Travel-Related Carbapenemase-Producing Gram-Negative Bacteria in Alberta, Canada: the First 3 Years
Bibliographic record
Abstract
We describe here the characteristics of Alberta, Canada, patients with infections or colonizations with carbapenemase-producing Gram-negative bacteria during 2010 to 2013 that were linked to recent travel outside Canada. Antimicrobial susceptibility was determined by broth microdilution, and isolates were characterized using PCR, sequencing, and multilocus sequencing typing. A broth mating study was used to assess the transferability of resistance plasmids, which were subsequently characterized. All the patients (n=12) included in our study had contact with a health care system while abroad. Most of the patients presented with urinary tract infections (UTIs) and were admitted to hospitals within weeks after their return to Alberta. Secondary spread occurred in 1 case, resulting in the death of another patient. The carbapenemase-producing bacteria (n=17) consisted of Escherichia coli (sequence type 101 [ST101], ST365, ST405, and ST410) with NDM-1, Klebsiella pneumoniae (ST15, ST16, ST147, ST258, ST340, ST512, and ST972) with NDM-1, OXA-181, KPC-2, and KPC-3, Acinetobacter baumannii with OXA-23, Providencia rettgeri with NDM-1, Enterobacter cloacae with KPC-2, and Citrobacter freundii with NDM-1. The blaNDM-1 gene was associated with various narrow- (i.e., IncF) and broad- (i.e., IncA/C and IncL/M) host-range plasmids with different addiction factors. Our results show that NDM-producing K. pneumoniae, belonging to a variety of sequence types with different plasmid scaffolds, are regularly imported from India into Alberta. Clinical microbiology laboratories should remain vigilant in detecting bacteria with carbapenemases.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".