A mixed phenotype of airway wall thickening and emphysema is associated with dyspnea and hospitalization for chronic obstructive pulmonary disease.

RATIONALE Quantitative computed tomography (CT) has been used to phenotype patients with chronic obstructive pulmonary disease (COPD). A mixed phenotype is defined as the presence of both airway wall thickening and emphysema on quantitative CT. Little is known about patients with COPD with the mixed phenotype. OBJECTIVES To propose a method of phenotyping COPD based on quantitative CT and to compare clinically relevant outcomes between patients with COPD with the mixed phenotype and those with other CT-based phenotypes. METHODS Each of 427 male smokers (187 without COPD, 240 with COPD) underwent a complete medical interview, pulmonary function testing, and whole-lung CT on the same day. The percentage of low-attenuation volume at the threshold of -950 Hounsfield units (%LAV) and the square root of wall area of a hypothetical airway with an internal perimeter of 10 mm (Pi10) were measured. Patients with COPD were classified into four distinct phenotypes based on the upper limits of normal for %LAV and Pi10, which were derived from the data of smokers without COPD by using quantile regression. MEASUREMENTS AND MAIN RESULTS Of 240 patients with COPD, 52 (21.7%) were classified as CT-normal phenotype, 39 (16.3%) as airway-dominant phenotype, 103 (42.9%) as emphysema-dominant phenotype, and 46 (19.2%) as mixed phenotype. Patients with COPD with the mixed phenotype were associated with more severe dyspnea than those with each of the remaining CT-based phenotypes (P < 0.01 for all comparisons). The number of hospitalizations for COPD exacerbations during the preceding year was 2.0 to 3.6 times higher in patients with the mixed phenotype than in those with each of the remaining CT-based phenotypes (P < 0.05 for all comparisons). Findings persisted after adjustment for age, pack-years of smoking, smoking status, body mass index, and FEV1. CONCLUSIONS Patients with COPD with the mixed phenotype are associated with more severe dyspnea and more frequent hospitalizations than those with each of the remaining CT-based phenotypes. Thus, patients with COPD with the mixed phenotype may need more attention and interventions.

[1]  Eric A Hoffman,et al.  Variation in the percent of emphysema-like lung in a healthy, nonsmoking multiethnic sample. The MESA lung study. , 2014, Annals of the American Thoracic Society.

[2]  Benjamin M. Smith,et al.  Comparison of spatially matched airways reveals thinner airway walls in COPD. The Multi-Ethnic Study of Atherosclerosis (MESA) COPD Study and the Subpopulations and Intermediate Outcomes in COPD Study (SPIROMICS) , 2014, Thorax.

[3]  Y. Nakano,et al.  Airway Wall Area Derived from 3-Dimensional Computed Tomography Analysis Differs among Lung Lobes in Male Smokers , 2014, PloS one.

[4]  David A Lynch Progress in Imaging COPD, 2004 - 2014. , 2014, Chronic obstructive pulmonary diseases.

[5]  Joyce D. Schroeder,et al.  Computed tomographic measures of airway morphology in smokers and never-smoking normals. , 2014, Journal of applied physiology.

[6]  J. Bourbeau,et al.  Phenotyping of COPD: challenges and next steps. , 2014, The Lancet. Respiratory medicine.

[7]  Stephanie A. Santorico,et al.  Cluster analysis in the COPDGene study identifies subtypes of smokers with distinct patterns of airway disease and emphysema , 2014, Thorax.

[8]  Benjamin M. Smith,et al.  Genome-wide study of percent emphysema on computed tomography in the general population. The Multi-Ethnic Study of Atherosclerosis Lung/SNP Health Association Resource Study. , 2014, American journal of respiratory and critical care medicine.

[9]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[10]  Meilan K. Han,et al.  Clinical correlations of computed tomography imaging in chronic obstructive pulmonary disease. , 2013, Annals of the American Thoracic Society.

[11]  A. Agustí Phenotypes and disease characterization in chronic obstructive pulmonary disease. Toward the extinction of phenotypes? , 2013, Annals of the American Thoracic Society.

[12]  Benjamin M. Smith,et al.  Establishing Normal Reference Values in Quantitative Computed Tomography of Emphysema , 2013, Journal of thoracic imaging.

[13]  B. Nordestgaard,et al.  Inflammatory biomarkers and exacerbations in chronic obstructive pulmonary disease. , 2013, JAMA.

[14]  E. Antón,et al.  Prevalence and characteristics of three clinical phenotypes of chronic obstructive pulmonary disease (COPD). , 2013, Respiratory medicine.

[15]  Courtney Crim,et al.  The presence and progression of emphysema in COPD as determined by CT scanning and biomarker expression: a prospective analysis from the ECLIPSE study. , 2013, The Lancet. Respiratory medicine.

[16]  M. Pistolesi,et al.  Pulmonary function and sputum characteristics predict computed tomography phenotype and severity of COPD , 2012, European Respiratory Journal.

[17]  Thierry Troosters,et al.  Two Distinct Chronic Obstructive Pulmonary Disease (COPD) Phenotypes Are Associated with High Risk of Mortality , 2012, PloS one.

[18]  Joan B. Soriano,et al.  Treatment of COPD by clinical phenotypes: putting old evidence into clinical practice , 2012, European Respiratory Journal.

