Actively Recruiting
Cough Audio Classification as a TB Triage Test
Led by University of Stellenbosch · Updated on 2026-05-06
1751
Participants Needed
2
Research Sites
297 weeks
Total Duration
On this page
Sponsors
U
University of Stellenbosch
Lead Sponsor
A
Amsterdam Institute for Global Health and Development
Collaborating Sponsor
AI-Summary
What this Trial Is About
TB is the single biggest infectious cause of death (1.5 million died in 2018), killing more HIV-positive people than any other disease, and is arguably the most important poverty-related disease in the world. TB's estimated incidence in Africa has been declining over recent years but progress is slow and plateauing. To avert stagnation, truly innovative and ambitious technologies are needed, especially those that improve case finding and time-to-diagnosis as, in mathematical models based on the TB care cascade framework, interventions that accomplish this will have the most impact on disrupting population-level transmission, including when deployed at facilities where patients are readily accessible. Critically, these interventions (triage tests) must promote access to confirmatory testing (e.g., Xpert MTB/RIF Ultra) by enabling patients to be referred rapidly and efficiently during the same visit. The investigators will optimise and evaluate a technology that, aside from the investigators early case-controlled study to show feasibility, is hitherto not meaningfully investigated for TB. This gap is alarming given, on one hand, the enormity of the TB epidemic and the need for a triage test and, on the other hand, promising proofs-of-concept that demonstrate high diagnostic accuracy of cough audio classifier for respiratory diseases such as pneumonia, asthma. pertussis, croup, and COPD. In some cases, these classification systems are CE-marked, awaiting FDA-approval, and subject to late-stage clinical trials. This demonstrates the promise of the underlying technological principle. CAGE-TB's innovation is further enhanced by: applying advanced machine learning methods that the team have specifically developed for TB patient cough audio analysis, use of mixed methods research - drawing from health economics, implementation science, and medical anthropology - to inform product design and assess barriers and facilitators to implementation, and uniquely for a TB diagnostic test, its potential deployment as a pure mHealth (smartphone-based) innovation that mitigates many barriers that typically jeopardise TPP criteria fulfilment.
CONDITIONS
Official Title
Cough Audio Classification as a TB Triage Test
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Participant must be at least 12 years old
- Participant must have a cough lasting at least two weeks
- Participant must provide informed consent
- Participant must have a known HIV status or be willing to undergo HIV testing and counseling
You will not qualify if you...
- Refusal to provide informed consent
- Received tuberculosis treatment within 60 days prior to enrollment
- Unable to provide a sputum sample for microbiological testing
- Presence of blood in cough or coughing up blood during forced coughs for audio recording
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 2 locations
1
Stellenbosch University
Cape Town, Western Cape, South Africa, 7505
Actively Recruiting
2
Makerere University
Kampala, Kampala, Uganda, 7062
Actively Recruiting
Research Team
G
Grant Theron, PhD
CONTACT
D
Daphne Naidoo, Hons
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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