Temporal Changes in the Prevalence of Community-Acquired Antimicrobial-Resistant Urinary Tract Infection Affected by Escherichia coli Clonal Group Composition
Bibliographic record
Abstract
BACKGROUND: The changing prevalence of drug-resistant community-acquired urinary tract infection (UTI) is often attributed to local antimicrobial drug use or prescribing practices. However, recent molecular epidemiologic studies of community-acquired UTI suggest that other factors may play a greater role. METHODS: We conducted a multiyear, cross-sectional study to characterize temporal changes in the prevalence of drug-resistant community-acquired UTI at a university community in California. During four 3.5-month sampling periods, urine samples from patients consecutively presenting to the university health service with symptoms of UTI were cultured for Escherichia coli. Antimicrobial susceptibility and genotyping tests of the E. coli isolates were performed. RESULTS: We recovered 780 E. coli isolates from 1667 patients with UTI. The prevalence of trimethoprim-sulfamethoxazole, ciprofloxacin, and nitrofurantoin resistance showed no trend over the 4 periods. The prevalence of ampicillin resistance decreased significantly over the last 2 study periods. A single clonal group accounted for 75% of this decrease. Enterobacterial repetitive intergenic consensus 2 PCR-based genotyping revealed that only 4 large clonal groups accounted for 52% of the UTIs resistant to trimethoprim-sulfamethoxazole, ciprofloxacin, or nitrofurantoin. No initially pansusceptible clonal groups gained resistance over time. CONCLUSIONS: This study revealed no obvious trend in the prevalence of drug-resistant community-acquired UTI in a single community. Prevalence at any time was influenced by a small number of E. coli clonal groups. This observation suggests that the introduction of strains that are drug resistant into a community plays a greater role in changing the prevalence of drug-resistant UTI than does the drug use or prescribing habits in that community.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".