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DEVELOPMENT OF ANTIBIOTIC RESISTANCE IN ESCHERICHIA COLI FROM DOGS IN THE INTENSIVE CARE UNIT WITH INCREASED DURATION OF STAY

2004· article· en· W2172017324 on OpenAlexaff
Jennifer Ogeer-Gyles, KA Mathews, John F. Prescott, Patrick Boerlin

Bibliographic record

VenueJournal of Veterinary Emergency and Critical Care · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicineAmpicillinCeftiofurCefoxitinAmoxicillinNalidixic acidAntibiotic resistanceCefotaximeGentamicinClavulanic acidAntibioticsDrug resistanceMicrobiologyInternal medicineBiologyBacteria

Abstract

fetched live from OpenAlex

Introduction: Antibiotic resistance develops in human patients in the intensive care unit (ICU) with increased duration of stay. The major selection factor is the use of antimicrobial agents. The hypothesis tested in this study was that antimicrobial resistance in fecal E. coli isolated from dogs increased with increased length of stay in the ICU. Methods: E. coli were isolated from rectal swabs collected on days 0 (D0, day of admission to the ICU), 3 (D3), 6 (D6), and 9 (D9) from all dogs housed in the ICU for 3 or more days. The E. coli were tested for resistance to nalidixic acid, enrofloxacin, cephalothin, cefoxitin, cefotaxime, ceftiofur, trimethoprim‐sulfa, chloramphenicol, gentamicin, tetracycline, ampicillin and amoxicillin/clavulanate. Thirty‐two patients were included in the study, 17 with D0‐D3 and 15 with D0‐D6 E. coli isolates. Five E. coli strains were isolated each sampling day and tested for antimicrobial susceptibility, resulting in a total of 60 outcomes per day per dog. The proportion of positive outcomes (resistance) was calculated for each day up to D6. Univariate ANOVA analysis was used to analyze the data. Results: The proportion of positive outcomes (resistance) increased from 9.3% on D0 to 14.7% on D3 to 27.9% on D6. Resistance to the frequently used ampicillin increased in a linear manner with increased duration of stay. The proportion of ampicillin‐resistant colonies increased from 19.6% on D0 to 39.1% on D3 to 68.7% on D6 (p=0.001). Resistance to the infrequently used amoxicillin/clavulanic acid, also increased significantly (p=0.026) and linearly. The increase in resistance to enrofloxacin was significant (p=0.046); but the increase in resistance to the precursor, nalidixic acid, was highly significant (p=0.020). No change in resistance to gentamicin was found. The remaining antibiotics tested showed an insignificant increase in resistance. Conclusions: Resistance to antibiotics increased in dogs with duration of stay in the ICU for 3 or more days. This linear trend was most significant with penicillin‐based beta‐lactams, which are frequently used in the ICU. Consequently, critically ill dogs may be at increased risk for developing opportunistic infections, caused by multi‐drug resistant organisms.

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 score0.001
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
Bibliometrics0.0000.000
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 head0.023
GPT teacher head0.299
Teacher spread0.277 · 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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Citations1
Published2004
Admission routes1
Has abstractyes

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