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Fast, reliable, and versatile typing tools are essential to differentiate among related bacterial strains for epidemiological investigation and surveillance of health care-associated infection with multidrug-resistant (MDR) pathogens. The DiversiLab (DL) system is a semiautomated repetitive-sequence-based PCR system designed for rapid genotyping. The DL system performance was assessed by comparing its reproducibility, typeability, discriminatory power, and concordance with those of pulsed-field gel electrophoresis (PFGE) and multilocus sequence typing (MLST) and by assessing its epidemiological concordance on well-characterized MDR bacterial strains (n = 165). These included vanA Enterococcus faecium, extended-spectrum β-lactamase (ESBL)-producing strains of Klebsiella pneumoniae, Escherichia coli, and Acinetobacter baumannii, and ESBL- or metallo-β-lactamase (MBL)-producing Pseudomonas aeruginosa strains. The DL system showed very good performance for E. faecium and K. pneumoniae and good performance for other species, except for a discrimination index of &lt;95% for A. baumannii and E. coli (93.9% and 93.5%, respectively) and incomplete concordance with MLST for P. aeruginosa (78.6%) and E. coli (97.0%). Occasional violations of MLST assignment by DL types were noted for E. coli. Complete epidemiological concordance was observed for all pathogens, as all outbreak-associated strains clustered in identical DL types that were distinct from those of unrelated strains. In conclusion, the DL system showed good to excellent performance, making it a reliable typing tool for investigation of outbreaks caused by study pathogens, even though it was generally less discriminating than PFGE analysis. For E. coli and P. aeruginosa, MLST cannot be reliably inferred from DL type due to phylogenetic group violation or discordance.

journal of clinical microbiology

Controlled Performance Evaluation of the DiversiLab Repetitive-Sequence-Based Genotyping System for Typing Multidrug-Resistant Health Care-Associated Bacterial Pathogens