Usefulness of differential somatic cell count for udder health monitoring: Diagnostic performance of somatic cell count and differential somatic cell count for diagnosing intramammary infections in dairy herds with automated milking systems

IF 4.4 1区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE Journal of Dairy Science Pub Date : 2025-04-01 Epub Date: 2024-12-16 DOI:10.3168/jds.2024-25404
Mariana Fonseca , Daryna Kurban , Jean-Philippe Roy , Débora E. Santschi , Elouise Molgat , Simon Dufour
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Abstract

Mastitis poses significant economic challenges for dairy farms. Therefore, enhancing the accuracy of diagnostic methods for detecting IMI can potentially improve prevention, control, and treatment strategies. The SCC is a well-established parameter for identifying inflammation resulting from IMI. Given the recent introduction of differential somatic cell count (DSCC) for routine milk sample screening, limited research has been conducted to assess its additional benefits for diagnosing IMI. Therefore, our main objective was to evaluate the diagnostic accuracy of SCC, DSCC, and SCC-DSCC combinations in detecting IMI caused by any pathogen or by major pathogens using quarter milk samples. Five dairy herds using automated milking systems were selected using convenience sampling in Québec, Canada. Determination of SCC and DSCC was performed by Lactanet (Ste-Anne de Bellevue, QC, Canada) using a CombiFoss 7 DC instrument. A 5-populations 2-tests Bayesian latent class models was used, with bacteriological culture employed as the imperfect reference test. Posterior estimates for sensitivity (Se), specificity (Sp), and the predictive values for 2 hypotheticals IMI prevalences due to any pathogen or major pathogens were computed. The proportion of quarters positive for any pathogen or major pathogen using milk culture was 31.7% (5,125/16,176) and 5.4% (871/16,176), respectively. For the detection of IMI by any pathogen, using a serial interpretation for the combination of SCC ≥100,000 and DSCC at ≥65% increased the Sp from 0.71 (95% Bayesian credible intervals [95BCI]: 0.70, 0.72) to 0.84 (95BCI: 0.83, 0.86) compared with SCC alone at the cutoff ≥100,000 cells/mL, although resulting in a slight decrease in Se from 0.49 (95BCI: 0.43, 0.54) to 0.46 (95BCI: 0.42, 0.50). Moreover, for detecting IMI caused by major pathogens, combining SCC at the threshold of ≥100,000 cells/mL and DSCC at the threshold of ≥65% using serial interpretation increased the Sp from 0.68 (95BCI: 0.67, 0.69) to 0.80 (95BCI: 0.79, 0.81) compared with SCC alone at the ≥100,000 cells/mL threshold. Our findings suggest that DSCC could be combined with SCC to provide a modest improvement in Sp with minimal compromise in Se for identifying IMI caused by any or by major pathogens. In addition, DSCC combined with SCC provided a small improvement in Se for detecting any pathogen using the parallel interpretation. However, no improvements in Se were observed when using the combination of SCC and DSCC for detecting major pathogens.
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鉴别体细胞计数对乳腺健康监测的有用性:在使用自动挤奶系统的奶牛群中,体细胞计数的诊断性能和鉴别体细胞计数对乳腺内感染的诊断。
乳腺炎给奶牛场带来了巨大的经济挑战。因此,提高检测乳腺内感染(IMI)的诊断方法的准确性可以潜在地改善预防、控制和治疗策略。体细胞计数(SCC)是识别IMI引起的炎症的一个公认的参数。鉴于最近引入的差异体细胞计数(DSCC)常规乳汁样本筛查,有限的研究已进行评估其额外的好处,诊断IMI。因此,我们的主要目的是评估SCC、DSCC和SCC-DSCC组合在检测由任何病原体或主要病原体引起的IMI时的诊断准确性。采用方便抽样的方法,在加拿大quamesbec选取了5个使用自动挤奶系统的奶牛群。SCC和DSCC的测定由Lactanet (st - anne de Bellevue, QC, Canada)使用CombiFoss 7直流仪器进行。采用5种群2检验贝叶斯潜类模型,以细菌培养为不完全参考检验。计算了敏感性(Se)、特异性(Sp)的后验估计,以及由任何病原体或主要病原体引起的2种假设IMI患病率的预测值。其中,乳培养病原菌阳性率为31.7%(5125 / 16176),主要病原菌阳性率为5.4%(871/ 16176)。对于任何病原体的IMI检测,使用SCC≥100,000和DSCC≥65%组合的序列解释,与SCC单独在临界值≥100,000细胞/mL时相比,Sp从0.71 (95BCI: 0.70, 0.72)增加到0.84 (95BCI: 0.83, 0.86),尽管导致Se从0.49 (95BCI: 0.43, 0.54)轻微下降到0.46 (95BCI: 0.42, 0.50)。此外,对于主要病原体引起的IMI检测,与单独检测≥100,000 cells/mL阈值的SCC相比,联合检测≥100,000 cells/mL阈值的SCC和≥65%阈值的DSCC使用序列解释将Sp从0.68 (95BCI: 0.67, 0.69)提高到0.80 (95BCI: 0.79, 0.81)。我们的研究结果表明,DSCC可以与SCC联合使用,在确定由任何或主要病原体引起的IMI时,提供适度的Sp改善和最小的Se损害。此外,DSCC与SCC联合使用平行解释对检测任何病原体都提供了微小的改善。然而,当使用SCC和DSCC联合检测主要病原体时,Se没有得到改善。
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来源期刊
Journal of Dairy Science
Journal of Dairy Science 农林科学-奶制品与动物科学
CiteScore
7.90
自引率
17.10%
发文量
784
审稿时长
4.2 months
期刊介绍: The official journal of the American Dairy Science Association®, Journal of Dairy Science® (JDS) is the leading peer-reviewed general dairy research journal in the world. JDS readers represent education, industry, and government agencies in more than 70 countries with interests in biochemistry, breeding, economics, engineering, environment, food science, genetics, microbiology, nutrition, pathology, physiology, processing, public health, quality assurance, and sanitation.
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