<i>In Vitro</i> Activity of Aztreonam-Avibactam against Enterobacteriaceae and Pseudomonas aeruginosa Isolated by Clinical Laboratories in 40 Countries from 2012 to 2015
Bibliographic record
Abstract
ABSTRACT The combination of the monobactam aztreonam and the non-β-lactam β-lactamase inhibitor avibactam is currently in clinical development for the treatment of serious infections caused by metallo-β-lactamase (MBL)-producing Enterobacteriaceae , a difficult-to-treat subtype of carbapenem-resistant Enterobacteriaceae for which therapeutic options are currently very limited. The present study tested clinically significant isolates of Enterobacteriaceae ( n = 51,352) and Pseudomonas aeruginosa ( n = 11,842) collected from hospitalized patients in 208 medical center laboratories from 40 countries from 2012 to 2015 for in vitro susceptibility to aztreonam-avibactam, aztreonam, and comparator antimicrobial agents using a standard broth microdilution methodology. Avibactam was tested at a fixed concentration of 4 μg/ml in combination with 2-fold dilutions of aztreonam. The MIC 90 s of aztreonam-avibactam and aztreonam were 0.12 and 64 μg/ml, respectively, for all Enterobacteriaceae isolates; >99.9% of all isolates and 99.8% of meropenem-nonsusceptible isolates ( n = 1,498) were inhibited by aztreonam-avibactam at a concentration of ≤8 μg/ml. PCR and DNA sequencing identified 267 Enterobacteriaceae isolates positive for MBL genes (NDM, VIM, IMP); all Enterobacteriaceae carrying MBLs demonstrated aztreonam-avibactam MICs of ≤8 μg/ml and a MIC 90 of 1 μg/ml. Against all P. aeruginosa isolates tested, the MIC 90 of both aztreonam-avibactam and aztreonam was 32 μg/ml; against MBL-positive P. aeruginosa isolates ( n = 452), MIC 90 values for aztreonam-avibactam and aztreonam were 32 and 64 μg/ml, respectively. The current study demonstrated that aztreonam-avibactam possesses potent in vitro activity against a recent, sizeable global collection of Enterobacteriaceae clinical isolates, including isolates that were meropenem nonsusceptible, and against MBL-positive isolates of Enterobacteriaceae , for which there are few treatment options.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".