Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement
Date Issued
2023-01-01
Author(s)
Domínguez, J.
Boeree, M. J.
Cambau, E.
Chesov, D.
Conradie, F.
Cox, V.
Dheda, K.
Dudnyk, A.
Farhat, M. R.
Grobusch, M. P.
Gröschel, M. I.
Guglielmetti, L.
Kontsevaya, I.
Lange, B.
van Leth, F.
Lienhardt, C.
Mandalakas, A. M.
Maurer, F. P.
Merker, M.
Miotto, P.
Molina-Moya, B.
Morel, F.
Niemann, S.
Veziris, N.
Whitelaw, A.
Horsburgh, C. R.
Jr.,
Lange, C.
TBnet,
Resist-TB, networks
DOI
10.1016/s1473-3099(22)00875-1
Abstract
Drug-resistant tuberculosis is a substantial health-care concern worldwide. Despite culture-based methods being considered the gold standard for drug susceptibility testing, molecular methods provide rapid information about the Mycobacterium tuberculosis mutations associated with resistance to anti-tuberculosis drugs. This consensus document was developed on the basis of a comprehensive literature search, by the TBnet and RESIST-TB networks, about reporting standards for the clinical use of molecular drug susceptibility testing. Review and the search for evidence included hand-searching journals and searching electronic databases. The panel identified studies that linked mutations in genomic regions of M tuberculosis with treatment outcome data. Implementation of molecular testing for the prediction of drug resistance in M tuberculosis is key. Detection of mutations in clinical isolates has implications for the clinical management of patients with multidrug-resistant or rifampicin-resistant tuberculosis, especially in situations when phenotypic drug susceptibility testing is not available. A multidisciplinary team including clinicians, microbiologists, and laboratory scientists reached a consensus on key questions relevant to molecular prediction of drug susceptibility or resistance to M tuberculosis, and their implications for clinical practice. This consensus document should help clinicians in the management of patients with tuberculosis, providing guidance for the design of treatment regimens and optimising outcomes.