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2000 年以来涉及中低收入国家的超国家抗菌药物耐药性监测网络清单。

An inventory of supranational antimicrobial resistance surveillance networks involving low- and middle-income countries since 2000.

机构信息

Myanmar-Oxford Clinical Research Unit (MOCRU), Yangon, Myanmar.

Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.

出版信息

J Antimicrob Chemother. 2018 Jul 1;73(7):1737-1749. doi: 10.1093/jac/dky026.

Abstract

Low- and middle-income countries (LMICs) shoulder the bulk of the global burden of infectious diseases and drug resistance. We searched for supranational networks performing antimicrobial resistance (AMR) surveillance in LMICs and assessed their organization, methodology, impacts and challenges. Since 2000, 72 supranational networks for AMR surveillance in bacteria, fungi, HIV, TB and malaria have been created that have involved LMICs, of which 34 are ongoing. The median (range) duration of the networks was 6 years (1-70) and the number of LMICs included was 8 (1-67). Networks were categorized as WHO/governmental (n = 26), academic (n = 24) or pharma initiated (n = 22). Funding sources varied, with 30 networks receiving public or WHO funding, 25 corporate, 13 trust or foundation, and 4 funded from more than one source. The leading global programmes for drug resistance surveillance in TB, malaria and HIV gather data in LMICs through periodic active surveillance efforts or combined active and passive approaches. The biggest challenges faced by these networks has been achieving high coverage across LMICs and complying with the recommended frequency of reporting. Obtaining high quality, representative surveillance data in LMICs is challenging. Antibiotic resistance surveillance requires a level of laboratory infrastructure and training that is not widely available in LMICs. The nascent Global Antimicrobial Resistance Surveillance System (GLASS) aims to build up passive surveillance in all member states. Past experience suggests complementary active approaches may be needed in many LMICs if representative, clinically relevant, meaningful data are to be obtained. Maintaining an up-to-date registry of networks would promote a more coordinated approach to surveillance.

摘要

中低收入国家(LMICs)承担着全球传染病和耐药负担的大部分。我们搜索了在 LMICs 中进行抗菌药物耐药性(AMR)监测的超国家网络,并评估了它们的组织、方法、影响和挑战。自 2000 年以来,已经创建了 72 个针对细菌、真菌、HIV、TB 和疟疾的 AMR 监测跨国网络,其中包括 LMICs,其中 34 个正在进行中。网络的中位数(范围)持续时间为 6 年(1-70),纳入的 LMICs 数量为 8(1-67)。网络分为世界卫生组织/政府(n=26)、学术(n=24)或制药公司发起(n=22)。资金来源各不相同,其中 30 个网络获得了公共或世界卫生组织的资金,25 个获得了企业资金,13 个获得了信托或基金会的资金,4 个获得了多个来源的资金。在 TB、疟疾和 HIV 耐药性监测方面领先的全球计划通过定期的主动监测工作或结合主动和被动方法在 LMICs 中收集数据。这些网络面临的最大挑战是在 LMICs 中实现高覆盖率并遵守建议的报告频率。在 LMICs 中获得高质量、有代表性的监测数据具有挑战性。抗生素耐药性监测需要一定水平的实验室基础设施和培训,而这在 LMICs 中并不广泛。新生的全球抗菌药物耐药性监测系统(GLASS)旨在建立所有成员国的被动监测。过去的经验表明,如果要获得有代表性、临床相关且有意义的数据,则在许多 LMICs 中可能需要互补的主动方法。维护网络的最新注册表将促进更协调的监测方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e67e/6005144/bedece55b23f/dky026f1.jpg

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