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Peer-reviewed veterinary case report

New questionnaire helps diagnose skin allergies in Labrador

By Harvey, N D et al.·Published in Scientific reports·2019·School of Veterinary Medicine and Science, United Kingdom·View original on PubMed

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Original publication title: Development and validation of a new standardised data collection tool to aid in the diagnosis of canine skin allergies.

Species:
dog

Plain-English summary

A group of Labrador and Golden Retriever owners completed a new questionnaire to help identify dogs with skin allergies, specifically canine atopic dermatitis (cAD). The questionnaire was designed to evaluate skin health and clinical signs associated with cAD. Out of over 4,000 dogs, those diagnosed with cAD were successfully identified with high accuracy using the questionnaire. This tool can help veterinarians diagnose skin allergies more effectively, especially in dogs that may not show obvious symptoms.

People also search for: dog skin allergies symptoms · Labrador skin problems · Golden Retriever itchy skin treatment

Abstract

Canine atopic dermatitis (cAD) is a common hereditary clinical syndrome in domestic dogs with no definitive diagnostic tests, which causes marked morbidity and has a high economic impact internationally. We created a novel questionnaire for Labrador (LR) and Golden retriever (GR) owners to evaluate canine skin health with respect to clinical signs of cAD. 4,111 dogs had fully completed questionnaires (2,803 LR; 1,308 GR). 'Cases' (793) had a reported veterinary diagnosis of cAD, and 'controls' (1652) had no current or past clinical signs of cAD and were aged >3 years. Remaining dogs (1666) were initially categorised as 'Other'. Simulated annealing was used comparing 'Cases' and 'Others' to select a novel set of features able to classify a known case. Two feature sets are proposed, one for use on first evaluation and one for dogs with a history of skin problems. A sum for each list when applied to the whole population (including controls) was able to classify 'Cases' with a sensitivity of 89% to 94% and specificity of 71% to 69%, respectively, and identify potentially undiagnosed cases. Our findings demonstrate for the first time that owner questionnaire data can be reliably used to aid in the diagnostic process of cAD.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/30816238/