The goal of the present study is to evaluate whether voice or capnometry, alone or in combination with other (non-invasive) biomarkers, can be used to detect emphysema predominant COPD phenotype (>=25% emphysematous lung tissue).
ID
Source
Brief title
Condition
- Bronchial disorders (excl neoplasms)
Synonym
Research involving
Sponsors and support
Intervention
Outcome measures
Primary outcome
To evaluate whether voice or capnometry, alone or in combination with other
(non-invasive) biomarkers, can be used to classify emphysema predominant COPD
phenotype (>=25% emphysematous lung tissue). Study endpoints are: Emphysema
quantification (25% of voxels below *950HU on a HRCT scan), Voice
characteristics (see table 1), Capnometry (end-tidal CO2, Slp2 and Slp3) and
Emphysema Severity Index (FEF25, FEF25, FEF75)
Secondary outcome
- To evaluate if adding a blood biomarkers for emphysema (sRAGE) increases the
diagnostic accuracy of the classification model (< 25% or >= 25% emphysema)for
detecting emphysema phenotype COPD (>= 25% emphysema). Study endpoints are:
Emphysema quantification (25% of voxels below *950HU on a HRCT scan), Voice
characteristics (see table 1), Capnometry (end-tidal CO2, Slp2 and Slp3) and
Emphysema Severity Index (FEF25, FEF25, FEF75) , blood (sRAGE)
- To evaluate which lung function parameters increase the accuracy of the
classification model (< 25% or >= 25% emphysema). Outcomes: Emphysema
quantification: 25% percentage of voxels below *950HU on a HRCT scan. Study
endpoints are: Emphysema quantification (25% of voxels below *950HU on a HRCT
scan), Voice characteristics (see table 1), Capnometry (end-tidal CO2, Slp2
and Slp3) and Emphysema Severity Index (FEF25, FEF25, FEF75) , blood (sRAGE),
lung function: FEV1, FVC, FEV/FVC, TLC, FRC, RV, FRC/TLC, RV/TLC, TLCO,
- To evaluate if specific features extracted from speech are associated with
the percentage of emphysema on a chest CT scan from patients with COPD.
Endpoints are: Emphysema quantification (Percentage of voxels below *950HU on a
HRCT scan (range 0-100%)), voice features (see table 1)
- To evaluate if specific features extracted from the capnogram are associated
with the percentage of emphysema on a chest CT scan from patients with COPD.
Endpoints are: Emphysema quantification (Percentage of voxels below *950HU on a
HRCT scan (range 0-100%)),
Capnometry (End-tidal CO2, Slp2 and Slp3).
Background summary
Chronic obstructive pulmonary disease (COPD) consists of two main phenotypes;
airway predominant COPD and emphysema predominant COPD There are novel drugs in
the therapeutic pipeline that specifically target one of these two specific
phenotypes of COPD. To assist in drug development targeting specific COPD
phenotypes it is necessary to reliably distinguish between these two COPD
phenotypes.
The reference standard for diagnosing emphysema is the high-resolution computed
tomography (HRCT) scan. Emphysema is characterized by permanently enlarged air
spaces with destruction of alveolar walls that can be visualized as focal areas
of low attenuation on the HR-CT scan, often without visible walls. Though many
studies nowadays include CT scanning for emphysema screening, such screening
exposes participants to radiation. Alternatives to HRCT scanning are pulmonary
function testing, of which body plethysmography is most suitable for detecting
emphysema.. Static hyperinflation (high total lung capacity and residual
volume) are markers for emphysema but not sensitive enough to predict
emphysema. Moreover, the technique of performing body plethysmography requires
an experienced pulmonary function laboratory and the device itself is not
portable, which hampers scalability of these screening methods. Third, specific
blood biomarkers , such as sRAGE have been linked to emphysema, but their
diagnostic accuracy has not yet been tested and this would still require the
sampling of venous blood. Novel, easy-to-use and preferably non-invasive ways
are necessary to detect emphysema in patients with COPD.
