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Home / Equine Research Bank / Front Vet Sci / Performance of four equine pain scales and their association...
Frontiers in veterinary science2022; 9; 938022; doi: 10.3389/fvets.2022.938022

Performance of four equine pain scales and their association to movement asymmetry in horses with induced orthopedic pain.

Abstract: This study investigated the relationship between orthopedic pain experienced at rest, and degree of movement asymmetry during trot in horses with induced reversible acute arthritis. Orthopedic pain was assessed with the Horse Grimace Scale (HGS), the Equine Utrecht University Scale of Facial Assessment of Pain (EQUUS-FAP), the Equine Pain Scale (EPS), and the Composite Orthopedic Pain Scale (CPS). Reliability and diagnostic accuracy were evaluated with intraclass correlation coefficients (ICC) and area under the curve (AUC). Unassigned: Eight healthy horses were included in this experimental study, with each horse acting as its own control. Unassigned: Orthopedic pain was induced by intra-articular lipopolysaccharide (LPS) administration. Serial pain assessments were performed before induction and during pain progression and regression, where three observers independently and simultaneously assessed pain at rest with the four scales. Movement asymmetry was measured once before induction and a minimum of four times after induction, using objective gait analysis. Unassigned: On average 6.6 (standard deviation 1.2) objective gait analyses and 12.1 (2.4) pain assessments were performed per horse. The ICC for each scale was 0.75 (CPS), 0.65 (EPS), 0.52 (HGS), and 0.43 (EQUUS-FAP). Total pain scores of all scales were significantly associated with an increase in movement asymmetry (R 2 values ranging from -0.0649 to 0.493); with CPS pain scores being most closely associated with movement asymmetry. AUC varied between scales and observers, and CPS was the only scale where all observers had a good diagnostic accuracy (AUC > 0.72). Unassigned: This study identified significant associations between pain experienced at rest and degree of movement asymmetry for all scales. Pain scores obtained using CPS were most closely associated with movement asymmetry. CPS was also the most accurate and reliable pain scale. All scales had varying linear and non-linear relations between total pain scores and movement asymmetry, illustrating challenges with orthopedic pain assessment during rest in subtly lame horses since movement asymmetry needs to be rather high before total pain score increase.
Copyright © 2022 Ask, Andersen, Tamminen, Rhodin and Hernlund.
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Publication Date: 2022-08-12 PubMed ID: 36032285PubMed Central: PMC9411665DOI: 10.3389/fvets.2022.938022Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study explores the connection between restful orthopedic pain and movement asymmetry, using four pain scales in horses with induced acute arthritis. It discovered that pain assessments using the Composite Orthopedic Pain Scale (CPS) were most accurately aligned with movement asymmetry.

Introduction

  • The researchers in this study aimed to shed light on the relationship between pain experienced at rest and the degree of movement asymmetry in trotting horses, who have had acute arthritis artificially induced.
  • Orthopedic pain was evaluated using four distinct pain scales, each one aimed at measuring the extent of observed pain in horses. These scales were the Horse Grimace Scale (HGS), the Equine Utrecht University Scale of Facial Assessment of Pain (EQUUS-FAP), the Equine Pain Scale (EPS), and the Composite Orthopedic Pain Scale (CPS).
  • The reliability and diagnostic accuracy of these scales were assessed. This was done using statistical methods known as intraclass correlation coefficients (ICC) and area under the curve (AUC) analysis.

Methodology

  • The study included eight healthy horses and was designed in such a way that each horse would act as its own control for comparisons.
  • A condition causing orthopedic pain was artificially induced in these horses using a substance called lipopolysaccharide (LPS).
  • To follow the progression and regression of this induced pain, the researchers conducted regular pain assessments using the four pain scales.
  • Correlation between pain at rest and movement asymmetry was established by conducting objective gait analysis before and after the induction of the pain.

