Correction to: Antimicrob Resist Infect Control (2022) Jun 2;11(1):76. https://doi.org/10.1186/s13756-022-01118-7.

The authors wish to make the following corrections to the article. First, the original article [1] contained an error in Table 2. Two isolates reported as Klebsiella pneumoniae proved to be Klebsiella aerogenes. Additionally, isolates identified as Proteus vulgaris involved different Proteus species. Second, discrepancies were identified in the results of the whole genome sequencing analyses presented in Additional file 2. These were corrected, and the description of the methods were adjusted accordingly. The correct table, methods, and Additional file 2 are located ahead in this Correction article and should be considered instead.

Table 2 Number of patients who were positive for ESBL-producing Enterobacterales at admission, at discharge, and the number of patients who acquired an ESBL-producing Enterobacterales
Full size table

Methods

Whole genome sequencing

WGS was performed for all identified ESBL-E isolates. Total genomic DNA was extracted using the MagNA Pure 96 platform (Roche Applied Science, Mannheim, Germany). Genomic DNA was fragmented by shearing to a size of ~ 350 bp. Libraries were prepared using the NEBNext® DNA Library Prep kit (New England Biolabs, Ipswich, MA, USA) and subjected to 150 bp paired-end sequencing creating > 100 × coverage using Illumina technology (Novogene, HongKong, China). De novo genomic assemblies were generated using CLC Genomics Workbench v21 (Qiagen, Hilden Germany) using default parameters. Antimicrobial resistance (AMR) genes were detected and identified using the web-based Comprehensive Antibiotic Resistance Database (CARD) interface (https://card.mcmaster.ca/) restricted to perfect and strict hits [16]. Conventional multi locus sequence types (MLST) and core-genome MLST cluster types were determined using each species’ corresponding scheme (https://cgmlst.org/ncs) in SeqSphere + v5 software (Ridom, Munster, Germany). The identity of all strains was verified by analyzing the genomic assemblies using the online TYGS platform (https://tygs.dsmz.de/) [17].