Accuracy of the tuberculosis molecular bacterial load assay to diagnose and monitor response to anti-tuberculosis therapy: a longitudinal comparative study with standard-of-care smear microscopy, Xpert MTB/RIF Ultra, and culture in Uganda.


Journal

The Lancet. Microbe
ISSN: 2666-5247
Titre abrégé: Lancet Microbe
Pays: England
ID NLM: 101769019

Informations de publication

Date de publication:
05 Mar 2024
Historique:
received: 15 07 2022
revised: 18 09 2023
accepted: 31 10 2023
medline: 9 3 2024
pubmed: 9 3 2024
entrez: 8 3 2024
Statut: aheadofprint

Résumé

In 2018, the tuberculosis molecular bacterial load assay (TB-MBLA), a ribosomal RNA-based test, was acknowledged by WHO as a molecular assay that could replace smear microscopy and culture for monitoring tuberculosis treatment response. In this study, we evaluated the accuracy of TB-MBLA for diagnosis and monitoring of treatment response in comparison with standard-of-care tests. For this longitudinal prospective study, patients aged 18 years or older with presumptive tuberculosis (coughing for at least 2 weeks, night sweats, and weight loss) were enrolled at China-Uganda Friendship Hospital Naguru (Kampala, Uganda). Participants were evaluated for tuberculosis by TB-MBLA in comparison with Xpert MTB/RIF Ultra (Xpert-Ultra) and smear microscopy, with Mycobacteria Growth Indicator Tube (MGIT) culture as a reference test. Participants who were positive on Xpert-Ultra were enrolled on a standard 6-month anti-tuberculosis regimen, and monitored for treatment response at weeks 2, 8, 17, and 26 after initiation of treatment and then 3 months after treatment. Between Nov 15, 2019, and June 15, 2022, 210 participants (median age 35 years [IQR 27-44]) were enrolled. 135 (64%) participants were male and 72 (34%) were HIV positive. The pretreatment diagnostic sensitivities of TB-MBLA and Xpert-Ultra were similar (both 99% [95% CI 95-100]) but the specificity was higher for TB-MBLA (90% [83-96]) than for Xpert-Ultra (78% [68-86]). Ten participants were Xpert-Ultra trace positive, eight (80%) of whom were negative by TB-MBLA and MGIT culture. Smear microscopy had lower diagnostic sensitivity (75% [65-83]) but higher specificity (98% [93-100]) than TB-MBLA and Xpert-Ultra. Among participants who were smear microscopy negative, the sensitivity of TB-MBLA was 96% (95 CI 80-100) and was 100% (95% CI 86-100) in those who were HIV positive. 129 (61%) participants were identified as tuberculosis positive by Xpert-Ultra and these individuals were enrolled in the treatment group and monitored for treatment response. According to TB-MBLA, 19 of these patients cleared bacillary load to zero by week 2 of treatment and remained negative throughout the 6-month treatment follow-up. Positivity for tuberculosis decreased with treatment as measured by all tests, but the rate was slower with Xpert-Ultra. Consequently, 31 (33%) of 95 participants were still Xpert-Ultra positive at the end of treatment but were clinically well and negative on TB-MBLA and culture at 6 months of treatment. Two patients were still Xpert-Ultra positive with a further 3 months of post-treatment follow-up. The rate of conversion to negative of the DNA-based Xpert-Ultra was 3·3-times slower than that of the rRNA-based TB-MBLA. Consequently for the same patient, it would take 13 weeks and 52 weeks to reach complete tuberculosis negativity by TB-MBLA and Xpert-Ultra, respectively. Participants who were positive on smear microscopy at 8 weeks, who received an extra month of intensive treatment, had a similar TB-MBLA-measured bacillary load at 8 weeks to those who were smear microscopy negative. TB-MBLA has a similar performance to Xpert-Ultra for pretreatment diagnosis of tuberculosis, but is more accurate at detecting and characterising the response to treatment than Xpert-Ultra and standard-of-care smear microscopy. European and Developing Countries Clinical Trials Partnership, Makerere University Research and Innovation Fund, US National Institutes of Health.

