Fecal shedding of extended-spectrum beta-lactamase-producing Enterobacterales in cats admitted to an animal shelter
Bibliographic record
Abstract
Objectives The objective of this study was to evaluate shedding of extended-spectrum beta-lactamase (ESBL)-producing bacteria in cats admitted to an animal shelter. Methods Fecal samples were collected from cats admitted to an animal shelter between 12 June and 23 August 2018. Selective enrichment culture for ESBL-producing bacteria was performed and isolates were speciated and tested for selected ESBL genes using PCR. Results ESBL-producing Enterobacterales were identified in fecal samples from 2/87 (2.3%; 95% confidence interval 0.6–8.0) cats. One isolate was an Escherichia coli that possessed bla CTX-M-1 , bla CMY-2 and bla TEM genes. The other was Enterobacter cloacae possessing bla CTX-M-1 and bla CMY-2 . Conclusions and relevance While the study sample size and prevalence rate for ESBL-producing bacteria were low, these data document that cats admitted to similar shelters could harbor these agents. The risk posed by ESBL-producing bacterium shedding in cats, both to cats and other species, is currently unclear. However, these findings support the need for more investigation of interspecies transmission of ESBL-producing bacteria and ESBL genes, as well as the importance of antimicrobial stewardship and routine infection control measures.
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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 | 0.001 | 0.002 |
| 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".