Article ; Online: Oscillometry in severe asthma: the state of the art and future perspectives.
Expert review of respiratory medicine
2023 Volume 17, Issue 7, Page(s) 563–575
Abstract: Introduction: Approximately 3-10% of people with asthma have severe asthma (SA). Patients with SA have greater impairment in daily life and much higher costs. Even if asthma affects the entire bronchial tree, small airways have been recognized as the ... ...
Abstract | Introduction: Approximately 3-10% of people with asthma have severe asthma (SA). Patients with SA have greater impairment in daily life and much higher costs. Even if asthma affects the entire bronchial tree, small airways have been recognized as the major site of airflow limitation. There are several tools for studying small airway dysfunction (SAD), but certainly the most interesting is oscillometry. Despite several studies, the clinical usefulness of oscillometry in asthma is still in question. This paper aims to provide evidence supporting the use of oscillometry to improve the management of SA in clinical practice. Areas covered: In the ATLANTIS study, SAD was strongly evident across all severity. Various tools are available for evaluation of SAD, and certainly an integrated use of these can provide complete and detailed information. However, the most suitable method is oscillometry, implemented for clinical routine by using either small pressure impulses or small pressure sinusoidal waves. Expert opinion: Oscillometry, despite its different technological implementations is the best tool for determining the impact of SAD on asthma and its control. Oscillometry will also be increasingly useful for choosing the appropriate drug, and there is ample room for a more widespread diffusion in clinical practice. |
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MeSH term(s) | Humans ; Oscillometry/methods ; Spirometry/methods ; Asthma/diagnosis ; Asthma/therapy ; Lung |
Language | English |
Publishing date | 2023-07-20 |
Publishing country | England |
Document type | Journal Article ; Review |
ZDB-ID | 2479146-5 |
ISSN | 1747-6356 ; 1747-6348 |
ISSN (online) | 1747-6356 |
ISSN | 1747-6348 |
DOI | 10.1080/17476348.2023.2237872 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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