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Details

Autor(en) / Beteiligte
Titel
Antimicrobial Susceptibility and Phylogenetic Relations in a German Cohort Infected with Mycobacterium abscessus
Ist Teil von
  • Journal of clinical microbiology, 2020-11, Vol.58 (12)
Ort / Verlag
United States: American Society for Microbiology
Erscheinungsjahr
2020
Link zum Volltext
Quelle
EZB Electronic Journals Library
Beschreibungen/Notizen
  • is a highly antibiotic-resistant opportunistic pathogen causing clinically challenging infections in patients with preexisting lung diseases or under immunosuppression. Hence, reliable antibiotic susceptibility data are required for effective treatment. Aims of this study were to investigate (i) the congruence of genotypic and phenotypic antimicrobial susceptibility testing, (ii) the relationship between resistance profile and clinical course, and (iii) the phylogenetic relations of in a German patient cohort. A total of 39 isolates from 29 patients infected or colonized with underwent genotypic and phenotypic drug susceptibility testing. Clinical data were correlated with susceptibility data. Phylogenetic analysis was performed by means of whole-genome sequencing (WGS) and single-nucleotide polymorphism (SNP) analysis. Macrolide resistance was mainly mediated by functional Erm(41) methyltransferases (T28 sequevars) in subsp. (  = 25) and subsp. (  = 2). It was significantly associated with impaired culture conversion (  = 0.02). According to the core SNP phylogeny, we identified three clusters of closely related isolates with SNP distances below 25. Representatives of all circulating global clones (Absc. 1, Absc. 2, and Mass. 1) were identified in our cohort. However, we could not determine evidence for in-hospital interhuman transmission from clinical data. In our patient cohort, we identified three clusters with closely related isolates and representatives of the previously described international clusters but no human-to-human in-hospital transmission. Macrolide and aminoglycoside susceptibility data are critical for therapeutic decision-making in infections.
Sprache
Englisch
Identifikatoren
ISSN: 0095-1137
eISSN: 1098-660X
DOI: 10.1128/JCM.01813-20
Titel-ID: cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7685876

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