比较医疗保健机构中检测病原体相关集群的自动监控系统
Jean Xiang Ying Sim1,2, Susanne Pinto3, Maaike S M van Mourik3
1Department of Infectious Diseases, Singapore General Hospital, Singapore, Singapore. jean.sim.x.y@singhealth.com.sg.
Antimicrobial resistance and infection control
|June 26, 2024
概括
像CLAR和P75这样的自动化系统有效地检测病原体集群,但WHONET-SaTScan对零星病原体的提醒频率较低. 将这些医院监测方法进行比较对于及时干预至关重要.
科学领域:
- 医院流行病学 医院流行病学
- 传染病监测 传染病监测 传染病监测 传染病监测
- 微生物学 微生物学
背景情况:
- 在医院早期检测病原体集群对于预防传播至关重要.
- 使用自动监控方法,但由于数据和方法的变化,直接比较具有挑战性.
- 本研究评估了在医院环境中识别微生物群的三个不同的方法.
研究的目的:
- 评估和比较三个自动集群检测方法的性能:WHONET-SaTScan,CLAR (集群 AleRt系统) 和基于百分位数的系统 (P75).
- 在各种病原体发生模式中评估这些方法,包括新的引入,特有物种,不断上升的特有水平和零星发生.
主要方法:
- 一个回顾性队列研究,利用来自第三级护理医院的数据 (2014年1月 - 2021年12月).
- 将WHONET-SaTScan,CLAR和P75系统应用于同一个精选的数据集.
- 对不同类型的病原体进行方法性能分析:新引入,特有和零星.
主要成果:
- 这三种方法都显示出对特有生物的一致性.
- 与CLAR (n=319) 和P75 (n=472) 相比,WHONET-SaTScan产生的警报数量显著减少 (n=9).
- CLAR和P75系统在对特有和零星病原体的警报中表现一致,在检测较小变异方面表现优于WHONET-SaTScan.
结论:
- 基于统计的自动化系统 (CLAR,WHONET-SaTScan) 与基于规则的系统 (P75) 相似,主要用于特有病原体.
- 与基于规则的系统相比,WHONET-SaTScan对零星病原体的报警频率较低.
- 需要进一步研究这些集群检测系统的临床相关性,及时性和实施.
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