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Minimum inhibitory concentration distributions for Mycobacterium avium complex—towards evidence-based susceptibility breakpoints

Overview of attention for article published in International Journal of Infectious Diseases, January 2017
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Title
Minimum inhibitory concentration distributions for Mycobacterium avium complex—towards evidence-based susceptibility breakpoints
Published in
International Journal of Infectious Diseases, January 2017
DOI 10.1016/j.ijid.2016.12.027
Pubmed ID
Authors

Thomas Schön, Erja Chryssanthou

Abstract

Patients with clinical infections caused by the Mycobacterium avium-complex (MAC) are treated for at least one year following sputum conversion with a regimen suffering from suboptimal cure rates. The correlation between clinical outcome and drug susceptibility testing breakpoints other than for the macrolides is regarded to be poor. A systematic evaluation of clinical breakpoints against MAC has not been performed so far and thus our aim was to initiate this process by establishing minimal inhibitory concentration (MIC) distributions. The MIC against the major drugs used for treatment was determined in 229 clinical MAC isolates in cation-adjusted Mueller-Hinton II broth. The MIC50 and MIC ranges were established and compared to suggested susceptibility breakpoints for clarithromycin (2; 0.064-128mg/L), rifabutin (0.25;<=0.25-16mg/L), ethambutol (8; 0.5-32mg/L), amikacin (16; 1-128mg/L), moxifloxacin (2; 0.25-16mg/L), linezolid (32; 1-128), rifampicin (8; 0.125-16mg/L) and trimethoprim/sulfamethoxazole (2/38; 0.125/2-16/304mg/L). Our results together with available studies indicate that MICs are high for drugs such as rifabutin, rifampicin, ethambutol, linezolid and moxifloxacin used against MAC at levels unlikely to be associated with clinical efficacy with current dosing. This may partly explain the poor correlation between susceptibility testing and clinical outcome for drugs other than clarithromycin.

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Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 21%
Researcher 7 13%
Student > Doctoral Student 6 11%
Student > Bachelor 4 7%
Professor > Associate Professor 4 7%
Other 10 18%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 16 29%
Immunology and Microbiology 9 16%
Biochemistry, Genetics and Molecular Biology 5 9%
Chemistry 3 5%
Agricultural and Biological Sciences 3 5%
Other 5 9%
Unknown 15 27%