RESUMO
OBJECTIVES: To study the genomic epidemiology of Streptococcus pyogenes causing bloodstream infections (GAS-BSI) in a Spanish tertiary hospital during the United Kingdom invasive S. pyogenes outbreak alert. METHODS: Retrospective epidemiological analysis of GAS-BSI during the January-May 2017-2023 period. WGS was performed using Ion torrent GeneStudio™ S5 system for emm typing and identification of superantigen genes in S. pyogenes isolated during the 2022-2023 UK outbreak alert. RESULTS: During 2023, there were more cases of GAS-BSI compared to the same period of previous year with a non-significant increase in children. Fourteen isolates were sequenced. The emm1 (6/14, 42.9%) and emm12 (2/14, 14.3%) types predominated; 5 of 6 (75%) emm1 isolates were from the M1UK clone. The most detected superantigen genes were speG (12/14, 85.7%), speC (10/14, 71.4%), speJ (7/14, 50%), and speA (5/15, 33.3%). speA and speJ were predominant in M1UK clone. CONCLUSIONS: Our genomic epidemiology in 2023 is similar to the reported data from the UK outbreak alert in the same period and different from previous national S. pyogenes surveillance reports.