Cumulative survival profiling: a new PAP-based method for detecting heteroresistance in staphylococcal clinical isolates
Alsallaq, R. A.; Dao, T.; Rosch, J. W.; Margolis, E.
Show abstract
The area under the population analysis profile (PAP) is used in the gold standard method for detecting heteroresistance in staphylococci. We tested the hypothesis that the initial inoculum strongly influences the area under the population analysis profile. We sought to interpret this dependence and develop a new metric that lacks this dependence to retrospectively detect heteroresistance to vancomycin in coagulase-negative staphylococcal (CoNS) isolates. We tested our hypothesis on 20 PAPs from the heteroresistant positive control isolate (Mu3) and 7 PAPs from one CoNS isolate which is associated with poor clinical response. The area under the PAP depended linearly (p<0.001) on the initial inoculum. We interpreted the slope to be the cumulative survival under vancomycine concentration gradient. The statistical distribution of the cumulative survival for Mu3 and the CoNS isolate constituted the cumulative survival profiles for each. The profiles reflect ed spectrum of response under vancomycine gradient with the left-tail of CoNS isolate profile located near the median of Mu3 profile indicating the heteroresistance of the CoNS isolate and that the most resistant in the spectrum are likely to be associated with poor clinical response. We estimated that about two-third of the CoNS from unique participants are heteroresistant with 80% of heteroresistant isolates may be associated with a poor clinical response.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Synergistic cefiderocol-containing antibiotic combinations active against highly drug-resistant Acinetobacter baumannii patient isolates with diverse resistance mechanisms 95%
- Heme is crucial for medium-dependent metronidazole resistance in clinical isolates of C. difficile 95%
- Bacterial genotypic and patient risk factors for adverse outcomes in Escherichia coli bloodstream infections: a prospective molecular-epidemiological study 94%
Similar papers in this journal
- Antimicrobial Susceptibilities of Clinical Bacterial Isolates from Urinary Tract Infections to Fosfomycin and Comparator Antibiotics Determined by Agar Dilution Method and Automated Micro Broth Dilution 96%
- Rapid nanopore metagenomic sequencing and predictive susceptibility testing of positive blood cultures from intensive care patients with sepsis 95%
- Acinetobacter baumannii and cefiderocol between cidality and adaptability 95%
Similar papers in this journal
- A Panel of Diverse Pseudomonas aeruginosa Clinical Isolates for Research and Development 94%
- Tracking Antimicrobial Resistant Organisms Timely (TAROT): A Workflow Validation Study for Successive Core-genome SNP-based Nosocomial Transmission Analysis 93%
- Predominance of multidrug-resistant (MDR) bacteria causing urinary tract infections (UTIs) among symptomatic patients in East Africa: a call for action 92%
Similar papers in this journal
- A multicenter evaluation of a novel microfluidic rapid AST assay for Gram-negative bloodstream infections 95%
- The Role of fosA in Challenges with Fosfomycin Susceptibility Testing of Multispecies Klebsiella pneumoniae Carbapenemase-Producing Clinical Isolates 95%
- GPT-4 based AI agents - the new expert system for detection of antimicrobial resistance mechanisms? 95%
Similar papers in this journal
- Surveillance of colistin-resistance and mcr genes in multi-drug resistant Enterobacteriaceae 92%
- Serum Concentration of Continuously administered Vancomycin influences Efficacy and Safety in Critically Ill Adults: A Systematic Review 91%
- No one-size-fits-all approach: Retrospective analysis of efficacy and safety of serum concentrations of continuously administered vancomycin in critically ill adults reveals different target serum concentrations depending on disease severity 91%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.