Candidate Clinical Correlate of Prognostic Outcome for TB Study

ConditionTuberculosis
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age12+
SponsorUniversity of California, San Francisco

About this trial

As part of the ongoing efforts within the Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) study, the Candidate Clinical Correlate as Prognostic Outcome for TB (C3PO) study serves as a supplement aimed at evaluating predictors and novel biomarkers of recurrent TB among TB survivors. Current tools for predicting TB recurrence risk are suboptimal, limiting the ability to assess new TB treatment regimens effectively. Identifying accurate sputum- or blood-based biomarkers for recurrence risk could significantly improve the efficiency and informativeness of Phase 2 and 3 clinical trials.

Eligibility criteria

This trial does not accept healthy volunteers

Qualifiers

. individuals age ≥ 12 years;

. have completed treatment for drug-susceptible tuberculosis with the standard 6-month regimen of isoniazid, rifampin, pyrazinamide, and ethambutol (HRZE).

Disqualifiers

completed treatment for drug-susceptible tuberculosis >14 days prior to screening/enrollment;

routinely taking any medication with anti-mycobacterial activity (including fluoroquinolones) for any reason not related to tuberculosis treatment within the last 14 days;

unwilling to provide informed consent or return for study follow-up visits.

Trial population

The study population consists of individuals receiving programmatic treatment for drug-sensitive tuberculosis (TB) at participating outpatient TB clinics in Uganda and Vietnam. Eligible participants will be selected from among TB patients actively receiving care at these clinical sites.

Trial design

Design model

Cohort

Time perspective

Prospective

Treatments tested in this trial

  • RS ratio

    Diagnostic test

    We will evaluate the non-culture, sputum-based assay RS ratio, which measures ongoing Mycobacterium tuberculosis activity by quantifying the abundance of precursor rRNA relative to mature rRNA (an indicator of active rRNA synthesis).

  • Blood-based host immune response assays

    Diagnostic test

    We will evaluate blood-based assays measuring host immune response parameters for predicting mycobacterial activity.

Treatment groups

No treatment groups listed

Trial outcomes

Primary outcomes

1

Recurrent tuberculosis (TB)

Recurrent tuberculosis (TB), defined as a new episode of microbiologically confirmed TB occurring after completion of treatment for a prior drug-sensitive TB episode. Recurrence will be identified through routine study visits during the one year follow-up, with microbiological confirmation based on sputum mycobacterial culture.

Time frame
1 year
2

Prognostic accuracy of novel biomarkers in predicting recurrent TB

We will evaluate the ability of selected novel biomarkers to predict recurrent TB using the following metrics: Area Under the Curve (AUC): Measures the overall discriminatory ability of the biomarkers to distinguish between individuals who will and will not experience recurrent TB. Sensitivity and Specificity: Sensitivity indicates how accurately the biomarkers identify individuals who will develop recurrent TB, while specificity reflects how well they identify those who will not. Positive Predictive Value (PPV) and Negative Predictive Value (NPV): PPV represents the proportion of individuals with a positive biomarker result who actually develop recurrent TB, while NPV reflects the proportion with a negative result who remain recurrence-free. Kappa Statistic: Assesses the agreement between predicted outcomes based on the biomarkers and the actual observed outcomes, accounting for agreement occurring by chance.

Time frame
1 year

Secondary outcomes

Other outcomes

Sponsors and contacts

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University of California, San Francisco

Lead sponsor

University of California, Irvine

Collaborator

University of Colorado, Denver

Collaborator

National Institute of Allergy and Infectious Diseases (NIAID)

Collaborator