Characterization of <i>bla</i> <sub>KPC-2</sub> -Harboring <i>Klebsiella pneumoniae</i> Isolates and Mobile Genetic Elements from Outbreaks in a Hospital in Ecuador
Bibliographic record
Abstract
Aim: To investigate the mobile genetic elements harboring bla KPC gene in carbapenem-resistant Klebsiella pneumoniae recovered during a 6-month outbreak in a high-complexity hospital from Ecuador. Results: A total of 62 isolates belonging to ST258 pilv-I -positive ( n = 45), ST25 serotype K2 ( n = 8), ST348 ( n = 6), ST42 ( n = 1), ST196 ( n = 1), and ST1758 ( n = 1) were collected from intensive care unit (ICU), neurosurgery, burn unit, internal medicine, pneumology, and neurology. Pulsed-field gel electrophoresis analysis showed two major clusters of ST258 and ST25 related to bloodstream infections and pneumonia circulating in ICU. The PCR assay showed that in non-ST258 isolates, the bla KPC-2 gene were located on the Tn 4401a transposon inserted in the transferable pKpQIL-like IncFII K2 plasmid; the whole-genome sequencing of ST258 clone showed two plasmids, the bla KPC-2 gene was located on nonconjugative IncR plasmid, whereas the IncFIB/IncFII plasmid lacked ß-lactamase genes. We found an IncM plasmid in bla KPC-2 -harboring Klebsiella pneumoniae ST1758 clone. Conclusions: These findings highlight the presence of pKpQIL-like plasmids in non-ST258 and nonconjugative plasmids in ST258 isolates causing hospital outbreaks.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".