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Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains.

ABSTRACT: The burden of antibiotic resistance is currently estimated by mathematical modeling, without real count of resistance to key antibiotics. Here we report the real rate of resistance to key antibiotics in bacteria isolated from humans during a 5 years period in a large area in southeast in France. We conducted a retrospective study on antibiotic susceptibility of 539,107 clinical strains isolated from hospital and private laboratories in south of France area from January 2014 to January 2019. The resistance rate to key antibiotics as well as the proportion of bacteria classified as Difficult-to-Treat (DTR) were determined and compared with the Mann-Whitney U test, the ?2 test or the Fisher's exact test. Among 539,037 isolates, we did not observe any significant increase or decrease in resistance to key antibiotics for 5 years, (oxacillin resistance in Staphylococcus aureus, carbapenem resistance in enterobacteria and Pseudomonas aeruginosa and 3rd generation cephalosporin resistance in Escherichia coli and Klebsiella pneumoniae). However, we observed a significant decrease in imipenem resistance for Acinetobacter baumannii from 2014 to 2018 (24.19-12.27%; p?=?0.005) and a significant increase of ceftriaxone resistance in Klebsiella pneumoniae (9.9-24.03%; p?=?0.001) and Enterobacter cloacae (24.05-42.05%; p?=?0.004). Of these 539,037 isolates, 1604 (0.3%) had a DTR phenotype. Over a 5-year period, we did not observe a burden of AR in our region despite a high rate of antibiotic consumption in our country. These results highlight the need for implementation of real-time AR surveillance systems which use factual data.

SUBMITTER: Diallo OO

PROVIDER: S-EPMC7588456 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains.

Diallo Ousmane Oumou OO Baron Sophie Alexandra SA Dubourg Gregory G Chaudet Hervé H Halfon Philippe P Camiade Sabine S Comte Béatrice B Joubert Stéphanie S François Arnaud A Seyral Philippe P Parisot François F Casalta Jean-Paul JP Ruimy Raymond R Maruejouls Christophe C Achiardy Jean-Christophe JC Burignat Sophie S Carvajal Joseph J Delaunay Edouard E Meyer Sandra S Levy Pierre-Yves PY Roussellier Patricia P Brunet Patrick P Bosi Claude C Stolidi Philippe P Arzouni Jean-Pierre JP Gay Gisele G Hance Pierre P Colson Philippe P Raoult Didier D Rolain Jean-Marc JM

Scientific reports 20201026 1

The burden of antibiotic resistance is currently estimated by mathematical modeling, without real count of resistance to key antibiotics. Here we report the real rate of resistance to key antibiotics in bacteria isolated from humans during a 5 years period in a large area in southeast in France. We conducted a retrospective study on antibiotic susceptibility of 539,107 clinical strains isolated from hospital and private laboratories in south of France area from January 2014 to January 2019. The ...[more]

PMID: 33106494

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Dataset Information

Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains.

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Major discrepancy between factual antibiotic resistance and consumption in South of France: analysis of 539,037 bacterial strains.

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