Results

  • Each horse was assessed multiple times for pain and gaits, providing a rich set of data points for analysis.
  • The reliability of each scale was different, with the Composite Pain Scale (CPS) offering the highest ICC value (0.75), followed by the EPS, HGS, and finally the EQUUS-FAP.
  • All scales showed a significant correlation with movement asymmetry, with the CPS showing the closest alignment.
  • The AUC, which hints at the diagnostic accuracy, varied among scales and observers. However, CPS was found to be the only scale demonstrating good diagnostic accuracy across all observers.

Conclusion

  • This research pinpointed significant associations between the pain a horse experiences at rest and the degree of movement asymmetry.
  • Among the four scales used, CPS proved to be the most accurate and reliable for pain quantification and was most closely associated with movement asymmetry.
  • The study also noted challenges in assessing orthopedic pain during rest in subtly lame horses, as movement asymmetry needs to be considerably high before the total pain score sees a noticeable increase.

Cite This Article

APA
Ask K, Andersen PH, Tamminen LM, Rhodin M, Hernlund E. (2022). Performance of four equine pain scales and their association to movement asymmetry in horses with induced orthopedic pain. Front Vet Sci, 9, 938022. https://doi.org/10.3389/fvets.2022.938022

Publication

Frontiers in veterinary science
ISSN: 2297-1769
NlmUniqueID: 101666658
Country: Switzerland
Language: English
Volume: 9
Pages: 938022

Researcher Affiliations

Ask, Katrina
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Andersen, Pia Haubro
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Tamminen, Lena-Mari
  • Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Rhodin, Marie
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Hernlund, Elin
  • Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Uppsala, Sweden.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

