Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
Department of Population Medicine, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
J Dairy Sci. 2019 Sep;102(9):8417-8422. doi: 10.3168/jds.2018-16070. Epub 2019 Jul 10.
The objective of this study was to evaluate the accuracy of inline milk fat-to-protein (F:P) data to detect hyperketonemia (HYK) in herds with automated milking systems (AMS). The F:P ratio has been investigated as a tool for detecting HYK with moderate accuracy in past studies, but inline F:P data in AMS may also be useful for HYK screening. To assess the accuracy of these data in commercial settings, we monitored 484 cows from 9 AMS herds for their first 3 wk of lactation, taking blood samples once per week (n = 1,427). Positive cases of HYK were defined by whole-blood β-hydroxybutyrate (BHB) concentrations ≥1.2 or ≥1.4 mmol/L. Milk data were collected from the AMS software on each farm for each cow and converted into 4 different F:P values: (1) value from the same day as the BHB test; (2) 5-d centered-moving average (CMA); (3) 5-d backward-moving average (BMA); (4) 5-d forward-moving average (FMA). In linear regression models, all 4 values were associated with BHB, but slope estimates varied and R were low: same day (slope = 0.95, R = 0.07), CMA (slope = 1.05, R = 0.07), BMA (slope = 0.65, R = 0.04), and FMA (slope = 1.23, R = 0.09). In logistic regression models, the odds of having HYK (BHB ≥1.2 mmol/L) increased with every 0.1-unit increase from the mean F:P ratio (1.16) using same-day values (odds ratio = 1.35, 95% confidence interval = 1.25-1.47) and CMA (odds ratio = 1.39, 95% confidence interval = 1.27-1.51). The same increase in F:P from mean BMA (1.14) and FMA (1.17) was associated with 1.22 and 1.49 times the odds of HYK, respectively. For all 4 F:P variations, we evaluated the sensitivity, specificity, positive predictive value, and negative predictive value of different F:P thresholds with HYK status. As the F:P threshold increased from 1.17 to 1.50, sensitivity decreased (range: 77 to 9%) but specificity increased (range: 58 to 96%). Same-day and CMA F:P cutoffs at which a balance was reached between sensitivity and specificity ranged from 1.18 to 1.22; however, even at these values we found high rates of false positives and negatives (range: 31-39%). These results suggest that inline milk F:P data from inconsistently calibrated sensors should not be used alone to detect HYK in AMS herds.
本研究旨在评估在线乳脂-蛋白(F:P)数据在具有自动化挤奶系统(AMS)的牛群中检测酮血症(HYK)的准确性。过去的研究已经将 F:P 比值作为一种检测 HYK 的工具进行了研究,但其在 AMS 中的在线 F:P 数据也可能有助于 HYK 筛查。为了评估这些数据在商业环境中的准确性,我们在 9 个 AMS 牛群中监测了 484 头奶牛的前 3 周泌乳期,每周采集一次血样(n = 1427)。HYK 的阳性病例定义为全血 β-羟丁酸(BHB)浓度≥1.2 或≥1.4mmol/L。每头奶牛在每个农场的 AMS 软件上收集牛奶数据,并将其转换为 4 种不同的 F:P 值:(1)与 BHB 测试同一天的值;(2)5d 中心移动平均值(CMA);(3)5d 后向移动平均值(BMA);(4)5d 前向移动平均值(FMA)。在线性回归模型中,所有 4 个值都与 BHB 相关,但斜率估计值不同,R 值较低:同一天(斜率=0.95,R=0.07),CMA(斜率=1.05,R=0.07),BMA(斜率=0.65,R=0.04),和 FMA(斜率=1.23,R=0.09)。在逻辑回归模型中,每增加 0.1 个单位,F:P 比值(1.16)的均值(使用当天的值),HYK(BHB≥1.2mmol/L)的发生几率就会增加(比值比=1.35,95%置信区间=1.25-1.47)和 CMA(比值比=1.39,95%置信区间=1.27-1.51)。从均值 BMA(1.14)和 FMA(1.17)的 F:P 相同增加与 HYK 的几率分别增加了 1.22 和 1.49 倍。对于所有 4 种 F:P 变化,我们评估了不同 F:P 阈值与 HYK 状态相关的灵敏度、特异性、阳性预测值和阴性预测值。随着 F:P 阈值从 1.17 增加到 1.50,灵敏度降低(范围:77%至 9%),但特异性增加(范围:58%至 96%)。同一天和 CMA F:P 截止值在敏感性和特异性之间达到平衡,范围在 1.18 到 1.22 之间;然而,即使在这些值上,我们也发现了很高的假阳性和假阴性率(范围:31%-39%)。这些结果表明,来自不一致校准传感器的在线乳脂-蛋白数据不应单独用于检测 AMS 牛群中的 HYK。