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An algorithmic approach for the treatment of severe uncontrolled asthma
A small subgroup of patients with asthma suffers from severe disease that is either partially controlled or uncontrolled despite intensive, guideline-based treatment. These patients have significantly impaired quality of life and although they constitute <5% of all asthma patients, they are respo...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
European Respiratory Society
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838355/ https://www.ncbi.nlm.nih.gov/pubmed/29531957 http://dx.doi.org/10.1183/23120541.00125-2017 |
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author | Zervas, Eleftherios Samitas, Konstantinos Papaioannou, Andriana I. Bakakos, Petros Loukides, Stelios Gaga, Mina |
author_facet | Zervas, Eleftherios Samitas, Konstantinos Papaioannou, Andriana I. Bakakos, Petros Loukides, Stelios Gaga, Mina |
author_sort | Zervas, Eleftherios |
collection | PubMed |
description | A small subgroup of patients with asthma suffers from severe disease that is either partially controlled or uncontrolled despite intensive, guideline-based treatment. These patients have significantly impaired quality of life and although they constitute <5% of all asthma patients, they are responsible for more than half of asthma-related healthcare costs. Here, we review a definition for severe asthma and present all therapeutic options currently available for these severe asthma patients. Moreover, we suggest a specific algorithmic treatment approach for the management of severe, difficult-to-treat asthma based on specific phenotype characteristics and biomarkers. The diagnosis and management of severe asthma requires specialised experience, time and effort to comprehend the needs and expectations of each individual patient and incorporate those as well as his/her specific phenotype characteristics into the management planning. Although some new treatment options are currently available for these patients, there is still a need for further research into severe asthma and yet more treatment options. |
format | Online Article Text |
id | pubmed-5838355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | European Respiratory Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-58383552018-03-12 An algorithmic approach for the treatment of severe uncontrolled asthma Zervas, Eleftherios Samitas, Konstantinos Papaioannou, Andriana I. Bakakos, Petros Loukides, Stelios Gaga, Mina ERJ Open Res Review A small subgroup of patients with asthma suffers from severe disease that is either partially controlled or uncontrolled despite intensive, guideline-based treatment. These patients have significantly impaired quality of life and although they constitute <5% of all asthma patients, they are responsible for more than half of asthma-related healthcare costs. Here, we review a definition for severe asthma and present all therapeutic options currently available for these severe asthma patients. Moreover, we suggest a specific algorithmic treatment approach for the management of severe, difficult-to-treat asthma based on specific phenotype characteristics and biomarkers. The diagnosis and management of severe asthma requires specialised experience, time and effort to comprehend the needs and expectations of each individual patient and incorporate those as well as his/her specific phenotype characteristics into the management planning. Although some new treatment options are currently available for these patients, there is still a need for further research into severe asthma and yet more treatment options. European Respiratory Society 2018-03-06 /pmc/articles/PMC5838355/ /pubmed/29531957 http://dx.doi.org/10.1183/23120541.00125-2017 Text en Copyright ©ERS 2018 http://creativecommons.org/licenses/by-nc/4.0/ This article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. |
spellingShingle | Review Zervas, Eleftherios Samitas, Konstantinos Papaioannou, Andriana I. Bakakos, Petros Loukides, Stelios Gaga, Mina An algorithmic approach for the treatment of severe uncontrolled asthma |
title | An algorithmic approach for the treatment of severe uncontrolled asthma |
title_full | An algorithmic approach for the treatment of severe uncontrolled asthma |
title_fullStr | An algorithmic approach for the treatment of severe uncontrolled asthma |
title_full_unstemmed | An algorithmic approach for the treatment of severe uncontrolled asthma |
title_short | An algorithmic approach for the treatment of severe uncontrolled asthma |
title_sort | algorithmic approach for the treatment of severe uncontrolled asthma |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5838355/ https://www.ncbi.nlm.nih.gov/pubmed/29531957 http://dx.doi.org/10.1183/23120541.00125-2017 |
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