AIMC Topic: Gram-Negative Bacterial Infections

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Estimating the association between antibiotic exposure and colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria using machine learning methods: a multicentre, prospective cohort study.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases May 23, 2019
OBJECTIVES: The aim of the study was to measure the impact of antibiotic exposure on the acquisition of colonization with extended-spectrum β-lactamase-producing Gram-negative bacteria (ESBL-GNB) accounting for individual- and group-level confounding...
Anti-Bacterial Agents Prospective Studies Female Humans Machine Learning Young Adult Adult Male Risk Factors Hospitalization Aged Serbia Gram-Negative Bacteria Gram-Negative Bacterial Infections Romania Italy beta-Lactamases Drug Therapy, Combination Middle Aged Adolescent Incidence
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In vitro activity of eravacycline against 2213 Gram-negative and 2424 Gram-positive bacterial pathogens isolated in Canadian hospital laboratories: CANWARD surveillance study 2014-2015.

Diagnostic microbiology and infectious disease Dec 22, 2017
Gram-negative (n=2213) and Gram-positive (n=2424) pathogens isolated from patients in 13 Canadian hospitals in 2014 and 2015 were tested for in vitro susceptibility to eravacycline and comparators using the Clinical and Laboratory Standards Institute...
Laboratories, Hospital Tetracyclines Microbial Sensitivity Tests Humans Anti-Bacterial Agents Canada Gram-Negative Bacteria Enterobacteriaceae Enterobacteriaceae Infections Gram-Positive Bacteria Epidemiological Monitoring Gram-Positive Bacterial Infections Gram-Negative Bacterial Infections
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Machine-learning algorithms define pathogen-specific local immune fingerprints in peritoneal dialysis patients with bacterial infections.

Kidney international Mar 17, 2017
The immune system has evolved to sense invading pathogens, control infection, and restore tissue integrity. Despite symptomatic variability in patients, unequivocal evidence that an individual's immune system distinguishes between different organisms...
Peritoneal Dialysis Pattern Recognition, Automated Host-Pathogen Interactions Gram-Positive Bacterial Infections Gram-Negative Bacterial Infections Peptide Mapping Peritonitis Acute Disease Point-of-Care Testing Nonlinear Dynamics Predictive Value of Tests Area Under Curve Humans Machine Learning Biomarkers Female Reproducibility of Results Middle Aged Time Factors Adult Aged Case-Control Studies ROC Curve Male Aged, 80 and over Adolescent Bacteria Young Adult Point-of-Care Systems
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Clinical Outcomes in Patients With Gram-Negative Infections Treated With Optimized Dosing Cefepime Over Various Minimum Inhibitory Concentrations.

Journal of pharmacy practice Mar 6, 2017
BACKGROUND: The Clinical and Laboratory Standards Institute (CLSI) revised cefepime interpretive criteria, introducing the susceptible dose-dependent category for Enterobacteriaceae with a minimum inhibitory concentration (MIC) of 4 to 8 μg/mL in 201...
Cefepime Anti-Bacterial Agents Cephalosporins Enterobacteriaceae Infections Retrospective Studies Female Gram-Negative Bacterial Infections Treatment Outcome Humans Dose-Response Relationship, Drug Enterobacteriaceae Aged Adult Middle Aged Male Microbial Sensitivity Tests Cohort Studies
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Genomic and machine learning approaches to predict antimicrobial resistance in .

Microbiology spectrum Aug 5, 2025
UNLABELLED: is a multidrug-resistant pathogen, which poses a major challenge to clinical management due to its increasing resistance to common antibiotics, such as levofloxacin (LEV) and trimethoprim-sulfamethoxazole (SXT), and poor clinical respons...
Genomics Bacterial Proteins Mutation Anti-Bacterial Agents Humans Microbial Sensitivity Tests Whole Genome Sequencing Genome, Bacterial Machine Learning Drug Resistance, Multiple, Bacterial Gram-Negative Bacterial Infections Trimethoprim, Sulfamethoxazole Drug Combination Levofloxacin Stenotrophomonas maltophilia
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