S'abonner

Relationship between lung function and quantitative computed tomographic parameters of airway remodeling, air trapping, and emphysema in patients with asthma and chronic obstructive pulmonary disease: A single-center study - 05/05/16

Doi : 10.1016/j.jaci.2016.02.001 
Ruth A. Hartley, MBcHB, MRCS a, Bethan L. Barker, MBBS, MRCP a, Chris Newby, PhD a, Mini Pakkal, FRCR a, Simonetta Baldi, MD, PhD a, Radhika Kajekar, PhD c, Richard Kay, PhD d, Marie Laurencin, PhD d, Richard P. Marshall, PhD, MRCP e, Ana R. Sousa, PhD e, Harsukh Parmar, PhD c, Salman Siddiqui, PhD, MRCP a, Sumit Gupta, PhD, FRCR, MRCP a, b, , Chris E. Brightling, PhD, FRCP a,
a Department of Infection, Inflammation and Immunity and Health Sciences, Institute for Lung Health, University of Leicester, Leicester, United Kingdom 
b Radiology Department, Glenfield Hospital, University Hospitals of Leicester NHS Trust, Leicester, United Kingdom 
c Department of experimental Medicine, Hoffmann-La Roche, Nutley, NJ 
d Novartis, Basel, Switzerland 
e GlaxoSmithKline, Stevenage, United Kingdom 

Corresponding author: Chris E. Brightling, PhD, FRCP, University of Leicester, Glenfield General Hospital, Leicester LE3 9QP, United Kingdom.University of LeicesterGlenfield General HospitalLeicesterLE3 9QPUnited Kingdom

Abstract

Background

There is a paucity of studies comparing asthma and chronic obstructive pulmonary disease (COPD) based on thoracic quantitative computed tomographic (QCT) parameters.

Objectives

We sought to compare QCT parameters of airway remodeling, air trapping, and emphysema between asthmatic patients and patients with COPD and explore their relationship with airflow limitation.

Methods

Asthmatic patients (n = 171), patients with COPD (n = 81), and healthy subjects (n = 49) recruited from a single center underwent QCT and clinical characterization.

Results

Proximal airway percentage wall area (%WA) was significantly increased in asthmatic patients (62.5% [SD, 2.2]) and patients with COPD (62.7% [SD, 2.3]) compared with that in healthy control subjects (60.3% [SD, 2.2], P < .001). Air trapping measured based on mean lung density expiratory/inspiratory ratio was significantly increased in patients with COPD (mean, 0.922 [SD, 0.037]) and asthmatic patients (mean, 0.852 [SD, 0.061]) compared with that in healthy subjects (mean, 0.816 [SD, 0.066], P < .001). Emphysema assessed based on lung density measured by using Hounsfield units below which 15% of the voxels lie (Perc15) was a feature of COPD only (patients with COPD: mean, −964 [SD, 19.62] vs asthmatic patients: mean, −937 [SD, 22.7] and healthy subjects: mean, −937 [SD, 17.1], P < .001). Multiple regression analyses showed that the strongest predictor of lung function impairment in asthmatic patients was %WA, whereas in the COPD and asthma subgrouped with postbronchodilator FEV1 percent predicted value of less than 80%, it was air trapping. Factor analysis of QCT parameters in asthmatic patients and patients with COPD combined determined 3 components, with %WA, air trapping, and Perc15 values being the highest loading factors. Cluster analysis identified 3 clusters with mild, moderate, or severe lung function impairment with corresponding decreased lung density (Perc15 values) and increased air trapping.

Conclusions

In asthmatic patients and patients with COPD, lung function impairment is strongly associated with air trapping, with a contribution from proximal airway narrowing in asthmatic patients.

Le texte complet de cet article est disponible en PDF.

Key words : Asthma, chronic obstructive pulmonary disease, airway remodeling, quantitative computed tomography, asthma-COPD overlap syndrome, small airway disease, emphysema, gas trapping

Abbreviations used : BSA, COPD, CT, GINA, ICC, KCO, LA, MLDE/I, Perc15, QCT, TA, WA


