Recovery of meticillin‐resistant <i>Staphylococcus</i> species from pet‐grooming salons
Bibliographic record
Abstract
BACKGROUND: Meticillin-resistant (MR) staphylococcal species have been cultured from veterinary hospital environments and veterinary instruments. Pet-grooming salon environments and grooming tools may pose a risk for dissemination of MR staphylococcal bacteria into the pet population. OBJECTIVE: The objectives of this study were to investigate the frequency of MR staphylococcal colonization of pet-grooming salons and to collect information regarding cleaning procedures in grooming salons. METHODS AND MATERIALS: A nonrandomized, observational study was performed in 2018. Locations inside 19 grooming salons near Tacoma, WA, USA, were sampled and selectively cultured for MR, coagulase-positive staphylococci. Sampled sites included clipper blades and handles, leashes, rims of bathtub drains, insides of shampoo caps, and bathtub spray hoses or faucet handles. Grooming salons were asked to complete surveys regarding their cleaning practices. RESULTS: Meticillin-resistant coagulase-positive staphylococci were isolated from 12 of 19 grooming salons and 25 of 112 total samples. Meticillin-resistant S. pseudintermedius, S. aureus and S. schleiferi were isolated from multiple salons, most commonly from electric clipper blades, clipper handles and grooming leashes. No statistically significant correlations were identified between cleaning practices and the isolation of MR coagulase-positive staphylococci. CONCLUSIONS AND CLINICAL IMPORTANCE: Clipper blades, clipper handles and leashes are potential fomites for MR staphylococci in a grooming salon; increased disinfection practices for these items are indicated. A prospective, controlled, large-scale study is warranted to examine the effect of grooming salon hygiene practices on the isolation of MR staphylococci in salons.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".