Asthma Clinical Trial
Official title:
Application of Nanotechnology and Chemical Sensors for Lung Diseases by Respiratory Samples
The investigators assume that by analysis of different volatile organic compounds in the breath, using nanotechnology, the investigators will be able to identify a unique respiratory signature of different diseases including asthma, chronic obstructive pulmonary disease (COPD) and pulmonary hypertension.
Five groups of patients will be included in the study; each group will include 50-75
patients:
Group -1 - Healthy volunteer, will use as a control. Group -2 - Patients diagnosed as having
diastolic heart failure with normal pulmonary artery pressure by echocardiography.
Group - 3 - Patients diagnosed with diastolic heart failure and out of proportion pulmonary
hypertension confirm by right heart failure.
Group - 4 - Patients diagnosed with chronic obstructive lung disease. Group- 5 Patients
diagnosed with asthma Demographic and clinical data will be collected for each patient.
Exhaled alveolar air will be collected from each test groups. Samples will be collected
using a breath collection method developed according to the recommendations of the American
Thoracic Society, which effectively avoids artifacts and systematic errors. Two bags will be
collected from each person tested: One for gas chromatograph analysis, and another one for
analysis with the sensor array.
In order to achieve a artificial nose that has high sensitivity towards the unique breath
markers of patients with specific disease, we will follow a 5-phase approach. In phase-1 we
will collect suitable breath samples from each patient and compare the patient data to
age-adjusted healthy controls. In phase-2 we will analyze the collected breath samples with
the electronic nose setup. These breath samples are our training set. In phase-3 we will
carry out auxiliary chemical analysis, using gas-chromatography linked with mass
spectrometry of the breath samples under different aspects. Phase-4 will aim at the
improvement of our electronic nose setup and will be conducted in parallel to the first
three phases. The main steps of this phase will include:
- Improvement of the performance of the constituent sensors in terms of sensitivity and
selectivity to the specific diseases biomarkers. The main parameter for sensor
improvement will be the choice of the organic functionalities of the nanomaterials
composes the sensors.
- Optimization of the choice of sensors in the array. For choosing the sensors we do not
have to physically replace them, but can carry out the statistical analysis of the
output of particular sub-groups of sensors in the array, instead of the output of all
sensors. Based on the results of the gas chromatograph mass spectrometer chemical
analysis, we will improve and optimize our sensor array so as to achieve: (i) maximum
sensitivity to the breath biomarkers of the studied diseases and their stage dependent
concentration profiles; (ii) minimum sensitivity to non-disease related changes of the
chemical composition of the breath and (iii) minimum sensitivity to the major
ingredients of the breath, such as water vapor. Technically, we aim at good
reproducibility of the sensor fabrication. We will attempt to improve separation
between the test groups by more sophisticated statistical treatment of the collected
data. Towards the end of this proof-of-concept study we will compare the performance of
our sensor array to the diagnosis according to clinical symptoms. The comparison will
be done in terms of true positive, true negative, false positive, false negative,
sensitivity and specificity.
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Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Diagnostic
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