Department of Veterinary Clinical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, DK-2630 Taastrup, Denmark.
Department of Animal and Veterinary Sciences, Aarhus University, DK-8830 Tjele, Denmark.
J Dairy Sci. 2024 Feb;107(2):1102-1109. doi: 10.3168/jds.2023-23554. Epub 2023 Sep 13.
Respiratory disease is an ongoing challenge for calves in the dairy sector with a relatively high prevalence and impact on welfare and economics. Applying scoring protocols for detecting respiratory disease requires that they are easily implemented, consistent between observers and fast to use in daily management. This study was conducted in one Danish dairy farm from September 2020 through January 2021. The study included 126 heifer calves enrolled in the age of 17 to 24 d. All calves were observed every second day for a period of 46 d. At each visit all calves were scored with a new visual analog scale (VAS) and the Wisconsin Calf Health Scoring Chart (WCHSC). We calculated agreement between the 2 scoring systems based on conditional probability to score higher or lower than a cutoff in the VAS compared with a specified cutoff in WCHSC used as reference test. A generalized mixed effects regression model was developed to estimate the prevalence of respiratory disease and the overall agreement between the 2 scoring systems. The overall agreement between the VAS and WCHSC was 89.6%. The second part of the study assessed interobserver reliability between 2 experienced observers and between an experienced observer and veterinary students. The interobserver reliability was calculated by intraclass correlation coefficient and was 0.58 between experienced observers and was 0.34 between an experienced observer and veterinary students indicating a moderate to poor reliability between the observers. It was possible to use VAS as an alternative clinical scoring method, which primarily focuses on the general condition of the individual calf rather than specific categories of clinical signs. Our study set up lacked a comparison to other diagnostic tools i.e., thoracic ultrasound to confirm the findings which should be considered in future studies when exploring VAS as a screening tool for detection of respiratory disease in dairy calves.
呼吸道疾病是奶牛场小牛面临的持续挑战,其发病率相对较高,对福利和经济效益有较大影响。应用检测呼吸道疾病的评分方案需要满足易于实施、观察者之间具有一致性且在日常管理中使用快速的要求。本研究于 2020 年 9 月至 2021 年 1 月在丹麦的一个奶牛场进行。该研究包括了 126 头 17-24 日龄的小母牛。所有小牛每两天观察一次,共观察 46 天。每次访问时,所有小牛都使用新的视觉模拟量表(VAS)和威斯康星州小牛健康评分表(WCHSC)进行评分。我们根据条件概率计算了两种评分系统之间的一致性,即与 VAS 中指定的截止值相比,评分高于或低于截止值的概率,该截止值用作参考测试的 WCHSC。开发了广义混合效应回归模型来估计呼吸道疾病的患病率和两种评分系统之间的总体一致性。VAS 和 WCHSC 之间的总体一致性为 89.6%。研究的第二部分评估了两位经验丰富的观察者之间以及一位经验丰富的观察者和兽医学生之间的观察者间可靠性。观察者间可靠性通过组内相关系数进行计算,两位经验丰富的观察者之间的可靠性为 0.58,一位经验丰富的观察者和兽医学生之间的可靠性为 0.34,表明观察者之间的可靠性为中等至较差。可以使用 VAS 作为替代临床评分方法,该方法主要侧重于个体小牛的一般状况,而不是特定的临床症状类别。我们的研究缺乏与其他诊断工具(如胸部超声)的比较,以确认发现,这在未来探索 VAS 作为检测奶牛小牛呼吸道疾病的筛查工具的研究中应予以考虑。