Oscillometry and Machine Learning Approaches
Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
1 other identifier
observational
50
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Oct 2025
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 15, 2025
CompletedFirst Submitted
Initial submission to the registry
February 26, 2026
CompletedFirst Posted
Study publicly available on registry
March 3, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 15, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
September 1, 2026
March 3, 2026
February 1, 2026
9 months
February 26, 2026
February 26, 2026
Conditions
Outcome Measures
Primary Outcomes (1)
Oscillometric breathing pattern
Analyze results obtained
1 year
Secondary Outcomes (1)
Respiratory pattern spirometry
1 year
Study Arms (1)
Oscillometry
Compare oscillometry results with spirometryClick to apply
Interventions
Eligibility Criteria
Patients with asthma or COPD
You may qualify if:
- years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
You may not qualify if:
- Acute respiratory infection
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hospital de la Santa Creu i Sant Pau
Barcelona, 08041, Spain
Related Publications (4)
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.
PMID: 25180727RESULTKomarow 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.
PMID: 21354020RESULTOostveen 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.
PMID: 14680096RESULTSchulz 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.
PMID: 23691036RESULT
Study Officials
- PRINCIPAL INVESTIGATOR
Astrid Crespo-Lessmann, PhD
Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 26, 2026
First Posted
March 3, 2026
Study Start
October 15, 2025
Primary Completion (Estimated)
July 15, 2026
Study Completion (Estimated)
September 1, 2026
Last Updated
March 3, 2026
Record last verified: 2026-02