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Tuberculosis Diagnostic Trial of CAD4TB Screening Alone Compared to CAD4TB Screening Combined With a CRP Triage Test, Both Followed by Confirmatory Xpert MTB/RIF Ultra in Communities of Lesotho and South Africa

Tuberculosis Diagnostic Trial of CAD4TB Screening Alone Compared to CAD4TB Screening Combined With a CRP Triage Test, Both Followed by Confirmatory Xpert MTB/RIF Ultra in Communities of Lesotho and South Africa

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05526885
Enrollment
20000
Registered
2022-09-02
Start date
2022-09-07
Completion date
2024-12-31
Last updated
2025-09-22

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Tuberculosis

Keywords

Lesotho, South Africa, community-based, tuberculosis, active case findings, cost-effectiveness, CAD4TB, POC-CRP, Xpert MTB/RIF Ultra, triage, screening

Brief summary

According to WHO, about 40% of the incident TB cases in 2020 are either under-reported or under-diagnosed causing on one hand major health risks and on the other hand catastrophic financial consequences. In particular, indigent people in hard-to-reach communities with high TB/HIV burden are at high risk of missed or delayed diagnoses. Hence, active case finding for TB remains an integral part of tuberculosis control in high-risk groups, such as people living with HIV (PLHIV) or diabetes mellitus, people living in specific geographical locations associated with a high burden of TB and poor access to health care, miners, or prisoners. CAD4TB (Delft Imaging, NL), a digital chest X-ray analysis software, and point-of care C-reactive protein assay (POC-CRP; e.g. LumiraDx, UK), which detects a cytokine induced acute phase protein, are two tests which have great potential of becoming a screening and triage test for TB as outlined in the WHO target product profiles. Data on CAD4TB and CRP suggest that accuracy can be improved if thresholds are stratified by patient characteristics, such as HIV status, history of TB and TB symptoms. TB TRIAGE+ Trial takes place in the communities of Lesotho and South Africa, which present high prevalence of subclinical TB, where a symptom-based screening would miss almost half of all infectious TB cases. TB TRIAGE+ Trials conducts a direct (in the same individual) comparison of the two screening/triaging approaches which are not based on symptoms: CAD4TB screening alone (approach 1) versus CAD4TB screening with POC-CRP triage testing (approach 2), and followed by confirmatory Xpert MTB/RIF Ultra testing in both approaches. TB TRIAGE TRIAL is investigates the hypothesis that a community-based active case finding strategy with CAD4TB screening with POC-CRP triage testing (approach 2) will be non-inferior compared to CAD4TB screening alone (approach 1) with regard to yield of detected TB cases and superior with regard to cost effectiveness.

Interventions

DIAGNOSTIC_TESTCAD4TB

A posterior anterior digital chest X-ray incoporated in a mobile diagnostic unit is analysed by CAD4TB version 7 (Delft Imaging, NL). A trained and qualified person in compliance with national regulations will operate the digital chest X-ray.

DIAGNOSTIC_TESTPOC-CRP

A quantitative POC-CRP LumiraDx (LumiraDx Limited, UK) triage test will be performed by finger-prick if CAD4TB scores is within the defined threshold window of study approach 2 triage testing

DIAGNOSTIC_TESTXpert MTB/RIF Ultra

Depending on CAD4TB (approach 1 & 2) or POC-CRP score (approach 2) a confirmatory Xpert MTB/RIF Ultra(Cepheid, USA) rapid sputum molecular testing follows for both Mycobacterium tuberculosis complex and rifampicin resistance;

Sponsors

SolidarMed
CollaboratorOTHER
Institute of Tropical Medicine, Belgium
CollaboratorOTHER
Radboud University Medical Center
CollaboratorOTHER
Charite University, Berlin, Germany
CollaboratorOTHER
Human Sciences Research Council
CollaboratorOTHER_GOV
Klaus Reither
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
SINGLE_GROUP
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

In this study a paired screen-positive design is used to directly compare two screening/triage approaches in the same individual based on a paired analysis: CAD4TB screening only (approach 1) versus CAD4TB screening with POC-CRP triage algorithm (approach 2).

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Willing and able to provide signed written consent or witnessed oral consent in the case of illiteracy, prior to undertaking any study-related procedure * Adults (≥18 years)

Exclusion criteria

* Any condition for which participation in the study, as judged by the investigator or a designated staff member, could compromise the well-being of the subject or prevent, limit or confound protocol specified assessments * Seriously ill person who needs immediate medical care * Current anti-TB treatment (preventive TB treatment permitted) * Lesotho only: Pregnancy (self-reported)

Design outcomes

Primary

MeasureTime frame
Yield of detected TB cases per study approach: number of positive Xpert MTB/RIF Ultra results per screening approach.24 Months
Cost-effectiveness of the CAD4TBv7-CRP approach using the CAD4TBv7 approach as a comparator: the costs for each positive Xpert Ultra case detected in the CAD4TBv7-CRP approach compared to the CAD4TBv7 approach24 Months

Secondary

MeasureTime frame
Extension of primary outcome: Cost-effectiveness of the CAD4TBv7-CRP approach and the CAD4TBv7 approach compared to passive case finding: cost per TB case detected24 Months
Equity analysis: 1. Socioeconomic status of households with actively detected TB cases compared to those with passively detected TB cases and to households with no TB cases: wealth quintiles distribution, income distribution and main source of income24 Months
Equity analysis: 2. Average out of pocket payments (OOP) associated with accessing TB treatment for households with identified TB cases across different wealth quintiles24 months
Health impact: The expected number of identified TB cases via passive case finding if the active case finding campaign had not taken place will be compared to the number of cases identified in the campaign24 months

Countries

Lesotho, South Africa

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 6, 2026