Department of Animal Science, Cornell University, Ithaca, NY 14853.
College of Veterinary Medicine, University of Minnesota, St. Paul, MN 55108.
J Dairy Sci. 2023 Dec;106(12):9345-9365. doi: 10.3168/jds.2022-23157. Epub 2023 Aug 23.
Understanding changes in parameters recorded by automated health monitoring systems based on ear-attached sensors on the days immediately before and after diagnosis of metritis and clinical mastitis can help develop dairy cow health monitoring strategies. The objective of this observational cohort study was to characterize rumination time, physical activity, and lying time monitored by an ear-attached sensor before, during, and after clinical diagnosis (CD) of metritis and clinical mastitis. Lactating Holsteins monitored daily for 21 d in milk for detection of health disorders were retrospectively included in the no clinical health disorder group (NCHD; n = 616) if no disorders were diagnosed. Cows were included in the metritis (MET; n = 69) or clinical mastitis (MAST; n = 36) group if diagnosed only with nonsevere metritis (watery, reddish, and fetid uterine discharge with or without pyrexia) or nonsevere clinical mastitis (visibly abnormal milk secretion with or without signs of udder inflammation, with no pyrexia and no systemic signs of disease), respectively. Cows diagnosed with severe metritis (signs of metritis plus systemic signs of disease) or severe clinical mastitis (signs of mastitis plus pyrexia and systemic signs of disease), and cows diagnosed with nonsevere metritis or clinical mastitis plus another disorder within -7 to +7 d of CD of metritis or clinical mastitis diagnosis, were included in the metritis plus (MET+; n = 25) or the clinical mastitis plus (MAST+; n = 15) group, respectively. Cows were fitted with an ear-attached accelerometer to measure rumination time, physical activity, and lying time. Mean daily values, mean value absolute change, and relative change for the mean daily value from 3 or 5 d before CD to the nadir for cows with metritis and clinical mastitis, respectively, were analyzed with linear mixed models with or without repeated measures. Rumination time and physical activity were lesser, and lying time was greater for the MET and MET+ groups than for the NCHD group for most days from -4 to +7 d of CD of metritis. Generally, daily rumination time, physical activity, and lying time differences were greater and more prolonged between the MET+ and NCHD than between the MET and NCHD groups. Similarly, cows in the MAST and MAST+ groups had lesser rumination time and physical activity than cows in the NCHD group for several days before diagnosis. Lying time was greater for the MAST+ than the NCHD group on d -1 and 0 relative to CD. Absolute values and relative changes from 3 d before CD to the day of the nadir for rumination time and physical activity, or peak for lying time, were different for cows in the MET and MET+ groups than for the NCHD group. Similar results were observed for the MAST and MAST+ groups compared with the NCHD group. For cows with metritis, either an increase in rumination time and physical activity or a decrease in lying time was observed from the day of CD to resolution of clinical signs, but no changes were observed for the NCHD. Cows with clinical mastitis and the NCHD group had different rumination times, physical activity, and lying times on the day of CD and resolution of clinical signs, but cows with clinical mastitis had no significant changes from the day of CD to resolution of clinical signs. We conclude that cows affected by metritis and clinical mastitis presented substantial alterations of the patterns of rumination time, physical activity, and lying time captured by an ear-attached sensor. Thus, automated health monitoring systems based on ear-attached sensors might be used as an aid for identifying cows with metritis and clinical mastitis. Moreover, behavioral parameter changes after CD might be good indicators of resolution of clinical signs of metritis but not mastitis.
了解在子宫炎和临床乳腺炎诊断前后几天,基于耳贴传感器的自动健康监测系统记录的参数变化,有助于制定奶牛健康监测策略。本观察性队列研究的目的是描述在子宫炎和临床乳腺炎的临床诊断(CD)前后,通过耳贴传感器监测的反刍时间、身体活动和躺卧时间的特征。如果在检测健康障碍的 21 天牛奶监测中没有诊断出任何障碍,则将泌乳荷斯坦奶牛回顾性地纳入无临床健康障碍组(NCHD;n = 616)。如果仅诊断为非严重子宫炎(水样、微红、有臭味的子宫分泌物,伴有或不伴有发热)或非严重临床乳腺炎(可见异常乳汁分泌,伴有或不伴有乳房炎症迹象,无发热和无全身疾病迹象),则将奶牛纳入子宫炎(MET;n = 69)或临床乳腺炎(MAST;n = 36)组。如果诊断为严重子宫炎(子宫炎迹象加全身疾病迹象)或严重临床乳腺炎(乳腺炎迹象加发热和全身疾病迹象),或在子宫炎或临床乳腺炎 CD 后-7 至+7 天内诊断为非严重子宫炎或临床乳腺炎加另一种疾病的奶牛,则将其纳入子宫炎加(MET+;n = 25)或临床乳腺炎加(MAST+;n = 15)组。奶牛佩戴耳贴加速度计以测量反刍时间、身体活动和躺卧时间。分析了患有子宫炎和临床乳腺炎的奶牛从 CD 前 3 或 5 天到最低点的平均每日值、平均值绝对变化和平均值相对变化,使用了带有或不带有重复测量的线性混合模型。在子宫炎 CD 的-4 至+7 天期间,与 NCHD 组相比,MET 和 MET+组的反刍时间和身体活动时间较少,躺卧时间较长。一般来说,MET+和 MET 组与 NCHD 组之间的每日反刍时间、身体活动和躺卧时间差异更大且更持久。同样,在诊断前几天,MAST 和 MAST+组的奶牛反刍时间和身体活动时间也比 NCHD 组少。与 CD 相比,MAST+组在 d-1 和 0 时的躺卧时间大于 NCHD 组。MET 和 MET+组从 CD 前 3 天到反刍时间和身体活动时间的最低点或躺卧时间的峰值的绝对值和相对变化与 NCHD 组不同。与 NCHD 组相比,MAST 和 MAST+组也观察到了类似的结果。对于患有子宫炎的奶牛,从 CD 到临床症状消退期间,观察到反刍时间和身体活动增加或躺卧时间减少,但 NCHD 无变化。患有临床乳腺炎和 NCHD 组的奶牛在 CD 当天和临床症状消退时的反刍时间、身体活动和躺卧时间不同,但从 CD 到临床症状消退期间,患有临床乳腺炎的奶牛没有明显变化。我们得出结论,患有子宫炎和临床乳腺炎的奶牛表现出通过耳贴传感器捕捉到的反刍时间、身体活动和躺卧时间模式的显著改变。因此,基于耳贴传感器的自动健康监测系统可能被用作识别患有子宫炎和临床乳腺炎的奶牛的辅助手段。此外,CD 后行为参数的变化可能是子宫炎临床症状消退的良好指标,但不是乳腺炎的指标。