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An electronic-nose (e-nose) is being investigated as a diagnostic tool for tuberculosis by examining exhaled breath of the patients. Universitas Gadjah Mada has developed an e-nose device for TB diagnostic tool. Here the investigators test the device in order to analyze the sensitivity and specificity electronic-nose as a screening tool for tuberculosis particularly in remote area. Various factors (gender, age, race, and location) are considered in the algorithm training to develop an inclusive eNose. Access barriers, especially those faced by women, are also assessed.
Full description
The study population consists of 2 groups:
Group 1 - presumptive TB patients. Group 2 - residents of area with high risk of TB.
Study participants provide written informed consent. The participants are asked to breathe normally using a mask for 2 times then inhale and exhale in a forced expiratory volume to the air collecting bag until the collecting bag is full (two times). The collecting bag is sealed and connected to the e-nose machine via a collecting hose and HEPA-filter protecting the e-nose from microbes. The breath pattern will be recorded in the e-nose device, which is connected to a laptop that will display the recorded breath pattern. Other data are collected: clinical symptoms, results of chest X-ray, smear microscopic, and Xpert MTB/Rif examinations.
Demographic (gender, age, race, and location) and clinical data (symptoms, physical examination, laboratory examinations) are collected. Access barriers, especially for women, are also assessed through questionnaire and interviews.
Enrollment
Sex
Ages
Volunteers
Inclusion and exclusion criteria
Validation Phase (Group 1):
Screening Phase (Group 2):
Adult and children
Agree to participate in the study
Able to produce exhaled air samples
Currently not in TB treatment
Invalid measurements of breath tests
Incomplete CXR data
Missing specimens
Unable to breath normally for 2 minutes due to respiratory illness
Primary purpose
Allocation
Interventional model
Masking
1,778 participants in 1 patient group
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Central trial contact
Antonia Saktiawati, MD, PhD
Data sourced from clinicaltrials.gov
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