References

This article includes 67 references
  1. Rhodin M, Egenvall A, Andersen PH, Pfau T. Head and pelvic movement asymmetries at trot in riding horses in training and perceived as free from lameness by the owner.. PLoS ONE (2017) 12:e0176253.
    doi: 10.1371/journal.pone.0176253pmc: PMC5404851pubmed: 28441406google scholar: lookup
  2. Müller-Quirin J, Dittmann MT, Roepstorff C, Arpagaus S, Latif SN, Weishaupt MA. Riding soundness - comparison of subjective with objective lameness assessments of owner-sound horses at trot on a treadmill.. J Equine Vet Sci (2020) 95:1–10.
    doi: 10.1016/j.jevs.2020.103314pubmed: 33276930google scholar: lookup
  3. Dyson S, Berger JM, Ellis AD, Mullard J. Development of an ethogram for a pain scoring system in ridden horses and its application to determine the presence of musculoskeletal pain.. J Vet Behav Clin Appl Res (2018) 23:47–57.
    doi: 10.1016/j.jveb.2017.10.008google scholar: lookup
  4. Mullard J, Berger JM, Ellis AD, Dyson S. Development of an ethogram to describe facial expressions in ridden horses (FEReq).. J Vet Behav Clin Appl Res (2017) 18:7–12.
    doi: 10.1016/j.jveb.2016.11.005google scholar: lookup
  5. van Loon JPAM, Van Dierendonck MC. Pain assessment in horses after orthopaedic surgery and with orthopaedic trauma.. Vet J (2019) 246:85–91.
    doi: 10.1016/j.tvjl.2019.02.001pubmed: 30902195google scholar: lookup
  6. Dalla Costa E, Stucke D, Dai F, Minero M, Leach MC, Lebelt D. Using the horse grimace scale (HGS) to assess pain associated with acute laminitis in horses (Equus caballus).. Animals (2016) 6:1–9.
    doi: 10.3390/ani6080047pmc: PMC4997272pubmed: 27527224google scholar: lookup
  7. Bussières G, Jacques C, Lainay O, Beauchamp G, Leblond A, Cadoré JL. Development of a composite orthopaedic pain scale in horses.. Res Vet Sci (2008) 85:294–306.
    doi: 10.1016/j.rvsc.2007.10.011pubmed: 18061637google scholar: lookup
  8. Ask K, Rhodin M, Tamminen L-M, Hernlund E, Andersen PH. Identification of body behaviors and facial expressions associated with induced orthopedic pain in four equine pain scales.. Animals (2020) 10:1–16.
    doi: 10.3390/ani10112155pmc: PMC7699379pubmed: 33228117google scholar: lookup
  9. Ashley FH, Waterman-Pearson AE, Whay HR. Behavioural assessment of pain in horses and donkeys: application to clinical practice and future studies.. Equine Vet J (2005) 37:565–75.
    doi: 10.2746/042516405775314826pubmed: 16295937google scholar: lookup
  10. Descovich KA, Wathan J, Leach MC, Buchanan-Smith HM, Flecknell P, Farningham D. Facial expression: an under-utilized tool for the assessment of welfare in mammals.. ALTEX (2017) 34:409–29.
    doi: 10.14573/altex.1607161pubmed: 28214916google scholar: lookup
  11. Dalla Costa E, Minero M, Lebelt D, Stucke D, Canali E, Leach MC. Development of the Horse Grimace Scale (HGS) as a pain assessment tool in horses undergoing routine castration.. PLoS ONE (2014) 9:e92281.
    doi: 10.1371/journal.pone.0092281pmc: PMC3960217pubmed: 24647606google scholar: lookup
  12. van Dierendonck MC, van Loon JPAM. Monitoring acute equine visceral pain with the Equine Utrecht University Scale for Composite Pain Assessment (EQUUS-COMPASS) and the Equine Utrecht University Scale for Facial Assessment of Pain (EQUUS-FAP): a validation study.. Vet J (2016) 216:175–7.
    doi: 10.1016/j.tvjl.2016.08.004pubmed: 27687948google scholar: lookup
  13. van Loon JPAM, van Dierendonck MC. Monitoring equine head-related pain with the Equine Utrecht University scale for facial assessment of pain (EQUUS-FAP).. Vet J (2017) 220:88–90.
    doi: 10.1016/j.tvjl.2017.01.006pubmed: 28190503google scholar: lookup
  14. Mota-Rojas D, Olmos-Hernández A, Verduzco-Mendoza A, Hernández E, Martínez-Burnes J, Whittaker AL. The utility of grimace scales for practical pain assessment in laboratory animals.. Animals (2020) 10:1–17.
    doi: 10.3390/ani10101838pmc: PMC7600890pubmed: 33050267google scholar: lookup
  15. Cohen S, Beths T. Grimace scores: tools to support the identification of pain in mammals used in research.. Animals (2020) 10:1–20.
    doi: 10.3390/ani10101726pmc: PMC7598254pubmed: 32977561google scholar: lookup
