Oscillometry and Machine Learning Approaches | NCT07447596

Studies
Oscillometry and Machine Learning Approaches

NCT07447596

Sponsor

Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau

Status

Recruiting

Last Update Posted

Mar 3, 2026Actual

Enrollment

50Estimated

Phase

Not provided

Conditions

Asthma COPD

Interventions

Countries

Spain

Protocol Section

Identification Module Status Module Sponsor/Collaborators Module Oversight Module Description Module Conditions Module Design Module Arms/Interventions Module Outcomes Module Eligibility Module Contacts/Locations Module References Module IPD Sharing Statement Module

Results Section

Participant Flow Module Baseline Characteristics Module Outcome Measures Module Adverse Events Module More Info Module

Annotation Section

Annotation Module

Document Section

Large Document Module

Derived Section

Miscellaneous Info Module Condition Browse Module Intervention Browse Module

Protocol Section

Identification Module

NCT ID

Results Section

No data available

No data is available for this block.

Annotation Section

No data available

No data is available for this block.

Document Section

No data available

No data is available for this block.

Derived Section

Miscellaneous Info Module

Version Holder

Status Module

Record Verification Date

Feb 2026

Overall Recruitment Status or Expanded Access Status

Recruiting

Last Known Status

Not provided

Delayed Posting

Not provided

Why Stopped

Not provided

Expanded Access Info

Start Date

Oct 15, 2025Actual

Primary Completion Date

Jul 15, 2026Estimated

Completion Date

Sep 1, 2026Estimated

First Submitted Date

Feb 26, 2026

First Submission Date that Met QC Criteria

Feb 26, 2026

First Posted Date

Mar 3, 2026Actual

Results Waived

Not provided

Results First Submitted Date

Not provided

Results First Submitted that Met QC Criteria

Not provided

Results First Posted Date

Not provided

Certification/Extension (aka Delayed Results) First Submitted Date

Not provided

Certification/Extension First Submitted that Passed QC Review

Not provided

Certification/Extension First Posted Date

Not provided

Last Update Submitted Date

Feb 26, 2026

Last Update Posted Date

Mar 3, 2026Actual

Oversight Module

Has Data Monitoring Committee (DMC)

Is FDA Regulated Drug

Is FDA Regulated Device

Is Unapproved Device

Not provided

Pediatric Postmarket Surveillance of a Device Product

Not provided

Product Exported from US

Not provided

FDAAA801 Violation

Not provided

Description Module

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.

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.

Design Module

Study Type

Observational

Number of References to an Expanded Access Study

Not provided

Expanded Access Types

Not provided

Patient Registry

Target Follow-Up Duration

Not provided

Phases

Not provided

Interventional Study Design

Allocation

Not provided

Intervention Model

Biospecimen

No data available

No data is available for this block.

Enrollment

50Estimated

Arms/Interventions Module

Arm Groups

Label	Type	Description	Intervention Names
Oscillometry		Compare oscillometry results with spirometryClick to apply	Other: 1

Interventions

Name	Type	Description	Arm Group Labels	Other Names
1	Other	Compare oscillometry results with spirometryClick to apply	Oscillometry

Outcomes Module

Primary Outcomes

Measure	Description	Time Frame
Oscillometric breathing pattern	Analyze results obtained	1 year

Secondary Outcomes

Measure	Description	Time Frame
Respiratory pattern spirometry	Forced expiratory volume in 1 second	1 year

Other Outcomes

Not provided

Eligibility Module

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

Accepts Healthy Volunteers

Yes

Sex

All

Sex/Gender Based

Not provided

Sex/Gender Description

Not provided

Minimum Age

18 Years

Maximum Age

99 Years

Standard Ages

AdultOlder Adult

Study Population

Patients with asthma or COPD

Sampling Method

Non-Probability Sample

Contacts/Locations Module

Central Contacts

Name	Role	Phone	Extension	Email
Astrid Crespo, PhD	Contact	+34-935565972		acrespo@santpau.cat
Astrid Crespo-Lessmann, PhD	Contact	+34-935565972		acrespo@santpau.cat

Overall Officials

Name	Affiliation	Role
Astrid Crespo-Lessmann, PhD	Fundació Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau	Principal Investigator

Locations

Facility	Status	City	State	ZIP	Country	Contacts
Hospital de la Santa Creu i Sant Pau	Recruiting	Barcelona		08041	Spain

References Module

Citations

PubMed Identifier	Type	Citation	Retractions
25180727	Result	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.
21354020	Result	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.