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Exploring Novel Biomarkers for Emphysema Detection
Sponsor: Maastricht University
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
Interventions
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
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