Cargando…

In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022

BACKGROUND: Treatment of slowly growing non-tuberculous mycobacteria (SGM) is challenging. In vitro antimicrobial susceptibility testing (AST) is needed to optimize a multidrug regimen but requires weeks to result. Aggregated AST patterns, or an antibiogram, of SGM would be helpful to providers. OBJ...

Descripción completa

Detalles Bibliográficos
Autores principales: Calado Nogueira de Moura, Vinicius, Nguyen, Minh-Vu H, Hunkins, Joshua J, Daley, Charles L, Khare, Reeti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689928/
https://www.ncbi.nlm.nih.gov/pubmed/37864515
http://dx.doi.org/10.1093/jac/dkad317
_version_ 1785152453495226368
author Calado Nogueira de Moura, Vinicius
Nguyen, Minh-Vu H
Hunkins, Joshua J
Daley, Charles L
Khare, Reeti
author_facet Calado Nogueira de Moura, Vinicius
Nguyen, Minh-Vu H
Hunkins, Joshua J
Daley, Charles L
Khare, Reeti
author_sort Calado Nogueira de Moura, Vinicius
collection PubMed
description BACKGROUND: Treatment of slowly growing non-tuberculous mycobacteria (SGM) is challenging. In vitro antimicrobial susceptibility testing (AST) is needed to optimize a multidrug regimen but requires weeks to result. Aggregated AST patterns, or an antibiogram, of SGM would be helpful to providers. OBJECTIVES: We aggregated and analysed human SGM isolates sent to our laboratory from across the USA between 2018 and 2022 to describe their in vitro susceptibility patterns and construct an antibiogram. METHODS: SGM isolates’ species/subspecies and mutations in rrs or rrl were identified by a line probe assay. AST was done primarily by broth microdilution and interpreted using the latest CLSI guideline. Mutational and AST results for SGM with ≥15 isolates were collated and analysed with descriptive statistics. RESULTS: There were 32 different species/subspecies of SGM from 10 131 isolates between January 2018 and December 2022 from across the USA, 80% of which were from organisms in Mycobacterium avium complex (MAC). Most specimens were sputum and came from Florida (2892). MAC ranged from 94% to 100% susceptible to clarithromycin, 64% to 91% to amikacin, 2% to 31% to linezolid, and 4% to 41% to moxifloxacin. Non-MAC SGM ranged from 82% to 100% susceptible to clarithromycin, 49% to 100% to amikacin, and 76% to 100% to rifabutin, but susceptibilities to other antimicrobials varied widely. WT rrs and rrl predicted >96% of phenotypic non-resistance to amikacin and clarithromycin, respectively, whereas mutant genotypes predicted >90% of phenotypic resistance. CONCLUSIONS: Most SGM are likely to be susceptible to clarithromycin and amikacin, complementing their treatment guidance by mycobacterial experts. Molecular identification of resistant genotypes is accurate and helpful. This antibiogram for SGM will help providers.
format Online
Article
Text
id pubmed-10689928
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-106899282023-12-02 In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022 Calado Nogueira de Moura, Vinicius Nguyen, Minh-Vu H Hunkins, Joshua J Daley, Charles L Khare, Reeti J Antimicrob Chemother Original Research BACKGROUND: Treatment of slowly growing non-tuberculous mycobacteria (SGM) is challenging. In vitro antimicrobial susceptibility testing (AST) is needed to optimize a multidrug regimen but requires weeks to result. Aggregated AST patterns, or an antibiogram, of SGM would be helpful to providers. OBJECTIVES: We aggregated and analysed human SGM isolates sent to our laboratory from across the USA between 2018 and 2022 to describe their in vitro susceptibility patterns and construct an antibiogram. METHODS: SGM isolates’ species/subspecies and mutations in rrs or rrl were identified by a line probe assay. AST was done primarily by broth microdilution and interpreted using the latest CLSI guideline. Mutational and AST results for SGM with ≥15 isolates were collated and analysed with descriptive statistics. RESULTS: There were 32 different species/subspecies of SGM from 10 131 isolates between January 2018 and December 2022 from across the USA, 80% of which were from organisms in Mycobacterium avium complex (MAC). Most specimens were sputum and came from Florida (2892). MAC ranged from 94% to 100% susceptible to clarithromycin, 64% to 91% to amikacin, 2% to 31% to linezolid, and 4% to 41% to moxifloxacin. Non-MAC SGM ranged from 82% to 100% susceptible to clarithromycin, 49% to 100% to amikacin, and 76% to 100% to rifabutin, but susceptibilities to other antimicrobials varied widely. WT rrs and rrl predicted >96% of phenotypic non-resistance to amikacin and clarithromycin, respectively, whereas mutant genotypes predicted >90% of phenotypic resistance. CONCLUSIONS: Most SGM are likely to be susceptible to clarithromycin and amikacin, complementing their treatment guidance by mycobacterial experts. Molecular identification of resistant genotypes is accurate and helpful. This antibiogram for SGM will help providers. Oxford University Press 2023-10-21 /pmc/articles/PMC10689928/ /pubmed/37864515 http://dx.doi.org/10.1093/jac/dkad317 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of British Society for Antimicrobial Chemotherapy. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Research
Calado Nogueira de Moura, Vinicius
Nguyen, Minh-Vu H
Hunkins, Joshua J
Daley, Charles L
Khare, Reeti
In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title_full In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title_fullStr In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title_full_unstemmed In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title_short In vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the USA from 2018 to 2022
title_sort in vitro susceptibility patterns for slowly growing non-tuberculous mycobacteria in the usa from 2018 to 2022
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689928/
https://www.ncbi.nlm.nih.gov/pubmed/37864515
http://dx.doi.org/10.1093/jac/dkad317
work_keys_str_mv AT caladonogueirademouravinicius invitrosusceptibilitypatternsforslowlygrowingnontuberculousmycobacteriaintheusafrom2018to2022
AT nguyenminhvuh invitrosusceptibilitypatternsforslowlygrowingnontuberculousmycobacteriaintheusafrom2018to2022
AT hunkinsjoshuaj invitrosusceptibilitypatternsforslowlygrowingnontuberculousmycobacteriaintheusafrom2018to2022
AT daleycharlesl invitrosusceptibilitypatternsforslowlygrowingnontuberculousmycobacteriaintheusafrom2018to2022
AT kharereeti invitrosusceptibilitypatternsforslowlygrowingnontuberculousmycobacteriaintheusafrom2018to2022