AIMC Topic: Gram-Negative Bacterial Infections

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Development and evaluation of a direct disk diffusion, rapid antimicrobial susceptibility testing method from blood culture positive for Gram-negative bacilli using rapid molecular testing and microbiology laboratory automation.

Microbiology spectrum May 15, 2025
Rapid antimicrobial susceptibility testing (RAST) using disk diffusion (DD) from positive blood cultures (BC) can aid initiation of effective antimicrobial therapy. Rapid molecular blood culture identification panels (BCID) and microbiology laborator...
Humans Escherichia coli Pseudomonas aeruginosa Disk Diffusion Antimicrobial Tests Gram-Negative Bacteria Gram-Negative Bacterial Infections Automation, Laboratory Anti-Bacterial Agents Microbial Sensitivity Tests Klebsiella pneumoniae Blood Culture
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High procalcitonin level is related to blood stream infections, gram-negative pathogens, and ICU admission in infections of adult febrile cancer patients.

Journal of the Egyptian National Cancer Institute May 10, 2025
BACKGROUND: Blood stream infection (BSI) represent a life-threatening condition. Thus, we aimed to investigate the role of procalcitonin (PCT) and C-reactive protein (CRP) tests in adult febrile patients with BSI and other clinical infections in hosp...
Blood Culture Procalcitonin C-Reactive Protein Fever Gram-Negative Bacteria Male Humans Middle Aged Gram-Negative Bacterial Infections Biomarkers Neoplasms Intensive Care Units Bacteremia Female Aged Adult
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A novel machine-learning aided platform for rapid detection of urine ESBLs and carbapenemases: URECA-LAMP.

Journal of clinical microbiology Oct 24, 2024
Pathogenic gram-negative bacteria frequently carry genes encoding extended-spectrum beta-lactamases (ESBL) and/or carbapenemases. Of great concern are carbapenem resistant , , and . Despite the need for rapid AMR diagnostics globally, current molecu...
beta-Lactamases Acinetobacter baumannii Gram-Negative Bacteria Gram-Negative Bacterial Infections Sensitivity and Specificity Smartphone Molecular Diagnostic Techniques Nucleic Acid Amplification Techniques Bacterial Proteins Humans Machine Learning
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Innovative strategies against superbugs: Developing an AI-CDSS for precise Stenotrophomonas maltophilia treatment.

Journal of global antimicrobial resistance Jun 22, 2024
OBJECTIVES: The World Health Organization named Stenotrophomonas maltophilia (SM) a critical multi-drug resistant threat, necessitating rapid diagnostic strategies. Traditional culturing methods require up to 96 h, including 72 h for bacterial growth...
Microbial Sensitivity Tests Humans Drug Resistance, Multiple, Bacterial Artificial Intelligence Decision Support Systems, Clinical Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Anti-Bacterial Agents Gram-Negative Bacterial Infections Levofloxacin Trimethoprim, Sulfamethoxazole Drug Combination Stenotrophomonas maltophilia
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Prediction of carbapenem-resistant gram-negative bacterial bloodstream infection in intensive care unit based on machine learning.

BMC medical informatics and decision making May 14, 2024
BACKGROUND: Predicting whether Carbapenem-Resistant Gram-Negative Bacterial (CRGNB) cause bloodstream infection when giving advice may guide the use of antibiotics because it takes 2-5 days conventionally to return the results from doctor's order.
Intensive Care Units Female Aged Adult Male Humans Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Retrospective Studies Gram-Negative Bacterial Infections Middle Aged Bacteremia Carbapenems Gram-Negative Bacteria
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Machine learning algorithms to predict colistin-induced nephrotoxicity from electronic health records in patients with multidrug-resistant Gram-negative infection.

International journal of antimicrobial agents Apr 19, 2024
OBJECTIVES: Colistin-induced nephrotoxicity prolongs hospitalisation and increases mortality. The study aimed to construct machine learning models to predict colistin-induced nephrotoxicity in patients with multidrug-resistant Gram-negative infection...
Middle Aged Drug Resistance, Multiple, Bacterial ROC Curve Colistin Gram-Negative Bacterial Infections Electronic Health Records Female Aged Adult Male Humans Machine Learning Algorithms Anti-Bacterial Agents Retrospective Studies
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Machine Learning Algorithms Identify Pathogen-Specific Biomarkers of Clinical and Metabolomic Characteristics in Septic Patients with Bacterial Infections.

BioMed research international Jul 27, 2020
Sepsis is a high-mortality disease that is infected by bacteria, but pathogens in individual patients are difficult to diagnosis. Metabolomic changes triggered by microbial activity provide us with the possibility of accurately identifying infection....
Middle Aged Diagnosis, Computer-Assisted Sepsis Gram-Positive Bacterial Infections Databases, Factual Humans Gram-Negative Bacterial Infections Biomarkers Machine Learning Female Aged Male
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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...
Gram-Negative Bacterial Infections Romania Adult Male Middle Aged Adolescent Incidence Italy beta-Lactamases Drug Therapy, Combination Serbia Gram-Negative Bacteria Female Risk Factors Hospitalization Aged Young Adult Humans Machine Learning Anti-Bacterial Agents Prospective Studies
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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...
Epidemiological Monitoring Enterobacteriaceae Humans Gram-Negative Bacterial Infections Anti-Bacterial Agents Laboratories, Hospital Gram-Negative Bacteria Tetracyclines Gram-Positive Bacteria Microbial Sensitivity Tests Gram-Positive Bacterial Infections Canada Enterobacteriaceae 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...
Area Under Curve Acute Disease Point-of-Care Testing Reproducibility of Results Humans Aged Peritoneal Dialysis Adolescent Host-Pathogen Interactions Time Factors Gram-Positive Bacterial Infections Male ROC Curve Gram-Negative Bacterial Infections Bacteria Peptide Mapping Point-of-Care Systems Predictive Value of Tests Peritonitis Middle Aged Nonlinear Dynamics Case-Control Studies Pattern Recognition, Automated Machine Learning Biomarkers Female Aged, 80 and over Young Adult Adult
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