EvA (Emphysema versus Airway disease) is a multicentre project to study mechanisms and identify biomarkers of emphysema and airway disease in chronic obstructive pulmonary disease (COPD). The objective of this study was to delineate objectively imaging-based emphysema-dominant and airway disease-dominant phenotypes using quantitative computed tomography (QCT) indices, standardised with a novel phantom-based approach. 441 subjects with COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages 1-3) were assessed in terms of clinical and physiological measurements, laboratory testing and standardised QCT indices of emphysema and airway wall geometry. QCT indices were influenced by scanner non-conformity, but standardisation significantly reduced variability (p<0.001) and led to more robust phenotypes. Four imaging-derived phenotypes were identified, reflecting "emphysema-dominant", "airway disease-dominant", "mixed" disease and "mild" disease. The emphysema-dominant group had significantly higher lung volumes, lower gas transfer coefficient, lower oxygen (PO2) and carbon dioxide (PCO2) tensions, higher haemoglobin and higher blood leukocyte numbers than the airway disease-dominant group. The utility of QCT for phenotyping in the setting of an international multicentre study is improved by standardisation. QCT indices of emphysema and airway disease can delineate within a population of patients with COPD, phenotypic groups that have typical clinical features known to be associated with emphysema-dominant and airway-dominant disease.

Emphysema- and airway-dominant COPD phenotypes defined by standardised quantitative computed tomography

BENEA, GIORGIO;LEPROTTI, Stefano;BOSCHETTO, Piera;
2016

Abstract

EvA (Emphysema versus Airway disease) is a multicentre project to study mechanisms and identify biomarkers of emphysema and airway disease in chronic obstructive pulmonary disease (COPD). The objective of this study was to delineate objectively imaging-based emphysema-dominant and airway disease-dominant phenotypes using quantitative computed tomography (QCT) indices, standardised with a novel phantom-based approach. 441 subjects with COPD (Global Initiative for Chronic Obstructive Lung Disease (GOLD) stages 1-3) were assessed in terms of clinical and physiological measurements, laboratory testing and standardised QCT indices of emphysema and airway wall geometry. QCT indices were influenced by scanner non-conformity, but standardisation significantly reduced variability (p<0.001) and led to more robust phenotypes. Four imaging-derived phenotypes were identified, reflecting "emphysema-dominant", "airway disease-dominant", "mixed" disease and "mild" disease. The emphysema-dominant group had significantly higher lung volumes, lower gas transfer coefficient, lower oxygen (PO2) and carbon dioxide (PCO2) tensions, higher haemoglobin and higher blood leukocyte numbers than the airway disease-dominant group. The utility of QCT for phenotyping in the setting of an international multicentre study is improved by standardisation. QCT indices of emphysema and airway disease can delineate within a population of patients with COPD, phenotypic groups that have typical clinical features known to be associated with emphysema-dominant and airway-dominant disease.
2016
Subramanian, Deepak R.; Gupta, Sumit; Burggraf, Dorothe; Vom Silberberg, Suzan J.; Heimbeck, Irene; Heiss Neumann, Marion S.; Haeussinger, Karl; Newby, Chris; Hargadon, Beverley; Raj, Vimal; Singh, Dave; Kolsum, Umme; Hofer, Thomas P.; Al Shair, Khaled; Luetzen, Niklas; Prasse, Antje; Müller Quernheim, Joachim; Benea, Giorgio; Leprotti, Stefano; Boschetto, Piera; Gorecka, Dorota; Nowinski, Adam; Oniszh, Karina; Zu Castell, Wolfgang; Hagen, Michael; Barta, Imre; Döme, Balázs; Strausz, Janos; Greulich, Timm; Vogelmeier, Claus; Koczulla, Andreas R.; Gut, Ivo; Hohlfeld, Jens; Welte, Tobias; Lavae Mokhtari, Mahyar; Ziegler Heitbrock, Loems; Brightling, Christopher; Parr, David G.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2370650
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