Accuracy of cobas MTB and MTB-RIF/INH for detection of M. tuberculosis and drug resistance.


Journal

The Journal of molecular diagnostics : JMD
ISSN: 1943-7811
Titre abrégé: J Mol Diagn
Pays: United States
ID NLM: 100893612

Informations de publication

Date de publication:
06 Jun 2024
Historique:
received: 24 01 2024
revised: 02 04 2024
accepted: 10 05 2024
medline: 9 6 2024
pubmed: 9 6 2024
entrez: 8 6 2024
Statut: aheadofprint

Résumé

This study evaluated the performance of cobas MTB and cobas MTB-RIF/INH for the diagnosis of tuberculosis (TB) and detection of rifampicin (RIF) and isoniazid (INH) resistance. Adults presenting with pulmonary TB symptoms were recruited in South Africa, Moldova and India. Performance of cobas MTB was assessed using culture as reference, while cobas MTB-RIF/INH was assessed using phenotypic drug susceptibility testing and whole genome sequencing as composite reference standards. Xpert MTB/RIF (Xpert) or Xpert MTB/RIF Ultra (Ultra) were used as comparators. The overall sensitivity and specificity of cobas MTB was 95% (95% CI, 93%-96%) and 96% (95% CI, 95%-97%). Among smear-negatives, sensitivity of cobas MTB was 75% (95% CI, 66%-83%). Among participants tested with both cobas MTB and Xpert, sensitivity was 96% (95% CI, 94%-97%) for cobas MTB and 95% (95% CI, 93%-97%) for Xpert. Among participants tested with both cobas MTB and Ultra, sensitivity was 88% (95% CI, 81%-92%) for cobas MTB and 89% (95% CI, 83%-93%) for Ultra. Sensitivity and specificity of cobas MTB-RIF/INH for RIF and INH detection was 90% (95% CI, 84%-94%) and 100% (95% CI, 99%-100), and 89% (95% CI, 84%-93%) and 99.5% (95% CI, 98%-100%). The cobas MTB and cobas MTB-RIF/INH assays exhibited high performance in a diverse population and present a suitable option for molecular detection of TB and both RIF and INH resistance.

Identifiants

pubmed: 38851386
pii: S1525-1578(24)00117-X
doi: 10.1016/j.jmoldx.2024.05.004
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Investigateurs

Nelly Ciobanu (N)
Sarabijt Singh Chadha (SS)
Alexandru Codreanu (A)
Dasarathi Das (D)
Trish Kahamba (T)
Itishree Kar (I)
Aurélien Macé (A)
Jyoti Mohanty (J)
Pamela Nabeta (P)
Katherina Kranzer (K)
Stefano Ongarello (S)
Archana Pattanaik (A)
Elena Romancenco (E)
Sanjay Sarin (S)
Lyndel Singh (L)
Sunita Singh (S)
Nadia Turcan (N)

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Margaretha de Vos (M)

FIND, Geneva, Switzerland. Electronic address: Margaretha.DeVos@finddx.org.

Anura David (A)

Wits Diagnostic Innovation Hub, Health Sciences Research Unit, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Darshaalini Nadarajan (D)

National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany.

Ecaterina Noroc (E)

Phtisipneumology Institute "Chiril Draganiuc", Chisinau, Republic of Moldova.

Adam Penn-Nicholson (A)

FIND, Geneva, Switzerland.

Valeriu Crudu (V)

Phtisipneumology Institute "Chiril Draganiuc", Chisinau, Republic of Moldova.

Sidhartha Giri (S)

ICMR- Regional Medical Research Centre, Bhubaneswar, India.

Florian P Maurer (FP)

National and WHO Supranational Reference Center for Mycobacteria, Research Center Borstel, Borstel, Germany; Institute of Medical Microbiology, Virology and Hospital Hygiene, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Sanghamitra Pati (S)

ICMR- Regional Medical Research Centre, Bhubaneswar, India.

Wendy Stevens (W)

Wits Diagnostic Innovation Hub, Health Sciences Research Unit, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa; The National Priority Program of the National Health Laboratory Service, Johannesburg, South Africa.

Lesley Scott (L)

Wits Diagnostic Innovation Hub, Health Sciences Research Unit, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Jyotimayee Turuk (J)

ICMR- Regional Medical Research Centre, Bhubaneswar, India.

Samuel G Schumacher (SG)

FIND, Geneva, Switzerland.

Morten Ruhwald (M)

FIND, Geneva, Switzerland.

Classifications MeSH