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短讯:评估直线型牛奶脂肪-蛋白比数据作为自动化挤奶系统牛群中奶牛酮血症指示指标的准确性。

Short communication: Assessing the accuracy of inline milk fat-to-protein ratio data as an indicator of hyperketonemia in dairy cows in herds with automated milking systems.

机构信息

Department of Animal Biosciences, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.

Department of Population Medicine, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.

出版信息

J Dairy Sci. 2019 Sep;102(9):8417-8422. doi: 10.3168/jds.2018-16070. Epub 2019 Jul 10.

Abstract

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.

摘要

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。

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