Predictive modeling toward refinement of behavior-based pain assessment in horses
Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
After 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.
Originalsprog | Engelsk |
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Artikelnummer | 106059 |
Tidsskrift | Applied Animal Behaviour Science |
Vol/bind | 267 |
Antal sider | 8 |
ISSN | 0168-1591 |
DOI | |
Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
The present work was carried out with funding support of the São Paulo Research Foundation ( FAPESP ) [https://fapesp.br/en] by S.P.L.L.’s thematic project (grant number 2017/12815-0 ) for providing financial support for acquisition of veterinary equipment and materials for data collection in Brazil, and P.H.E.T.’s Postdoc Scholarship (grant number 2021/12358-3 ); Coordination for the Improvement of Higher Education Personnel ( CAPES ) [https://www.gov.br/capes/pt-br] for funding P.B.R.’s Master of Science Scholarship (Process 168965 ); Dorothy Russell Havemeyer Foundation [http://www.havemeyerfoundation.org] to University of Pennsylvania Equine Behavior Program from S.M.M. (award # 2016 5-27134 ); and Narkovet Consulting ®, LLC, USA [http://www.narkovet.com; Award # SR-NVC-USA 02-2018 ] from B.D., L.Z., and K.H. for covering over-hours work of veterinary technician Jaime Miller in this study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Publisher Copyright:
© 2023 Elsevier B.V.
ID: 375060763