TuberculosisNCT02681445
Non-invasive TB Triage and Patient Mapping Platform Using Breath Via Low-Cost Titanium Dioxide Nanotube Sensor
An observational study of Tuberculosis, run by University of Utah at 1 site in India.
Trial summary
The purpose of this pilot study is to evaluate the sensitivity and specificity of a nanotube-based point-of-care breath-based tuberculosis screening test as compared to the current standards of care including sputum microscopy, sputum culture, chest X-ray, and GeneXpert (MTB/RIF). Read more about this study
- Who is it for?
- Ages 18 to 70 yearsHealthy volunteers can take part
- Conditions the study is for
- Tuberculosis
- What is being tested?
- Breath Collection
- Type of treatment
- Medical device
- How many people
- 810 participants
- Where
- 1 siteIndia
- Study dates
- Feb 2016to Nov 2017
- How long will I take part?
- 2 Years
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 70 years
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Study type: Observational feasibility study * Study population: Non-pregnant adults over the age of 18 from the areas around Mumbai, India. Based upon records of these clinical sites, about 5% to 7% of the patients reporting at these hospitals are suspected to be TB positive. * Endpoint: Estimate of the diagnostic accuracy of a POC TB biomarker breath test (sensitivity, specificity). * Phase: Phase I (feasibility or pilot study) * Study sites: Multicenter trial (4 clinical sites in Mumbai, India) * Study groups: 5 * Sample Size (approx): 800 * Estimated enrollment time: 1 year
Who may be able to join
- No TB Symtoms No history of TB Negative Mantoux test Normal Chest X-ray HIV Negative
Who cannot join
- Prior history of TB
Trial locations and contacts
1 site in 1 country.
About this study
The purpose of this pilot study is to evaluate the sensitivity and specificity of a nanotube-based point-of-care breath-based tuberculosis screening test as compared to the current standards of care including sputum microscopy, sputum culture, chest X-ray, and GeneXpert (MTB/RIF).
The primary objective is to determine an initial estimate of the sensitivity and specificity of a nano-tube based point-of-care test for the diagnosis and screening of active pulmonary tuberculosis.
Secondary objectives include the collection of user data to test and further develop the screening platform based on end-user feedback.
Read the detailed description
TB is an infectious disease caused by various strains of mycobacteria. It typically infects the lungs and is spread through the air when an infected patient sneezes, coughs, or spits. When this occurs, the TB bacilli are propelled into the air in droplets that can remain suspended for long periods of time. An individual simply needs to inhale a small amount of bacilli to become infected.
Conventional methods for TB detection and diagnosis are traditionally performed in laboratories or hospitals. For example, the most common method for diagnosis of TB is the acid fast staining of a sputum sample which is then followed by a sputum smear microscopy test. However a disadvantage with the sputum smear test is its poor sensitivity, which is estimated to be at 70%. Additionally, the sensitivity of sputum smear spectroscopy in field settings has been shown to be much lower (35%), especially in populations that have high rates of TB and HIV coinfection. Culturing of mycobacterium from sputum samples is a more sensitive technique. Sputum samples are collected and cultured in either solid media or liquid media looking for the presence of the mycobacterium. However this methodology takes time to conduct (3-4 weeks for solid cultures, and 10-14 days for liquid cultures), which makes it difficult to employ in low resource settings that are typically far from testing facilities.
Recently, other technologies have been developed including fluorescence microscopy for smear tests (10% more sensitive than light microscopy), LED fluorescent microscopy for inexpensive imaging equipment that can be used in the field without the need for a darkroom, and rapid culturing techniques to reduce incubation time. Despite all the improvements that have been made in TB diagnosis, no simple inexpensive POC test is currently available. The techniques mentioned above either focus on variations of microscopy or culture technique. In either case, these methods require lab facilities and highly trained personnel that typically are not available in many rural or low resource areas.
Recent research has shown that various strains of the mycobacteria produce distinct gaseous volatile biomarkers that can be used as a methodology for detecting and identifying the mycobacterium. Specifically, Syhre and Chambers found that Mycobacterium tuberculosis and Mycobacterium bovis cultures give off four specific volatile organic biomarkers (VOBs): methyl phenylacetate, methyl p-anisate, methyl nicotinate, and o-phenylanisole. These compounds were detectable before the visual appearance of colonies, which could have implications in detection of latent TB infection. Syhre et al. were able to detect statistically significant differences of methyl nicotinate in the breath of smear positive TB patients when compared to healthy (smear negative) subjects. Analyses in these studies were done using gas chromatography/mass spectroscopy analysis tools. While they are effective in identifying and quantifying complex gas samples, they are expensive, bulky, and not appropriate for point of care (POC) diagnostics.
