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Rapid Research in Diagnostics Development for TB Network (R2D2 Kids) and Assessing Diagnostics At POC for TB in Children (ADAPT for Kids)
Sponsor: University of California, San Francisco
Summary
Every year there are an estimated 230,000 childhood deaths from TB. There is an urgent need for novel tests for TB diagnosis in children under 15 years. The Rapid Research in Diagnostics Development for TB Network (R2D2 Kids) and the Assessing Diagnostics at Point-of-care for Tuberculosis in children (ADAPT for Kids) studies seek to reduce the burden of TB worldwide by evaluating faster, simpler, and less expensive TB triage and diagnostic tests for use in children.
Official title: Rapid Research in Diagnostics Development for Tuberculosis Network (R2D2 Kids) and Assessing Diagnostics At Point-of-care for Tuberculosis in Children (ADAPT for Kids)
Key Details
Gender
All
Age Range
Any - 65 Years
Study Type
INTERVENTIONAL
Enrollment
2100
Start Date
2024-01-26
Completion Date
2026-09-01
Last Updated
2026-03-11
Healthy Volunteers
Yes
Conditions
Interventions
Oral swab molecular testing
Swab-based testing provides a non-invasive approach to collect respiratory specimens for TB testing. Data in adults suggests that swab-based testing could be valuable when sputum collection is not feasible or available.
Automated Cough Sound Analysis
Cough sounds can be collected through a mobile phone and tablet, and then analyzed with machine learning algorithms to predict TB.
Automated Lung Sound Analysis
Lung sounds can be collected with a non-invasive digital stethoscope, and then saved on a tablet or phone and analyzed by machine learning algorithms to predict TB.
Chest X Ray Computer Aided Detection
Several artificial intelligence algorithms have been developed to predict TB, though this has not yet been validated in children.
Locations (3)
Instituto Nacional de Saúde
Maputo, Mozambique
Dora Nginza Hospital
Cape Town, South Africa
Mulago National Referral Hospital
Kampala, Uganda