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Record W2595267236 · doi:10.1099/jmm.0.000421

Antimicrobial susceptibility of Gram-negative ESKAPE pathogens isolated from hospitalized patients with intra-abdominal and urinary tract infections in Asia–Pacific countries: SMART 2013–2015

2017· article· en· W2595267236 on OpenAlexaff
James A. Karlowsky, Daryl J. Hoban, Meredith Hackel, Sibylle Lob, Daniel F. Sahm

Bibliographic record

VenueJournal of Medical Microbiology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsImipenemAmikacinMicrobiologyKlebsiella pneumoniaeBroth microdilutionAcinetobacter baumanniiMedicinePseudomonas aeruginosaEnterobacterAntimicrobialCarbapenemAcinetobacterAntibioticsBiologyMinimum inhibitory concentrationAntibiotic resistanceBacteriaEscherichia coli

Abstract

fetched live from OpenAlex

Gram-negative ESKAPE pathogens (Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa and Enterobacter spp.) are responsible for increases in antimicrobial-resistant infections worldwide. We determined in vitro susceptibilities to eight parenteral antimicrobial agents using Clinical and Laboratory Standards Institute broth microdilution methodology for Gram-negative ESKAPE pathogens isolated from hospitalized patients with intra-abdominal infections (IAIs) (n=3052) and urinary tract infections (UTIs) (n=1088) in 11 Asia-Pacific countries/regions from 2013 to 2015. Amikacin (98.3, 96.4 %), imipenem (97.1, 95.5 %) and ertapenem (95.3, 93.2 %) demonstrated the highest rates of susceptibility for isolates of K. pneumoniae from IAI and UTI, respectively, whereas susceptibility to advanced-generation cephalosporins was <84 and <71 %, respectively. K. pneumoniae with an extended-spectrum β-lactamase-positive phenotype were more common in UTI (27.1 %) than IAI (16.2 %). Imipenem and amikacin were the most active agents against extended-spectrum β-lactamase-positive K. pneumoniae from IAI (95.1, 91.8 %) and UTI (94.9, 92.3 %), respectively, whereas <54 % were susceptible to piperacillin-tazobactam. Against Enterobacter spp. and P. aeruginosa, amikacin demonstrated the highest rates of susceptibility for isolates from IAI (99.7, 95.5 %) and UTI (90.9, 91.5 %), respectively. K. pneumoniae, Enterobacter spp. and P. aeruginosa from urine demonstrated lower susceptibility to levofloxacin (74.1, 81.8 and 73.8 %) than from IAI (87.6, 91.8 and 85.4 %). For A. baumannii, rates of susceptibility to all agents tested were <43 %. We conclude that the studied Gram-negative ESKAPE pathogens demonstrated reduced susceptibility to commonly prescribed advanced-generation cephalosporins, piperacillin-tazobactam and levofloxacin, while amikacin and carbapenems were the most active. Ongoing surveillance to monitor evolving resistance trends and the development of novel antimicrobial agents with potent activity against Gram-negative ESKAPE pathogens are mandatory.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.245
Teacher spread0.240 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations74
Published2017
Admission routes1
Has abstractyes

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