In vitro activity of ceftolozane/tazobactam versus antimicrobial non-susceptible Pseudomonas aeruginosa clinical isolates including MDR and XDR isolates obtained from across Canada as part of the CANWARD study, 2008–16
Bibliographic record
Abstract
Objectives: Ceftolozane/tazobactam is a novel β-lactam β-lactamase inhibitor combination with a broad spectrum of activity that includes Pseudomonas aeruginosa. The purpose of this study was to evaluate the in vitro activity of ceftolozane/tazobactam and relevant comparators versus a large collection of antimicrobial non-susceptible P. aeruginosa clinical isolates recovered from patients across Canada (CANWARD, 2008-16). Methods: Susceptibility testing was performed on P. aeruginosa clinical isolates obtained from sentinel hospitals across Canada between January 2008 and December 2016 using broth microdilution, as described by the CLSI. MDR P. aeruginosa were defined as isolates that tested non-susceptible to at least one antimicrobial from ≥3 classes. XDR P. aeruginosa were defined as isolates that tested non-susceptible to at least one antimicrobial from ≥5 classes. Results: In total, 3229 P. aeruginosa isolates were obtained as a part of CANWARD. Ceftolozane/tazobactam was the most active antimicrobial evaluated, with 98.3% of isolates testing susceptible. The percentage of antimicrobial non-susceptible isolates that remained susceptible to ceftolozane/tazobactam ranged from 85.3% (amikacin non-susceptible subset) to 95.0% (ciprofloxacin non-susceptible subset). Four-hundred and sixty-two P. aeruginosa isolates were MDR (14.3% of all isolates tested) and 84 were XDR (2.6% of all isolates tested). Ceftolozane/tazobactam demonstrated excellent in vitro activity versus the MDR and XDR isolates, with 90.5% and 78.6% remaining susceptible, respectively. Conclusions: Ceftolozane/tazobactam demonstrated excellent in vitro activity against antimicrobial non-susceptible P. aeruginosa clinical isolates, including MDR and XDR subsets. It may prove useful in the treatment of infections caused by these organisms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".