Asthma, COPD
Conditions
Keywords
Lung sound analysis, Asthma Exacerbation, COPD Exacerbation
Brief summary
This observational study evaluates whether lung sound analysis with LungPass device can be used to differentiate exacerbation and stable state asthma and COPD.
Detailed description
This is a prospective observational study comprised patients with moderate or severe COPD or asthma exacerbation in primary care settings. Patients will be examined twice - during an exacerbation of the disease and in a stable phase. Patients will undergo routine clinical examination including lung auscultation with conventional stethoscope and LungPass device. Moreover, symptoms and anamnesis data, results of symptoms questionnaires (CAT for COPD and ACQ-5 for asthma), result of diagnostic questionnaire from the LungPass App, spirometry data, serum procalcitonin (for COPD patients), C-reactive protein, white blood cell count and blood eosinophil count, results of sputum cytology examination, Х-ray results (if carried out according to indications) will be collected.
Interventions
Lung auscultation with electronic stethoscope
Sponsors
Belarusian Medical Academy of Post-Graduate Education
University of Manchester
Healthy Networks
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
3 Years to No maximum
Healthy volunteers
No
Inclusion criteria
For COPD patients: * Patients able and willing to sign an informed consent to participate in the study; * Patient is aged 40 years or older with a smoking history of ≥10 pack years; * Patients with COPD confirmed previously by a detailed medical history and examination; * Patients presenting with moderate or severe exacerbation of chronic obstructive pulmonary disease. * Patient is treated by a monotherapy long-acting muscarinic antagonist (LAMA), or LAMA plus long acting beta2-agonist (LABA), or inhaled corticosteroid (ICS) plus LABA, or LAMA plus LABA plus ICS. For asthma patients: * Patients able and willing to sign an informed consent to participate in the study; * Patient is aged 3 years or older; * Patients with asthma confirmed previously by a detailed medical history and examination; * Patients presenting with moderate or severe exacerbation of asthma; * Patient is treated by a monotherapy ICS or ICS plus LABA or other controllers.
Exclusion criteria
* Age up to 3 years for asthma patients and up to 40 years for COPD patients; * Patient refusal to participate in the study; * Patients with subcutaneous emphysema, with damaged skin on the surface of the chest, with drainage in the pleural space, patients undergoing mechanical ventilation; * Patients with asthma-COPD overlap or presence of other known chronic lung conditions such tuberculosis, cystic fibrosis or clinically significant bronchiectasis; * Mental illness, other known acute diseases or known chronic decompensated diseases, such as a known active malignancy or severe heart failure, other known ongoing infection.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of asthma exacerbation detection by lung sounds | 30.09.2021-30.09.2022 | Accuracy of identifying acute exacerbation of asthma by abnormal lung sounds detected with LungPass device. |
| Accuracy of COPD exacerbation detection by lung sounds | 30.09.2021-30.09.2022 | Accuracy of identifying acute exacerbation of chronic obstructive pulmonary disease by abnormal lung sounds detected with LungPass device. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Lung sounds and symptoms correlation in patients with asthma exacerbation | 30.09.2021-30.09.2022 | Correlation between the presence of pathological pulmonary sounds and the presence of symptoms of asthma exacerbation |
| Lung sounds and symptoms correlation in patients with COPD exacerbation | 30.09.2021-30.09.2022 | Correlation between the presence of pathological pulmonary sounds and the presence of symptoms of COPD exacerbation |
Other
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of asthma exacerbation detection by LungPass App output | 30.09.2021-30.09.2022 | Аccuracy of identifying acute exacerbation of chronic obstructive pulmonary disease and asthma by final LungPass App output which based on abnormal lung sounds detected with LungPass device together with symptoms collected using a questionnaire in the LungPass app\*. \* Final LungPass App output is possible patient condition (asthma/asthma exacerbation, COPD/COPD exacerbation, bronchitis, pneumonia, etc) |
| Accuracy of COPD exacerbation detection by LungPass App output | 30.09.2021-30.09.2022 | Аccuracy of identifying acute exacerbation of chronic obstructive pulmonary disease by final LungPass App output which based on abnormal lung sounds detected with LungPass device together with symptoms collected using a questionnaire in the LungPass app\*. \* Final LungPass App output is possible patient condition (asthma/asthma exacerbation, COPD/COPD exacerbation, bronchitis, pneumonia, etc) |
Countries
Belarus
Contacts
Primary ContactHelena Binetskaya
Backup ContactOlga Kharevich, MD, PhD
Outcome results
None listed