Approaches for quantifying antimicrobial consumption per animal species based on national sales data: a Swiss example, 2006 to 2013
Approaches for quantifying antimicrobial consumption per animal species based on national sales data: a Swiss example, 2006 to 2013
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DOI：
10.2807/1560-7917.es.2017.22.6.30458
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发表时间：
2017-02-09
期刊：
影响因子：
19
通讯作者：
Magouras, I.
中科院分区：
文献类型：
--
作者：
Carmo, L. P.;Schupbach-Regula, G.;Magouras, I.
众所周知，在动物中使用抗生素会导致全球抗生素耐药性负担。因此，监测牲畜和宠物的抗菌剂销售至关重要。尽管大多数欧洲国家都有兽用抗菌药物销售数据，但目前缺乏动物物种水平的消费监测。在这项研究中，使用瑞士数据（2006-2013年），研究了对每个物种的抗菌剂销售进行分层的替代方法。审议了三种办法：（i）平均分布（艾德）将抗菌剂销售额平均分配给每种产品获得许可的所有物种;（ii）生物量分布（BMD）将抗菌剂消费量分层，对每种物种总生物量的代表性进行加权;以及（iii）纵向研究外推法（LSE）根据描述瑞士处方模式的实地研究为每种物种分配抗菌剂销售额。LSE预计将提供最佳估计，因为它依赖于现场数据。鉴于瑞士的例子，BMD似乎是一个可靠的方法时，处方数据不可用，而艾德似乎低估了消费量的物种与较大的人口和较高的治疗强度。这些方法是改善整个欧洲兽用抗菌药物消费监测系统的宝贵工具。
Antimicrobial use in animals is known to contribute to the global burden of antimicrobial resistance. Therefore, it is critical to monitor antimicrobial sales for livestock and pets. Despite the availability of veterinary antimicrobial sales data in most European countries, surveillance currently lacks consumption monitoring at the animal species level. In this study, alternative methods were investigated for stratifying antimicrobial sales per species using Swiss data (2006-2013). Three approaches were considered: (i) Equal Distribution (ED) allocated antimicrobial sales evenly across all species each product was licensed for; (ii) Biomass Distribution (BMD) stratified antimicrobial consumption, weighting the representativeness of each species' total biomass; and (iii) Longitudinal Study Extrapolation (LSE) assigned antimicrobial sales per species based on a field study describing prescription patterns in Switzerland. LSE is expected to provide the best estimates because it relies on field data. Given the Swiss example, BMD appears to be a reliable method when prescription data are not available, whereas ED seems to underestimate consumption in species with larger populations and higher treatment intensity. These methods represent a valuable tool for improving the monitoring systems of veterinary antimicrobial consumption across Europe.