Genomic Characteristics Behind the Spread of Bacteremic Group A Streptococcus Type emm89 in Finland, 2004-2014

Francesca Latronico, Waleed Nasser, Kai Puhakainen, Jukka Ollgren, Hanne-Leena Hyyryläinen, Stephen B Beres, Outi Lyytikäinen, Jari Jalava, James M Musser, Jaana Vuopio

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

BACKGROUND:  Many countries worldwide have reported increasing numbers of emm89 group A Streptococcus (GAS) infections during last decade. Pathogen genetic factors linked to this increase need assessment.

METHODS:  We investigated epidemiological characteristics of emm89 GAS bacteremic infections, including 7-day and 30-day case-fatality rates, in Finland during 2004-2014 and linked them to whole-genome sequencing data obtained from corresponding strains. The Fisher exact test and exact logistic regression were used to compare differences between bacteremic infections due to emm89 GAS belonging to different genetic clades and subclades.

RESULTS:  Out of 1928 cases of GAS bacteremic infection, 278 were caused by emm89 GAS. We identified 2 genetically distinct clades, arbitrarily designated clade 2 and clade 3. Both clades were present during 2004-2008, but clade 3 increased rapidly from 2009 onward. Six subclades (designated subclades A-F) were identified within clade 3, based on phylogenetic core genome analysis. The case-fatality rate differed significantly between subclades (P < .05), with subclade D having the highest 30-day estimated case-fatality rate (19% vs 3%-14%).

CONCLUSIONS:  A new emm89 clone, clade 3, emerged in 2009 and spread rapidly in Finland. Patients infected with certain subclades of clade 3 were significantly more likely to die. A specific polymerase chain reaction assay was developed to follow the spread of subclade D in 2015.

Original languageEnglish (US)
Pages (from-to)1987-1995
Number of pages9
JournalJournal of Infectious Diseases
Volume214
Issue number12
DOIs
StatePublished - Dec 15 2016

Keywords

  • Streptococcus pyogenes
  • Bacteremia
  • Whole genome sequencing

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