抗菌管理
生物
抗生素耐药性
范围(计算机科学)
抗菌剂
微生物学
心理干预
风险分析(工程)
计算生物学
抗生素
遗传学
计算机科学
医学
精神科
程序设计语言
作者
Alex van Belkum,Carey‐Ann D. Burnham,John W. A. Rossen,Frédéric Mallard,Olivier Rochas,William M. Dunne
标识
DOI:10.1038/s41579-020-0327-x
摘要
Antimicrobial resistance (AMR) is a major threat to human health worldwide, and the rapid detection and quantification of resistance, combined with antimicrobial stewardship, are key interventions to combat the spread and emergence of AMR. Antimicrobial susceptibility testing (AST) systems are the collective set of diagnostic processes that facilitate the phenotypic and genotypic assessment of AMR and antibiotic susceptibility. Over the past 30 years, only a few high-throughput AST methods have been developed and widely implemented. By contrast, several studies have established proof of principle for various innovative AST methods, including both molecular-based and genome-based methods, which await clinical trials and regulatory review. In this Review, we discuss the current state of AST systems in the broadest technical, translational and implementation-related scope. In this Review, van Belkum and colleagues discuss routinely used antimicrobial susceptibility testing (AST) methods, explore current efforts to improve phenotypic AST systems — including new emerging technologies as well as genomic and gene-based antimicrobial resistance detection methods — and highlight the challenges and opportunities for new rapid AST systems.
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