In vitro activity of imipenem/relebactam against non-Morganellaceae Enterobacterales and Pseudomonas aeruginosa in Latin America: SMART 2018‒2020
Bibliographic record
Abstract
Carbapenem-resistant Enterobacterales and Pseudomonas aeruginosa are being isolated from patient specimens with increasing frequency in Latin America and worldwide. The current study provides an initial description of the in vitro activity of imipenem/relebactam (IMR) against non-Morganellaceae Enterobacterales (NME) and P. aeruginosa infecting hospitalized patients in Latin America. From 2018 to 2020, 37 clinical laboratories in nine Latin American countries participated in the SMART global surveillance program and contributed 15,466 NME and 3408 P aeruginosa isolates. MICs for IMR and seven comparators were determined using CLSI broth microdilution and interpreted by CLSI M100 (2022) breakpoints. β-lactamase genes were identified in selected isolate subsets. IMR (96.9% susceptible), amikacin (95.9%), meropenem (90.7%), and imipenem (88.7%) were the most active agents against NME. Among piperacillin/tazobactam-nonsusceptible NME (n = 4124), 90.4% of isolates were IMR-susceptible (range by country, 97.2 [Chile] to 67.0% [Guatemala]) and among meropenem-nonsusceptible NME isolates (n = 1433), 74.0% were IMR-susceptible (94.1% [Puerto Rico] to 5.1% [Guatemala]). Overall, 6.3% of all collected NME isolates carried a KPC (metallo-β-lactamase [MBL]-negative), 1.8% an MBL, 0.4% an OXA-48-like carbapenemase (MBL-negative), and 0.1% a GES carbapenemase (MBL-negative). Amikacin (85.2% susceptible) and IMR (80.1%) were the most active agents against P. aeruginosa; only 56.5% of isolates were imipenem-susceptible. Relebactam increased susceptibility to imipenem by 22.0% (from 23.9% to 45.9%) in piperacillin/tazobactam-nonsusceptible isolates (n = 1031) and by 35.5% (from 5.5% to 41.0%) in meropenem-nonsusceptible isolates (n = 1128). Overall, 7.6% of all collected P. aeruginosa isolates were MBL-positive and 0.7% carried a GES carbapenemase. In conclusion, in 2018‒2020, almost all NME (97%) and most P. aeruginosa (80%) isolates from Latin America were IMR-susceptible. Continued surveillance of the in vitro activities of IMR and comparator agents against Gram-negative pathogens, and monitoring for β-lactamase changes (in particular for increases in MBLs), is warranted.
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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".