  16. De Vet HCW, Terwee CB, Bouter LM. Current challenges in clinimetrics.. J Clin Epidemiol (2003) 56:1137–41.
    doi: 10.1016/j.jclinepi.2003.08.012pubmed: 14680660google scholar: lookup
  17. du Sert NP, Ahluwalia A, Alam S, Avey MT, Baker M, Browne WJ. Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 20.. PLoS Biol (2020) 18:1–65.
    doi: 10.1371/journal.pbio.3000411pmc: PMC7360025pubmed: 32663221google scholar: lookup
  18. . P.9.7.0.1190202 (R2019b). Natick, MA: The MathWorks Inc.. MatLab (2018).
  19. Serra Bragança FM, Roepstorff C, Rhodin M, Pfau T, van Weeren PR, Roepstorff L. Quantitative lameness assessment in the horse based on upper body movement symmetry: the effect of different filtering techniques on the quantification of motion symmetry.. Biomed Signal Process Control (2020) 57:101674.
    doi: 10.1016/j.bspc.2019.101674google scholar: lookup
  20. Roepstorff C, Dittmann MT, Arpagaus S, Serra Bragança FM, Hardeman A, Persson-Sjodin E. Reliable and clinically applicable gait event classification using upper body motion in walking and trotting horses.. J Biomech (2021) 114:1–8.
    doi: 10.1016/j.jbiomech.2020.110146pubmed: 33290946google scholar: lookup
  21. Rhodin M, Persson-Sjodin E, Egenvall A, Serra Bragança FM, Pfau T, Roepstorff L. Vertical movement symmetry of the withers in horses with induced forelimb and hindlimb lameness at trot.. Equine Vet J (2018) 50:818–24.
    doi: 10.1111/evj.12844pmc: PMC6175082pubmed: 29658147google scholar: lookup
  22. Rhodin M, Pfau T, Roepstorff L, Egenvall A. Effect of lungeing on head and pelvic movement asymmetry in horses with induced lameness.. Vet J (2013) 198:e39–45.
    doi: 10.1016/j.tvjl.2013.09.031pubmed: 24140227google scholar: lookup
  23. Gleerup KB, Lindegaard C. Recognition and quantification of pain in horses: a tutorial review.. Equine Vet Educ (2016) 28:47–57.
    doi: 10.1111/eve.12383google scholar: lookup
  24. . R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; (2020).. R Core Team .
  25. . ggplot2: Elegant Graphics for Data Analysis. New York, NY: Springer-Verlag.. Wickham H (2016).
  26. . irrNA: Coefficients of Interrater Reliability - Generalized for Randomly Incomplete Datasets.. Brueckl M, Heuer F (2018).
  27. Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research.. J Chiropr Med (2016) 15:155–63.
    doi: 10.1016/j.jcm.2016.02.012pmc: PMC4913118pubmed: 27330520google scholar: lookup
  28. Wood SN. Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models.. J R Stat Soc (2011) 73:3–36.
    doi: 10.1111/j.1467-9868.2010.00749.xgoogle scholar: lookup
  29. . mgcv: Mixed GAM Computation Vehicle with Automatic Smoothness Estimation.. Wood S (2021).
  30. Fawcett T. An introduction to ROC analysis.. Pattern Recognit Lett (2006) 27:861–74.
    doi: 10.1016/j.patrec.2005.10.010google scholar: lookup
  31. . stats: The R Stats Package.. R Core Team (2021).
  32. Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchers J-C. pROC: an open-source package for R and S+ to analyze and compare ROC curves.. BMC Bioinform (2011) 12:1–8.
    doi: 10.1186/1471-2105-12-77pmc: PMC3068975pubmed: 21414208google scholar: lookup
  33. Simundic AM. Measures of diagnostic accuracy: basic definitions.. J Int Fed Clin Chem Lab Med (2009) 19:203–11.
    pmc: PMC4975285pubmed: 27683318
  34. van Loon JPAM, de Grauw JC, van Dierendonck MC, L'ami JJ, Back W, van Weeren PR. Intra-articular opioid analgesia is effective in reducing pain and inflammation in an equine LPS induced synovitis model.. Equine Vet J (2010) 42:412–9.
    doi: 10.1111/j.2042-3306.2010.00077.xpubmed: 20636777google scholar: lookup
  35. Lindegaard C, Thomsen MH, Larsen S, Andersen PH. Analgesic efficacy of intra-articular morphine in experimentally induced radiocarpal synovitis in horses.. Vet Anaesth Analg (2010) 37:171–85.
    doi: 10.1111/j.1467-2995.2009.00521.xpubmed: 20230568google scholar: lookup
  36. Khumsap S, Lanovaz JL, Rosenstein DS, Byron C, Clayton HM. Effect of induced unilateral synovitis of distal intertarsal and tarsometatarsal joints on sagittal plane kinematics and kinetics of trotting horses.. Am J Vet Res (2003) 64:1491–5.
