COPD, Lung Diseases
Conditions
Keywords
Spirometry
Brief summary
Respiratory diseases are a common cause of mortality and disability at the worldwide and national levels. Many of them are characterized by underdiagnosis and diagnosis in advanced stages of the disease, and in most of them, forced spirometry is one of the fundamental tools to assess the diagnosis and seriousness of the disease. To help in improving the detection of respiratory diseases and the understanding of the respiratory health of the general population, one possible solution would be to develop a mobile application that could assess respiratory health by using the sound signal of exhaled air recorded by a mobile microphone. This project will aim to validate a mobile application (WebApp) for the detection of pulmonary function disorders. It is planned to recruit 267 subjects, with and without respiratory disease, who are attended in pulmonary function laboratories of 10 Spanish hospitals, to compare the sensitivity of this application in the diagnosis of pulmonary function disorders (either obstructive patterns or PRISm) versus the gold standard (spirometry). Ease of use and user satisfaction with the application will also be assessed.
Interventions
DIAGNOSTIC_TESTMobile Web App
all participants will undergo an assessment of respiratory health by analyzing the sound of exhaled air recorded by the participant's mobile phone
Sponsors
SEPAR- EPOC
Study design
Observational model
COHORT
Time perspective
CROSS_SECTIONAL
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Inclusion criteria
* Adult subjects with age range between 18 and 80 years old * Signing the informed consent form * Subjects scheduled for respiratory function tests at the pulmonary function laboratory for clinical reasons * Having a cell phone and be willing to install the application
Exclusion criteria
* Contraindication to perform any of the protocol procedures * Inability to answer the study questionnaires.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Main Outcome | At the time of assessment | Proportion of lung function abnormalities (defined as FEV1/FVC\<0.7 or LLN) detected with the mobile app |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Secondary Outcome | At the time of assessment | To analize the diagnostic performance from web app to detect different lung function abnormalities |
Countries
Spain
Outcome results
None listed