0000000000746785

AUTHOR

J. Leroy

showing 2 related works from this author

Resistance to third-generation cephalosporins in Escherichia coli in the French community: The times they are a-changin'?

2020

Since the early 2000s, Escherichia coli resistance to third-generation cephalosporins (3GCs) has been increasing in all European countries, mainly due to the spread of extended spectrum β-lactamases (ESBLs). Here we present a retrospective study that combines resistance of E. coli to 3GCs and quinolones with data on antibiotic use in the community in a region of Northeastern France.Since 2012, an observational surveillance of antimicrobial resistance and antibiotic use in the community was conducted: data on antimicrobial resistance in E. coli isolates were collected from 11 private laboratories, and consumption data were collected from the three main healthcare insurances.A significant dec…

0301 basic medicineMicrobiology (medical)Veterinary medicinemedicine.drug_classeducationResistance030106 microbiologyCephalosporinAntibioticsContext (language use)Microbial Sensitivity TestsQuinolonesmedicine.disease_causebeta-LactamasesThird generation cephalosporins03 medical and health sciencesNalidixic Acid0302 clinical medicineAntibiotic resistanceCiprofloxacinDrug Resistance BacterialOutpatientsmedicineEscherichia coliPrevalenceHumansPharmacology (medical)030212 general & internal medicineAntibiotic useEscherichia coliComputingMilieux_MISCELLANEOUSEscherichia coli InfectionsRetrospective StudiesResistance (ecology)business.industryThird-generation cephalosporinsGeneral Medicine3. Good healthAnti-Bacterial AgentsCephalosporins[SDV.MP]Life Sciences [q-bio]/Microbiology and ParasitologyInfectious Diseases[SDE]Environmental SciencesFrancebusinessInternational journal of antimicrobial agents
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Impact of clinical phenotypes on management and outcomes in European atrial fibrillation patients: a report from the ESC-EHRA EURObservational Resear…

2021

Abstract Background Epidemiological studies in atrial fibrillation (AF) illustrate that clinical complexity increase the risk of major adverse outcomes. We aimed to describe European AF patients’ clinical phenotypes and analyse the differential clinical course. Methods We performed a hierarchical cluster analysis based on Ward’s Method and Squared Euclidean Distance using 22 clinical binary variables, identifying the optimal number of clusters. We investigated differences in clinical management, use of healthcare resources and outcomes in a cohort of European AF patients from a Europe-wide observational registry. Results A total of 9363 were available for this analysis. We identified three …

RegistrieResearch Reportmedicine.medical_specialtyMajor adverse outcomeCardiovascular risk factorsCluster analysisRisk FactorsInternal medicineClinical phenotypeAtrial FibrillationEpidemiologyHumansMedicineRegistriesCluster analysiAtrial fibrillation; Clinical management; Clinical phenotypes; Cluster analysis; Major adverse outcomes; Humans; Phenotype; Registries; Research Report; Risk Factors; Atrial FibrillationClinical managementbusiness.industryProportional hazards modelRisk FactorHazard ratioRAtrial fibrillationClinical phenotypesMajor adverse outcomesGeneral Medicinemedicine.diseaseAtrial fibrillationConfidence intervalPhenotypeCohortMedicineObservational studybusinessResearch ArticleHumanBMC Medicine
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