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英国乳制品行业抗菌药物使用基准指标的评估

Evaluation of metrics for benchmarking antimicrobial use in the UK dairy industry.

作者信息

Mills Harriet L, Turner Andrea, Morgans Lisa, Massey Jonathan, Schubert Hannah, Rees Gwen, Barrett David, Dowsey Andrew, Reyher Kristen K

机构信息

Bristol Veterinary School, University of Bristol, Bristol, UK.

MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

Vet Rec. 2018 Mar 31;182(13):379. doi: 10.1136/vr.104701. Epub 2018 Feb 23.

DOI:10.1136/vr.104701
PMID:29476032
Abstract

The issue of antimicrobial resistance is of global concern across human and animal health. In 2016, the UK government committed to new targets for reducing antimicrobial use (AMU) in livestock. Although a number of metrics for quantifying AMU are defined in the literature, all give slightly different interpretations. This paper evaluates a selection of metrics for AMU in the dairy industry: total mg, total mg/kg, daily dose and daily course metrics. Although the focus is on their application to the dairy industry, the metrics and issues discussed are relevant across livestock sectors. In order to be used widely, a metric should be understandable and relevant to the veterinarians and farmers who are prescribing and using antimicrobials. This means that clear methods, assumptions (and possible biases), standardised values and exceptions should be published for all metrics. Particularly relevant are assumptions around the number and weight of cattle at risk of treatment and definitions of dose rates and course lengths; incorrect assumptions can mean metrics over-represent or under-represent AMU. The authors recommend that the UK dairy industry work towards the UK-specific metrics using the UK-specific medicine dose and course regimens as well as cattle weights in order to monitor trends nationally.

摘要

抗菌药物耐药性问题是全球人类和动物健康领域共同关注的问题。2016年,英国政府承诺制定新目标,以减少家畜抗菌药物的使用(AMU)。尽管文献中定义了一些量化抗菌药物使用的指标,但所有指标的解释都略有不同。本文评估了乳业中抗菌药物使用的一系列指标:总毫克数、每千克总毫克数、日剂量和疗程指标。尽管重点是这些指标在乳业中的应用,但所讨论的指标和问题在整个家畜养殖部门都具有相关性。为了得到广泛应用,一个指标应该易于理解,并且与开具和使用抗菌药物的兽医和农民相关。这意味着应该为所有指标公布清晰的方法、假设(以及可能的偏差)、标准化值和例外情况。特别相关的是关于有治疗风险的牛的数量和体重的假设,以及剂量率和疗程长度的定义;错误的假设可能意味着指标高估或低估了抗菌药物的使用情况。作者建议,英国乳业应采用英国特定的药物剂量和疗程方案以及牛的体重,朝着英国特定的指标努力,以便在全国范围内监测趋势。

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