The evolving algorithm of biological selection in severe asthma-Reference-Cited by-同舟云学术

The evolving algorithm of biological selection in severe asthma

Published:2020-03-17 Issue:7 Volume:75 Page:1555-1563
ISSN:0105-4538
Container-title:Allergy
language:en
Short-container-title:Allergy

Author:

Papadopoulos Nikolaos G.¹²^ORCID,Barnes Peter³^ORCID,Canonica Giorgio Walter⁴,Gaga Mina⁵,Heaney Liam⁶,Menzies‐Gow Andrew⁷,Kritikos Vicky⁸^ORCID,Fitzgerald Mark⁹

Affiliation:

1. Division of Infection Immunity & Respiratory Medicine University of Manchester Manchester UK

2. Allergy Department 2nd Pediatric Clinic National Kapodistrian University of Athens Athens Greece

3. National Heart and Lung Institute Imperial College London UK

4. Personalized Medicine, Asthma and Allergy ‐ Humanitas Clinical and Research Center IRCCS Rozzano MI Italy

5. 7th Respiratory Medicine Department and Asthma Center Athens Chest Hospital “Sotiria” Athens Greece

6. Centre for Experimental Medicine Wellcome‐Wolfson Institute for Experimental Medicine Belfast UK

7. Department of Respiratory Medicine Royal Brompton Hospital London UK

8. Quality Use of Respiratory Medicines Group Woolcock Institute of Medical Research University of Sydney Sydney NSW Australia

9. Centre for Heart and Lung Health The Lung Centre Vancouver General Hospital UBC Institute for Heart and Lung Health Vancouver BC Canada

Funder

Respiratory Effectiveness Group

Publisher

Wiley

Subject

Immunology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/all.14256

Reference67 articles.

1. International ERS/ATS guidelines on definition, evaluation and treatment of severe asthma

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3. GINA.Global strategy for asthma management and prevention 2019.https://ginasthma.org/wp‐content/uploads/2019/06/GINA‐2019‐main‐report‐June‐2019‐wms.pdfAccessed December 16 2019.

4. Theophylline

5. Different endotypes and phenotypes drive the heterogeneity in severe asthma

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