Surveillance of ceftobiprole against Gram-positive and Gram-negative clinical isolates from 2018 from different European territories
Bibliographic record
Abstract
OBJECTIVES: Ceftobiprole is approved for the treatment of hospital-acquired and community-acquired pneumonia in 17 different European countries and is currently undergoing clinical trials in the USA. METHODS: In this study, isolates were collected from hospital laboratories from 15 European countries during 2018 as part of an ongoing post-marketing surveillance study. Minimum inhibitory concentrations (MICs) were determined using European Committee on Antimicrobial Susceptibility Testing (EUCAST) broth microdilution methodology and were interpreted using 2019 EUCAST breakpoints. RESULTS: Ceftobiprole was active (MIC, ≤2 mg/L) against 100% and 98.9% of methicillin-susceptible Staphylococcus aureus and methicillin-resistant S. aureus (MRSA) from 2018, respectively. Only six MRSA isolates (1.1%) were resistant to ceftobiprole and originated from four countries. Against Streptococcus pneumoniae, ceftobiprole was active (MIC, ≤0.5 mg/L) against 98.7% of isolates. Overall, 75.6% of Enterobacterales were susceptible, although isolate numbers in certain countries were notably low. In addition, based on non-species-related pharmacokinetic/pharmacodynamic breakpoints, 63.2% of Pseudomonas aeruginosa isolates were susceptible to ceftobiprole. CONCLUSION: Data for ceftobiprole for isolates from 2018 are very similar to studies performed on isolates from earlier years, showing that susceptibility to ceftobiprole has remained high.
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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".