马肌肉骨骼疼痛量表的开发、改进和验证

Ulrike Auer, Z. Kelemen, Claus Vogl, Stephanie von Ritgen, Rabea Haddad, Laura Torres Borda, Christopher Gabmaier, John Breteler, Florien Jenner
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引用次数: 0

摘要

肌肉骨骼疾病是导致慢性疼痛的常见原因,但往往被忽视,治疗不当,影响了人类和马匹的生活质量。肌肉骨骼疼痛导致的跛行在马匹中很普遍,但与兽医诊断相比,马主对疼痛的感知程度较低。因此,本研究旨在建立并验证一个方便马主和兽医使用的慢性马骨科疼痛量表,以促进对马疼痛的识别和监测。新开发的肌肉骨骼疼痛量表(MPS)适用于马匹保护区饲养的 154 匹马(平均年龄 20 ± 6.4 岁,SD),其中 128 匹(83%)患有慢性骨科疾病。为了完成 MPS,我们从远处观察并录制了马匹在盒子或围栏中休息时的情况。此外,它们还接受了全面的临床和矫形检查。需要兽医干预以解决疼痛问题(由独立于本研究的保护区评估和执行)被用作纵向健康结果,以确定 MPS 的预测有效性。为了确定评分者之间的一致性,另外由六名盲评分者(三名马兽医从业人员和三名经验丰富的马术运动员)对随机挑选的 30 匹马进行了 MPS 评分。根据 MPS 与步行和小跑时跛足评估的相关性、对纵向健康结果的预测有效性以及评分者之间的一致性等方面的改进情况,采用迭代过程来完善该工具。类内相关性从原始 MPS 的 0.77 提高到改进版的 0.88(95% 置信区间:0.8-0.94)。改进后的 MPS 与步行(r = 0.44,p = 0.001)和小跑(r = 0.5,p < 0.0001)时的跛足有显著相关性。需要兽医干预的马匹(平均 MPS = 8.6)与不需要兽医干预的马匹(平均 MPS = 5.0,p = 0.0007)之间的改良 MPS 存在明显差异。总之,MPS在专家和非专业评分者之间显示出良好的重复性,与步行和小跑时的跛足有显著相关性,对纵向健康结果有良好的预测效力,证实了其识别有矫形健康问题的马匹的能力。
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Development, refinement, and validation of an equine musculoskeletal pain scale
Musculoskeletal disease is a common cause of chronic pain that is often overlooked and inadequately treated, impacting the quality of life of humans and horses alike. Lameness due to musculoskeletal pain is prevalent in horses, but the perception of pain by owners is low compared with veterinary diagnosis. Therefore, this study aims to establish and validate a pain scale for chronic equine orthopaedic pain that is user-friendly for horse owners and veterinarians to facilitate the identification and monitoring of pain in horses. The newly developed musculoskeletal pain scale (MPS) was applied to 154 horses (mean age 20 ± 6.4 years SD) housed at an equine sanctuary, of which 128 (83%) suffered from chronic orthopaedic disease. To complete the MPS, the horses were observed and videotaped from a distance while at rest in their box or enclosure. In addition, they received a complete clinical and orthopaedic exam. The need for veterinary intervention to address pain (assessed and executed by the sanctuary independent from this study) was used as a longitudinal health outcome to determine the MPS’s predictive validity. To determine the interrater agreement, the MPS was scored for a randomly selected subset of 30 horses by six additional blinded raters, three equine veterinary practitioners, and three experienced equestrians. An iterative process was used to refine the tool based on improvements in the MPS’s correlation with lameness evaluated at the walk and trot, predictive validity for longitudinal health outcomes, and interrater agreement. The intraclass correlation improved from 0.77 of the original MPS to 0.88 of the refined version (95% confidence interval: 0.8–0.94). The refined MPS correlated significantly with lameness at the walk (r = 0.44, p = 0.001) and trot (r = 0.5, p < 0.0001). The refined MPS significantly differed between horses that needed veterinary intervention (mean MPS = 8.6) and those that did not (mean MPS = 5.0, p = 0.0007). In summary, the MPS showed good interrater repeatability between expert and lay scorers, significant correlation with lameness at the walk and trot, and good predictive validity for longitudinal health outcomes, confirming its ability to identify horses with orthopaedic health problems.
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