Abstract
Rationale
It is unclear how each individual asthma symptom is associated with asthma diagnosis or control.
Objectives
To assess the performance of individual asthma symptoms in the identification of patients with asthma and their association with asthma control.
Methods
In this cross-sectional study, we assessed real-world data using the MASK-air® app. We compared the frequency of occurrence of five asthma symptoms (dyspnea, wheezing, chest tightness, fatigue and night symptoms, as assessed by the Control of Allergic Rhinitis and Asthma Test [CARAT] questionnaire) in patients with probable, possible or no current asthma. We calculated the sensitivity, specificity and predictive values of each symptom, and assessed the association between each symptom and asthma control (measured using the e-DASTHMA score). Results were validated in a sample of patients with a physician-established diagnosis of asthma.
Measurement and Main Results
We included 951 patients (2153 CARAT assessments), with 468 having probable asthma, 166 possible asthma and 317 no evidence of asthma. Wheezing displayed the highest specificity (90.5%) and positive predictive value (90.8%). In patients with probable asthma, dyspnea and chest tightness were more strongly associated with asthma control than other symptoms. Dyspnea was the symptom with the highest sensitivity (76.1%) and the one consistently associated with the control of asthma as assessed by e-DASTHMA. Consistent results were observed when assessing patients with a physician-made diagnosis of asthma.
Conclusions
Wheezing and chest tightness were the asthma symptoms with the highest specificity for asthma diagnosis, while dyspnea displayed the highest sensitivity and strongest association with asthma control.
It is unclear how each individual asthma symptom is associated with asthma diagnosis or control.
Objectives
To assess the performance of individual asthma symptoms in the identification of patients with asthma and their association with asthma control.
Methods
In this cross-sectional study, we assessed real-world data using the MASK-air® app. We compared the frequency of occurrence of five asthma symptoms (dyspnea, wheezing, chest tightness, fatigue and night symptoms, as assessed by the Control of Allergic Rhinitis and Asthma Test [CARAT] questionnaire) in patients with probable, possible or no current asthma. We calculated the sensitivity, specificity and predictive values of each symptom, and assessed the association between each symptom and asthma control (measured using the e-DASTHMA score). Results were validated in a sample of patients with a physician-established diagnosis of asthma.
Measurement and Main Results
We included 951 patients (2153 CARAT assessments), with 468 having probable asthma, 166 possible asthma and 317 no evidence of asthma. Wheezing displayed the highest specificity (90.5%) and positive predictive value (90.8%). In patients with probable asthma, dyspnea and chest tightness were more strongly associated with asthma control than other symptoms. Dyspnea was the symptom with the highest sensitivity (76.1%) and the one consistently associated with the control of asthma as assessed by e-DASTHMA. Consistent results were observed when assessing patients with a physician-made diagnosis of asthma.
Conclusions
Wheezing and chest tightness were the asthma symptoms with the highest specificity for asthma diagnosis, while dyspnea displayed the highest sensitivity and strongest association with asthma control.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | e12358 |
| Tidsskrift | Clinical and Translational Allergy |
| Vol/bind | 14 |
| Udgave nummer | 6 |
| Antal sider | 15 |
| ISSN | 2045-7022 |
| DOI | |
| Status | Udgivet - 2024 |
Bibliografisk note
Funding Information:Partly funded by the grant obtained from Li\u00E8ge University. MASK\u2010air has been supported by EU grants (from the Impact of air Pollution on Asthma and Rhinitis project of the European Institute of Innovation and Technology Health; Structural and Development Funds, R\u00E9gion Languedoc Roussillon, and Provence\u2010Alpes\u2010Co\u0302te d\u2019Azur; Twinning, European Innovation Partnership on Active and Healthy Ageing, DG Sant\u00E9 and DG Connect; H2020 and Horizon Europe), by Esp\u00EDritu Santo University, Samborondon, Ecuador and by educational grants from Mylan\u2010Viatris, Allergologisk Laboratorium K\u00F8benhavn, GlaxoSmithKline, Novartis, Stallerg\u00E8nes\u2010Greer, and Uriach.
Funding Information:
Partly funded by the grant obtained from Li\u00E8ge University. MASK-air has been supported by EU grants (from the Impact of air Pollution on Asthma and Rhinitis project of the European Institute of Innovation and Technology Health; Structural and Development Funds, R\u00E9gion Languedoc Roussillon, and Provence-Alpes-Co\u0302te d\u2019Azur; Twinning, European Innovation Partnership on Active and Healthy Ageing, DG Sant\u00E9 and DG Connect; H2020 and Horizon Europe), by Esp\u00EDritu Santo University, Samborondon, Ecuador and by educational grants from Mylan-Viatris, Allergologisk Laboratorium K\u00F8benhavn, GlaxoSmithKline, Novartis, Stallerg\u00E8nes-Greer, and Uriach. Open Access funding enabled and organized by Projekt DEAL.
Publisher Copyright:
© 2024 The Authors. Clinical and Translational Allergy published by John Wiley & Sons Ltd on behalf of European Academy of Allergy and Clinical Immunology.