    doi: 10.2460/ajvr.2003.64.1491pubmed: 14672426google scholar: lookup
  37. Palmer JL, Bertone AL. Experimentally-induced synovitis as a model for acute synovitis in the horse.. Equine Vet J (1994) 26:492–5.
    doi: 10.1111/j.2042-3306.1994.tb04056.xpubmed: 7889925google scholar: lookup
  38. van Loon JPAM, Menke ES, L'ami JJ, Jonckheer-Sheehy VSM, Back W, van Weeren PR. Analgesic and anti-hyperalgesic effects of epidural morphine in an equine LPS-induced acute synovitis model.. Vet J (2012) 193:464–70.
    doi: 10.1016/j.tvjl.2012.01.015pubmed: 22342215google scholar: lookup
  39. Van de Water E, Oosterlinck M, Korthagen NM, Duchateau L, Dumoulin M, van Weeren PR. The lipopolysaccharide model for the experimental induction of transient lameness and synovitis in standardbred horses.. Vet J (2021) 270:105626.
    doi: 10.1016/j.tvjl.2021.105626pubmed: 33641810google scholar: lookup
  40. Jacobsen S, Niewold TA, Thomsen MH, Nanni S, Olsen E, Lindegaard C. Serum amyloid A isoforms in serum and synovial fluid in horses with lipopolysaccharide-induced arthritis.. Vet Immunol Immunopathol (2006) 110:325–30.
    doi: 10.1016/j.vetimm.2005.10.012pubmed: 16337010google scholar: lookup
  41. McLennan KM, Miller AL, Dalla Costa E, Stucke D, Corke MJ, Broom DM. Conceptual and methodological issues relating to pain assessment in mammals: the development and utilisation of pain facial expression scales.. Appl Anim Behav Sci (2019) 217:1–15.
    doi: 10.1016/j.applanim.2019.06.001google scholar: lookup
  42. . Measurement in Medicine. Cambridge: Cambridge University Press; (2011).. De Vet HCW, Terwee CB, Mokkink LB, Knol DL .
  43. Haussler KK, Hill AE, Frisbie DD, McIlwraith CW. Determination and use of mechanical nociceptive thresholds of the thoracic limb to assess pain associated with induced osteoarthritis of the middle carpal joint in horses.. Am J Vet Res (2007) 68:1167–76.
    doi: 10.2460/ajvr.68.11.1167pubmed: 17975970google scholar: lookup
  44. Egan S, Kearney CM, Brama PAJ, Parnell AC, McGrath D. Exploring stable-based behaviour and behaviour switching for the detection of bilateral pain in equines.. Appl Anim Behav Sci (2021) 235:1–8.
    doi: 10.1016/j.applanim.2021.105214google scholar: lookup
  45. Torcivia C, McDonnell S. In-Person caretaker visits disrupt ongoing discomfort behavior in hospitalized equine.. Animals (2020) 10:1–13.
    doi: 10.3390/ani10020210pmc: PMC7070845pubmed: 32012670google scholar: lookup
  46. Miller AL, Leach MC. The mouse grimace scale: a clinically useful tool?. PLoS ONE (2015) 10:e0136000.
    doi: 10.1371/journal.pone.0136000pmc: PMC4583436pubmed: 26406227google scholar: lookup
  47. Barreto da Rocha P, Driessen B, McDonnell SM, Hopster K, Zarucco L, Gozalo-Marcilla M. A critical evaluation for validation of composite and unidimensional postoperative pain scales in horses.. PLoS ONE (2021) 16:e0255618.
    doi: 10.1371/journal.pone.0255618pmc: PMC8341545pubmed: 34352001google scholar: lookup
  48. Dai F, Leach M, MacRae AM, Minero M, Dalla Costa E. Does thirty-minute standardised training improve the inter-observer reliability of the Horse Grimace Scale (HGS)? A case study.. Animals (2020) 10:1–7.
    doi: 10.3390/ani10050781pmc: PMC7277819pubmed: 32365927google scholar: lookup
  49. Lundblad J, Rashid M, Rhodin M, Haubro Andersen P. Effect of transportation and social isolation on facial expressions of healthy horses.. PLoS ONE (2021) 16:e0241532.
    doi: 10.1371/journal.pone.0241532pmc: PMC8177539pubmed: 34086704google scholar: lookup
  50. de Camp NV, Ladwig-Wiegard M, Geitner CIE, Bergeler J, Thöne-Reineke C. EEG based assessment of stress in horses: a pilot study.. PeerJ (2020) 8:e8629:1–15.
    doi: 10.7717/peerj.8629pmc: PMC7227666pubmed: 32435527google scholar: lookup
  51. Mogil JS, Pang DSJ, Silva Dutra GG, Chambers CT. The development and use of facial grimace scales for pain measurement in animals.. Neurosci Biobehav Rev (2020) 116:480–93.
    doi: 10.1016/j.neubiorev.2020.07.013pubmed: 32682741google scholar: lookup
