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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.
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20,000 participants in 2 patient groups
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Aita Signorell, PhD; Klaus Reither, MD, PhD
Data sourced from clinicaltrials.gov
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