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Development of a Donkey Grimace Scale to Recognize Pain in Donkeys () Post Castration

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Journal Animals (Basel)
Date 2020 Aug 23
PMID 32823676
Citations 11
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Abstract

The objectives of this study were to establish a donkey ethogram, followed by a donkey grimace scale to be applied to donkeys pre- and post-castration and to test if there was a notable difference in scores based on observer knowledge, gender, and experience, which could reveal possible discomfort/pain. Nine healthy male adult donkeys were surgically castrated. Fifty-four photos were selected from frontal, lateral, and body views taken pre- and post-castration. Observers ranging from minimal to extensive knowledge and levels of experience based on education and hours/month spent with donkeys scored six photos/donkey on a scale of 0-2 (0 = not present, 1 = moderately present, 2 = obviously present). Scores were based on body language and facial parameters: Ears down, ears back, eye white showing, glazed look, orbital tightening, eyes round shape, nostril tension, eyes narrow shape, muzzle tension, and abnormal stance and overall perception of the animal being in pain. Level of experience and knowledge, as well as gender significantly ( < 0.001), affected observers' ability to accurately score images. The study suggests that the most significant indicators of pain in donkeys are overall appearance and abnormal body stance provided their sensitivity, specificity and accuracy values of 63.18%, 62.07%, and 62.60%, respectively.

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References
1.
Hager C, Biernot S, Buettner M, Glage S, Keubler L, Held N . The Sheep Grimace Scale as an indicator of post-operative distress and pain in laboratory sheep. PLoS One. 2017; 12(4):e0175839. PMC: 5396914. DOI: 10.1371/journal.pone.0175839. View

2.
Waran N, Williams V, Clarke N, Bridge I . Recognition of pain and use of analgesia in horses by veterinarians in New Zealand. N Z Vet J. 2010; 58(6):274-80. DOI: 10.1080/00480169.2010.69402. View

3.
Laven R, Huxley J, Whay H, Stafford K . Results of a survey of attitudes of dairy veterinarians in New Zealand regarding painful procedures and conditions in cattle. N Z Vet J. 2009; 57(4):215-20. DOI: 10.1080/00480169.2009.36904. View

4.
Matthews N, van Loon J . Anesthesia, Sedation, and Pain Management of Donkeys and Mules. Vet Clin North Am Equine Pract. 2019; 35(3):515-527. DOI: 10.1016/j.cveq.2019.08.007. View

5.
Prunier A, Mounier L, Le Neindre P, Leterrier C, Mormede P, Paulmier V . Identifying and monitoring pain in farm animals: a review. Animal. 2012; 7(6):998-1010. DOI: 10.1017/S1751731112002406. View