Sections du résumé

BACKGROUND BACKGROUND
In 2018, the tuberculosis molecular bacterial load assay (TB-MBLA), a ribosomal RNA-based test, was acknowledged by WHO as a molecular assay that could replace smear microscopy and culture for monitoring tuberculosis treatment response. In this study, we evaluated the accuracy of TB-MBLA for diagnosis and monitoring of treatment response in comparison with standard-of-care tests.
METHODS METHODS
For this longitudinal prospective study, patients aged 18 years or older with presumptive tuberculosis (coughing for at least 2 weeks, night sweats, and weight loss) were enrolled at China-Uganda Friendship Hospital Naguru (Kampala, Uganda). Participants were evaluated for tuberculosis by TB-MBLA in comparison with Xpert MTB/RIF Ultra (Xpert-Ultra) and smear microscopy, with Mycobacteria Growth Indicator Tube (MGIT) culture as a reference test. Participants who were positive on Xpert-Ultra were enrolled on a standard 6-month anti-tuberculosis regimen, and monitored for treatment response at weeks 2, 8, 17, and 26 after initiation of treatment and then 3 months after treatment.
FINDINGS RESULTS
Between Nov 15, 2019, and June 15, 2022, 210 participants (median age 35 years [IQR 27-44]) were enrolled. 135 (64%) participants were male and 72 (34%) were HIV positive. The pretreatment diagnostic sensitivities of TB-MBLA and Xpert-Ultra were similar (both 99% [95% CI 95-100]) but the specificity was higher for TB-MBLA (90% [83-96]) than for Xpert-Ultra (78% [68-86]). Ten participants were Xpert-Ultra trace positive, eight (80%) of whom were negative by TB-MBLA and MGIT culture. Smear microscopy had lower diagnostic sensitivity (75% [65-83]) but higher specificity (98% [93-100]) than TB-MBLA and Xpert-Ultra. Among participants who were smear microscopy negative, the sensitivity of TB-MBLA was 96% (95 CI 80-100) and was 100% (95% CI 86-100) in those who were HIV positive. 129 (61%) participants were identified as tuberculosis positive by Xpert-Ultra and these individuals were enrolled in the treatment group and monitored for treatment response. According to TB-MBLA, 19 of these patients cleared bacillary load to zero by week 2 of treatment and remained negative throughout the 6-month treatment follow-up. Positivity for tuberculosis decreased with treatment as measured by all tests, but the rate was slower with Xpert-Ultra. Consequently, 31 (33%) of 95 participants were still Xpert-Ultra positive at the end of treatment but were clinically well and negative on TB-MBLA and culture at 6 months of treatment. Two patients were still Xpert-Ultra positive with a further 3 months of post-treatment follow-up. The rate of conversion to negative of the DNA-based Xpert-Ultra was 3·3-times slower than that of the rRNA-based TB-MBLA. Consequently for the same patient, it would take 13 weeks and 52 weeks to reach complete tuberculosis negativity by TB-MBLA and Xpert-Ultra, respectively. Participants who were positive on smear microscopy at 8 weeks, who received an extra month of intensive treatment, had a similar TB-MBLA-measured bacillary load at 8 weeks to those who were smear microscopy negative.
INTERPRETATION CONCLUSIONS
TB-MBLA has a similar performance to Xpert-Ultra for pretreatment diagnosis of tuberculosis, but is more accurate at detecting and characterising the response to treatment than Xpert-Ultra and standard-of-care smear microscopy.
FUNDING BACKGROUND
European and Developing Countries Clinical Trials Partnership, Makerere University Research and Innovation Fund, US National Institutes of Health.

Identifiants

pubmed: 38458206
pii: S2666-5247(23)00367-1
doi: 10.1016/S2666-5247(23)00367-1
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests WSa and SHG provide pro bono advice for LifeArc, a company that is developing TB-MBLA for clinical use. All other authors declare no competing interests.

Auteurs

Emmanuel Musisi (E)

Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK; Infectious Diseases Research Collaboration, Kampala, Uganda.

Samuel Wamutu (S)

Department of Biochemistry and Sports Sciences, Makerere University, Kampala, Uganda.

Willy Ssengooba (W)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda.

Sharifah Kasiinga (S)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Abdulwahab Sessolo (A)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Ingvar Sanyu (I)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Sylvia Kaswabuli (S)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Josephine Zawedde (J)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Patrick Byanyima (P)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Praiscillia Kia (P)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.

William Muwambi (W)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.

Divine Tracy Toskin (DT)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.

Edgar Kigozi (E)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda.

Natasha Walbaum (N)

Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.

Evelin Dombay (E)

Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.

Mate Bonifac Legrady (MB)

School of Chemistry, University of St Andrews, St Andrews, UK.

Kizza David-Martin Ssemambo (KD)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda.

Moses Joloba (M)

BSL-3 Mycobacteriology Laboratory, Department of Medical Microbiology, School of Biomedical Sciences, College of Health Sciences, Makerere University, Kampala, Uganda; Medical and Molecular Laboratories (MML), Kampala, Uganda.

Davis Kuchaka (D)

Kilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.

William Worodria (W)

Infectious Diseases Research Collaboration, Kampala, Uganda.

Laurence Huang (L)

Infectious Diseases Research Collaboration, Kampala, Uganda; Division of Pulmonary and Critical Care Medicine and Division of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco, San Francisco, CA, USA.

Stephen H Gillespie (SH)

Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK.

Wilber Sabiiti (W)

Division of Infection and Global Health, School of Medicine, University of St Andrews, St Andrews, UK. Electronic address: ws31@st-andrews.ac.uk.

Classifications MeSH