AIMC Topic: Carbapenems

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Predicting carbapenem-resistant Pseudomonas aeruginosa infection risk using XGBoost model and explainability.

Scientific reports Jun 5, 2025
The prevalence and spread of carbapenem-resistant Pseudomonas aeruginosa (CRPA) is a global public health problem. This study aims to identify the risk factors of CRPA infection and construct a machine learning model to provide a prediction tool for ...
Female Risk Factors Aged Adult Humans Machine Learning Anti-Bacterial Agents Drug Resistance, Bacterial Carbapenems Cross Infection Pseudomonas Infections Boosting Machine Learning Algorithms Male Middle Aged ROC Curve Pseudomonas aeruginosa
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Rapid detection of carbapenem-resistant Escherichia coli and carbapenem-resistant Klebsiella pneumoniae in positive blood cultures via MALDI-TOF MS and tree-based machine learning models.

BMC microbiology Jan 24, 2025
BACKGROUND: Bloodstream infection (BSI) is a systemic infection that predisposes individuals to sepsis and multiple organ dysfunction syndrome. Early identification of infectious agents and determination of drug-resistant phenotypes can help patients...
Blood Culture Klebsiella Infections Anti-Bacterial Agents Escherichia coli Escherichia coli Infections Humans Microbial Sensitivity Tests Decision Trees Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Machine Learning Klebsiella pneumoniae Carbapenems Bacteremia Carbapenem-Resistant Enterobacteriaceae
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A novel approach to antimicrobial resistance: Machine learning predictions for carbapenem-resistant Klebsiella in intensive care units.

International journal of medical informatics Dec 7, 2024
This study was conducted at Kocaeli University Hospital in Turkey and aimed to predict carbapenem-resistant Klebsiella pneumoniae infection in intensive care units using the Extreme Gradient Boosting (XGBoost) algorithm, a form of artificial intellig...
Retrospective Studies Intensive Care Units Female Aged Machine Learning Algorithms Anti-Bacterial Agents Drug Resistance, Bacterial Klebsiella pneumoniae Klebsiella Infections Turkey Carbapenems Adult Male Middle Aged Case-Control Studies Humans Carbapenem-Resistant Enterobacteriaceae
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Predictive modeling of mortality in carbapenem-resistant bloodstream infections using machine learning.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research Jul 30, 2024
, a notable drug-resistant bacterium, often induces severe infections in healthcare settings, prompting a deeper exploration of treatment alternatives due to escalating carbapenem resistance. This study meticulously examined clinical, microbiological...
Aged Male Middle Aged Bacteremia Humans Acinetobacter Infections Machine Learning Acinetobacter baumannii Drug Resistance, Bacterial Carbapenems Female
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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.
Carbapenems Gram-Negative Bacteria Retrospective Studies Gram-Negative Bacterial Infections Intensive Care Units Female Humans Aged Machine Learning Adult Anti-Bacterial Agents Male Drug Resistance, Bacterial Middle Aged Bacteremia
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A Pragmatic Machine Learning Model To Predict Carbapenem Resistance.

Antimicrobial agents and chemotherapy Jun 17, 2021
Infection caused by carbapenem-resistant (CR) organisms is a rising problem in the United States. While the risk factors for antibiotic resistance are well known, there remains a large need for the early identification of antibiotic-resistant infecti...
Humans Machine Learning Retrospective Studies Risk Assessment Predictive Value of Tests Carbapenems
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Amplification Curve Analysis: Data-Driven Multiplexing Using Real-Time Digital PCR.

Analytical chemistry Sep 18, 2020
Information about the kinetics of PCR reactions is encoded in the amplification curve. However, in digital PCR (dPCR), this information is typically neglected by collapsing each amplification curve into a binary output (positive/negative). Here, we d...
Machine Learning Real-Time Polymerase Chain Reaction beta-Lactamases Carbapenems
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Using machine learning to optimize antibiotic combinations: dosing strategies for meropenem and polymyxin B against carbapenem-resistant Acinetobacter baumannii.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 12, 2020
OBJECTIVES: Increased rates of carbapenem-resistant strains of Acinetobacter baumannii have forced clinicians to rely upon last-line agents, such as the polymyxins, or empirical, unoptimized combination therapy. Therefore, the objectives of this stud...
Carbapenems Polymyxin B Drug Therapy, Combination Meropenem Acinetobacter Infections Acinetobacter baumannii Anti-Bacterial Agents Drug Resistance, Bacterial Microbial Sensitivity Tests Humans Machine Learning
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Detection of carbapenem-resistant Klebsiella pneumoniae on the basis of matrix-assisted laser desorption ionization time-of-flight mass spectrometry by using supervised machine learning approach.

PloS one Feb 6, 2020
BACKGROUND: Carbapenem-resistant Klebsiella pneumoniae (CRKP) is emerging as a significant pathogen causing healthcare-associated infections. Matrix-assisted laser desorption/ionisation mass spectrometry time-of-flight mass spectrometry (MALDI-TOF MS...
Klebsiella pneumoniae DNA, Bacterial Klebsiella Infections Predictive Value of Tests Humans Algorithms Anti-Bacterial Agents Microbial Sensitivity Tests Carbapenem-Resistant Enterobacteriaceae Random Amplified Polymorphic DNA Technique Supervised Machine Learning Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Carbapenems Cross Infection
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Molecular mechanisms of antibiotic co-resistance among carbapenem resistant Acinetobacter baumannii.

Journal of infection in developing countries Oct 31, 2019
INTRODUCTION: The spread of carbapenem-resistant Acinetobacter baumannii (CRAB) is difficult to control especially in the hospitals due to the successful mobilization and evolution of the genetic elements harboring the resistant determinants. The stu...
Drug Resistance, Microbial Male Humans Acinetobacter baumannii beta-Lactamases Microbial Sensitivity Tests Carbapenems Anti-Bacterial Agents Pakistan Bacterial Proteins Colistin Acinetobacter Infections Female Tertiary Care Centers Tigecycline
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