RecruitingNot ApplicableNCT05989802

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

Rapid Research in Diagnostics Development for Tuberculosis Network (R2D2 Kids) and Assessing Diagnostics At Point-of-care for Tuberculosis in Children (ADAPT for Kids)


Sponsor

University of California, San Francisco

Enrollment

2,100 participants

Start Date

Jan 26, 2024

Study Type

INTERVENTIONAL

Conditions

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.


Eligibility

Max Age: 65 Years

Inclusion Criteria17

  • 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.

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Interventions

DIAGNOSTIC_TESTOral 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.

DIAGNOSTIC_TESTAutomated Cough Sound Analysis

Cough sounds can be collected through a mobile phone and tablet, and then analyzed with machine learning algorithms to predict TB.

DIAGNOSTIC_TESTAutomated 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.

OTHERChest 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

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NCT05989802


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