A new two-step algorithm for the treatment of COPD. Issue 2 (9th February 2017)
- Record Type:
- Journal Article
- Title:
- A new two-step algorithm for the treatment of COPD. Issue 2 (9th February 2017)
- Main Title:
- A new two-step algorithm for the treatment of COPD
- Authors:
- Miravitlles, Marc
Anzueto, Antonio - Abstract:
- The pharmacological treatment of chronic obstructive pulmonary disease (COPD) is quite uniformly based on long-acting bronchodilators (LABD), either a long-acting muscarinic antagonist (LAMA) or a long-acting β-agonist (LABA), and inhaled corticosteroids (ICS). Moreover, most patients are eventually treated with a combination of all three (LAMA/LABA/ICS or "triple therapy") irrespective of their severity and level of risk. Furthermore, a large proportion of patients receive triple therapy as the initial treatment [1]. We propose a new simple treatment algorithm based on the severity of symptoms and phenotypes or treatable traits (figure 1). Treatment of COPD can be simplified with a two-step algorithm according to severity and phenotype http://ow.ly/iJUN306DEHU
- Is Part Of:
- European respiratory journal. Volume 49:Issue 2(2017)
- Journal:
- European respiratory journal
- Issue:
- Volume 49:Issue 2(2017)
- Issue Display:
- Volume 49, Issue 2 (2017)
- Year:
- 2017
- Volume:
- 49
- Issue:
- 2
- Issue Sort Value:
- 2017-0049-0002-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-02-09
- Subjects:
- Respiratory organs -- Diseases -- Periodicals
Respiration -- Periodicals
616.2 - Journal URLs:
- http://erj.ersjournals.com ↗
http://www.ersnet.org ↗
http://www.blackwell-synergy.com/member/institutions/issuelist.asp?journal=mrj ↗
http://www.ingenta.com/journals/browse/ers/erj?mode=direct ↗ - DOI:
- 10.1183/13993003.02200-2016 ↗
- Languages:
- English
- ISSNs:
- 0903-1936
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24604.xml