These challenges associated with the diagnosis of TB are significant as TB is the second leading cause of death due to a single infectious organism and is responsible for 1.3 million deaths annually (over 3,500 every day), according to the WHO. Overall, an estimated 2 billion people are currently infected worldwide with 8.6 million new active infections occurring each year.[8] Each of these individuals can transmit the disease to 10 to 15 people per year and face a mortality rate of 50% if untreated. The economic burden of TB is staggering as the World Bank estimates that high burden countries can lose up to 7% of GDP due to productivity losses from TB patients and their caretakers. It is so critical that the World Bank committed $100 million to testing for and treating TB in India in 2014 alone.
Of the 8.6 million new active TB cases that occur annually, the WHO estimates that roughly 3 million of these patients are 'missed' and do not receive the diagnosis or care they need. One of the primary reasons for this gap is delays in accessing TB-related care or long lead times for diagnostic tests. As a result, developing new large scale screening tests (also known as triage or 'rule out' tests) are particularly needed due to the fact that up to 80% of people tested for TB do not have active disease, stretching the limited and valuable resources that are devoted for diagnostic testing. As a result, FIND, a world leader in guiding and coordinating research and development for diseases such as TB, ranked the development of new screening tests as one of the top 3 priorities in the fight against TB.
This pilot study will be conducted to determine if a newly developed sensing methodology for screening TB at the POC based on volatile biomarkers is feasible through the use of a low cost solid-state sensor using functionalized 3D TiO2 nanotube arrays that bind the volatile biomarkers. If the clinical sensitivity is sufficient, this technology could provide a means for identifying many of the 'missed' TB patients and allow testing resources and efforts to be focused on those at the highest risk of having the disease.
Previously, we have tested the breath profile of a small number patients from local TB clinics and have confirmed the presence of these biomarkers in their breath (IRB_0065207). Larger patients studies are now required to gain an estimate of the sensitivity and specificity to determine the potential of using the sensor as a screening test. This study will be conducted in Mumbai, India with the University's Research Electronic Data Capture (REDCap) system used to securely collect and store the data from this study.
This study has been reviewed and approved by the Mahatma Gandhi Mission Institute of Health Sciences Ethical Committee for Research on Human Subjects and Scientific Advisory Committee.
- Conditions
- Tuberculosis
- Being tested
- Breath Collection
- Medical subject headings
- Tuberculosis
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Breath CollectionDevice
breath will be collected from patients in breath bag for analysis for observational study.
| Study group | Role | What they receive |
|---|---|---|
| Group 1 Healthy Non Smokers | No TB Symptoms No TB History Negative Mantoux test Normal Chest X-ray Non-Smoker Receives: Device: Breath Collection | |
| Group-2 Smokers | No TB History No TB Symptoms No TB History Negative Mantoux test Smoker 10 + Cigarettes/day Receives: Device: Breath Collection | |
| HIV Positive | No TB Symptoms No TB History Negative Mantoux test Normal Chest X-ray HIV Positive
CD4 count >200 Receives: Device: Breath Collection | |
| TB Suspect Group | WHO Screening Recommendation Protocls Unexplained Cough Sputum production Fever Weight Loss or loss of appetite Night Sweats Receives: Device: Breath Collection | |
| Lower Respiratory Track Infection | TB Lab test Negative Ab Normal Chest X-ray HIV Negative Receives: Device: Breath Collection |
What is being measured
The primary outcome is the main question the study is designed to answer.
Correlation of sensor ability to detect breath biomarkers for TB
Assess feasability of TB sensor to detect breath biomarkers from patients.
Measured: 12 Months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted12 Feb 2016 (estimated)
- Study startFeb 2016
- Primary completionNov 2017
- Study completionNov 2017
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for TuberculosisStudies of the same condition, open and under way.
