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The Identification of Different Lung Diseases by Analysis of Volatile Organic Compounds in Breath Samples (PHNOSE)

The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. Identifier: NCT01631162
Recruitment Status : Unknown
Verified June 2012 by Carmel Medical Center.
Recruitment status was:  Recruiting
First Posted : June 29, 2012
Last Update Posted : June 29, 2012
Information provided by (Responsible Party):
Carmel Medical Center

Brief Summary:
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.

Condition or disease Intervention/treatment Phase
Asthma Chronic Obstructive Lung Disease Other: Breath sample in all patients Not Applicable

Detailed Description:

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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Study Type : Interventional  (Clinical Trial)
Estimated Enrollment : 500 participants
Allocation: N/A
Intervention Model: Single Group Assignment
Masking: None (Open Label)
Primary Purpose: Diagnostic
Official Title: Application of Nanotechnology and Chemical Sensors for Lung Diseases by Respiratory Samples
Study Start Date : May 2012
Estimated Primary Completion Date : December 2014
Estimated Study Completion Date : June 2015

Resource links provided by the National Library of Medicine

Arm Intervention/treatment
No Intervention: lung disease Other: Breath sample in all patients
Breath sample will be collected by a special nylon bag
Other Name: Breath samples for electronic nose

Primary Outcome Measures :
  1. Volatile organic compounds signature measured by mass spectrometer and electronic signal measured by the electronic nose, difference between the study groups at one and 12 months [ Time Frame: up to 12 months ]

Information from the National Library of Medicine

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Ages Eligible for Study:   18 Years to 80 Years   (Adult, Older Adult)
Sexes Eligible for Study:   All
Accepts Healthy Volunteers:   Yes

Inclusion Criteria

  1. Diagnosis of asthma according to the American Thoracic Society guidelines.
  2. Diagnosis of chornic obstructive pulmonary disease according to the American Thoracic Society, guidelines.
  3. Diagnosis of pulmoanry hypertension according to the American Thoracic Society guidelins
  4. Age-18-85 year old

Exclusion criteria

  1. known carriers of infectious diseases: HIV, hepatitis B, C
  2. pregnancy
  3. History of lung cancer

Information from the National Library of Medicine

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.

Please refer to this study by its identifier (NCT number): NCT01631162

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Contact: Yochai Adir, MD 972-4-8250517 YOCHAIAD@CLALIT.ORG.IL

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Carmel Medical Center Recruiting
Haifa, Israel, 34362
Contact: Sharon Monshter    972-4-8250515   
Sub-Investigator: Michal Shteinberg, MD         
Sponsors and Collaborators
Carmel Medical Center
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Study Director: Amer Ubaid Carmel Medical Center
Principal Investigator: Yochai Adir, PI Carmel Medical Center
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Responsible Party: Carmel Medical Center Identifier: NCT01631162    
Other Study ID Numbers: CMC-11-0052-CTIL
First Posted: June 29, 2012    Key Record Dates
Last Update Posted: June 29, 2012
Last Verified: June 2012
Keywords provided by Carmel Medical Center:
Additional relevant MeSH terms:
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Lung Diseases
Lung Diseases, Obstructive
Pulmonary Disease, Chronic Obstructive
Respiratory Tract Diseases