Enger B D, White R R, Nickerson S C, Fox L K
Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061.
Department of Dairy Science, Virginia Polytechnic Institute and State University, Blacksburg 24061.
J Dairy Sci. 2016 Dec;99(12):9900-9911. doi: 10.3168/jds.2016-11359. Epub 2016 Oct 5.
Two meta-analyses were conducted using data from peer-reviewed natural exposure (NE) and experimental challenge (EC) teat dip efficacy trials to identify factors influencing the new intramammary infection (IMI) rate. A NE data set containing 16 studies and an EC data set containing 21 studies were created. New IMI rate was calculated based on the percentage of new quarter infections per month (PNQI/mo) for each observation, in both data sets, and used as the dependent variable for model derivation. A linear, mixed-effects model with a random study effect, weighted by number of quarters eligible for infection, was derived for each data set. The final NE model included the effects of experimental design (split herd or split udder), mastitis pathogen group (Staphylococcus aureus, Streptococcus agalactiae, environmental streptococci, gram-negative species, Corynebacterium spp., or coagulase-negative staphylococci), postmilking treatment (iodine, chlorhexidine, linear dodecyl benzene sulfonic acid, chlorine compounds, phenol compounds, or undipped negative controls), and the interaction between mastitis pathogen group and postmilking treatment. Overall, Corynebacterium spp. had the highest new IMI rate (0.0139±0.0018 PNQI/mo), and environmental streptococci and gram-negative species had the lowest (0.0023±0.0022 PNQI/mo). Additionally, trials utilizing a split herd experimental design had a 2-fold higher new IMI rate than trials using a split udder design. The final EC model included the effects of mastitis pathogen (Staph. aureus and Strep. agalactiae), postmilking treatment (iodine, chlorine compounds, "other" active ingredients, or undipped negative controls), geographic region of study (Eastern, Southern, and Pacific Northwest), and the 2-way interactions of region and pathogen group and postmilking treatment and pathogen group. Overall, Staph. aureus and Strep. agalactiae had similar new IMI rates. Quarters dipped postmilking in either iodine (0.0127±0.0099 PNQI/mo), chlorine compounds (0.0258±0.0095 PNQI/mo), or "other" active ingredient teat dips (0.0263±0.0106 PNQI/mo) had lower new IMI rates than undipped quarters (0.0859±0.0087 PNQI/mo). These results indicate that experimental design influences the new IMI rate of teat dip efficacy trials and that using an effective postmilking teat dip has a greater effect on controlling the new Staph. aureus and Strep. agalactiae IMI rate than the teat dip's active ingredient.
利用同行评审的自然暴露(NE)和实验性攻毒(EC)乳头浸液功效试验数据进行了两项荟萃分析,以确定影响新的乳房内感染(IMI)率的因素。创建了一个包含16项研究的NE数据集和一个包含21项研究的EC数据集。在两个数据集中,基于每个观察值每月新季度感染的百分比(PNQI/月)计算新IMI率,并将其用作模型推导的因变量。为每个数据集推导了一个具有随机研究效应的线性混合效应模型,该模型按符合感染条件的季度数加权。最终的NE模型包括实验设计(分群或分乳区)、乳腺炎病原体组(金黄色葡萄球菌、无乳链球菌、环境链球菌、革兰氏阴性菌、棒状杆菌属或凝固酶阴性葡萄球菌)、挤奶后处理(碘、氯己定、直链十二烷基苯磺酸、氯化合物、酚类化合物或未浸药的阴性对照)以及乳腺炎病原体组与挤奶后处理之间的相互作用。总体而言,棒状杆菌属的新IMI率最高(0.0139±0.0018 PNQI/月),环境链球菌和革兰氏阴性菌的新IMI率最低(0.0023±0.0022 PNQI/月)。此外,采用分群实验设计的试验的新IMI率比采用分乳区设计的试验高2倍。最终的EC模型包括乳腺炎病原体(金黄色葡萄球菌和无乳链球菌)、挤奶后处理(碘、氯化合物、“其他”活性成分或未浸药的阴性对照)、研究的地理区域(东部、南部和太平洋西北部)以及区域与病原体组、挤奶后处理与病原体组的双向相互作用。总体而言,金黄色葡萄球菌和无乳链球菌的新IMI率相似。挤奶后用碘(0.0127±0.0099 PNQI/月)、氯化合物(0.0258±0.0095 PNQI/月)或“其他”活性成分乳头浸液浸洗的乳区的新IMI率低于未浸洗的乳区(0.0859±0.0087 PNQI/月)。这些结果表明,实验设计会影响乳头浸液功效试验的新IMI率,并且使用有效的挤奶后乳头浸液对控制金黄色葡萄球菌和无乳链球菌新IMI率的影响大于乳头浸液的活性成分。