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通过对阳性培养率进行计算机分析来监测医院感染。

Surveillance of nosocomial infections by computer analysis of positive culture rates.

作者信息

Schifman R B, Palmer R A

出版信息

J Clin Microbiol. 1985 Apr;21(4):493-5. doi: 10.1128/jcm.21.4.493-495.1985.

DOI:10.1128/jcm.21.4.493-495.1985
PMID:3988895
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC271703/
Abstract

We describe a surveillance method that identifies excessive rates of positive cultures based on patient location, culture site, and organism identification. During a 6-month period, this surveillance method, coupled with epidemiological investigations, identified 19 small clusters of cross-infections and three small outbreaks of intravenous catheter-related bacteremias. These infections were associated with apparent breakdowns in proper technique. Concurrent, standard surveillance activities identified only three of these problems. These results demonstrate that computer analysis of positive culture rates is a sensitive and time-efficient method for detecting potentially preventable nosocomial infections.

摘要

我们描述了一种监测方法,该方法基于患者位置、培养部位和微生物鉴定来识别阳性培养率过高的情况。在6个月的时间里,这种监测方法与流行病学调查相结合,识别出19个交叉感染的小集群和3起与静脉导管相关的菌血症小暴发。这些感染与适当技术的明显失误有关。同时进行的标准监测活动仅发现了其中3个问题。这些结果表明,对阳性培养率进行计算机分析是一种检测潜在可预防医院感染的灵敏且高效的方法。

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本文引用的文献

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