Langhorne Charlotte, Gupta Suman Das, Horsman Sara, Wood Caitlin, Wood Benjamin J, Barker Leslie, Deutscher Ania, Price Rochelle, McGowan Michael R, Humphris Mark, Ranjbar Shahab, Henning Joerg, Gibson Justine S
School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia.
Gulbali Institute, Charles Sturt University, Wagga Wagga, NSW, Australia.
Front Vet Sci. 2023 Aug 10;10:1232048. doi: 10.3389/fvets.2023.1232048. eCollection 2023.
A 5-year retrospective study was conducted to describe the mastitis-causing organisms isolated from bovine milk samples submitted to four veterinary diagnostic laboratories in Australia. The aim of this study was to identify temporal, geographical, and seasonal patterns of occurrence for the organisms and report the susceptibility of the most common mastitis-causing pathogens. In total, 22,102 milk samples were submitted between 2015 and 2019. The results were reported as positive growth for at least one significant organism ( = 11,407; 51.6%), no growth ( = 5,782; 26.2%), and mixed/contaminated growth ( = 4,913; 22.2%). Culture results for no growth, gram-negative bacteria, and eukaryotic organisms were combined for each region, and they were accounted for between 23 and 46% of submissions. These results represent a subset of mastitis cases for which the antibiotic treatment may not be warranted. A total of 11,907 isolates were cultured from 11,407 milk samples. The most common isolated organisms were [41.3%; 95% confidence interval (CI): 40.4-42.1%] and (23.6%; 95% CI: 22.8-24.3%). For and , there was an association between a positive culture result and the dairy region. All regions except for the Sub-tropical Dairy region were more likely to culture compared to the reference, Dairy NSW ( < 0.001). Similarly, for , a positive culture result was more likely in all other dairy regions compared to Dairy NSW ( < 0.001). The LISA cluster analysis identified differences between High-High (hotspot) postcodes for . and . throughout all the analyzed dairy regions. These results highlight the need for further investigations into specific risk factors, such as environmental factors and herd-level predictors, which may have influenced the observed regional variations. Common mastitis-causing pathogens showed overall good susceptibility to a range of antimicrobials used in the treatment of mastitis. On-going surveillance of mastitis-causing pathogens and their antimicrobial susceptibilities will facilitate targeted mastitis control and treatment programs.
开展了一项为期5年的回顾性研究,以描述从提交至澳大利亚四个兽医诊断实验室的牛乳样本中分离出的引起乳腺炎的微生物。本研究的目的是确定这些微生物的时间、地理和季节发生模式,并报告最常见的引起乳腺炎的病原体的药敏情况。2015年至2019年期间共提交了22102份牛奶样本。结果报告为至少有一种重要微生物生长阳性(n = 11407;51.6%)、无生长(n = 5782;26.2%)以及混合/污染生长(n = 4913;22.2%)。将每个地区无生长、革兰氏阴性菌和真核生物的培养结果合并,它们占提交样本的23%至46%。这些结果代表了可能无需进行抗生素治疗的乳腺炎病例的一个子集。从11407份牛奶样本中培养出了总共11907株分离菌。最常分离出的微生物是金黄色葡萄球菌[41.3%;95%置信区间(CI):40.4 - 42.1%]和无乳链球菌(23.6%;95% CI:22.8 - 24.3%)。对于金黄色葡萄球菌和无乳链球菌,培养结果阳性与奶牛养殖地区之间存在关联。与参考地区新南威尔士州奶牛养殖区相比,除亚热带奶牛养殖区外的所有地区培养出金黄色葡萄球菌的可能性更高(P < 0.001)。同样,对于无乳链球菌,与新南威尔士州奶牛养殖区相比,所有其他奶牛养殖区培养结果阳性的可能性更高(P < 0.001)。局部空间自相关(LISA)聚类分析确定了在所有分析的奶牛养殖地区中,金黄色葡萄球菌、无乳链球菌的高高(热点)邮政编码区域之间存在差异。这些结果突出表明需要进一步调查可能影响所观察到的区域差异的特定风险因素,如环境因素和畜群水平预测指标。常见的引起乳腺炎的病原体对一系列用于治疗乳腺炎的抗菌药物总体表现出良好的敏感性。对引起乳腺炎的病原体及其药敏情况进行持续监测将有助于制定有针对性的乳腺炎控制和治疗方案。