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[2005年至2011年住院患者的医院感染。塔尔努夫圣卢卡斯区医院]

[Nosocomial infection in patients hospitalized in 2005-2011. the St. Lukas District Hospital in Tarnów].

作者信息

Wałaszek Marta, Wolak Zdzisław, Dobroś Wiesław

机构信息

Szpital Wojewódzki im. Sw. Łukasza w Tarnowie.

出版信息

Przegl Epidemiol. 2012;66(4):617-21.

Abstract

OBJECTIVE

To evaluate the occurrence and the structure of nosocomial infections in hospitalized patients, and also to indicate the possibility of lowering the infection rates in the St. Lukas District Hospital in Tarnow.

MATERIAL AND METHODS

Data from 207 673 patients hospitalized in the years 2005-2011 have been collected and analyzed using standard statistical tools and definitions of nosocomial infections, issued by the U.S. Centers for Disease Control and Prevention (CDC).

RESULTS

The surgical side infections (SSI) were proved to be the most commonly found, with 20% of all infections. There were also frequent bloodstream infections (BSI) 19%, as well as urinary tract (UTI) and gastrointestinal infections (IPP) 18%, while pneumonia (PNEU) appeared to be slightly less common, with 13% of all infections. The other types of infections represented 11%. The infection rates for clean surgical sites per 100 clean procedures were on average 0.7. Subsequently, average amounts per 1000 person-days were as follows: 16.7 for pneumonia (VAP, ventilator-associated pneumonia), 2.4 for catheter-related urinary tract infections (UTI), and 6.2 for bloodstream infections (CLA-BSI, central line-associated).

CONCLUSIONS

Knowing the structure of infections is crucial for planning precise and cautious actions aimed at reducing the frequency of nosocomial infections.

摘要

目的

评估住院患者医院感染的发生率及构成,并指出降低塔尔努夫圣卢卡斯地区医院感染率的可能性。

材料与方法

收集了2005年至2011年期间207673例住院患者的数据,并使用美国疾病控制与预防中心(CDC)发布的医院感染标准统计工具和定义进行分析。

结果

手术部位感染(SSI)被证明是最常见的,占所有感染的20%。血流感染(BSI)也较为常见,占19%,还有尿路感染(UTI)和胃肠道感染(IPP)占18%,而肺炎(PNEU)似乎稍少见,占所有感染的13%。其他类型的感染占11%。每100例清洁手术的清洁手术部位感染率平均为0.7。随后,每1000人日的平均感染量如下:肺炎(VAP,呼吸机相关性肺炎)为16.7,导管相关尿路感染(UTI)为2.4,血流感染(CLA-BSI,中心静脉导管相关)为6.2。

结论

了解感染构成对于规划旨在降低医院感染发生率的精确且谨慎的行动至关重要。

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