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NCT Number: NCT05989802

Rapid Research in Diagnostics Development for TB Network (R2D2 Kids) and Assessing Diagnostics At POC for TB in Children (ADAPT for Kids)

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.

Recruiting

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Key information

Age range

Up to 65 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Instituto Nacional de Saúde, Maputo, Mozambique

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About this study

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 will rigorously assess promising, point-of-care (POC) TB diagnostic tests in clinical studies conducted among children at settings of intended use. There is an urgent need for novel tests for TB diagnosis in children under 15 years because of the challenge of obtaining sputum samples from children and the low sputum bacillary burden among children with TB even when a sample is obtained. This creates delays in diagnosis and treatment initiation, and is a major contributor to the 230,000 childhood deaths from TB each year. Therefore, a non-sputum biomarker-based test has been ranked among the highest priority target product profiles for new TB diagnostics. If inexpensive and simple to perform, such a diagnostic tool could have significant impact by facilitating rapid diagnosis and TB treatment in children. The studies will evaluate the sensitivity and specificity of novel diagnostic tests in children in reference to NIH consensus definitions for childhood TB. In addition, the usability and acceptability of the novel TB diagnostic tests will be assessed through direct observations and surveys of routine health workers.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Participant eligibility criteria:

Participants will include children (age <15 years) who present to care with:

A. 2 or more of the following:

  • Unexplained cough for any duration
  • TB contact or tuberculin skin test or interferon gamma release assay positive
  • Abnormal chest X-ray (any abnormality) OR

B. Any one of criteria A AND any one of the following:

  • Unexplained weight loss OR unexplained failure to thrive OR Severe Acute Malnutrition
  • Unexplained fever ≥2 weeks
  • Unexplained lethargy or reduced playfulness ≥2 weeks

The study will exclude participants who:

  • Completed preventive or active TB treatment within the past 12 months (to increase TB prevalence and reduce false-positive results, respectively);
  • Have taken any medication with anti-mycobacterial activity for any reason for greater than 3 days at the time of enrollment (to reduce false-negatives);
  • Are unable to return for follow-up visits; or
  • Whose parents/guardians are unwilling to provide informed consent or who are unwilling to provide assent if applicable (age determined by local IRB)

Assessment of the usability of novel TB tests:

The study will also include health workers at each clinical site who are 1) aged ≥18 years and 2) involved in routine TB testing (collecting specimens for or performing TB tests). Personnel who are unwilling to provide informed consent will be excluded.

Treatment and study plan

Oral swab molecular testing

Diagnostic Test

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

Diagnostic Test

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

Diagnostic Test

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

Other

Several artificial intelligence algorithms have been developed to predict TB, though this has not yet been validated in children.

Other names: Artificial Intelligence algorithm

Primary outcomes

  1. Proportion with positive index test result among participants with tuberculosis (TB)

    Time frame: 2 years

    Sensitivity - Number with positive index test result/(Number with positive or negative index t test result) among participants with TB. TB will be defined based on a microbiological reference standard (sputum mycobacterial culture results)

  2. Proportion with negative index test result among participants without tuberculosis (TB)

    Time frame: 2 years

    Specificity - Number with negative index test results/(Number with positive or negative index t test result) among participants without TB. TB will be defined based on a microbiological reference standard (sputum mycobacterial culture results)

Study contacts

Contact information is provided by the study sponsor or research team.

Brittney Sweetser, MPH

CONTACT

[email protected]

Devan Jaganath, MD

CONTACT

[email protected]

415-514-4692

Sponsors and collaborators

Lead sponsor

University of California, San Francisco

Other

Collaborators

  • Elizabeth Glaser Pediatric AIDS Foundation
  • Instituto Nacional de Saúde, Mozambique
  • Johns Hopkins University
  • National Institute of Allergy and Infectious Diseases (NIAID)
  • National Referral Hospital
  • University of California, Irvine
  • University of Cape Town

Registry information

Official study 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)

Important dates

Study start
2024
Primary completion
2026
Study completion
2026
First posted
Aug 14, 2023
Registry last updated
Mar 11, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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