Simplified assessment of castration-induced pain in pigs using lower complexity algorithms

Pigs are raised on a global scale for commercial or research purposes and often experience pain as a by product of management practices and procedures performed. Therefore, ensuring pain can be effectively identified and monitored in these settings is critical to ensure appropriate pig welfare. The...

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Bibliographic Details
Published in:	Scientific reports Vol. 13; no. 1; p. 21237
Main Authors:	da Silva, Gustavo Venâncio, Pivato, Giovana Mancilla, Peres, Beatriz Granetti, Luna, Stelio Pacca Loureiro, Pairis-Garcia, Monique Danielle, Trindade, Pedro Henrique Esteves
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 01-12-2023 Nature Publishing Group Nature Portfolio
Subjects:	631/601/18 692/53/2421 692/700/784 Acute Pain Algorithms Animals Castration Hogs Humanities and Social Sciences Male multidisciplinary Orchiectomy Pain Pain Measurement - methods Science Science (multidisciplinary) Swine
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Summary:	Pigs are raised on a global scale for commercial or research purposes and often experience pain as a by product of management practices and procedures performed. Therefore, ensuring pain can be effectively identified and monitored in these settings is critical to ensure appropriate pig welfare. The Unesp-Botucatu Pig Composite Acute Pain Scale (UPAPS) was validated to diagnose pain in pre-weaned and weaned pigs using a combination of six behavioral items. To date, statistical weighting of supervised and unsupervised algorithms was not compared in ranking pain-altered behaviors in swine has not been performed. Therefore, the aim of this study was to verify if supervised and unsupervised algorithms with different levels of complexity can improve UPAPS pain diagnosis in pigs undergoing castration. The predictive capacity of the algorithms was evaluated by the area under the curve (AUC). Lower complexity algorithms containing fewer pain-altered behaviors had similar AUC (90.1–90.6) than algorithms containing five (89.18–91.24) and UPAPS (90.58). In conclusion, utilizing a short version of the UPAPS did not influence the predictive capacity of the scale, and therefore it may be easier to apply and be implemented consistently to monitor pain in commercial and experimental settings.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	2045-2322 2045-2322
DOI:	10.1038/s41598-023-48551-1