Predictive modeling toward refinement of behavior-based pain assessment in horses

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Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversity of Pennsylvania-
Autor(es): dc.contributorUniversità degli Studi di Torino-
Autor(es): dc.contributorThe University of Edinburgh-
Autor(es): dc.contributorUniversity of Copenhagen-
Autor(es): dc.contributorMaringá State University-
Autor(es): dc.contributorGhent University-
Autor(es): dc.contributorEscola Superior de Propaganda e Marketing (ESPM)-
Autor(es): dc.creatorTrindade, Pedro Henrique Esteves-
Autor(es): dc.creatorBarreto da Rocha, Paula-
Autor(es): dc.creatorDriessen, Bernd-
Autor(es): dc.creatorMcDonnell, Sue M.-
Autor(es): dc.creatorHopster, Klaus-
Autor(es): dc.creatorZarucco, Laura-
Autor(es): dc.creatorGozalo-Marcilla, Miguel-
Autor(es): dc.creatorHopster-Iversen, Charlotte-
Autor(es): dc.creatorRocha, Thamiris Kristine Gonzaga da-
Autor(es): dc.creatorTaffarel, Marilda Onghero-
Autor(es): dc.creatorAlonso, Bruna Bodini-
Autor(es): dc.creatorSchauvliege, Stijn-
Autor(es): dc.creatorMello, João Fernando Serrajordia Rocha de-
Autor(es): dc.creatorLuna, Stelio Pacca Loureiro-
Data de aceite: dc.date.accessioned2025-08-21T18:11:19Z-
Data de disponibilização: dc.date.available2025-08-21T18:11:19Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2023-10-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.applanim.2023.106059-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/297193-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/297193-
Descrição: dc.descriptionAfter 25 years of studies on methodologies for behavioral assessment of equine pain, the Unesp-Botucatu Horse Acute Pain Scale (UHAPS) and the Orthopedic Composite Pain Scale (CPS) were recently considered suboptimal instruments to assess pain in hospitalized horses. However, the combination of the two instruments has never been examined. The objective was to investigate whether the merging, mining, and weighting of UHAPS and CPS behavioral items in a single instrument using a predictive model could improve the capacity to diagnose pain in horses. A previously video-collected behavioral database of 42 horses admitted to three different hospitals for orthopedic or soft tissue surgery was used. Multilevel binomial logistic regression models were used to merge, mine, and weight the behaviors of both instruments. The classification quality between the model and the instruments was compared by the area under the curve (AUC) and its 95% confidence interval. The short model containing 25% of the behaviors of the two instruments showed a higher AUC (98.64 [98.16 – 99.12]; p < 0.0001) than the UHAPS (84.63 [82.08 – 87.18]) and CPS (88.62 [86.56 – 90.66]), independently. We conclude that merging, mining, and weighting the UHAPS and CPS behavior items into a single predictive model appears to be a promising strategy to improve pain diagnostic skill and promote equine welfare.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionDorothy Russell Havemeyer Foundation-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionDepartment of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science São Paulo State University, São Paulo State-
Descrição: dc.descriptionDepartment of Surgical Specialties and Anesthesiology Medical School São Paulo State University (Unesp), São Paulo State-
Descrição: dc.descriptionDepartment of Clinical Studies New Bolton Center School of Veterinary Medicine University of Pennsylvania-
Descrição: dc.descriptionDipartimento di Scienze Veterinarie Università degli Studi di Torino-
Descrição: dc.descriptionThe Royal (Dick) School of Veterinary Studies and the Roslin Institute The University of Edinburgh, Midlothian-
Descrição: dc.descriptionDepartment of Veterinary Clinical Sciences Section of Medicine and Surgery Faculty of Health and Medical Sciences University of Copenhagen-
Descrição: dc.descriptionDepartment of Veterinary Medicine Maringá State University, Paraná State-
Descrição: dc.descriptionFaculty of Animal Science and Food Engineering São Paulo State University-
Descrição: dc.descriptionDepartment of Large Animal Surgery Anaesthesia and Orthopaedics Faculty of Veterinary Medicine Ghent University-
Descrição: dc.descriptionDepartment of quantitative analytics Escola Superior de Propaganda e Marketing (ESPM), São Paulo State-
Descrição: dc.descriptionDepartment of Veterinary Surgery and Animal Reproduction School of Veterinary Medicine and Animal Science São Paulo State University, São Paulo State-
Descrição: dc.descriptionDepartment of Surgical Specialties and Anesthesiology Medical School São Paulo State University (Unesp), São Paulo State-
Descrição: dc.descriptionFaculty of Animal Science and Food Engineering São Paulo State University-
Descrição: dc.descriptionFAPESP: 2017/12815-0-
Idioma: dc.languageen-
Relação: dc.relationApplied Animal Behaviour Science-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectAlgorithm-
Palavras-chave: dc.subjectBody language-
Palavras-chave: dc.subjectLogistic regression-
Palavras-chave: dc.subjectPain assessment-
Palavras-chave: dc.subjectWelfare-
Título: dc.titlePredictive modeling toward refinement of behavior-based pain assessment in horses-
Tipo de arquivo: dc.typelivro digital-
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