The Drug Susceptibility of Non-Tuberculous Mycobacteria (NTM) in a Referral Hospital in Rome from 2018 to 2023.
Antonio MazzarelliCarla NisiiAngela CannasAntonella VulcanoBarbara BartoliniFederica TurchiOrnella ButeraAlberto RossiChiara De GiuliChiara MassiminoChiara StellitanoValentina AntonelliIvano PetriccioneEnrico GirardiGina GualanoFabrizio PalmieriCarla FontanaPublished in: Microorganisms (2024)
Background: The treatment of non-tuberculous mycobacterial (NTM) infections is challenging because of the difficulty in obtaining phenotypic (pDST) and/or molecular (mDST) drug susceptibility testing and the need of a multi-drug regimen. Objectives : The objective was to describe the in vitro susceptibility patterns of various NTM species through an analysis of susceptibility results obtained on isolates collected between 2018 and 2023. Methods: Species identification and mutations in rrs or rrl genes (mDST) were identified by a line probe assay, while the pDST was performed by broth microdilution and interpreted according to CLSI criteria. Results: We analysed 337 isolates of NTM belonging to 15 species/subspecies. The Mycobacterium avium complex (MAC) was the most common (62%); other species identified included M. gordonae (11%), M. kansasii (5%), the M. abscessus complex (8%), M. chelonae (6%), and M. fortuitum (2%). The results of pDST (claritromycin and amikacin) and mDST ( rrl and rrs genes) on 66 NTM strains showed that while wild-type rrl and rrs occurred in 86.3% and 94% strains, respectively, the pDST showed 88% sensitivity for clarithromycin and 57.5% for amikacin. The main incongruity was observed for macrolides. Conclusions : Most NTM are likely to be susceptible to macrolides and aminoglycosides. The molecular identification of resistant genotypes is accurate and strongly recommended for optimal patient management.
Keyphrases
- genetic diversity
- bioinformatics analysis
- mycobacterium tuberculosis
- wild type
- escherichia coli
- adverse drug
- primary care
- genome wide
- healthcare
- helicobacter pylori
- emergency department
- gene expression
- quantum dots
- high resolution
- helicobacter pylori infection
- mass spectrometry
- transcription factor
- single molecule
- drug induced
- living cells
- acute care