Ceftolozane/Tazobactam treatment for patients with hospital-acquired and ventilatory-associated bacterial pneumonia in Canada in 2022–2024: results from the CLEAR registry
Bibliographic record
Abstract
Background We report results from the national CLEAR (Canadian Leadership on Antimicrobial Real-Life Usage) registry on the usage of ceftolozane/tazobactam in Canada from 2022 to 2024.Research design and methods The authors reviewed the final data using the national ethics approved CLEAR study. Thereafter, the literature is surveyed regarding the usage of ceftolozane/tazobactam to treat patients with HABP and VABP via PubMed (up to May 2024).Results Ceftolozane/tazobactam was primarily used as directed therapy to treat HABP and VABP caused by Pseudomonas aeruginosa. It was primarily used alone, or in combination with another agent, to treat resistant and multidrug-resistant (MDR) P. aeruginosa infections. Despite primarily being used to treat severely ill patients in intensive care units, its use was associated with relatively high microbiological/clinical cure rates, along with an excellent safety profile. Several reports attest to the microbiological/clinical efficacy and safety of using ceftolozane/tazobactam to treat HABP and VABP.Conclusions In Canada, ceftolozane/tazobactam is primarily used as directed therapy alone, or in combination, to treat MDR P. aeruginosa infections. Though mostly used to treat severely ill patients in the ICU, ceftolozane/tazobactam use in HABP and VABP is associated with relatively high microbiological/clinical cure rates and an excellent safety profile.
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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) | 0.001 | 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".