Impact of extended-infusion piperacillin-tazobactam in a Canadian community hospital
Bibliographic record
Abstract
Studies have demonstrated improved clinical outcomes with extended infusion (EI) piperacillin/tazobactam (TZP) compared to standard infusion (SI). However, there is less evidence on its benefits in noncritically-ill patients. Hospital-wide EI TZP was implemented at our site on February 21, 2012. Our objectives were to compare clinical, safety and economic outcomes between EI and SI TZP. A retrospective cohort study of all adult patients who received EI TZP (3.375 g IV q8h infused over 4 hours and SI TZP for ≥ 48 hours during 3 years pre-and postimplementation was conducted. The primary study outcome was 14-day mortality while secondary outcomes included length of hospital stay (LOS), nursing plus pharmacy cost, occurrence of Clostridioides difficile infection, readmission within 30 days and change in Pseudomonas aeruginosa minimum inhibitory concentration (MIC) distribution for TZP. The primary outcome and binary secondary outcomes were analyzed using a logistic regression model. LOS was examined using time to event analysis. Cost was examined using linear regression modelling. Overall, 2034 patients received EI TZP and 1364 patients received SI TZP. EI TZP was associated with lower odds of mortality (OR 0.76, 95% CI 0.63–0.91), lower odds of C. difficile infection (OR 0.59, 95% CI 0.41–0.84) and 8% lower cost (estimate 0.92, 95% CI 0.87–0.98) compared to SI TZP. Hospital-wide implementation of EI TZP was associated with lower odds of 14-day mortality and incidence of C. difficile infection with cost savings at our institution.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".