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基于先前的检测结果预测患有乳腺炎的奶牛金黄色葡萄球菌分离株对青霉素的耐药性。

Prediction of penicillin resistance in Staphylococcus aureus isolates from dairy cows with mastitis, based on prior test results.

作者信息

Grinberg A, Lopez-Villalobos N, Lawrence K, Nulsen M

机构信息

Institute of Veterinary, Animal and Biomedical Sciences, Massey University, Private Bag 11222, Palmerston North, New Zealand.

出版信息

N Z Vet J. 2005 Oct;53(5):332-5. doi: 10.1080/00480169.2005.36569.

Abstract

AIM

To gauge how well prior laboratory test results predict in vitro penicillin resistance of Staphylococcus aureus isolates from dairy cows with mastitis.

METHODS

Population-based data on the farm of origin (n=79), genotype based on pulsed-field gel electrophoresis (PFGE) results, and the penicillin-resistance status of Staph. aureus isolates (n=115) from milk samples collected from dairy cows with mastitis submitted to two diagnostic laboratories over a 6-month period were used. Data were mined stochastically using the all-possible-pairs method, binomial modelling and bootstrap simulation, to test whether prior test results enhance the accuracy of prediction of penicillin resistance on farms.

RESULTS

Of all Staph. aureus isolates tested, 38% were penicillin resistant. A significant aggregation of penicillin-resistance status was evident within farms. The probability of random pairs of isolates from the same farm having the same penicillin-resistance status was 76%, compared with 53% for random pairings of samples across all farms. Thus, the resistance status of randomly selected isolates was 1.43 times more likely to correctly predict the status of other isolates from the same farm than the random population pairwise concordance probability (p=0.011). This effect was likely due to the clonal relationship of isolates within farms, as the predictive fraction attributable to prior test results was close to nil when the effect of within-farm clonal infections was withdrawn from the model.

CONCLUSIONS

Knowledge of the penicillin-resistance status of a prior Staph. aureus isolate significantly enhanced the predictive capability of other isolates from the same farm. In the time and space frame of this study, clinicians using previous information from a farm would have more accurately predicted the penicillin-resistance status of an isolate than they would by chance alone on farms infected with clonal Staph. aureus isolates, but not on farms infected with highly genetically heterogeneous bacterial strains.

摘要

目的

评估先前的实验室检测结果对乳腺炎奶牛金黄色葡萄球菌分离株体外青霉素耐药性的预测效果。

方法

使用了来自79个养殖场的基于群体的数据、基于脉冲场凝胶电泳(PFGE)结果的基因型,以及在6个月期间提交给两个诊断实验室的乳腺炎奶牛乳汁样本中金黄色葡萄球菌分离株(n = 115)的青霉素耐药状态数据。采用全可能配对法、二项式建模和自助模拟对数据进行随机挖掘,以检验先前的检测结果是否能提高养殖场青霉素耐药性预测的准确性。

结果

在所有检测的金黄色葡萄球菌分离株中,38%对青霉素耐药。养殖场内青霉素耐药状态存在明显的聚集现象。来自同一养殖场的随机配对分离株具有相同青霉素耐药状态的概率为76%,而所有养殖场样本随机配对的概率为53%。因此,随机选择的分离株的耐药状态正确预测同一养殖场其他分离株状态的可能性是随机群体成对一致性概率的1.43倍(p = 0.011)。这种效应可能是由于养殖场内分离株的克隆关系,因为当从模型中去除养殖场内克隆感染的影响时,先前检测结果的预测比例接近于零。

结论

了解先前金黄色葡萄球菌分离株的青霉素耐药状态可显著提高同一养殖场其他分离株的预测能力。在本研究的时间和空间框架内,对于感染克隆性金黄色葡萄球菌分离株的养殖场,临床医生利用养殖场先前的信息比仅凭偶然因素能更准确地预测分离株的青霉素耐药状态,但对于感染高度基因异质性细菌菌株的养殖场则不然。

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