- More trials run by University of UtahThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 810 participants (actual)
- Target duration
- 2 Years
Sponsor and investigators
- Lead sponsor
- University of Utah
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Swomitra Mohanty, University of Utah
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02681445
- Sponsor's protocol ID
- 00088349
- Status last verified
- Jan 2018
- First submitted
- 9 Feb 2016
- Last updated
- 1 Feb 2018
- Results posted
- No
- Data monitoring committee
- Yes
Study at a glance
From the registry record, last updated by the sponsor on 1 Feb 2018. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Non-invasive TB Triage and Patient Mapping Platform Using Breath Via Low-Cost Titanium Dioxide Nanotube Sensor
- ClinicalTrials.gov ID
- NCT02681445
- Acronym / sponsor ID
- 00088349
- Conditions
- Tuberculosis
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 810 participants (actual)
- Lead sponsor
- University of UtahUniversity, hospital or other
- Study start
- Feb 2016 (actual)
- Primary completion
- Nov 2017 (actual)
- Study completion
- Nov 2017 (actual)
- First posted
- 12 Feb 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The purpose of this pilot study is to evaluate the sensitivity and specificity of a nanotube-based point-of-care breath-based tuberculosis screening test as compared to the current standards of care including sputum microscopy, sputum culture, chest X-ray, and GeneXpert (MTB/RIF).
The primary objective is to determine an initial estimate of the sensitivity and specificity of a nano-tube based point-of-care test for the diagnosis and screening of active pulmonary tuberculosis.
Secondary objectives include the collection of user data to test and further develop the screening platform based on end-user feedback.
Detailed description
TB is an infectious disease caused by various strains of mycobacteria. It typically infects the lungs and is spread through the air when an infected patient sneezes, coughs, or spits. When this occurs, the TB bacilli are propelled into the air in droplets that can remain suspended for long periods of time. An individual simply needs to inhale a small amount of bacilli to become infected.
Conventional methods for TB detection and diagnosis are traditionally performed in laboratories or hospitals. For example, the most common method for diagnosis of TB is the acid fast staining of a sputum sample which is then followed by a sputum smear microscopy test. However a disadvantage with the sputum smear test is its poor sensitivity, which is estimated to be at 70%. Additionally, the sensitivity of sputum smear spectroscopy in field settings has been shown to be much lower (35%), especially in populations that have high rates of TB and HIV coinfection. Culturing of mycobacterium from sputum samples is a more sensitive technique. Sputum samples are collected and cultured in either solid media or liquid media looking for the presence of the mycobacterium. However this methodology takes time to conduct (3-4 weeks for solid cultures, and 10-14 days for liquid cultures), which makes it difficult to employ in low resource settings that are typically far from testing facilities.
Recently, other technologies have been developed including fluorescence microscopy for smear tests (10% more sensitive than light microscopy), LED fluorescent microscopy for inexpensive imaging equipment that can be used in the field without the need for a darkroom, and rapid culturing techniques to reduce incubation time. Despite all the improvements that have been made in TB diagnosis, no simple inexpensive POC test is currently available. The techniques mentioned above either focus on variations of microscopy or culture technique. In either case, these methods require lab facilities and highly trained personnel that typically are not available in many rural or low resource areas.
Recent research has shown that various strains of the mycobacteria produce distinct gaseous volatile biomarkers that can be used as a methodology for detecting and identifying the mycobacterium. Specifically, Syhre and Chambers found that Mycobacterium tuberculosis and Mycobacterium bovis cultures give off four specific volatile organic biomarkers (VOBs): methyl phenylacetate, methyl p-anisate, methyl nicotinate, and o-phenylanisole. These compounds were detectable before the visual appearance of colonies, which could have implications in detection of latent TB infection. Syhre et al. were able to detect statistically significant differences of methyl nicotinate in the breath of smear positive TB patients when compared to healthy (smear negative) subjects. Analyses in these studies were done using gas chromatography/mass spectroscopy analysis tools. While they are effective in identifying and quantifying complex gas samples, they are expensive, bulky, and not appropriate for point of care (POC) diagnostics.
These challenges associated with the diagnosis of TB are significant as TB is the second leading cause of death due to a single infectious organism and is responsible for 1.3 million deaths annually (over 3,500 every day), according to the WHO. Overall, an estimated 2 billion people are currently infected worldwide with 8.6 million new active infections occurring each year.[8] Each of these individuals can transmit the disease to 10 to 15 people per year and face a mortality rate of 50% if untreated. The economic burden of TB is staggering as the World Bank estimates that high burden countries can lose up to 7% of GDP due to productivity losses from TB patients and their caretakers. It is so critical that the World Bank committed $100 million to testing for and treating TB in India in 2014 alone.