Plan


 Supported by GlaxoSmithKline, Novartis, Roche, a Wellcome Trust Senior Fellowship (CEB), the Airway Disease Predicting Outcomes through Patient Specific Computational Modelling (AirPROM) project (funded through FP7 EU grant), the Leicester National Institute for Health Research (NIHR) Respiratory Biomedical Research Unit, and the MRC-ABPI COPD consortium (COPDMAP). S.G. is a National Institute for Health Research (NIHR) Clinical Lecturer and is funded by a research and career development training scheme. This article presents independent research funded by the National Institute for Health Research (NIHR). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health.
 Disclosure of potential conflict of interest: R. Kajekar is employed by Novartis Pharmaceutical. R. K. is employed by and is shareholder in Novartis Pharmaceuticals AG, Switzerland. M. Laurencin is an employee of Novartis Pharmaceuticals AG. R. P. Marshall and A. R. Sousa are employees of and shareholders in GlaxoSmithKline. S. Siddiqui receives consultancy fees from Chiesi at ERS 2015; is on advisory boards for Chiesi, Boehringer, Astra Zeneca, Roche, and GlaxoSmithKline; is a consultant for Stallergenes and Mundipharma; received grants from Sir Jules Thorne Trust Grant, Chiesi Onulus Grant, and Chiesi Gift in Aid; and receives payment for ERS 2015: AirPROM Small Airway Symposium. S. Gupta received funds from the National Institute for Health Research, received a grant from the Royal College of Radiologists Pump Priming Grant Scheme, and has a pending grant from the Academy of Medical Sciences Starter Grants for Clinical Lecturers Scheme. C. E. Brightling received a grant from GlaxoSmithKline, Novartis, Roche, MRC, and FP7 EU; received a grant from GlaxoSmithKline, Novartis, BI, Astra Zeneca, Chiesi, Pfizer, and Vectura; and is a consultant for GlaxoSmithKline, Novartis, BI, Astra Zeneca, Chiesi, Pfizer, and Vectura. The rest of the authors declare that they have no relevant conflicts of interest.


© 2016  The Authors. Publié par Elsevier Masson SAS. Tous droits réservés.
Ajouter à ma bibliothèque Retirer de ma bibliothèque Imprimer
Export

    Export citations

  • Fichier

  • Contenu

Vol 137 - N° 5

P. 1413 - mai 2016 Retour au numéro
Article précédent Article précédent
  • Asthma as a risk factor for zoster in adults: A population-based case-control study
  • Hyo Jin Kwon, Duk Won Bang, Eun Na Kim, Chung-Il Wi, Barbara P. Yawn, Peter C. Wollan, Brian D. Lahr, Euijung Ryu, Young J. Juhn
| Article suivant Article suivant
  • Circulating microRNAs as biomarkers in patients with allergic rhinitis and asthma
  • Ronaldo P. Panganiban, Yanli Wang, Judie Howrylak, Vernon M. Chinchilli, Timothy J. Craig, Avery August, Faoud T. Ishmael

Bienvenue sur EM-consulte, la référence des professionnels de santé.
L’accès au texte intégral de cet article nécessite un abonnement.

Déjà abonné à cette revue ?

Elsevier s'engage à rendre ses eBooks accessibles et à se conformer aux lois applicables. Compte tenu de notre vaste bibliothèque de titres, il existe des cas où rendre un livre électronique entièrement accessible présente des défis uniques et l'inclusion de fonctionnalités complètes pourrait transformer sa nature au point de ne plus servir son objectif principal ou d'entraîner un fardeau disproportionné pour l'éditeur. Par conséquent, l'accessibilité de cet eBook peut être limitée. Voir plus

Mon compte


Plateformes Elsevier Masson

Déclaration CNIL

EM-CONSULTE.COM est déclaré à la CNIL, déclaration n° 1286925.

En application de la loi nº78-17 du 6 janvier 1978 relative à l'informatique, aux fichiers et aux libertés, vous disposez des droits d'opposition (art.26 de la loi), d'accès (art.34 à 38 de la loi), et de rectification (art.36 de la loi) des données vous concernant. Ainsi, vous pouvez exiger que soient rectifiées, complétées, clarifiées, mises à jour ou effacées les informations vous concernant qui sont inexactes, incomplètes, équivoques, périmées ou dont la collecte ou l'utilisation ou la conservation est interdite.
Les informations personnelles concernant les visiteurs de notre site, y compris leur identité, sont confidentielles.
Le responsable du site s'engage sur l'honneur à respecter les conditions légales de confidentialité applicables en France et à ne pas divulguer ces informations à des tiers.


Tout le contenu de ce site: Copyright © 2026 Elsevier, ses concédants de licence et ses contributeurs. Tout les droits sont réservés, y compris ceux relatifs à l'exploration de textes et de données, a la formation en IA et aux technologies similaires. Pour tout contenu en libre accès, les conditions de licence Creative Commons s'appliquent.