Oscillometry and Machine Learning Approaches
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: 1.
- Who it may be relevant to
- Registry conditions: Asthma COPD. Basic parameters: 18 years — 99 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- Spain
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Unsure about the terms? Read our patient guide →
Official title
Feasibility Study of Forced Oscillometry in the Prediction of Chronic Respiratory Diseases Using Machine Learning Approaches
Overview
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.
Interventions
- Other 1
Compare oscillometry results with spirometryClick to apply
Primary outcome measures
- Oscillometric breathing pattern [Time frame: 1 year]
Secondary outcome measures (1)
- Respiratory pattern spirometry [Time frame: 1 year]
Eligibility criteria
Inclusion criteria
- 18 - 90 years
- Spirometry available
- Confirmed clinical diagnosis of COPD, asthma, interstitial lung disease according to national or international guidelines
Exclusion criteria
- Acute respiratory infection
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Observational model
- Other
Study locations
Spain · 1 center
- Hospital de la Santa Creu i Sant Pau — Barcelona
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. PMID 25180727
- Komarow 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 21354020
- Oostveen 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 14680096
- Schulz 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 23691036
Identifiers
NCT: NCT07447596 · IIBSP-MLA-2024-05