MMRC, physiologic testing, and standardized volumetric chest HRCT. Visual semi-quantitative estimation of bronchial wall thickness (VBT) and automated quantification of emphysema percent and bronchial wall thickness were generated. Multivariate modeling compared emphysema severity and airway abnormality with clinical outcome measures. Poisson models were used to analyze exacerbation frequency. SGRQ and SF-12 physical component scores were influenced by FEV(1)% predicted, emphysema percent, and VBT. VBT scores > 2 (scale 0-48) were associated with increased exacerbation frequency (p = 0.009) in the preceding year adjusting for age, gender, emphysema percent, smoking history and FEV(1)% predicted, although this effect was attenuated by age. Emphysema percent correlated with total BODE score in unadjusted (r = 0.73; p < 0.0001) and adjusted (p < 0.0001) analyses and with BODE individual components. HRCT provides unique COPD phenotyping information. Radiographic quantification of emphysema and bronchial thickness are independently associated with SGRQ and physical component score of the SF-12. Bronchial thickness but not emphysema is associated with exacerbation frequency, whereas emphysema is a stronger predictor of BODE and its systemic components MMRC, 6MWT, and BMI. Future research should clarify whether CT parameters complement BODE score in influencing survival.
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