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Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data

Chia‐Ru Chung, Hsin‐Yao Wang, Chun-Han Yao, Li-Ching Wu, Jang‐Jih Lu, Jorng‐Tzong Horng, Tzong-Yi Lee

2023Microbiology Spectrum16 citationsDOIOpen Access PDF

Abstract

Based on a large amount of matrix-assisted laser desorption ionization–time-of-flight mass spectrometry (MALDI-TOF MS) clinical data, comprising 37,918 Escherichia coli isolates, a data-driven two-stage framework was established to evaluate the antimicrobial resistance of E. coli . Five antibiotics, including amoxicillin (AMC), ceftazidime (CAZ), ciprofloxacin (CIP), ceftriaxone (CRO), and cefuroxime (CXM), were considered for the two-stage model training, and the values of the area under the receiver operating characteristic curve (AUC) were 0.62 for AMC, 0.72 for CAZ, 0.87 for CIP, 0.72 for CRO, and 0.72 for CXM.

Topics & Concepts

CeftazidimeCiprofloxacinEscherichia coliCefuroximeMass spectrometryAntibioticsMicrobiologyAntibiotic resistanceCeftriaxoneChromatographyChemistryBiologyBacteriaPseudomonas aeruginosaGeneticsBiochemistryGeneBacterial Identification and Susceptibility TestingAntibiotic Resistance in BacteriaBiosensors and Analytical Detection
Data-Driven Two-Stage Framework for Identification and Characterization of Different Antibiotic-Resistant Escherichia coli Isolates Based on Mass Spectrometry Data | Litcius