[19]  Y. Nakano,et al.  Recent findings in chronic obstructive pulmonary disease by using quantitative computed tomography. , 2012, Respiratory investigation.

[20]  Courtney Crim,et al.  Persistent Systemic Inflammation is Associated with Poor Clinical Outcomes in COPD: A Novel Phenotype , 2012, PloS one.

[21]  Susan Murray,et al.  Relationship between quantitative CT metrics and health status and BODE in chronic obstructive pulmonary disease , 2012, Thorax.

[22]  Nicola A Hanania,et al.  Chronic obstructive pulmonary disease exacerbations in the COPDGene study: associated radiologic phenotypes. , 2011, Radiology.

[23]  L. Edwards,et al.  Changes in forced expiratory volume in 1 second over time in COPD. , 2011, The New England journal of medicine.

[24]  S. Muro,et al.  Impact of exacerbations on emphysema progression in chronic obstructive pulmonary disease. , 2011, American journal of respiratory and critical care medicine.

[25]  Josep Roca,et al.  Identification and prospective validation of clinically relevant chronic obstructive pulmonary disease (COPD) subtypes , 2010, Thorax.

[26]  William N. Venables,et al.  Modern Applied Statistics with S , 2010 .

[27]  J. Wedzicha,et al.  Susceptibility to exacerbation in chronic obstructive pulmonary disease. , 2010, The New England journal of medicine.

[28]  Edwin K Silverman,et al.  Characterisation of COPD heterogeneity in the ECLIPSE cohort , 2010, Respiratory research.

[29]  Edwin K Silverman,et al.  Chronic obstructive pulmonary disease phenotypes: the future of COPD. , 2010, American journal of respiratory and critical care medicine.

[30]  Yasutaka Nakano,et al.  CT scan findings of emphysema predict mortality in COPD. , 2010, Chest.

[31]  A. Swensen,et al.  The Economic Impact of Exacerbations of Chronic Obstructive Pulmonary Disease and Exacerbation Definition: A Review , 2010, COPD.

[32]  Asger Dirksen,et al.  Quantitative computed tomography measures of emphysema and airway wall thickness are related to respiratory symptoms. , 2010, American journal of respiratory and critical care medicine.

[33]  Raúl San José Estépar,et al.  CT metrics of airway disease and emphysema in severe COPD. , 2009, Chest.

[34]  T. Murphy,et al.  Infection in the pathogenesis and course of chronic obstructive pulmonary disease. , 2008, The New England journal of medicine.

[35]  S Muro,et al.  Body mass index in male patients with COPD: correlation with low attenuation areas on CT , 2008, Thorax.

[36]  Yasutaka Nakano,et al.  Airway wall thickening and emphysema show independent familial aggregation in chronic obstructive pulmonary disease. , 2008, American journal of respiratory and critical care medicine.

[37]  A. Zeileis,et al.  Regression Models for Count Data in R , 2008 .

[38]  Achim Zeileis,et al.  Regression Models for Count Data in , 2007 .

[39]  L. Fabbri,et al.  Association between markers of emphysema and more severe chronic obstructive pulmonary disease , 2006, Thorax.

[40]  T. Honda,et al.  Clinical analysis of chronic obstructive pulmonary disease phenotypes classified using high‐resolution computed tomography , 2006, Respirology.

[41]  M. Hasegawa,et al.  Airflow limitation and airway dimensions in chronic obstructive pulmonary disease. , 2006, American journal of respiratory and critical care medicine.

[42]  D. O’Donnell Hyperinflation, dyspnea, and exercise intolerance in chronic obstructive pulmonary disease. , 2006, Proceedings of the American Thoracic Society.

[43]  R. Casaburi,et al.  Reduction of hyperinflation by pharmacologic and other interventions. , 2006, Proceedings of the American Thoracic Society.

[44]  J. Hankinson,et al.  Interpretative strategies for lung function tests , 2005, European Respiratory Journal.

[45]  J. Hankinson,et al.  Standardisation of the single-breath determination of carbon monoxide uptake in the lung , 2005, European Respiratory Journal.

[46]  J. Hankinson,et al.  Standardisation of spirometry , 2005, European Respiratory Journal.

[47]  Yasutaka Nakano,et al.  The prediction of small airway dimensions using computed tomography. , 2005, American journal of respiratory and critical care medicine.

[48]  Jeffrey S. Simonoff,et al.  Regression Models for Count Data , 2003 .

[49]  P. Paré,et al.  Quantitative assessment of airway remodeling using high-resolution CT. , 2002, Chest.

[50]  G. Bepler,et al.  Screening for lung cancer. , 2000, The New England journal of medicine.

[51]  P. Paré,et al.  Computed tomographic measurements of airway dimensions and emphysema in smokers. Correlation with lung function. , 2000, American journal of respiratory and critical care medicine.

[52]  P De Vuyst,et al.  Comparison of computed density and microscopic morphometry in pulmonary emphysema. , 1996, American journal of respiratory and critical care medicine.

[53]  N. Müller,et al.  "Density mask". An objective method to quantitate emphysema using computed tomography. , 1988, Chest.

[54]  C M Fletcher,et al.  The emphysematous and bronchial types of chronic airways obstruction. A clinicopathological study of patients in London and Chicago. , 1966, Lancet.