4.3 Article

Surveillance of strangles in UK horses between 2015 and 2019 based on laboratory detection of Streptococcus equi

Journal

VETERINARY RECORD
Volume 189, Issue 12, Pages -

Publisher

WILEY
DOI: 10.1002/vetr.948

Keywords

strangles; Streptococcus equi; surveillance

Funding

  1. Horse Trust
  2. South Essex Insurance Brokers

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This study provides insights into the diagnosis and clinical features of strangles in UK horses from 2015 to 2019, with a focus on symptoms such as nasal discharge and fever. However, limited or missing clinical history and signalment on laboratory submission forms restrict the completeness of the data.
Background Previously national surveillance data for monitoring strangles (Streptococcus equi infection) in UK horses was limited. Improved awareness and knowledge of positive diagnoses would permit the optimisation of biosecurity protocols, decreasing the prevalence of strangles. Methods Seven UK laboratories reported positive strangles diagnoses between 1 January 2015 and 31 December 2019 based on identifying Streptococcus equi via agent detection assays from field-based practitioner-submitted samples. Associated clinical history and animal signalment were collected where provided, and descriptive analysis undertaken. Results Within the study period, 1617 laboratory-confirmed diagnoses occurred from samples submitted by 315 veterinary practices. Of these, 51.6% were swabs and 44.0% guttural pouch lavages. Diagnoses were primarily based on qPCR alone (59.6%), qPCR and culture (35.8%), or culture alone (4.6%). A total of 1791 clinical signs were reported for 713 diagnoses, where nasal discharge (31.3%) and pyrexia (20.5%) were most frequently reported. Regions with the highest number of diagnoses included North Yorkshire (n = 75, 4.6%), Staffordshire (n = 71, 4.4%) and West Sussex (North East) (n = 63, 3.9%). Conclusion This study presents important insights into the diagnosis and clinical features of strangles in UK horses, even though limited and/or missing clinical history and signalment on laboratory submission forms restricts the completeness of the data.

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