Antibiotic prophylaxis for transrectal ultrasound-guided prostate needle biopsy: Compared efficacy of ciprofloxacin vs. the ciprofloxacin/fosfomycin tromethamine combination
Bibliographic record
Abstract
INTRODUCTION: Some authors advocate an increase in post-prostate needle biopsy (PNB) infections associated with emergent quinolone resistance in E. coli, urging re-evaluation of antibiotic prophylaxis (antibioprophylaxis). In this study, we compared rates of post-PNB urosepsis associated with two oral regimens of antibioprophylaxis: ciprofloxacin (CIP) vs. ciprofloxacin and fosfomycin tromethamine combination (CIP/FOS). METHODS: This retrospective pre-/post-intervention study included all patients who underwent PNB in two Canadian hospitals from January 2012 to December 2015. The primary outcome was urosepsis within one month of PNB. Urosepsis rates were analyzed according to antibioprophylaxis using log-binomial regression, considering the propensity score weights of collected risk factor data. RESULTS: We reviewed 2287 PNB patients. A total of 1090 received CIP and 1197 received CIP/FOS. Urosepsis incidence with CIP was 1.1% (12/1090) and fell to 0.2% (2/1197) with CIP/FOS. Our analysis indicates that CIP/FOS significantly decreased the risk of urosepsis compared to CIP alone (adjusted relative risk [aRR] 0.16; p=0.021). The isolated pathogen was E. coli in 12/14 cases, including seven bacteremias. Among E. coli cases, seven strains were CIP-resistant. Eleven of 12 E. coli, including all CIP-resistant strains, were isolated in patients on CIP alone. One case of B. fragilis bacteremia occurred in the CIP/FOS group. No cases of C. difficile were identified in the three months post-PNB. CONCLUSIONS: The adoption of CIP/FOS antibiotic prophylaxis significantly lowered the rate of post-PNB urosepsis. Conveniently, this regimen is oral, single-dose, and low-cost.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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".