Predominance of community-associated sequence type 59 methicillin-resistant Staphylococcus aureus in a paediatric intensive care unit Song, Qifa and Wu, Junhua and Ruan, Peisen,, 67, 408-414 (2018), doi = https://doi.org/10.1099/jmm.0.000693, publicationName = Microbiology Society, issn = 0022-2615, abstract= Purpose. To investigate the distribution of molecular types of methicillin-resistant Staphylococcus aureus (MRSA) in a paediatric intensive care unit (PICU) according to their community-associated (CA) and hospital-associated (HA) source of acquisition, and thus assess the degree to which CA-MRSA has been introduced into the PICU. Methodology. We implemented an MRSA surveillance in a PICU during 2013–2016 and investigated the genetic diversity of the isolates retrospectively using three genetic typing methods, as well as antibiograms and virulence factor profiles. Results/Key findings. From 2684 specimens, we identified 60 MRSA isolates, 43 of which were ST59 CA-MRSA. These 43 ST59 MRSA isolates could be further subtyped into 2 clusters and 7 sporadic isolates by pulsed-field gel electrophoresis, and 3 spa types, which demonstrated the genetic diversity in ST59 MRSA. Phenotypic diversity was also demonstrated among these ST59 MRSA isolates, with 12 virulence factor profiles and 4 antibiograms being identified. Epidemiological information showed that 43 ST59 MRSA isolates were both community-associated (15 isolates) and hospital-associated (28 isolates) and caused colonization and various types of infections in different age groups of children. Conclusions. Our results show that a predominant ST59 CA-MRSA has been introduced into the PICU to a significant extent. This has caused the ST59 HA-MRSA and CA-MRSA in the PICU to be indistinguishable. Our results also demonstrate that when we are interpreting situations where the causative agents of infections focus on very limited pathogenic clones, combined typing methods and epidemiological information are needed to investigate isolates’ genetic and phenotypic diversity to distinguish an outbreak from endemic cases., language=, type=