  52. van Loon JPAM, van Dierendonck MC. Monitoring acute equine visceral pain with the Equine Utrecht University Scale for Composite Pain Assessment (EQUUS-COMPASS) and the Equine Utrecht University Scale for Facial Assessment of Pain (EQUUS-FAP): a scale-constructive study.. Vet J (2015) 206:356–64.
    pubmed: 26526526
  53. de Grauw JC, van Loon JPAM. Systematic pain assessment in horses.. Vet J (2016) 209:14–22.
    doi: 10.1016/j.tvjl.2015.07.030pubmed: 26831169google scholar: lookup
  54. Lee KE, Kim JG, Lee H, Kim BS. Behavioral and cardiac responses in mature horses exposed to a novel object.. J Anim Sci Technol (2021) 63:651–61.
    doi: 10.5187/jast.2021.e51pmc: PMC8203992pubmed: 34189512google scholar: lookup
  55. Rietmann TR, Stuart AEA, Bernasconi P, Staﾬher M, Auer JA, Weishaupt MA. Assessment of mental stress in warmblood horses: heart rate variability in comparison to heart rate and selected behavioural parameters.. Appl Anim Behav Sci (2004) 88:121–36.
    doi: 10.1016/j.applanim.2004.02.016google scholar: lookup
  56. Todhunter PG, Kincaid SA, Todhunter RJ, Kammermann JR, Johnstone B, Baird AN. Immunohistochemical analysis of an equine model of synovitis-induced arthritis.. Am J Vet Res (1996) 57:1080–93.
    pubmed: 8807026
  57. Santos LCP, de Moraes AN, Saito ME. Effects of intraarticular ropivacaine and morphine on lipopolysaccharide- induced synovitis in horses.. Vet Anaesth Analg (2009) 36:280–6.
    doi: 10.1111/j.1467-2995.2009.00452.xpubmed: 19397780google scholar: lookup
  58. Campebell RC, Peiró JR, Valadão CAA, Santana AE, Cunha FQ. Effects of lidocaine on lipopolysaccharide-induced synovitis in horses.. Arq Bras Med Vet Zootec (2004) 56:281–91.
    doi: 10.1590/S0102-09352004000300001google scholar: lookup
  59. Lindegaard C, Frost AB, Thomsen MH, Larsen C, Hansen SH, Andersen PH. Pharmacokinetics of intra-articular morphine in horses with lipopolysaccharide-induced synovitis.. Vet Anaesth Analg (2010) 37:186–95.
    doi: 10.1111/j.1467-2995.2010.00526.xpubmed: 20230569google scholar: lookup
  60. Wang G, Li X, Jiang R, Li Y, Fan X, Zheng Y. Changes in synovial fluid inflammatory mediators and cartilage biomarkers after experimental acute equine synovitis.. Bull Vet Inst Pulawy (2015) 59:129–34.
    doi: 10.1515/bvip-2015-0019google scholar: lookup
  61. Lucia JL, Coverdale JA, Arnold CE, Winsco KN. Influence of an intra-articular lipopolysaccharide challenge on markers of inflammation and cartilage metabolism in young horses.. J Anim Sci (2013) 91:2693–9.
    doi: 10.2527/jas2016.1078pubmed: 23508023google scholar: lookup
  62. Andreassen SM, Vinther AML, Nielsen SS, Andersen PH, Tnibar A, Kristensen AT. Changes in concentrations of haemostatic and inflammatory biomarkers in synovial fluid after intra-articular injection of lipopolysaccharide in horses.. BMC Vet Res (2017) 13:182.
    doi: 10.1186/s12917-017-1089-1pmc: PMC5477303pubmed: 28629364google scholar: lookup
  63. Lane Easter J, Watkins JP, Stephens SL, Kent Carter G, Hague BA, Dutton DW. Effects of regional anesthesia on experimentally induced coffin joint synovitis.. AAEP Proc (2000) 46:214–6.
  64. de Grauw JC, van de Lest CHA, van Weeren R. Inflammatory mediators and cartilage biomarkers in synovial fluid after a single inflammatory insult: a longitudinal experimental study.. Arthritis Res Ther (2009) 11:1–8.
    doi: 10.1186/ar2640pmc: PMC2688180pubmed: 19272138google scholar: lookup
  65. Freitas GC, Carregaro AB, Gehrcke MI, de la Côrte FD, Lara VM, Pozzobon R, Brass KE. Epidural analgesia with morphine or buprenorphine in ponies with lipopolysaccharide (LPS)-induced carpal synovitis.. Can J Vet Res (2011) 75:141–6.
    pmc: PMC3062925pubmed: 21731186
  66. de Grauw JC, van Loon JPAM, van de Lest CHA, Brunott A, van Weeren R. In vivo effects of phenylbutazone on inflammation and cartilage-derived biomarkers in equine joints with acute synovitis.. Vet J (2014) 201:51–6.
    doi: 10.1016/j.tvjl.2014.03.030pubmed: 24888681google scholar: lookup
  67. Tuyttens FAM, de Graaf S, Heerkens JLT, Jacobs L, Nalon E, Ott S. Observer bias in animal behaviour research: can we believe what we score, if we score what we believe?. Anim Behav (2014) 90:273–80.
    doi: 10.1016/j.anbehav.2014.02.007google scholar: lookup

