Correction to: BMC Infect Dis 21, 571 (2021)
https://doi.org/10.1186/s12879-021-06287-1
Following publication of the original article [1], the authors identified an error in the Supplementary file. The revised and correct version of the Supplementary file is given below:
Furthermore, a typo was found in an author’s affiliation.
The incorrect affiliation name is:
Center for Research in Epidemiology and Population Health ou (CESP), INSERM U1018, Paris-Saclay University, UVSQ, Montigny-Le-Bretonneux, France
The correct affiliation name is:
Center for Research in Epidemiology and Population Health (CESP), INSERM U1018, Paris-Saclay University, UVSQ, Montigny-Le-Bretonneux, France
The original article has been corrected as well.
Supplementary Information
Additional file 1: Supplement S1: Database description and patient selection. Table S1: ICD-10 codes used. Table S2: Selected bacteria included and associated resistance markers. Supplement S2: Algorithms for identification of risk factors. Table S3: Code list for definition of potential risk factors. Table S4: Conditional univariate logistic regression: Risk factors of having a community-acquired or healthcare-associated urinary tract infection caused by a resistant bacterium compared with a susceptible one, by gender. Table S5: Number of antibiotic dispensing during the previous 3 months. Table S6. Characteristics of patients excluded and included for analysis of association between antibiotic classes and resistant-bacterial acquisition.
Reference
- 1.Opatowski M, et al. Antibiotic prescriptions and risk factors for antimicrobial resistance in patients hospitalized with urinary tract infection: a matched case-control study using the French health insurance database (SNDS) BMC Infect Dis. 2021;21:571. doi: 10.1186/s12879-021-06287-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
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Supplementary Materials
Additional file 1: Supplement S1: Database description and patient selection. Table S1: ICD-10 codes used. Table S2: Selected bacteria included and associated resistance markers. Supplement S2: Algorithms for identification of risk factors. Table S3: Code list for definition of potential risk factors. Table S4: Conditional univariate logistic regression: Risk factors of having a community-acquired or healthcare-associated urinary tract infection caused by a resistant bacterium compared with a susceptible one, by gender. Table S5: Number of antibiotic dispensing during the previous 3 months. Table S6. Characteristics of patients excluded and included for analysis of association between antibiotic classes and resistant-bacterial acquisition.