Emergence of and Risk Factors for Ciprofloxacin‐Gentamicin‐Resistant <i>Escherichia coli</i> Urinary Tract Infections in a Region of Quebec
Bibliographic record
Abstract
BACKGROUND: An increased incidence of urinary tract infections (UTIs) caused by ciprofloxacin-gentamicin-resistant Escherichia coli (CiGREC) has been observed in a tertiary care centre in Sherbrooke, Quebec. The risk factors for such infections remained unclear. METHODS: To determine risk factors for, and outcomes of, CiGREC UTIs, a case control study was conducted. Between 2000 and 2007, 93 cases and 186 controls were identified using laboratory records of patients with greater than 10(7) colony-forming units/L of E coli in a urinary specimen. Cases had E coli with minimum inhibitory concentration to ciprofloxacin of 4 mg/L or greater and minimum inhibitory concentration to gentamicin of 8 mg/L or greater (CiGREC), and controls had E coli with any other susceptibility pattern to ciprofloxacin and gentamicin. Clinical and laboratory data were collected. Adjusted odds ratios (AOR) and their 95% CIs were calculated by logistic regression. RESULTS: The prevalence of CiGREC increased sixfold during the study period. Risk factors associated with CiGREC UTI were advanced age, male sex, urological abnormality, domicile outside Sherbrooke, living in a nursing home (AOR 11.73; 95% CI 3.70 to 37.15), use of fluoroquinolones (AOR 15.24; 95% CI 5.42 to 42.83) or aminoglycosides (AOR 6.59; 95% CI 1.22 to 35.61) within the previous month, and use of fluoroquinolones during the preceding one to 12 months (AOR 2.45; 95% CI 1.06 to 5.62). Compared with controls, cases were more likely not to receive an active antibiotic as empirical or definitive treatment, and were more likely to relapse. INTERPRETATION: In the future, it may become necessary to avoid selecting as empirical therapy of urinary tract infection an antibiotic to which the patient has been recently exposed.
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".