Characterization of OXA-48-like carbapenemase producers in Canada, 2011–14
Bibliographic record
Abstract
Objectives: Since the first identification of the OXA-48 carbapenemase in 2001, Enterobacteriaceae harbouring OXA-48-like enzymes have been reported globally. Here, we applied WGS to characterize the molecular epidemiology of these bacterial isolates. Methods: Enterobacteriaceae non-susceptible to carbapenems isolated from patients between 2011 and 2014 were voluntarily submitted to the Canadian National Microbiology Laboratory where they were screened for carbapenemase genes. WGS was conducted on OXA-48-like producers using the Illumina MiSeq platform. WGS data were used for single nucleotide variant (SNV) analysis, MLST analysis, detection of resistance genes and partial plasmid characterization. Susceptibilities were determined using Vitek2 and Etest. Patient data provided from sites were reviewed. Results: Sixty-seven non-duplicated cases were identified among Escherichia coli (n = 21) and Klebsiella pneumoniae (n = 46). Recent international travel was observed in 40.4% of cases. OXA-181 (52.2%) and OXA-48 (31.3%) were the most common variants, one E. coli OXA-48 producer was found to harbour the acquired colistin resistance gene mcr-1. The dominant STs were ST38 and ST410 in E. coli and ST14 in K. pneumoniae. Three common plasmid types were observed among isolates: IncL/M associated with OXA-48 producers, and ColKP3 and IncX3 associated with OXA-181/232 producers. Conclusions: Enterobacteriaceae with OXA-48-like carbapenemases are emerging in Canada. This study highlights the complexity of OXA-48-types identified in Canada owing to travel and the successful clones and plasmids harbouring the OXA-48-like enzyme.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".