A Comprehensive Review of the Present and Future Antibiotic Susceptibility Testing (AST) Systems

S. Puttaswamy, Sagar K. Gupta, Hariharan Regunath, L. Smith, Shramik Sengupta
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引用次数: 42

Abstract

Tools and instruments available in the clinical microbiology labs for analysis of patient samples and diagnosis are constantly evolving. The main impetus behind this is to decrease the overall time taken to obtain the results from the instruments, enhance the ease of sample processing, increasing the sample turn-around time with the ultimate goal of earlier patient treatment and better recovery rates. This is especially true in the case of antibiotic susceptibility testing (AST), where every hour saved in obtaining the results leading to an earlier switch to targeted antibiotic therapy will have a direct influence on improving clinical outcomes. Reduction in the time to obtain AST results reduces the duration of use of broad-spectrum antibiotics, which in turn decreases the emergence of antibiotic resistance among bacteria. Many of the traditional methods available for AST are labor intensive and slow despite being precise in obtaining results. Thus, there is a trend towards development and use of automated diagnostic devices which are rapid and easy to use. This review article provides a detailed summary of traditional AST methods, currently used automated methods, and focuses on some of the promising emerging and future technologies in the field of rapid antibiotic susceptibility profiling.
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当前和未来抗生素药敏试验(AST)系统的综合综述
临床微生物实验室中用于分析患者样本和诊断的工具和仪器不断发展。这背后的主要推动力是减少从仪器获得结果所需的总时间,增强样品处理的便利性,增加样品周转时间,最终目标是早期患者治疗和更好的恢复率。在抗生素敏感性试验(AST)中尤其如此,在获得结果中节省的每一个小时都会导致更早地转向靶向抗生素治疗,这将对改善临床结果产生直接影响。获得AST结果的时间缩短缩短了使用广谱抗生素的时间,从而减少了细菌中抗生素耐药性的出现。许多用于AST的传统方法是劳动密集型的,尽管获得结果很精确,但速度很慢。因此,开发和使用快速且易于使用的自动诊断设备是一种趋势。本文对传统的AST方法和目前使用的自动化方法进行了详细的总结,并重点介绍了一些有前途的新兴技术和未来的快速抗生素药敏分析技术。
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