通过自动化测试系统测试肠道细菌和非发酵物的虚假氨基糖化物耐药性:一项描述性研究
P M C Klein Klouwenberg1, W Altorf-van der Kuil2, A J van Griethuysen3
1Department of pharmacy, Fundashon Mariadal , Kralendijk, Bonaire, the Netherlands.
Microbiology spectrum
|January 9, 2024
概括
像Phoenix这样的自动化抗微生物敏感性测试系统可能会高估肠道细菌和非发酵剂的耐药性,这可能会影响败血症治疗. 还注意到抗药性每年增加,强调需要准确的抗菌素敏感性数据.
科学领域:
- 临床微生物学 临床微生物学
- 抗微生物药物耐药性的监测监测
背景情况:
- 准确的抗微生物敏感性数据对于有效的患者治疗至关重要.
- 像VITEK2和Phoenix这样的自动化系统是临床微生物学实验室常规测试的标准.
- 抗菌素耐药性监测系统为耐药性趋势提供了宝贵的见解.
研究的目的:
- 评估星系统在肠杆菌和非发酵物中测量氨基糖化物最小抑制度 (MIC) 的准确性.
- 通过国家监测系统的数据评估抗菌素耐药性的年度趋势.
- 确定测试差异对临床实践的潜在影响,特别是在败血症管理中.
主要方法:
- 来自荷兰抗菌素耐药性监测系统的6年数据集的分析.
- 使用Phoenix系统对氨基糖化物与肠杆菌和非发酵物的测量MIC进行比较.
- 对各种细菌物种每年耐药性趋势的评估.
主要成果:
- 城系统始终测量出高于预期的氨基糖化物MIC,用于肠杆菌和非发酵物.
- 在使用Phoenix系统进行测试时,观察到几种细菌物种的耐药性每年显著增加.
- 这些差异可能导致不适当的抗微生物治疗选择.
结论:
- 城自动化测试系统在准确确定特定细菌群的氨基糖化物敏感性方面可能存在局限性.
- 观察到的耐药性趋势需要仔细解释自动化易感性数据.
- 抗微生物敏感性测试中的潜在不准确性可能会危及患者的结果,特别是在严重的感染中,如败血症.
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