MétaCan
Menu
Back to cohort
Record W3093891877 · doi:10.1093/cid/ciaa1479

Association Between Minimum Inhibitory Concentration, Beta-lactamase Genes and Mortality for Patients Treated With Piperacillin/Tazobactam or Meropenem From the MERINO Study

2020· article· en· W3093891877 on OpenAlexaff
Andrew Henderson, David L. Paterson, Mark D. Chatfield, Paul Anantharajah Tambyah, David Chien Lye, Partha Pratim De, R.T.P. Lin, Ka Lip Chew, Yin Mo, T H Lee, Mesut Yılmaz, Rümeysa Çakmak, Thamer H. Alenazi, Yaseen M. Arabi, Marco Falcone, Matteo Bassetti, Elda Righi, Benjamin A. Rogers, Souha S. Kanj, Hasan Bhally, Jonathan R. Iredell, Marc Mendelson, Tom Boyles, David Looke, Spiros Miyakis, Genevieve Walls, Mwinyi Khamis, Ahmed Zikri, Amy Crowe, Paul R. Ingram, Nick Daneman, Paul Griffin, Eugene Athan, Leah W. Roberts, Scott A. Beatson, Anton Y. Peleg, Kyra Cottrell, Michelle J. Bauer, Elizabeth N. Tan, Khin Chaw, Graeme R. Nimmo, Tiffany Harris‐Brown, Patrick N. A. Harris, Peter O. Newton, H Wren, Maryza Graham, Tony M. Korman, Sameera Aljohani, Bassam Alalwan, Khizra Sultana, Assunta Sartor, Darren Welch, Gunnar Kahlmeter

Bibliographic record

VenueClinical Infectious Diseases · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersNational Health and Medical Research Council
KeywordsPiperacillin/tazobactamMeropenemMedicinePiperacillinTazobactamOdds ratioInternal medicineBroth microdilutionMinimum inhibitory concentrationBeta-Lactamase InhibitorsMicrobiologyGastroenterologyAntibioticsBiologyAntibiotic resistanceImipenemGeneticsBacteriaPseudomonas aeruginosa

Abstract

fetched live from OpenAlex

INTRODUCTION: This study aims to assess the association of piperacillin/tazobactam and meropenem minimum inhibitory concentration (MIC) and beta-lactam resistance genes with mortality in the MERINO trial. METHODS: Blood culture isolates from enrolled patients were tested by broth microdilution and whole genome sequencing at a central laboratory. Multivariate logistic regression was performed to account for confounders. Absolute risk increase for 30-day mortality between treatment groups was calculated for the primary analysis (PA) and the microbiologic assessable (MA) populations. RESULTS: In total, 320 isolates from 379 enrolled patients were available with susceptibility to piperacillin/tazobactam 94% and meropenem 100%. The piperacillin/tazobactam nonsusceptible breakpoint (MIC >16 mg/L) best predicted 30-day mortality after accounting for confounders (odds ratio 14.9, 95% confidence interval [CI] 2.8-87.2). The absolute risk increase for 30-day mortality for patients treated with piperacillin/tazobactam compared with meropenem was 9% (95% CI 3%-15%) and 8% (95% CI 2%-15%) for the original PA population and the post hoc MA populations, which reduced to 5% (95% CI -1% to 10%) after excluding strains with piperacillin/tazobactam MIC values >16 mg/L. Isolates coharboring extended spectrum β-lactamase (ESBL) and OXA-1 genes were associated with elevated piperacillin/tazobactam MICs and the highest risk increase in 30-day mortality of 14% (95% CI 2%-28%). CONCLUSIONS: After excluding nonsusceptible strains, the 30-day mortality difference from the MERINO trial was less pronounced for piperacillin/tazobactam. Poor reliability in susceptibility testing performance for piperacillin/tazobactam and the high prevalence of OXA coharboring ESBLs suggests that meropenem remains the preferred choice for definitive treatment of ceftriaxone nonsusceptible Escherichia coli and Klebsiella.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.521

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.319
Teacher spread0.285 · 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.

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

Citations158
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueClinical Infectious DiseasesSame topicAntibiotic Resistance in BacteriaFrench-language works237,207