Surveillance of diarrhoea in small animal practice through the Small Animal Veterinary Surveillance Network (SAVSNET)
Autor: | Susan Dawson, Christian Setzkorn, Alan D Radford, Philip C. Jones, Peter J. M. Noble, Rosalind M. Gaskell, Karen P. Coyne, Á. Tierney |
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Rok vydání: | 2014 |
Předmět: |
Diarrhea
Male Veterinary medicine Cat Diseases Dogs Small animal Animals Medicine Dog Diseases Young male CATS General Veterinary business.industry medicine.disease United Kingdom Breed Anti-Bacterial Agents Cross-Sectional Studies Neutering Gastrointestinal disease Infectious disease (medical specialty) Epidemiological Monitoring Cats Vomiting Female Animal Science and Zoology medicine.symptom business |
Zdroj: | The Veterinary Journal. 201:412-418 |
ISSN: | 1090-0233 |
Popis: | Using the Small Animal Veterinary Surveillance Network (SAVSNET), a national small animal disease-surveillance scheme, information on gastrointestinal disease was collected for a total of 76 days between 10 May 2010 and 8 August 2011 from 16,223 consultations (including data from 9115 individual dogs and 3462 individual cats) from 42 premises belonging to 19 UK veterinary practices. During that period, 7% of dogs and 3% of cats presented with diarrhoea. Adult dogs had a higher proportional morbidity of diarrhoea (PMD) than adult cats (P 0.001). This difference was not observed in animals1 year old. Younger animals in both species had higher PMDs than adult animals (P 0.001). Neutering was associated with reduced PMD in young male dogs. In adult dogs, miniature Schnauzers had the highest PMD. Most animals with diarrhoea (51%) presented having been ill for 2-4 days, but a history of vomiting or haemorrhagic diarrhoea was associated with a shorter time to presentation. The most common treatments employed were dietary modification (66% of dogs; 63% of cats) and antibacterials (63% of dogs; 49% of cats). There was variability in PMD between different practices. The SAVNET methodology facilitates rapid collection of cross-sectional data regarding diarrhoea, a recognised sentinel for infectious disease, and characterises data that could benchmark clinical practice and support the development of evidence-based medicine. |
Databáze: | OpenAIRE |
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