Of the 8.6 million new active TB cases that occur annually, the WHO estimates that roughly 3 million of these patients are 'missed' and do not receive the diagnosis or care they need. One of the primary reasons for this gap is delays in accessing TB-related care or long lead times for diagnostic tests. As a result, developing new large scale screening tests (also known as triage or 'rule out' tests) are particularly needed due to the fact that up to 80% of people tested for TB do not have active disease, stretching the limited and valuable resources that are devoted for diagnostic testing. As a result, FIND, a world leader in guiding and coordinating research and development for diseases such as TB, ranked the development of new screening tests as one of the top 3 priorities in the fight against TB.
This pilot study will be conducted to determine if a newly developed sensing methodology for screening TB at the POC based on volatile biomarkers is feasible through the use of a low cost solid-state sensor using functionalized 3D TiO2 nanotube arrays that bind the volatile biomarkers. If the clinical sensitivity is sufficient, this technology could provide a means for identifying many of the 'missed' TB patients and allow testing resources and efforts to be focused on those at the highest risk of having the disease.
Previously, we have tested the breath profile of a small number patients from local TB clinics and have confirmed the presence of these biomarkers in their breath (IRB_0065207). Larger patients studies are now required to gain an estimate of the sensitivity and specificity to determine the potential of using the sensor as a screening test. This study will be conducted in Mumbai, India with the University's Research Electronic Data Capture (REDCap) system used to securely collect and store the data from this study.
This study has been reviewed and approved by the Mahatma Gandhi Mission Institute of Health Sciences Ethical Committee for Research on Human Subjects and Scientific Advisory Committee.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Target follow-up
- 2 Years
- Number of arms
- 5
| Arm | Type | Receives |
|---|---|---|
| Group 1 Healthy Non Smokers | – | Device: Breath CollectionNo TB Symptoms No TB History Negative Mantoux test Normal Chest X-ray Non-Smoker |
| Group-2 Smokers | – | Device: Breath CollectionNo TB History No TB Symptoms No TB History Negative Mantoux test Smoker 10 + Cigarettes/day |
| HIV Positive | – | Device: Breath CollectionNo TB Symptoms No TB History Negative Mantoux test Normal Chest X-ray HIV Positive CD4 count >200 |
| TB Suspect Group | – | Device: Breath CollectionWHO Screening Recommendation Protocls Unexplained Cough Sputum production Fever Weight Loss or loss of appetite Night Sweats |
| Lower Respiratory Track Infection | – | Device: Breath CollectionTB Lab test Negative Ab Normal Chest X-ray HIV Negative |
Who may qualify
- Ages
- 18 to 70 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Study type: Observational feasibility study * Study population: Non-pregnant adults over the age of 18 from the areas around Mumbai, India. Based upon records of these clinical sites, about 5% to 7% of the patients reporting at these hospitals are suspected to be TB positive. * Endpoint: Estimate of the diagnostic accuracy of a POC TB biomarker breath test (sensitivity, specificity). * Phase: Phase I (feasibility or pilot study) * Study sites: Multicenter trial (4 clinical sites in Mumbai, India) * Study groups: 5 * Sample Size (approx): 800 * Estimated enrollment time: 1 year
Key inclusion criteria (1 listed)
- No TB Symtoms No history of TB Negative Mantoux test Normal Chest X-ray HIV Negative
Key exclusion criteria (1 listed)
- Prior history of TB
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Breath Collectionbreath will be collected from patients in breath bag for analysis for observational study. | Device | Group 1 Healthy Non Smokers, Group-2 Smokers, HIV Positive, Lower Respiratory Track Infection, TB Suspect Group |
Primary outcome
Correlation of sensor ability to detect breath biomarkers for TB
Time frame: 12 Months
Assess feasability of TB sensor to detect breath biomarkers from patients.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Feb 2018.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Tuberculosis, run by University of Utah at 1 site in India.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 1 Feb 2018. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in India. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Correlation of sensor ability to detect breath biomarkers for TB (time frame: 12 Months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Feb 2018.