Epidemiological risk factors associated with a diagnosis of clinical cyathostomiasis in the horse.
Abstract: Multiple logistic regression was used to assess epidemiological risk factors associated with the diagnosis of cyathostomiasis in 87 cases of chronic diarrhoea in the horse. Age, season and the period since last receiving anthelmintics were identified as important risk factors using chi-square and two-sample t test analyses, whereas access to grazing, shared grazing with other horses and recurrence of signs were only weakly associated with a diagnosis of cyathostomiasis. Multivariate analysis of the parameters using logistic regression was performed. The final model included age, season and time since last deworming. At a predicted probability of cyathostomiasis of 0.5, the model had a specificity of 86.0%, sensitivity of 66.7%, overall correct classification of 79.3%, a positive predictive value of 71.4% and a negative predictive value of 83.1%. The results of this study indicated that the specified variables and factors may be useful in the differentiation of clinical cyathostomiasis from other causes of chronic diarrhoea, based on case history alone.
Publication Date: 1995-03-01 PubMed ID: 7607145DOI: 10.1111/j.2042-3306.1995.tb03048.xGoogle Scholar: Lookup
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- Journal Article
- Research Support
- Non-U.S. Gov't
Summary
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This research paper studied the risk factors involved in the incidence of clinical cyathostomiasis (a type of worm infection) in horses, particularly among those suffering from chronic diarrhea. By using statistical and regression analyses, the study identified age, seasonality, and interval since last deworming as relevant risk factors. The research results could help vets distinguish cyathostomiasis from other potential causes of chronic diarrhea in horses based on their history.
Objective of the Research
- The primary goal of the research was to investigate the epidemiological risk factors correlated with the diagnosis of clinical cyathostomiasis in horses, especially those suffering from chronic diarrhoea.
- The researchers aimed to distinguish the key factors which could assist in the differentiation of clinical cyathostomiasis from other causes of chronic diarrhoea.
Methodology
- Logistic regression analyses were performed on 87 cases of chronic diarrhoea in horses thought to have cyathostomiasis.
- The risk factors like age, season, time since last deworming, access to grazing, shared grazing with other horses, and recurrence of signs were examined for association with cyathostomiasis.
- For the assessment of these factors, statistical tools like chi-square and two-sample t-test were employed.
Results
- Age, season, and time since last receiving anthelmintics were strongly linked with a diagnosis of cyathostomiasis.
- Other factors such as access to grazing, shared grazing with other horses and recurrence of signs had only weak associations with a diagnosis of cyathostomiasis.
- Through multivariate analysis using logistic regression, a final model outlining the risk factors of cyathostomiasis was produced.
- The final model showed that, at a predicted probability of 0.5, the model had a positive predictive value of 71.4% and a negative predictive value of 83.1%. This means that the model was significantly accurate in predicting cases of cyathostomiasis.
Conclusion
- The findings of the study suggested that age, season, and time since last deworming are valuable indicators in differentiating clinical cyathostomiasis from other potential causes of chronic diarrhoea in horses.
- This could help in the veterinary field, where appropriate diagnosis of cyathostomiasis vs. other ailments might lead to more effective treatments and improved horse welfare.
Cite This Article
APA
Reid SW, Mair TS, Hillyer MH, Love S.
(1995).
Epidemiological risk factors associated with a diagnosis of clinical cyathostomiasis in the horse.
Equine Vet J, 27(2), 127-130.
https://doi.org/10.1111/j.2042-3306.1995.tb03048.x Publication
Researcher Affiliations
- Department of Veterinary Medicine, University of Glasgow Veterinary School, UK.
MeSH Terms
- Animals
- Diarrhea / epidemiology
- Diarrhea / veterinary
- Female
- Horse Diseases / diagnosis
- Horse Diseases / epidemiology
- Horse Diseases / parasitology
- Horses
- Larva
- Male
- Regression Analysis
- Risk Factors
- Strongyle Infections, Equine / diagnosis
- Strongyle Infections, Equine / epidemiology
- United Kingdom / epidemiology
Grant Funding
- Wellcome Trust
Citations
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