Microbiological surveillance and parenteral antibiotic use in a critical care unit
Bibliographic record
Abstract
OBJECTIVE: To evaluate parenteral antibiotic utilization and bacterial resistance patterns in a critical care unit (CrCU). DESIGN: Descriptive, prospective audit of infection site, culture and antimicrobial susceptibility test results, parenteral antibiotic usage and duration, total antibiotic acquisition costs, and length of stay. SETTING: A 17-bed medical-surgical CrCU in a tertiary care teaching hospital in Metropolitan Toronto. PATIENTS: Two hundred and fifty-eight patients admitted to the CrCU between May 1995 and April 1996 who received antimicrobial therapy. RESULTS: The most frequently prescribed antibiotics were cefazolin (47%, 1098 g), gentamicin (33%,141 g) and ceftriaxone (20%, 255 g). The most common indications for antimicrobial therapy included surgical prophylaxis (34%) and pneumonia (35%). The following organisms were isolated from patients treated with antibiotics: Staphylococcus aureus (26%), Pseudomonas aeruginosa (13%), enterococci (12%), Haemophilus influenzae (11%), Escherichia coli (11%), Enterobacter cloacae (8%) and other Gram-negative bacilli (19%). Only 9% of Gram-negative bacilli were resistant to aminoglycosides, 3% were resistant to ciprofloxacin and no extended-spectrum beta-lactamases or imipenem-resistance were detected. No vancomycin-resistant enterococci and only two methicillin-resistant Staphylococcus aureus isolates were identified. CONCLUSIONS: Antibiotic use during the audit appeared appropriate for the specific clinical indications. Low levels of bacterial resistance were detected during the audit.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".