Clinical trial Recruiting at 2 sites Observational Ages 12 and up

Using cough sounds to identify tuberculosis

Official title: Automated Smartphone-based Cough Audio Classification for Rapid Tuberculosis Triage Testing (Cough Audio triaGE for TB; CAGE-TB)

Run by University of Stellenbosch · NCT05317247 · Data updated 2026-11-12

This study is testing a smartphone app that listens to cough sounds to see if it can help identify tuberculosis in people who have been coughing for more than two weeks.

Quick facts

Study typeObservational
Ages12 Years and up
SexAll
Enrollment1751 (estimated)
SponsorUniversity of Stellenbosch
Academic / other
Locations2 sites (Cape Town, Western Cape and 1 other locations)
StatusRecruiting
StartedApril 19, 2022
Main results expectedJune 2026
Study endsDecember 30, 2027
Registry record updatedMay 6, 2026
Trial IDNCT05317247 on ClinicalTrials.gov

Is this trial a fit for you?

Likely a good fit

Ideal candidates are individuals aged 12 and older who have a cough lasting more than two weeks and are willing to provide informed consent.

Probably not a fit

Patients who have received TB treatment in the past 60 days or those unable to provide a sputum specimen will not benefit from this study.

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study evaluates the potential of a smartphone application that analyzes cough audio to triage patients for tuberculosis (TB) detection. Participants aged 12 and older with a cough lasting more than two weeks will be recruited from healthcare clinics in high-burden settings. The study consists of two phases: the first phase collects data to train a machine learning algorithm, while the second phase validates the algorithm's performance with a larger participant group. The goal is to develop a reliable cough audio classifier that meets World Health Organization criteria for TB triage tests.

Why it matters

Potential benefit: If successful, this approach could significantly improve the speed and accuracy of TB diagnosis, leading to timely treatment and better patient outcomes.

How similar studies have gone: While the use of cough audio classification for TB detection is a novel approach, similar technologies in other areas of diagnostics have shown promise, indicating potential for success.

Who can join: the full rules

Show full inclusion / exclusion criteria
Inclusion Criteria:

* participant must be at least 12 years old
* participant must have a prolonged cough (for at least two weeks)
* participant must provide informed consent
* participant shall have a known HIV status or be willing to undergo standard of care HIV testing and counseling

Exclusion Criteria:

* individuals who refuse informed consent
* individuals who have received treatment for TB in the 60 days prior to enrolment
* individuals who are unable to provide a sputum specimen for microbiological testing
* individuals who have haemoptysis or a bloody cough with any forced coughs for audio recordings

Where it's running

  • Stellenbosch University
    Cape Town, Western Cape, South Africa
    Recruiting
  • Makerere University
    Kampala, Kampala, Uganda
    Recruiting

Study contacts

  • Principal investigator: Grant Theron, PhD — University of Stellenbosch
  • Study coordinator: Grant Theron, PhD
  • Email: gtheron@sun.ac.za
  • Phone: +27 21 9389693

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.