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本文引用的文献

1
Methodology for laboratory-based antimicrobial resistance surveillance in animals.动物源性抗菌药物耐药性实验室监测方法学。
Vet World. 2022 Apr;15(4):1066-1079. doi: 10.14202/vetworld.2022.1066-1079. Epub 2022 Apr 25.
2
Antimicrobial Susceptibility Testing: A Comprehensive Review of Currently Used Methods.抗菌药物敏感性试验：当前使用方法的全面综述
Antibiotics (Basel). 2022 Mar 23;11(4):427. doi: 10.3390/antibiotics11040427.
3
Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis.2019 年全球细菌对抗菌药物耐药性的负担：系统分析。
Lancet. 2022 Feb 12;399(10325):629-655. doi: 10.1016/S0140-6736(21)02724-0. Epub 2022 Jan 19.
4
Antimicrobial Resistance and Environmental Health: A Water Stewardship Framework for Global and National Action.抗菌耐药性与环境卫生：全球和国家行动的水资源管理框架
Antibiotics (Basel). 2022 Jan 5;11(1):63. doi: 10.3390/antibiotics11010063.
5
Third joint inter-agency report on integrated analysis of consumption of antimicrobial agents and occurrence of antimicrobial resistance in bacteria from humans and food-producing animals in the EU/EEA: JIACRA III 2016-2018.欧盟/欧洲经济区关于人类和食用动物抗菌药物消费及细菌中抗菌药物耐药性发生情况综合分析的第三次机构间联合报告：JIACRA III 2016 - 2018年
EFSA J. 2021 Jun 30;19(6):e06712. doi: 10.2903/j.efsa.2021.6712. eCollection 2021 Jun.
6
Linking antimicrobial resistance surveillance to antibiotic policy in healthcare settings: the COMBACTE-Magnet EPI-Net COACH project.将抗菌药物耐药性监测与医疗机构中的抗生素政策联系起来：COMBACTE-Magnet EPI-Net COACH 项目。
J Antimicrob Chemother. 2020 Dec 6;75(Suppl 2):ii2-ii19. doi: 10.1093/jac/dkaa425.
7
White Paper: Bridging the gap between surveillance data and antimicrobial stewardship in the animal sector-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks.白皮书：弥合动物领域监测数据与抗菌药物管理之间的差距——JPIAMR ARCH 和 COMBACTE-MAGNET EPI-Net 网络的实践指南。
J Antimicrob Chemother. 2020 Dec 6;75(Suppl 2):ii52-ii66. doi: 10.1093/jac/dkaa429.
8
White Paper: Bridging the gap between surveillance data and antimicrobial stewardship in long-term care facilities-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks.白皮书：弥合长期护理机构监测数据与抗菌药物管理之间的差距——JPIAMR ARCH 和 COMBACTE-MAGNET EPI-Net 网络的实用指南。
J Antimicrob Chemother. 2020 Dec 6;75(Suppl 2):ii33-ii41. doi: 10.1093/jac/dkaa427.
9
White Paper: Bridging the gap between human and animal surveillance data, antibiotic policy and stewardship in the hospital sector-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks.白皮书：弥合人类和动物监测数据、医院部门抗生素政策和管理之间的差距 - JPIAMR ARCH 和 COMBACTE-MAGNET EPI-Net 网络的实用指南。
J Antimicrob Chemother. 2020 Dec 6;75(Suppl 2):ii20-ii32. doi: 10.1093/jac/dkaa426.
10
White Paper: Bridging the gap between surveillance data and antimicrobial stewardship in the outpatient sector-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks.白皮书：弥合监测数据与门诊部门抗菌药物管理之间的差距——JPIAMR ARCH 和 COMBACTE-MAGNET EPI-Net 网络的实践指南。
J Antimicrob Chemother. 2020 Dec 6;75(Suppl 2):ii42-ii51. doi: 10.1093/jac/dkaa428.

《EPI-Net 一体化健康抗菌药物使用与耐药性监测数据报告指南：德尔菲法》

EPI-Net One Health reporting guideline for antimicrobial consumption and resistance surveillance data: a Delphi approach.

作者信息

Babu Rajendran Nithya, Arieti Fabiana, Mena-Benítez Carla Alejandra, Galia Liliana, Tebon Maela, Alvarez Julio, Gladstone Beryl Primrose, Collineau Lucie, De Angelis Giulia, Duro Raquel, Gaze William, Göpel Siri, Kanj Souha S, Käsbohrer Annemarie, Limmathurotsakul Direk, Lopez de Abechuco Estibaliz, Mazzolini Elena, Mutters Nico T, Pezzani Maria Diletta, Presterl Elisabeth, Renk Hanna, Rodríguez-Baño Jesús, Săndulescu Oana, Scali Federico, Skov Robert, Velavan Thirumalaisamy P, Vuong Cuong, Tacconelli Evelina

机构信息

Infectious Diseases, Department of Internal Medicine I, University Hospital Tübingen, Tübingen, Germany.

Infectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.

出版信息

Lancet Reg Health Eur. 2022 Dec 22;26:100563. doi: 10.1016/j.lanepe.2022.100563. eCollection 2023 Mar.

DOI:10.1016/j.lanepe.2022.100563
PMID:36895445
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9989632/
Abstract

Strategic and standardised approaches to analysis and reporting of surveillance data are essential to inform antimicrobial resistance (AMR) mitigation measures, including antibiotic policies. Targeted guidance on linking full-scale AMR and antimicrobial consumption (AMC)/antimicrobial residues (AR) surveillance data from the human, animal, and environmental sectors is currently needed. This paper describes the initiative whereby a multidisciplinary panel of experts (56 from 20 countries-52 high income, 4 upper middle or lower income), representing all three sectors, elaborated proposals for structuring and reporting full-scale AMR and AMC/AR surveillance data across the three sectors. An evidence-supported, modified Delphi approach was adopted to reach consensus among the experts for dissemination frequency, language, and overall structure of reporting; core elements and metrics for AMC/AR data; core elements and metrics for AMR data. The recommendations can support multisectoral national and regional plans on antimicrobials policy to reduce resistance rates applying a One Health approach.

摘要

监测数据的分析和报告采用战略和标准化方法对于为抗菌药物耐药性（AMR）缓解措施提供信息至关重要，这些措施包括抗生素政策。目前需要有针对性的指导，以将来自人类、动物和环境领域的全面AMR与抗菌药物消费（AMC）/抗菌药物残留（AR）监测数据联系起来。本文介绍了一项倡议，即一个由代表所有三个领域的多学科专家小组（来自20个国家的56名专家——52名高收入国家专家、4名中高收入或低收入国家专家）拟定了关于构建和报告三个领域全面AMR及AMC/AR监测数据的提案。采用了一种有证据支持的改良德尔菲方法，以使专家们就报告的传播频率、语言和总体结构；AMC/AR数据的核心要素和指标；AMR数据的核心要素和指标达成共识。这些建议可以支持多部门国家和区域抗菌药物政策计划，以采用“同一个健康”方法降低耐药率。