Evidence map›Paper›PMID 40297690›Full record

ArticleResearch square2025

Waste to Worth: A diagnostic accuracy of Xpert MTB/XDR on contaminated liquid cultures to salvage the detection of drug-resistant tuberculosis.

Yonas Ghebrekristos, Erick Auma, Zama Mahlobo, Rouxjeane Venter, Natalie Beylis, Jay Achar, Brigitta Derendinger, Sarishna Singh, Megan Burger, Christoffel Opperman and 2 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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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0citing papers 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yonas GhebrekristosDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Erick AumaDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Zama MahloboDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Rouxjeane VenterDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Natalie BeylisDivision of Medical Microbiology, Department of Pathology, University of Cape Town, Cape Town, South Africa.
Jay AcharDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Brigitta DerendingerDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Sarishna SinghNational Health Laboratory Service, Greenpoint Tuberculosis Laboratory, Cape Town, South Africa.
Megan BurgerDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Christoffel OppermanNational Health Laboratory Service, Greenpoint Tuberculosis Laboratory, Cape Town, South Africa.
Robin WarrenDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.
Grant TheronDSI-NRF Centre of Excellence for Biomedical Tuberculosis Research, and SAMRC Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics,Faculty of Medicine and Health Sciences, Stellenbosch University, Tygerberg, Cape Town, South Africa.

Funding

The Center for Innovation in Point-of-Care Technologies for HIV/AIDS atNorthwestern University (C-THAN) Supplemental RequestU54EB027049 · NIBIB · NORTHWESTERN UNIVERSITY · PI Chad J Achenbach, SALLY Maureen MCFALL · 2018 to 2026
$24.0M
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
HIV and Mycobacterial Disease in MaliD43TW010350 · FIC · UNIV OF SCIENCES, TECH & TECH OF BAMAKO · PI MAIGA, ALMOUSTAPHA ISSIAKA, MURPHY, ROBERT LEO · 2016 to 2025
$3.0M
Pre- and post-treatment lung microbiota, metabolome and immune signatures at the site of disease in patients with active pulmonary tuberculosisR01AI136894 · NIAID · STELLENBOSCH UNIVERSITY · PI THERON, GRANT DE VOS · 2019 to 2023
$678k
FIC NIH HHS D43 TW010350NIAID NIH HHS R01 AI136894NIAID NIH HHS U01 AI152087NIBIB NIH HHS U54 EB027049
6 · The paper itself

Abstract

Introduction: Mycobacterium Growth Indicator Tube (MGIT) 960 culture is critical for tuberculosis (TB) drug susceptibility testing (DST) but vulnerable to contamination. We evaluated the accuracy of Xpert MTB/XDR, a molecular DST for isoniazid, fluoroquinolone, amikacin, and ethionamide, on to-be-discarded contaminated growth. Methods: Xpert MTB/XDR was applied to acid-fast bacilli-negative contaminated cultures from sputum from people with rifampicin-resistant TB when Xpert MTB/XDR on sputum was unsuccessful (not resistant or susceptible for all drugs) 1) at diagnosis (Cohort A) or 2) during treatment monitoring (Cohort B). Future DSTs within three months served as a reference standard. We determined potential care cascade improvements. Results: In Cohort A, 10% (66/650) of people were culture-contaminated. 89% (59/66) were contaminated growth Xpert MTB/XDR TB-positive. Sensitivity and specificity for isoniazid, fluoroquinolone, amikacin, and ethionamide resistance were 100% [95% confidence interval (CI) 85, 100] and 100% (79, 100), 100% (59, 100) and 100% (89, 100), 100% (16, 100) and 100% (91, 100), and 100% (72, 100) and 96% (78, 100), respectively. In Cohort B, 22% (28/129) of people with a contaminated culture were Xpert MTB/XDR TB-positive. Of these, 57% (16/28), 7% (2/28), and 43% (12/28) were isoniazid-, fluoroquinolone-, and ethionamide-resistant (in 2, 1, and 4 people respectively, this would be the first resistant result). In both cohorts, time-to-DST could improve a median (IQR) of 22 (12-42) days. Conclusion: Xpert MTB/XDR on contaminated MGIT960 cultures had high sensitivity and specificity for DST. This approach could mitigate culture contamination's negative effects and improve gaps in the drug-resistant TB diagnostic cascade.

Indexed as

contaminated culturesdrug susceptibility testingtuberculosisXpert MTB/XDR

Identifiers

PMID40297690
PMCPMC12036451

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