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本文引用的文献

1
Somatic cell count thresholds in composite and quarter milk samples as indicator of bovine intramammary infection status.混合奶样和单份奶样中的体细胞计数阈值作为奶牛乳房内感染状况的指标。
Onderstepoort J Vet Res. 2017 Mar 24;84(1):e1-e10. doi: 10.4102/ojvr.v84i1.1269.
2
Evaluation of minor pathogen intramammary infection, susceptibility parameters, and somatic cell counts on the development of new intramammary infections with major mastitis pathogens.评价小病原体型乳房感染、敏感性参数和体细胞计数对主要乳腺炎病原体引起的新的乳房感染的发展的影响。
J Dairy Sci. 2012 Jul;95(7):3766-80. doi: 10.3168/jds.2011-5148.
3
Estimating the effect of mastitis on the profitability of Irish dairy farms.估算乳腺炎对爱尔兰奶牛场盈利能力的影响。
J Dairy Sci. 2012 Jul;95(7):3662-73. doi: 10.3168/jds.2011-4863.
4
Changing trends in mastitis.乳腺炎的变化趋势。
Ir Vet J. 2009 Apr 1;62 Suppl 4(Suppl 4):S59-70. doi: 10.1186/2046-0481-62-S4-S59.
5
Diagnosing intramammary infections: evaluation of composite milk samples to detect intramammary infections.诊断乳房内感染:评估复合奶样以检测乳房内感染。
J Dairy Sci. 2011 Jul;94(7):3387-96. doi: 10.3168/jds.2010-3907.
6
Diagnosing intramammary infections: evaluation of definitions based on a single milk sample.诊断乳房内感染:基于单个奶样的定义评估。
J Dairy Sci. 2011 Jan;94(1):250-61. doi: 10.3168/jds.2010-3559.
7
Phage typing of staphylococci.葡萄球菌噬菌体分型。
Bull World Health Organ. 1961;24(6):771-84.
8
Trends in udder health and emerging mastitogenic pathogens in South African dairy herds.南非奶牛群乳房健康趋势及新出现的致乳腺炎病原体
J S Afr Vet Assoc. 2009 Mar;80(1):17-22. doi: 10.4102/jsava.v80i1.163.
9
Production loss due to new subclinical mastitis in Dutch dairy cows estimated with a test-day model.采用测定日模型估算荷兰奶牛新发亚临床型乳腺炎造成的生产损失。
J Dairy Sci. 2009 Feb;92(2):599-606. doi: 10.3168/jds.2008-1564.
10
Species identification of coagulase-negative staphylococci: genotyping is superior to phenotyping.凝固酶阴性葡萄球菌的菌种鉴定:基因分型优于表型分型。
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体细胞计数作为特定病原体乳腺内感染指标的有效性。

Validity of somatic cell count as indicator of pathogen-specific intramammary infections.

作者信息

Petzer Inge-Marié, Karzis Joanne, Donkin Edward F, Webb Edward C, Etter Eric M C

机构信息

Department of Production Animal Studies, University of Pretoria.

出版信息

J S Afr Vet Assoc. 2017 Apr 13;88(0):e1-e10. doi: 10.4102/jsava.v88i0.1465.

DOI:10.4102/jsava.v88i0.1465
PMID:28470079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6138137/
Abstract

The objective of this study was to determine whether somatic cell count (SCC) was an effective test, with a sensitivity exceeding 85%, to determine species-specific bacterial infections. In addition, the relation between the SCC and various udder pathogen groups was investigated. SCC thresholds of greater than 200 000 cells/mL were used in quarter and greater than 150 000 cells/mL in composite milk samples. A retrospective study was conducted on a data set for 89 635 quarter and 345 467 composite cow milk samples. Eleven SCC threshold values were used to evaluate the diagnostic efficacy for the following bacteria: Gram-positive major pathogens: Staphylococcus aureus, Streptococcus agalactiae, Streptococcus dysgalactiae and Streptococcus uberis; Gram-negative major pathogens: Escherichia coli, Klebsiella pneumonia and Serratia spp.; minor pathogens: coagulase-negative staphylococci, Micrococcus spp., Staphylococcus pseudintermedius, Streptococcus pyogenes, Enterococcus faecalis, Enterococcus canis, Trueperella pyogenes and other Enterobacteriaceae. Sensitivity and specificity were calculated taking the effect of clustering into account with quarter milk samples. Most samples yielding major Gram-positive pathogens (88.9% in quarter and 79.9% in composite samples) and minor pathogens (61.4% in quarter and 51.7% in composite samples) had SCC greater than 200 000 cells/mL. Sensitivity of the SCC test to detect major pathogens at an SCC threshold of greater than 200 000 cells/mL in quarter samples and greater than 150 000 cells/mL in composite milk samples was 88.2% and 84.2%, respectively, but specificity was low (57.7% and 52.8%, respectively).

摘要

本研究的目的是确定体细胞计数(SCC)是否是一种有效的检测方法,其灵敏度超过85%,用于确定特定物种的细菌感染。此外,还研究了SCC与各种乳房病原体组之间的关系。在四分位牛奶样本中使用大于200 000个细胞/毫升的SCC阈值,在混合牛奶样本中使用大于150 000个细胞/毫升的SCC阈值。对89635个四分位和345467个混合奶牛牛奶样本的数据集进行了回顾性研究。使用11个SCC阈值来评估对以下细菌的诊断效力:革兰氏阳性主要病原体:金黄色葡萄球菌、无乳链球菌、停乳链球菌和乳房链球菌;革兰氏阴性主要病原体:大肠杆菌、肺炎克雷伯菌和沙雷氏菌属;次要病原体:凝固酶阴性葡萄球菌、微球菌属、中间型葡萄球菌、化脓性链球菌、粪肠球菌、犬肠球菌、化脓放线菌和其他肠杆菌科。在考虑四分位牛奶样本聚类效应的情况下计算敏感性和特异性。大多数产生主要革兰氏阳性病原体的样本(四分位样本中为88.9%,混合样本中为79.9%)和次要病原体的样本(四分位样本中为61.4%,混合样本中为51.7%)的SCC大于200 000个细胞/毫升。在四分位样本中,SCC检测主要病原体的敏感性在SCC阈值大于200 000个细胞/毫升时为88.2%,在混合牛奶样本中SCC阈值大于150 000个细胞/毫升时为84.2%,但特异性较低(分别为57.7%和