Molecular Epidemiology of Carbapenem-Resistant Acinetobacter baumannii in the United States, 2013-2017.
Susannah L McKayNicholas VlachosJonathan B DanielsValerie S AlbrechtValerie A StevensJ Kamile RasheedJ Kristie JohnsonJoseph D LutgringMaria Sjölund-KarlssonAlison Laufer HalpinPublished in: Microbial drug resistance (Larchmont, N.Y.) (2022)
Healthcare-associated carbapenem-resistant Acinetobacter baumannii (CRAB) infections are a serious threat associated with global epidemic clones and a variety of carbapenemase gene classes. In this study, we describe the molecular epidemiology, including whole-genome sequencing analysis and antimicrobial susceptibility profiles of 92 selected, nonredundant CRAB collected through public health efforts in the United States from 2013 to 2017. Among the 92 isolates, the Oxford (OX) multilocus sequence typing scheme identified 30 sequence types (STs); the majority of isolates ( n = 59, 64%) represented STs belonging to the international clonal complex 92 (CC92 OX ). Among these, ST208 OX ( n = 21) and ST281 OX ( n = 20) were the most common. All isolates carried an OXA-type carbapenemase gene, comprising 20 alleles. Ninety isolates (98%) encoded an intrinsic OXA-51-like enzyme; 67 (73%) harbored an additional acquired bla OXA gene, most commonly bla OXA-23 ( n = 45; 49%). Compared with isolates harboring only intrinsic oxacillinase genes, acquired bla OXA gene presence was associated with higher prevalence of resistance and a higher median minimum inhibitory concentration to the carbapenem imipenem (64 μg/mL vs. 8 μg/mL), and antibiotics from other drug classes, including penicillin, aminoglycosides, cephalosporins, and polymyxins. These data illustrate the wide distribution of CC92 OX and high prevalence of acquired bla OXA carbapenemase genes among CRAB in the United States.
Keyphrases
- acinetobacter baumannii
- klebsiella pneumoniae
- multidrug resistant
- drug resistant
- genome wide identification
- genome wide
- pseudomonas aeruginosa
- genetic diversity
- gram negative
- public health
- copy number
- healthcare
- escherichia coli
- genome wide analysis
- dna methylation
- low density lipoprotein
- transcription factor
- cystic fibrosis
- risk factors
- machine learning
- electronic health record
- deep learning
- health information
- quality improvement