Speech analysis might be a first of such novel diagnostics. Dyspnea and cough
are common symptoms in COPD patients, and are likely to affect the vocal
features of the individuals. Studies have shown that voice biomarkers can be
used to differentiate COPD from healthy controls, and changes in voice are
associated with changes in symptoms in COPD. Also emphysema has a specific
speech characteristics when patient breath at a certain pace, putatively
reflecting dynamic hyperinflation. Though certain speech characteristics are
associated with COPD, particularly with emphysema, it is not yet known whether
speech can be used to distinguish between the two COPD phenotypes.
Besides speech, time-based capnometry might be another non-invasive,
breathing-based, diagnostic method for the detection of emphysema. Capnometry
analyzes the pattern of carbon dioxide (CO2) eliminated from the lungs as a
function of time. It produces a curve, the capnogram, which represents the
total amount of CO2 eliminated by the lungs during each breath. Features
extracted from the capnogram, such as the Slope of phase 2 (Slp2) and Slope of
phase 3 (Slp3) have been demonstrated to relate to airway obstruction and may
provide useful information about the heterogeneous involvement of lung
structures in COPD.(9) Slp2 represents the rapid increase in CO2 coming from
short paths to alveoli; it comes immediately after the elimination of the air
from the dead space. Slp3 is an important feature of gas washout curves and
contains information about gas transport in the alveolated airways of the lung
periphery. In volumetric capnography, emphysema patients reportedly have lower
ETCO2, Slp2, and Slp3 compared to COPD patients with predominantly airway
disease, and might thus be useful biomarkers to distinguish the two phenotypes
in time capnography.
Study objective
The goal of the present study is to evaluate whether voice or capnometry, alone
or in combination with other (non-invasive) biomarkers, can be used to detect
emphysema predominant COPD phenotype (>=25% emphysematous lung tissue).
Study design
The present study will be a cross-sectional, single-center observational study
at the Department of Respiratory Medicine at Maastricht UMC+.
Study burden and risks
The present study will only include adult and capacitated patients with COPD
who are able to understand, read and write Dutch language. Risk and
inconveniences associated with this study are minimal and are limited to the
time investment associated with the non-invasive study measurements. The study
participants will undergo one venipuncture that poses a small risk of a local
hematoma, but is considered to be a very low risk procedure. The 5-STS is a
safe and low risk procedure for COPD patients to induce exercise(17) and might
be associated with feelings of dyspnea in those patients but this is generally
not considered as unpleasant (e.g. low BORG scores, < 4 on average).(18) The
NTC device that will be used in this study is a portable, handheld capnometer
(N-Tidal C Handset) through which patients can breathe freely without any
resistance, and will not be of substantial importance in diagnosing, curing,
mitigating, or treating disease, or otherwise preventing impairment of human
health in this study. The device used in this study will not otherwise present
a potential for serious risk to the health, safety, or welfare of a subject. We
will only include adult patients with stable disease and incapacitated patients
will not be able to participate.
P. Debyelaan 25
Maastricht 6202 AZ
NL
P. Debyelaan 25
Maastricht 6202 AZ
NL
Listed location countries
Age
Inclusion criteria
- Adults aged over 18 years
- current respiratory symptoms (any dyspnea, cough, or sputum)
- Spirometry-confirmed diagnosis of a non-fully reversible airflow obstruction
(defined as postbronchodilator FEV1/FVC < 0.7) and/or emphysema on imaging
- chest CT scan performed in the past 12 months before the start of the study
- able to understand, read and write Dutch language.
Exclusion criteria
- acute exacerbation of COPD within 8 weeks of start of the study
- comorbidities affecting speech or breathing coordination (neuromuscular
disease, CVA)
- comorbidities affecting speech characteristics of dyspnea (severe heart
failure, interstitial lung disease)
- comorbidities affecting respiratory system including but not exclusive to
asthma or cystic fibrosis
- Comorbidities that significantly interfere with interpretation of speech
(audio signals), such as Parkinson*s disease, bulbar palsy, or vocal cord
paralysis.
- inability to carry out a capnography recording.
- Investigator*s uncertainty about the willingness or ability of the patients
to comply with the protocol requirements.
- Participation in another study involving investigational products.
Participation in observational studies is allowed.
- Medical history of lobectomy or Endoscopic Long Volume Redcution (ELVR)
- BMI > 40
Design
Recruitment
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL83173.068.22 |