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Early identification of a ward-based outbreak of Clostridioides difficile using prospective multilocus sequence type-based Oxford Nanopore genomic surveillance.
Bloomfield, Max; Hutton, Samantha; Burton, Megan; Tarring, Claire; Velasco, Charles; Clissold, Carolyn; Balm, Michelle; Kelly, Matthew; Macartney-Coxson, Donia; White, Rhys.
Afiliação
  • Bloomfield M; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Hutton S; Te Whatu Ora/Health New Zealand, Infection Prevention and Control, Capital, Coast and Hutt Valley, Wellington, New Zealand.
  • Burton M; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Tarring C; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Velasco C; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Clissold C; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Balm M; Te Whatu Ora/Health New Zealand, Infection Prevention and Control, Capital, Coast and Hutt Valley, Wellington, New Zealand.
  • Kelly M; Awanui Labs Wellington, Department of Microbiology and Molecular Pathology, Wellington, New Zealand.
  • Macartney-Coxson D; Te Whatu Ora/Health New Zealand, Infection Prevention and Control, Capital, Coast and Hutt Valley, Wellington, New Zealand.
  • White R; Te Whatu Ora/Health New Zealand, Infection Prevention and Control, Capital, Coast and Hutt Valley, Wellington, New Zealand.
Infect Control Hosp Epidemiol ; : 1-7, 2024 May 06.
Article em En | MEDLINE | ID: mdl-38706217
ABSTRACT

OBJECTIVE:

To describe an outbreak of sequence type (ST)2 Clostridioides difficile infection (CDI) detected by a recently implemented multilocus sequence type (MLST)-based prospective genomic surveillance system using Oxford Nanopore Technologies (ONT) sequencing.

SETTING:

Hemato-oncology ward of a public tertiary referral centre.

METHODS:

From February 2022, we began prospectively sequencing all C. difficile isolated from inpatients at our institution on the ONT MinION device, with the output being an MLST. Bed-movement data are used to construct real-time ST-specific incidence charts based on ward exposures over the preceding three months.

RESULTS:

Between February and October 2022, 76 of 118 (64.4%) CDI cases were successfully sequenced. There was wide ST variation across cases and the hospital, with only four different STs being seen in >4 patients. A clear predominance of ST2 CDI cases emerged among patients with exposure to our hemato-oncology ward between May and October 2022, which totalled ten patients. There was no detectable rise in overall CDI incidence for the ward or hospital due to the outbreak. Following a change in cleaning product to an accelerated hydrogen peroxide wipe and several other interventions, no further outbreak-associated ST2 cases were detected. A retrospective phylogenetic analysis using original sequence data showed clustering of the suspected outbreak cases, with the exception of two cases that were retrospectively excluded from the outbreak.

CONCLUSIONS:

Prospective genomic surveillance of C. difficile using ONT sequencing permitted the identification of an outbreak of ST2 CDI that would have otherwise gone undetected.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article