Can computed tomography help us identify asthmatic phenotypes? - 01/03/14
Doi : 10.1016/j.jaci.2013.12.1036
Ajay Sheshadri, MD a, Eric A. Hoffman, PhD b, Mario Castro, MD, MPH a, ⁎ 
a Division of Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St Louis, Mo
b Department of Radiology, University of Iowa Carver College of Medicine, Iowa City, lowa
∗Corresponding author: Mario Castro, MD, MPH, Washington University School of Medicine, Campus Box 8052, 660 S Euclid, St Louis, MO 63110-1093.
Key words : Endotype, biomarker, phenotype, asthma
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| Disclosure of potential conflict of interest: E. A. Hoffman has received research support and travel support from the National Institutes of Health (NIH) and has stock/stock options in VIDA Diagnostics. M. Castro has received research support from the NIH (SARP); has consultancy arrangements with Asthmatx/Boston Scientific, Genentech, IPS/Holaira, Pulmagen, and Sanofi Aventis; has received one or more grants from or has one or more grants pending with Asthmatx/Boston Scientific, Amgen, Ception/Cephalon/Teva, Genentech, MedImmune, Merck, Novartis, GlaxoSmithKline, Sanofi Aventis, Vectura, Next Bio, and KaloBios; has received one or more payments for lecturing from or is on the speakers' bureau for Merck, GlaxoSmithKline, Genentech, Asthmatx/Boston Scientific, and Boehringer Ingelheim; and has received royalties from Elsevier. A. Sheshadri declares no relevant conflicts of interest. |
© 2014
American Academy of Allergy, Asthma & Immunology. Publié par Elsevier Masson SAS. Tous droits réservés.
Vol 133 - N° 3
P. 739-740 - mars 2014 Retour au numéro
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