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监测以控制抗微生物药物耐药性。

Surveillance for control of antimicrobial resistance.

机构信息

Division of Infectious Diseases, Tübingen University Hospital, DZIF Center, Tübingen, Germany.

US Medical Affairs Evidence Generation, AstraZeneca Pharmaceuticals LP, Gaithersburg, MD, USA.

出版信息

Lancet Infect Dis. 2018 Mar;18(3):e99-e106. doi: 10.1016/S1473-3099(17)30485-1. Epub 2017 Nov 5.

Abstract

Antimicrobial resistance poses a growing threat to public health and the provision of health care. Its surveillance should provide up-to-date and relevant information to monitor the appropriateness of therapy guidelines, antibiotic formulary, antibiotic stewardship programmes, public health interventions, infection control policies, and antimicrobial development. In Europe, although the European Antimicrobial Resistance Surveillance Network provides annual reports on monitored resistant bacteria, national surveillance efforts are still fragmented and heterogeneous, and have substantial structural problems and issues with laboratory data. Most incidence and prevalence data cannot be linked with relevant epidemiological, clinical, or outcome data. Genetic typing, to establish whether trends of antimicrobial resistance are caused by spread of resistant strains or by transfer of resistance determinants among different strains and species, is not routinely done. Furthermore, laboratory-based surveillance using only clinical samples is not likely to be useful as an early warning system for emerging pathogens and resistance mechanisms. Insufficient coordination of surveillance systems of human antimicrobial resistance with animal surveillance systems is even more concerning. Because results from food surveillance are considered commercially sensitive, they are rarely released publicly by regulators. Inaccurate or incomplete surveillance data delay a translational approach to the threat of antimicrobial resistance and inhibit the identification of relevant target microorganisms and populations for research and the revitalisation of dormant drug-discovery programmes. High-quality, comprehensive, and real-time surveillance data are essential to reduce the burden of antimicrobial resistance. Improvement of national antimicrobial resistance surveillance systems and better alignment between human and veterinary surveillance systems in Europe must become a scientific and political priority, coordinated with international stakeholders within a global approach to reduce the burden of antimicrobial resistance.

摘要

抗菌药物耐药性对公众健康和医疗保健的提供构成了日益严重的威胁。其监测应提供最新和相关的信息,以监测治疗指南、抗生素处方、抗生素管理计划、公共卫生干预措施、感染控制政策和抗菌药物开发的适当性。在欧洲,尽管欧洲抗菌药物耐药性监测网络每年都会报告监测到的耐药细菌情况,但国家监测工作仍然分散且存在差异,并且存在结构问题和实验室数据问题。大多数发病率和流行率数据无法与相关的流行病学、临床或结果数据相关联。遗传分型,以确定抗菌药物耐药性趋势是由耐药菌株的传播引起的,还是由不同菌株和物种之间的耐药决定因素转移引起的,尚未常规进行。此外,仅使用临床样本进行基于实验室的监测不太可能成为新兴病原体和耐药机制的早期预警系统。人类抗菌药物耐药性监测系统与动物监测系统之间的协调不足更为令人担忧。由于食品监测的结果被认为具有商业敏感性,监管机构很少公开发布这些结果。不准确或不完整的监测数据会延迟对抗菌药物耐药性威胁的转化方法,并阻碍确定相关的研究目标微生物和人群,以及恢复休眠的药物发现计划。高质量、全面和实时的监测数据对于减轻抗菌药物耐药性负担至关重要。改善国家抗菌药物耐药性监测系统,并在人类和兽医监测系统之间更好地协调,必须成为欧洲的科学和政治优先事项,与全球范围内的利益相关者协调,以减轻抗菌药物耐药性的负担。

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