Section of Epidemiology, Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14850, USA.
J Dairy Sci. 2010 Aug;93(8):3513-24. doi: 10.3168/jds.2009-2742.
Among the costs attributed to Mycobacterium avium ssp. paratuberculosis (MAP) infection in dairy cattle, the effects on reproduction and culling are the least documented. To estimate the cost of MAP infections and Johne's disease in a dairy herd, the rates of calving and culling were calculated for cows in each stage of MAP infection relative to uninfected cows. Data from 6 commercial dairy herds, consisting of 2,818 cows with 2,754 calvings and 1,483 cullings, were used for analysis. Every cow in each study herd was tested regularly for MAP, and herds were followed for between 4 and 7 yr. An ordinal categorical variable for Johne's disease status [test-negative, low-positive (low-shedding or ELISA-positive only), or high-shedding] was defined as a time-dependent variable for all cows with at least 1 positive test result or 2 negative test results. A Cox regression model, stratified on herd and controlling for the time-dependent infection variable, was used to analyze time to culling. Nonshedding animals were significantly less likely to be culled in comparison with animals in the low-shedding or ELISA-positive category, and high-shedding animals had nonsignificantly higher culling rates than low-shedding or ELISA-positive animals. Time to calving was analyzed using a proportional rates model, an analog to the Andersen-Gill regression model suitable for recurrent event data, stratifying on herd and weighted to adjust for the dependent censoring caused by the culling effects described above. High-shedding animals had lower calving rates in comparison with low-shedding or ELISA-positive animals, which tended to have higher calving rates than test-negative animals.
在导致禽分枝杆菌副结核亚种(MAP)感染奶牛的成本中,对繁殖和淘汰的影响记录最少。为了估计奶牛群中 MAP 感染和约翰氏病的成本,对每个 MAP 感染阶段的奶牛与未感染奶牛的产犊和淘汰率进行了计算。使用了来自 6 个商业奶牛场的数据,这些奶牛场共有 2818 头奶牛,其中 2754 头产犊,1483 头淘汰。每个研究牛群中的每头奶牛都定期接受 MAP 检测,每个牛群的跟踪时间为 4 至 7 年。将约翰氏病状态的有序分类变量[检测阴性、低阳性(低脱落或仅 ELISA 阳性)或高脱落]定义为所有至少有 1 次阳性检测结果或 2 次阴性检测结果的奶牛的时间相关变量。使用 Cox 回归模型,按牛群分层,并控制时间相关的感染变量,对淘汰时间进行分析。与低脱落或 ELISA 阳性动物相比,不脱落动物淘汰的可能性明显较低,而高脱落动物的淘汰率与低脱落或 ELISA 阳性动物相比没有显著增加。使用比例率模型分析产犊时间,这是一种适合复发事件数据的 Andersen-Gill 回归模型的模拟,按牛群分层,并加权调整上述淘汰效果引起的依赖删失。与低脱落或 ELISA 阳性动物相比,高脱落动物的产犊率较低,而低脱落或 ELISA 阳性动物的产犊率又高于检测阴性动物。