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TRACING THE ORIGIN OF MULTI‐DRUG RESISTANT (MDR) ESCHERICHIA COLI INFECTIONS FROM URINARY CATHETERS IN ICU CANINE PATIENTS

2004· article· en· W1984824844 on OpenAlexaff
Jennifer Ogeer-Gyles, KA Mathews, Patrick Boerlin

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2004
Typearticle
Languageen
FieldMedicine
TopicUrinary Tract Infections Management
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineNalidixic acidMicrobiologyAmpicillinGentamicinUrinary systemEscherichia coliUrineCefotaximeCefoxitinFecesAntibioticsInternal medicineBiologyBacteriaStaphylococcus aureus

Abstract

fetched live from OpenAlex

Introduction: Urinary tract infections (UTIs) in dogs with urinary catheters in intensive care units (ICUs) are frequent. Historically, multi‐drug resistant (MDR) Escherichia coli account for about 10% of the UTIs. The objectives of this study were to determine the frequency of E. coli infections and of MDR E. coli in dogs with UTIs in our ICU, and to assess whether the MDR E. coli were community‐acquired or nosocomial in origin. Methods: Over a 1‐year period, rectal swabs were taken from all dogs in the ICU on the day of admission (D0) and on days 3 (D3), 6 (D6), 9 (D9) and 12 (D12). Urine was collected on these days from dogs with an indwelling urinary catheter (n=190). Rectal swabs and urine were routinely cultured. E. coli isolates were identified by biochemical tests. Using NCCLS guidelines, antibiotic susceptibility testing was done by disk diffusion method on fecal and urinary E. coli isolates. Twelve antimicrobial agents were used: nalidixic acid, enrofloxacin, cephalothin, cefoxitin, cefotaxime, ceftiofur, trimethoprim‐sulfa, chloramphenicol, gentamicin, tetracycline, ampicillin, and amoxicillin/clavulanate. Pulsed‐field gel electrophoresis (PFGE) was used to compare MDR E. coli UTI strains with fecal E. coli strains from the same patient and with MDR fecal E. coli from patients that were adjacent to, or housed in the same cages. Results: E. coli was cultured from 12 (48%) of 25 UTIs. Two of the E. coli were MDR. For one dog, PFGE showed no similarities among fecal E. coli and the urinary MDR E. coli isolates from the patient or between these isolates and fecal E. coli from a dog housed in the same kennel on the previous day. The MDR E. coli UTI was likely acquired prior to admission to the ICU, as it was present on D0. For the other dog, PFGE showed genetic similarity but not complete identity between the D3 MDR E. coli urinary isolate and the D3, D6, D9 fecal MDR isolates. This suggests that the UTI originated with the fecal E. coli. Using selective plates, fecal MDR E. coli were not found on D0. Selection of the MDR strain in the intestine by the use of antibiotics occurred while the dog was in the ICU and possibly led to the UTI. Conclusions: Multi‐drug resistant E. coli accounted for 2 of 12 E. coli UTIs in dogs in the ICU over a 1‐year period. Genotyping showed that one of the two MDR E. coli infections could possibly be of nosocomial origin.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.033
GPT teacher head0.326
Teacher spread0.293 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2004
Admission routes1
Has abstractyes

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