Article

Using the Association Between Antibiotic Susceptibility and Genetic Relatedness to Rescue Old Drugs for Empiric Use

2019-11-29

Abstract excerpt

<h4>Background</h4> Rising rates of antibiotic resistance have led to the use of broader spectrum antibiotics and increasingly compromise empiric therapy. Knowing the antibiotic susceptibility of a pathogen’s close genetic relative(s) may improve empiric antibiotic selection. <h4>Methods</h4> Using genomic and phenotypic data from three separate clinically-derived databases of Escherichia coli isolates, we evaluat...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 3085c9c8-a8fc-5ff1-b573-6100b9886526
DOI: 10.1101/19006106

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Using the Association Between Antibiotic Susceptibility and Genetic Relatedness to Rescue Old Drugs for Empiric UseDOI 10.1101/19006106Read

Genomic Epidemiology and Emerging Mechanisms of Antibiotic Resistance Among Clinically Significant BacteriaSemantic proximity Read

Antibiotic resistance determination using Enterococcus faecium whole-genome sequences: a diagnostic accuracy study using genotypic and phenotypic data.Semantic proximity Read

Personal clinical history predicts antibiotic resistance in urinary tract infectionsSemantic proximity Read

Establishing Genotype-to-Phenotype Relationships in Bacteria Causing Hospital-Acquired Pneumonia: A Prelude to the Application of Clinical MetagenomicsSemantic proximity Read

Exploring the extent of uncatalogued genetic variation in antimicrobial resistance gene families in<i>Escherichia coli</i>Semantic proximity Read

Integrated evaluation of rapid diagnostic testing, genotypic-phenotypic resistance profiling, and AI-Assisted prediction models for antimicrobial stewardship and clinical outcomes in a resource-limited setting.Semantic proximity Read

Precise prediction of antibiotic resistance in <i>Escherichia coli</i> from full genome sequencesSemantic proximity Read

Machine learning models to identify patient and microbial genetic factors associated with carbapenem-resistant<i>Klebsiella pneumoniae</i>infectionSemantic proximity Read

Quantifying the surveillance required to sustain genetic marker-based antibiotic resistance diagnosticsSemantic proximity Read

The clinical, genomic, and microbiological profile of invasive multi-drug resistant Escherichia coli in a major teaching hospital in the United KingdomSemantic proximity Read

Decoding Host-Pathogen Interactions in <i>Staphylococcus aureus</i> : Insights into Allelic Variation and Antimicrobial Resistance Prediction Using Artificial Intelligence and Machine Learning based approachesSemantic proximity Read

Phylogenetic context of antibiotic resistance provides insights into the dynamics of resistance emergence and spreadSemantic proximity Read