Peer-reviewed veterinary case report
Comparison of three clinical scoring systems for Culicoides hypersensitivity in a herd of Icelandic horses.
- Journal:
- Veterinary dermatology
- Year:
- 2019
- Authors:
- Miller, Julia E et al.
- Affiliation:
- Department of Clinical Sciences · United States
- Species:
- horse
Abstract
BACKGROUND: Culicoides hypersensitivity (CH), an intensely pruritic and seasonal allergic dermatitis, is a common allergic disease affecting horses worldwide. Currently, there is no validated clinical scoring system for the quantification of clinical signs associated with CH. OBJECTIVES: To (i) determine the best cut-off point of three scoring systems, (ii) test the accuracy of each system when compared to the clinical diagnosis of an experienced veterinarian and (iii) assess agreement between systems. ANIMALS: Icelandic horses (n = 20); eight with CH and 12 unaffected, from a research herd receiving no treatments for allergic dermatitis. METHODS AND MATERIALS: Lesion scores were recorded biweekly from April until September with three clinical scoring systems (A, B and C) by a single observer initially blinded to CH status. Separate logistic regression analyses for each time point were used to determine appropriate cut-offs for CH classification. Spearman's rho and Cohen's kappa were calculated to analyze correlation of scores and agreement of CH categorization between systems, respectively. RESULTS: The best allergic cut-off scores for system A, B and C were determined to be three, eight and 12, respectively. For each system median areas under the curve (>0.85) were excellent and discriminatory ability for correctly classifying CH status was strong. Excellent correlation between scores for each system (Spearman's rho > 0.96) and excellent intersystem agreement for CH categorization (kappa ≥ 0.73) were found across scoring time points. CONCLUSION AND CLINICAL IMPORTANCE: Results support the use of these scoring systems as templates for the future standardization of a CH clinical scoring system.
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Search related cases →Original publication: https://pubmed.ncbi.nlm.nih.gov/31441172/