948. Impact of a Multi-pronged Approach to Antimicrobial Stewardship on the Vascular Ward at a Tertiary Hospital
Bibliographic record
Abstract
Abstract Background Up to 50% of inpatient antibiotic use may be inappropriate, and guideline concordance for antibiotic prescribing in surgical wards tends to be lower than medical wards. As such, our study describes a multi-pronged approach to antimicrobial stewardship (AMS) targeting a vascular ward and its impact on improving antibiotic use. Methods This is a quality improvement study at a tertiary hospital in British Columbia, Canada. All patients admitted to the vascular surgery ward for any vascular related issues and who received piperacillin-tazobactam or a carbapenem were included. Patients were excluded if admitted to the ward for < 48 hours. The primary outcome is appropriateness of carbapenem and piperacillin-tazobactam use in concordance with local policies. Secondary outcome is consumption of these agents. The pre-intervention period was March 2020 to June 2020. The AMS team prospectively reviewed included patients to establish the baseline level of appropriate antibiotic use. The intervention period was from July 2020 to February 2021. Aside from presentations to surgeons, the main intervention was regular audit and feedback to a nurse practitioner who rounds with the surgeons. Mandatory ID consultation for carbapenems was the last resort if AMS recommendations were not accepted. Results During the pre-intervention period, 19 out of 25 prescriptions (76%), either carbapenem or piperacillin-tazobactam, had appropriate indications. In the intervention period, 121 prescriptions were reviewed and the appropriateness level increased to 87% (Figure 1). Eleven mandatory ID consultations were generated. The mean days of therapy (DOT) per 1000 patient-days for carbapenem decreased from 94.6 to 56.6 for pre- and intervention periods, respectively. For piperacillin-tazobactam, the mean DOT per 1000 patient-days decreased from 209.9 to 138.5 for pre- and intervention periods. The reduced usage of piperacillin-tazobactam remained sustainable post-intervention (Figure 2). Figure 1:Summary of patient characteristics and outcomes during intervention period (July 2020 to February 2021)Figure 2:Usage of piperacillin-tazobactam from June 2019 to June 2021 Conclusion A multi-pronged approach, consisting of education, prospective audit and feedback to the surgical team, and mandatory ID consult in selected cases, is effective in decreasing inappropriate broad-spectrum antibiotic use on the vascular ward at a tertiary centre. Disclosures All Authors: No reported disclosures.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".