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Standardising Assessment of Superficial Pyoderma in Dogs: Proposal of a Severity Score
Mickaël Pinto1, David Grass2, Ina Herrmann1
1Department of Clinical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, USA.
Background:
Superficial pyoderma is common in dogs with atopic dermatitis, yet no validated and widely accepted severity scoring system exists.
Hypothesis/Objectives:
To develop a predictor for superficial pyoderma severity based on reliable objective lesion quantification combined with a clinician-assigned numerical severity rating.
Animals:
Sixty client-owned dogs presenting with follicular papules, pustules, epidermal collarettes, and/or yellow crusts were prospectively enrolled.
Materials And Methods:
Six clinicians assessed lesion types, numerical and categorical disease severity, and treatment efficacy at baseline and at up to two follow-up visits. Lesions were quantified by counting individual papules and pustules, and by standardised area measurements for confluent papules/pustules, epidermal collarettes and crusts. Inter- and intra-clinician reliability were evaluated. A predictive model for pyoderma severity was subsequently developed using lesion quantification and clinician-assigned numerical severity scores.
Results:
Recognition of specific lesion types and categorical severity assessments showed poor agreement between clinicians, indicating limited reliability for severity assessment. By contrast, combined lesion quantification demonstrated good inter- and intra-clinician reliability, and clinician-assigned numerical severity scores showed good inter-clinician reliability. The resulting predictive model demonstrated good agreement with clinician-assigned severity scores, estimating pyoderma severity on a continuous scale from 0 (no pyoderma) to 100 (worst conceivable pyoderma), with a mean absolute error of approximately nine severity points per case.
Conclusions And Clinical Relevance:
The proposed scoring system relies on combined lesion quantification without the need for subjective categorical grading. Although further validation is required, it provides a foundation for objective assessment of superficial pyoderma severity and introduces a mathematical model that translates combined lesion burden into clinician-perceived disease severity.
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