Asthma COPDNCT07447596
Oscillometry and Machine Learning Approaches
An observational study of Asthma COPD, run by Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau at 1 site in Spain.
Trial summary
Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry. Read more about this study
- Who is it for?
- Ages 18 to 99 yearsHealthy volunteers can take part
- Conditions the study is for
- Asthma COPD
- What is being tested?
- 1
- How many people
- 50 participants
- Where
- 1 siteSpain
- Study dates
- 15 Oct 2025to 1 Sep 2026
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 99 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Patients with asthma or COPD
Who may be able to join
- 18 - 90 years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Who cannot join
- Acute respiratory infection
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Spain1 site, 1 recruiting
- Recruiting
Hospital de la Santa Creu i Sant Pau
Barcelona, 08041
Astrid Crespo Lessmann, MD, +34-935565972, acrespo@santpau.cat
About this study
Official title: Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.
Read the detailed description
Impulse oscillometry is a technique that allows evaluation of pulmonary mechanics through the application of sound waves of different frequencies, collecting the oscillations produced in the patient in response. The use of mathematical algorithms in the interpretation of oscillometry improves the evaluation of pulmonary function. The aim of the present study is to evaluate machine learning approaches to recognize respiratory patterns of different diseases.
- Conditions
- Asthma COPD
- Being tested
- 1
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
1Other
Compare oscillometry results with spirometryClick to apply
| Study group | Role | What they receive |
|---|---|---|
| Oscillometry | Compare oscillometry results with spirometryClick to apply Receives: Other: 1 |
What is being measured
The primary outcome is the main question the study is designed to answer.
Oscillometric breathing pattern
Analyze results obtained
Measured: 1 year
Secondary outcomes (1)
Respiratory pattern spirometry
Forced expiratory volume in 1 second
Measured: 1 year
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Mar 2026
- Study start15 Oct 2025
- Primary completion15 Jul 2026 (estimated)
- Study completion1 Sep 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (4)Papers the sponsor has linked to this study.
- Other trials for Asthma COPDStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Other
- Time perspective
- Retrospective
- Enrolment
- 50 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Astrid Crespo-Lessmann, PhD, Principal investigator, Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07447596
- Sponsor's protocol ID
- IIBSP-MLA-2024-05
- Status last verified
- Feb 2026
- First submitted
- 26 Feb 2026
- Last updated
- 3 Mar 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Bickel S, Popler J, Lesnick B, Eid N. Impulse oscillometry: interpretation and practical applications. Chest. 2014 Sep;146(3):841-847. doi: 10.1378/chest.13-1875.
PubMed 25180727Komarow HD, Myles IA, Uzzaman A, Metcalfe DD. Impulse oscillometry in the evaluation of diseases of the airways in children. Ann Allergy Asthma Immunol. 2011 Mar;106(3):191-9. doi: 10.1016/j.anai.2010.11.011. Epub 2011 Jan 6.
PubMed 21354020Oostveen E, MacLeod D, Lorino H, Farre R, Hantos Z, Desager K, Marchal F; ERS Task Force on Respiratory Impedance Measurements. The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J. 2003 Dec;22(6):1026-41. doi: 10.1183/09031936.03.00089403.
PubMed 14680096Schulz H, Flexeder C, Behr J, Heier M, Holle R, Huber RM, Jorres RA, Nowak D, Peters A, Wichmann HE, Heinrich J, Karrasch S; KORA Study Group. Reference values of impulse oscillometric lung function indices in adults of advanced age. PLoS One. 2013 May 15;8(5):e63366. doi: 10.1371/journal.pone.0063366. Print 2013.
PubMed 23691036
Study at a glance
From the registry record, last updated by the sponsor on 3 Mar 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
- ClinicalTrials.gov ID
- NCT07447596
- Acronym / sponsor ID
- IIBSP-MLA-2024-05
- Conditions
- Asthma COPD
- Study type
- Observational
- Recruitment status
- Recruiting
- Enrolment
- 50 participants (estimated)
- Lead sponsor
- Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant PauUniversity, hospital or other
- Study start
- 15 Oct 2025 (actual)
- Primary completion
- 15 Jul 2026 (estimated)
- Study completion
- 1 Sep 2026 (estimated)
- First posted
- 3 Mar 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Unicentric retrospective study designed to analyses the performance of various machine learning approaches to predict patterns of chronic respiratory diseases such as asthma, based mainly on clinical information and respiratory spirometry/oscillometry.
Detailed description
Impulse oscillometry is a technique that allows evaluation of pulmonary mechanics through the application of sound waves of different frequencies, collecting the oscillations produced in the patient in response. The use of mathematical algorithms in the interpretation of oscillometry improves the evaluation of pulmonary function. The aim of the present study is to evaluate machine learning approaches to recognize respiratory patterns of different diseases.
Study design
- Observational model
- Other
- Time perspective
- Retrospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Oscillometry | – | Other: 1Compare oscillometry results with spirometryClick to apply |
Who may qualify
- Ages
- 18 to 99 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Patients with asthma or COPD
Key inclusion criteria (3 listed)
- 18 - 90 years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Key exclusion criteria (1 listed)
- Acute respiratory infection
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| 1Compare oscillometry results with spirometryClick to apply | Other | Oscillometry |
Primary outcome
Oscillometric breathing pattern
Time frame: 1 year
Analyze results obtained
1 secondary outcome
Respiratory pattern spirometry
Time frame: 1 year
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Mar 2026.
- Results publication: PubMed 25180727Bickel S, Popler J, Lesnick B, Eid N. Impulse oscillometry: interpretation and practical applications. Chest. 2014 Sep;146(3):841-847. doi: 10.1378/chest.13-1875.
- Results publication: PubMed 21354020Komarow HD, Myles IA, Uzzaman A, Metcalfe DD. Impulse oscillometry in the evaluation of diseases of the airways in children. Ann Allergy Asthma Immunol. 2011 Mar;106(3):191-9. doi: 10.1016/j.anai.2010.11.011. Epub 2011 Jan 6.
- Results publication: PubMed 14680096Oostveen E, MacLeod D, Lorino H, Farre R, Hantos Z, Desager K, Marchal F; ERS Task Force on Respiratory Impedance Measurements. The forced oscillation technique in clinical practice: methodology, recommendations and future developments. Eur Respir J. 2003 Dec;22(6):1026-41. doi: 10.1183/09031936.03.00089403.
- Results publication: PubMed 23691036Schulz H, Flexeder C, Behr J, Heier M, Holle R, Huber RM, Jorres RA, Nowak D, Peters A, Wichmann HE, Heinrich J, Karrasch S; KORA Study Group. Reference values of impulse oscillometric lung function indices in adults of advanced age. PLoS One. 2013 May 15;8(5):e63366. doi: 10.1371/journal.pone.0063366. Print 2013.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Astrid Crespo-Lessmann, PhD principal investigator
Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Asthma COPD, run by Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau at 1 site in Spain.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 3 Mar 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Spain. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Astrid Crespo, PhD (+34-935565972, acrespo@santpau.cat), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Oscillometric breathing pattern (time frame: 1 year). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07447596, which also lists 4 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Mar 2026.