de Haas Y, Veerkamp R F, Barkema H W, Gröhn Y T, Schukken Y H
Institute for Animal Science and Health, ID-Lelystad, 8200 AB Lelystad, The Netherlands.
J Dairy Sci. 2004 Jan;87(1):95-105. doi: 10.3168/jds.S0022-0302(04)73146-X.
Associations were estimated between pathogen-specific cases of clinical mastitis (CM) and somatic cell count (SCC) patterns based on deviations from the typical curve for SCC during lactation and compared with associations between pathogen-specific CM and lactation average SCC. Data from 274 Dutch herds recording CM over an 18-mo period were used. Pathogens found were Staphylococcus aureus, coagulase-negative staphylococci, Escherichia coli, Streptococcus dysgalactiae, Streptococcus uberis, streptococci other than Strep. dysgalactiae and Strep. uberis, and culture-negative samples. The dataset contained 245,595 test-day records on SCC, recorded in 24,012 lactations of 19,733 cows of different parities. Pattern definitions were based on three or five consecutive test-day records. The patterns differentiated between a short or longer period of increased SCC and also between lactations with and without recovery. Logistic regression was applied to identify associations between presence of patterns and occurrence of pathogens. Occurrence of overall CM in a lactation is equally or even more accurately predicted by the presence of SCC in that lactation, than by a lactation average SCC of more than 200,000 cells/mL. Patterns can also distinguish between chances of risk for specific mastitis-causing pathogens. Clinical E. coli mastitis was significantly associated with the presence of a short peak in SCC, whereas Staph. aureus was associated with long increased SCC. Streptococcus dysgalactiae was not strongly associated with any of the defined patterns of peaks in SCC, and no single unambiguous pattern was found for Strep. uberis.
基于泌乳期间体细胞计数（SCC）与典型曲线的偏差，估计临床乳腺炎（CM）病原体特异性病例与SCC模式之间的关联，并与病原体特异性CM和泌乳期平均SCC之间的关联进行比较。使用了来自274个荷兰牛群在18个月期间记录CM的数据。发现的病原体有金黄色葡萄球菌、凝固酶阴性葡萄球菌、大肠杆菌、停乳链球菌、乳房链球菌、除停乳链球菌和乳房链球菌外的其他链球菌以及培养阴性样本。该数据集包含245,595条SCC检测日记录，记录于19,733头不同胎次奶牛的24,012次泌乳中。模式定义基于连续三个或五个检测日记录。这些模式区分了SCC升高的短期或长期，以及有恢复和没有恢复的泌乳期。应用逻辑回归来确定模式的存在与病原体发生之间的关联。与泌乳期平均SCC超过200,000个细胞/毫升相比，泌乳期SCC的存在能更准确或同样准确地预测泌乳期总体CM的发生。模式还可以区分特定乳腺炎致病病原体的风险几率。临床大肠杆菌性乳腺炎与SCC的短峰值显著相关，而金黄色葡萄球菌与SCC的长期升高相关。停乳链球菌与任何定义的SCC峰值模式均无强烈关联，且未发现乳房链球菌的单一明确模式。
