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Record W4317696124 · doi:10.1093/jacamr/dlad003

<i>In vitro</i> activity of imipenem/relebactam against piperacillin/tazobactam-resistant and meropenem-resistant non-Morganellaceae Enterobacterales and <i>Pseudomonas aeruginosa</i> collected from patients with lower respiratory tract infections in Western Europe: SMART 2018–20

2022· article· en· W4317696124 on OpenAlexaff
James A. Karlowsky, Sibylle Lob, Brune Akrich, C Andrew DeRyke, Fakhar Siddiqui, Katherine Young, Mary Motyl, Stephen Hawser, Daniel F. Sahm

Bibliographic record

VenueJAC-Antimicrobial Resistance · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsImipenemAmikacinMeropenemMicrobiologyPseudomonas aeruginosaBroth microdilutionPiperacillinTazobactamMedicineBiologyAntimicrobialAntibiotic resistanceAntibioticsMinimum inhibitory concentrationBacteria

Abstract

fetched live from OpenAlex

Abstract Objectives To describe the in vitro activity of imipenem/relebactam against non-Morganellaceae Enterobacterales (NME) and Pseudomonas aeruginosa recently isolated from lower respiratory tract infection samples by hospital laboratories in Western Europe. Methods From 2018 to 2020, 29 hospital laboratories in six countries in Western Europe participated in the SMART global surveillance programme and contributed 4414 NME and 1995 P. aeruginosa isolates. MICs were determined using the CLSI broth microdilution method and interpreted by EUCAST (2021) breakpoints. β-Lactamase genes were identified in selected isolate subsets (2018–20) and oprD sequenced in molecularly characterized P. aeruginosa (2020). Results Imipenem/relebactam (99.1% susceptible), amikacin (97.2%), meropenem (96.1%) and imipenem (95.9%) were the most active agents tested against NME; by country, relebactam increased imipenem susceptibility from &amp;lt;1% (France, Germany, UK) to 11.0% (Italy). A total of 96.0% of piperacillin/tazobactam-resistant (n = 990) and 81.1% of meropenem-resistant (n = 106) NME were imipenem/relebactam-susceptible. Only 0.5% of NME were MBL positive, 0.9% were OXA-48-like-positive (MBL negative) and 2.8% were KPC positive (MBL negative). Amikacin (91.5% susceptible) and imipenem/relebactam (91.4%) were the most active agents against P. aeruginosa; 72.3% of isolates were imipenem-susceptible. Relebactam increased susceptibility to imipenem by 34.4% (range by country, 39.1%–73.5%) in piperacillin/tazobactam-resistant and by 37.4% (3.1%–40.5%) in meropenem-resistant P. aeruginosa. Only 1.8% of P. aeruginosa isolates were MBL positive. Among molecularly characterized imipenem/relebactam-resistant P. aeruginosa isolates from 2020, 90.9% (30/33) were oprD deficient. Conclusions Imipenem/relebactam appears to be a potential treatment option for lower respiratory tract infections caused by piperacillin/tazobactam- and meropenem-resistant NME and P. aeruginosa in Western Europe.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.201
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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