Evidence map›Paper›PMID 41562455›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Evaluating the Cepheid Xpert TB/LTBI Research-Use-Only Assay for Detection of Active and Latent Mycobacterium tuberculosis Infection.

Brittney Sweetser, Hoang Nguyen, Hai Dang, David Katumba, Tessa Mochizuki, Qiao Wang, Mangeni Wilson, Ha Phan, Patrick Phillips, Seda Yerlikaya and 5 more

Abstract readEvaluation StudyMulticenter StudyEvaluation Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Brittney SweetserDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, California, USA.ORCID 0000-0001-8655-2639
Hoang NguyenDepartment of Microbiology, Hanoi Lung Hospital, Hanoi, Vietnam.
Hai DangCenter for Promotion of Advancement of Society, Hanoi, Vietnam.
David KatumbaWorld Alliance for Lung and Intensive Care Medicine in Uganda (WALIMU), Kampala, Uganda.
Tessa MochizukiCenter for Tuberculosis, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.
Qiao WangDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, California, USA.ORCID 0000-0003-0064-8483
Mangeni WilsonWorld Alliance for Lung and Intensive Care Medicine in Uganda (WALIMU), Kampala, Uganda.
Ha PhanCenter for Promotion of Advancement of Society, Hanoi, Vietnam.
Patrick PhillipsCenter for Tuberculosis, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-6336-7024
Seda YerlikayaDepartment of Infectious Diseases and Tropical Medicine, Heidelberg University Hospital and Faculty of Medicine, Heidelberg University, Heidelberg, Germany.ORCID 0000-0002-6064-548X
Payam NahidCenter for Tuberculosis, Institute for Global Health Sciences, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-2811-1311
Claudia M DenkingerDepartment of Infectious Diseases and Tropical Medicine, Heidelberg University Hospital and Faculty of Medicine, Heidelberg University, Heidelberg, Germany.
Adithya CattamanchiDivision of Pulmonary Diseases and Critical Care Medicine, University of California Irvine, Irvine, California, USA.ORCID 0000-0002-6553-2601
William WorodriaDepartment of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.ORCID 0000-0002-8531-5567
R2D2 TB Network

Funding

Rapid Research for Diagnostics Development in TB Network (R2D2 TB Network)U01AI152087 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CATTAMANCHI, ADITHYA, DENKINGER, CLAUDIA MARIA · 2020 to 2024
$19.3M
CepheidNational Institute of Allergy and Infectious Diseases U01AI152087NIAID NIH HHS U01 AI152087
6 · The paper itself

Abstract

backgroundAccurate nonsputum tests are essential for improving tuberculosis (TB) detection. We report the first evaluation of the Xpert TB/LTBI assay (research-use-only; Cepheid, USA), which detects 9 Mycobacterium tuberculosis antigen-stimulated mRNA targets from blood.

methodsWe enrolled individuals ≥12 years with presumptive TB from clinics in Uganda and Vietnam. All participants underwent sputum- (liquid culture; Xpert MTB/RIF Ultra) and blood-based (Xpert TB/LTBI; QuantiFERON-TB Gold Plus [QFT-Plus]) testing. Participants were classified as having active TB (positive sputum results), latent TB infection (LTBI; positive QFT-Plus with negative sputum results), or no TB infection. Diagnostic accuracy for active TB (primary analysis) and of a 2-step algorithm that first predicted TB infection (active TB or LTBI) and then distinguished active TB from LTBI was assessed using logistic regression and receiver operating characteristic analysis.

resultsAmong 214 participants included, 56.5% were male, 9.3% were with HIV, 29.0% had active TB, and 31.8% had LTBI. Xpert TB/LTBI area under the curve (AUC) was 0.92 (95% CI: .88-.96) for identifying active TB, and sensitivity was 93.5% (95% CI: 84.6-97.5) and specificity 76.3% (95% CI: 69.0-82.4) at a cut-point that achieved ≥90% sensitivity. In the 2-step algorithm, Xpert TB/LTBI had high accuracy for identifying TB infection in the first step, but accuracy was lower for distinguishing active TB from LTBI in the second step.

conclusionsXpert TB/LTBI exceeded World Health Organization (WHO)-recommended minimum accuracy targets for a TB screening test. However, further refinement is needed to improve its ability to distinguish active TB from LTBI.

Indexed as

Latent TuberculosisMolecular Diagnostic TechniquesMycobacterium tuberculosisTuberculosisAdultAlgorithmsArea Under CurveDiagnosis, DifferentialFemaleHumansMaleMiddle AgedReproducibility of ResultsSensitivity and SpecificitySputumUgandadiagnosticspoint-of-care diagnosticsscreeningtriage

Identifiers

PMID41562455
PMCPMC13537147

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.