在COVID-19大流行肆虐期间,追踪一家三级医疗医院的年度抗菌素耐药性

Sonali Saxena, P. Aggarwal
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引用次数: 0

摘要

背景:及时准备和提交年度累积抗生素图在向临床医生传播最新的敏感性模式方面发挥着重要作用,从而有助于在经验治疗中适当选择抗菌素,同时最大限度地减少不良反应和耐药性。该研究旨在提供和分析年度AMR数据,这可能有助于制定抗生素政策。方法:收集2021年1 - 12月常规提交微生物科进行细菌培养和药敏试验(AST)的临床标本。采用圆盘扩散/琼脂稀释/肉汤微量稀释法/VITEK®2紧凑系统对病原菌进行AST检测。使用WHONET 2020软件输入并分析所有数据。结果:共处理常规标本46629份,分离非重复细菌5792株。在医院专门为COVID-19患者提供服务的头几个月,收到的标本相对较少。最常见的分离细菌是大肠杆菌(30%)、金黄色葡萄球菌(21%)、克雷伯氏菌(18%)、假单胞菌(10%)、不动杆菌(8%)和肠球菌(5%)。革兰氏阴性菌对第三代头孢菌素、氟喹诺酮类药物和复方新诺明的敏感性较低。对碳青霉烯敏感的不动杆菌不到50%。我们报道金黄色葡萄球菌耐甲氧西林率高(74%)。ICU患者的总体易感性要低得多,其次是住院患者和门诊患者。结论:抗菌素耐药性正在迅速达到大流行的程度,一些作者称其为“看不见的”大流行。从目前的研究中可以明显看出,除了少数最后手段的药物外,对所有药物的敏感性都很低,因此治疗的选择很少。这要求有效地准备、分发和提交年度抗生素图,这将有助于制定医院的抗生素政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tracking Annual Antimicrobial Resistance at a Tertiary Care Hospital amidst Raging COVID-19 Pandemic
Background: Timely preparation and presentation of the annual cumulative antibiogram play an important role in the dissemination of an updated susceptibility pattern to clinicians and thus aid in the appropriate choice of antimicrobials for empirical therapy while minimizing adverse effects and resistance. The study aimed to present and analyze the annual AMR data that may be helpful in designing antibiotic policy. Methods: All clinical specimens routinely submitted to the Department of Microbiology from January to December 2021 for bacteriological culture and antimicrobial susceptibility testing (AST) were included. AST was performed for pathogenic isolates by disc diffusion/agar dilution/broth microdilution methods/VITEK® 2 compact system. All data were entered and analyzed using WHONET 2020 software. Results: A total of 46,629 routine specimens were processed, yielding 5792 non-repeat bacterial isolates. Relatively fewer specimens were received during the first few months when the hospital catered exclusively to COVID-19 patients. The most common bacterial isolates were Escherichia coli (30%), Staphylococcus aureus (21%), Klebsiella sp. (18%), Pseudomonas sp. (10%), Acinetobacter sp. (8%) and Enterococcus sp. (5%). Analysis showed low susceptibility to 3rd generation cephalosporins, fluroquinolones, and cotrimoxazole among Gram negative bacteria. Less than 50% Acinetobacter sp. were carbapenem susceptible. We report high rate of methicillin resistance in S. aureus (74%). Overall susceptibility was much lower in specimens from ICU followed by in-patients and out-patients. Conclusion: Antimicrobial resistance is rapidly assuming the proportions of a pandemic, with several authors calling it “invisible” pandemic. As is evident from the present study, low susceptibilities to all but a few last-resort drugs are leaving few choices for treatment. This mandates effective preparation, distribution, and presentation of annual antibiograms, which will help in formulating hospital antibiotic policy.
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