Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zervas, Eleftherios, Samitas, Konstantinos, Papaioannou, Andriana I., Bakakos, Petros, Loukides, Stelios, Gaga, Mina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2018
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
_version_ 1783304241205477376
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
work_keys_str_mv AT zervaseleftherios analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT samitaskonstantinos analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT papaioannouandrianai analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT bakakospetros analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT loukidesstelios analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT gagamina analgorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT zervaseleftherios algorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT samitaskonstantinos algorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT papaioannouandrianai algorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT bakakospetros algorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT loukidesstelios algorithmicapproachforthetreatmentofsevereuncontrolledasthma
AT gagamina algorithmicapproachforthetreatmentofsevereuncontrolledasthma