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RECRUITING
NCT05825261

Exploring Novel Biomarkers for Emphysema Detection

Sponsor: Maastricht University

View on ClinicalTrials.gov

Summary

The goal of this clinical trial is to evaluate whether voice or capnometry, alone or in combination with other (non invasive) biomarkers can be used to detect emphysema on chest CT-scan in people with chronic obstructive pulmonary disease (COPD). The main question it aims to answer is: • Can a machine-learning based algorithm be developed that can classify the extent of emphysema on chest CT scan from patients with COPD, based on voice and/or capnometry. Participants will: * perform different voice-related tasks * perform capnometry twice (before/after exercise) * perform a light exercise task between tasks ( 5-sit-to-stand test) * undergo one venipuncture

Official title: Exploring Novel Biomarkers for Emphysema Detection: the ENBED Study

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

200

Start Date

2023-09-07

Completion Date

2026-05

Last Updated

2025-06-13

Healthy Volunteers

No

Conditions

Interventions

OTHER

voice sampling

Patients with COPD will perform several voice-related tasks and capnometry at rest. Thereafter a 5-STS will follow and the voice-related task/capnometry will be repeated

OTHER

capnometry

Patients with COPD will perform several voice-related tasks and capnometry at rest. Thereafter a 5-STS will follow and the voice-related task/capnometry will be repeated

Locations (2)

Dept of Respiratory Medicine, Maastricht University Medical Centre

Maastricht, Limburg, Netherlands

Laurentius Ziekenhuis

Roermond, Limburg, Netherlands