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Differences in Drug-Susceptibility Patterns between Mycobacterium avium , Mycobacterium intracellulare , and Mycobacterium chimaera Clinical Isolates: Prospective 8.5-Year Analysis by Three Laboratories.

Mariana Fernandez-PittolSara Batista-ArnauAngely RománLorena San NicolásLaura OliverOlga González-MorenoJosé Antonio MartínezRosanel Amaro-RodríguezNéstor SolerAmadeu GenéAraceli González-CuevasGriselda TudóJulian Gonzalez-Martin
Published in: Antibiotics (Basel, Switzerland) (2022)
Background : It has been suggested that Mycobacterium avium , Mycobacterium intracellulare , and M. chimaera have differential drug susceptibility patterns. We prospectively analyzed and compared the drug susceptibility patterns among these species over an 8.5-year period. Methods : A microdilution method (Slomyco ® ) was performed for drug susceptibility testing of 402 M. avium , 273 M. intracellulare , and 139 M. chimaera clinical isolates. Results : M. avium showed significantly higher resistance to moxifloxacin, ciprofloxacin, rifampicin, ethambutol, streptomycin, linezolid, cotrimoxazole, and clarithromycin. M. avium also showed higher minimum inhibitory concentrations (MIC) than M. intracellulare and M. chimaera against all drugs except ethionamide, to which M. intracellulare and M. chimaera showed greater resistance. Conclusions : Our series demonstrated differential drug resistance patterns among the most frequent M. avium complex species. M. avium was more resistant than M. intracellulare and M. chimaera versus eight antibiotics and showed greater MIC values to most of the antibiotics studied. These data suggest that knowledge of the local distribution and susceptibility profiles of these pathogens is essential for adequate clinical management.
Keyphrases
  • mycobacterium tuberculosis
  • drug induced
  • adverse drug
  • emergency department
  • pseudomonas aeruginosa
  • pulmonary tuberculosis
  • machine learning
  • multidrug resistant
  • deep learning