Narbonne Jacob A, Radke Brian R, Price Derek, Hanington Patrick C, Babujee Amreen, Otto Simon J G
Human-Environment-Animal Transdisciplinary Antimicrobial Resistance Research Group, School of Public Health, University of Alberta, Edmonton, AB, Canada.
Faculty of Veterinary Medicine, University of Calgary, Calgary, AB, Canada.
Front Vet Sci. 2021 Mar 11;8:595152. doi: 10.3389/fvets.2021.595152. eCollection 2021.
Quantification and tracking of antimicrobial use (AMU) are key factors for the development of responsible antimicrobial stewardship programs and comparison between countries. Global finfish aquaculture growth and increased AMU creates the potential for exchange of antimicrobial resistance between aquatic and terrestrial environments, making AMU surveillance imperative for this industry. The objective of this review is to collate current literature on AMU surveillance indicators and their application to commercial finfish aquaculture production. A systematic search strategy was applied to five databases: Medline, Embase, Agricola, CAB abstracts, and Biosis. To be included, studies must report on at least one AMU surveillance indicator for use in animals. There is no single, standardized indicator suitable to report finfish aquaculture AMU. The type and availability of finfish aquaculture data presents unique considerations for AMU reporting. Ultimately, the indicator used should be fit-for-purpose to satisfy the objective of the surveillance program, motivation for comparison and provide useful information to the industry stakeholders. Finfish aquaculture total annual slaughter weight allows estimation of biomass for the population correction unit (PCU) to report annual total mg of active antimicrobial ingredient per PCU. These data are commonly reported by finfish aquaculture-producing countries, allowing for international comparisons. However, this precludes the ability to compare to terrestrial livestock where the PCU is based on animal numbers and an average treatment weight, which are not available for finfish aquaculture. The mg per adjusted PCU indicator provides an interesting alternative that incorporates the length of the marine grow-out phase for finfish, but is subject to the same limitations. The number of defined daily doses animal per animal-days-at-risk is useful but also limited by a lack of a defined average treatment weight. The concept of average treatment weight remains challenging for the industry as it does not accurately reflect the timing of actual AMU to fish in the system. The term "average biomass" is more reflective of the intent of AMU surveillance indicators. Defining an average treatment weight, or average biomass, will require industry engagement, which is crucial if AMU reporting is to be deemed credible and provide value back to the finfish aquaculture industry.
抗菌药物使用(AMU)的量化与追踪是制定合理抗菌药物管理计划以及进行国家间比较的关键因素。全球养殖鱼类水产养殖业的发展以及抗菌药物使用量的增加,使得水生和陆生环境之间存在抗菌药物耐药性交换的可能性,这使得抗菌药物使用监测对于该行业至关重要。本综述的目的是整理有关抗菌药物使用监测指标及其在商业养殖鱼类水产养殖生产中的应用的当前文献。对五个数据库应用了系统检索策略:医学索引数据库(Medline)、荷兰医学文摘数据库(Embase)、农业与生物科学数据库(Agricola)、国际农业与生物科学中心数据库(CAB abstracts)和生物学文摘数据库(Biosis)。纳入的研究必须报告至少一项用于动物的抗菌药物使用监测指标。没有单一的、标准化的指标适合报告养殖鱼类水产养殖中的抗菌药物使用情况。养殖鱼类水产养殖数据的类型和可得性为抗菌药物使用报告带来了独特的考量。最终,所使用的指标应符合目的,以满足监测计划的目标、比较的动机,并为行业利益相关者提供有用信息。养殖鱼类水产养殖的年度总屠宰重量可用于估算种群校正单位(PCU)的生物量,以报告每个PCU每年活性抗菌成分的总毫克数。这些数据通常由养殖鱼类水产养殖生产国报告,便于进行国际比较。然而,这排除了与陆生家畜进行比较的能力,因为陆生家畜的种群校正单位是基于动物数量和平均治疗体重,而养殖鱼类水产养殖没有这些数据。每调整后的种群校正单位毫克数指标提供了一个有趣的替代方案,该方案纳入了养殖鱼类在海洋养殖阶段的时长,但也存在同样的局限性。每动物每天风险日的限定日剂量动物数量指标很有用,但也因缺乏明确的平均治疗体重而受到限制。平均治疗体重的概念对该行业来说仍然具有挑战性,因为它不能准确反映系统中实际对鱼类使用抗菌药物的时间。“平均生物量”一词更能反映抗菌药物使用监测指标的意图。定义平均治疗体重或平均生物量将需要行业参与,如果抗菌药物使用报告要被视为可信并为养殖鱼类水产养殖业带来价值,这一点至关重要。