Citations

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  1. Correia-Caeiro C, Zamansky A, Karl S, Bremhorst A. Research Methods for the Analysis of Visual Emotion Cues in Animals: A Workshop Report. Animals (Basel) 2025 Oct 29;15(21).
    doi: 10.3390/ani15213142pubmed: 41227471google scholar: lookup
  2. Medina-Serra R, Sanchis-Mora S, Ruiz CC, Aprea F, Belda E, Laredo FG, Cabezas MÁ. Initial validation of the LSPain scale: a behaviour-based clinical tool for canine lumbosacral pain. Front Vet Sci 2025;12:1684577.
    doi: 10.3389/fvets.2025.1684577pubmed: 41169681google scholar: lookup
  3. Chiavaccini L, Reed RA, Spadavecchia C. Editorial: Advancements in equine pain management. Front Pain Res (Lausanne) 2025;6:1547764.
    doi: 10.3389/fpain.2025.1547764pubmed: 39974313google scholar: lookup
  4. Auer U, Kelemen Z, Vogl C, von Ritgen S, Haddad R, Torres Borda L, Gabmaier C, Breteler J, Jenner F. Development, refinement, and validation of an equine musculoskeletal pain scale. Front Pain Res (Lausanne) 2023;4:1292299.
    doi: 10.3389/fpain.2023.1292299pubmed: 38312997google scholar: lookup
  5. Ask K, Rhodin M, Rashid-Engström M, Hernlund E, Andersen PH. Changes in the equine facial repertoire during different orthopedic pain intensities. Sci Rep 2024 Jan 2;14(1):129.
    doi: 10.1038/s41598-023-50383-ypubmed: 38167926google scholar: lookup
  6. Anderson KA, Morrice-West AV, Wong ASM, Walmsley EA, Fisher AD, Whitton RC, Hitchens PL. Poor Association between Facial Expression and Mild Lameness in Thoroughbred Trot-Up Examinations. Animals (Basel) 2023 May 23;13(11).
    doi: 10.3390/ani13111727pubmed: 37889660google scholar: lookup
  7. Golzari K, Kong Y, Reed SA, Posada-Quintero HF. Sympathetic Arousal Detection in Horses Using Electrodermal Activity. Animals (Basel) 2023 Jan 7;13(2).
    doi: 10.3390/ani13020229pubmed: 36670768google scholar: lookup
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