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一种基于实验室的全院范围医院感染电子标志物:感染控制监测的未来?

A laboratory-based, hospital-wide, electronic marker for nosocomial infection: the future of infection control surveillance?

作者信息

Brossette Stephen E, Hacek Donna M, Gavin Patrick J, Kamdar Maitry A, Gadbois Kyle D, Fisher Adrienne G, Peterson Lance R

机构信息

MedMined, Birmingham, AL, USA.

出版信息

Am J Clin Pathol. 2006 Jan;125(1):34-9.

Abstract

Faced with expectations to improve patient safety and contain costs, the US health care system is under increasing pressure to comprehensively and objectively account for nosocomial infections. Widely accepted nosocomial infection surveillance methods, however, are limited in scope, not sensitive, and applied inconsistently. In 907 inpatient admissions to Evanston Northwestern Healthcare hospitals (Evanston, IL), nosocomial infection identification by the Nosocomial Infection Marker (MedMined, Birmingham, AL), an electronic, laboratory-based marker, was compared with hospital-wide nosocomial infection detection by medical records review and established nosocomial infection detection methods. The sensitivity and specificity of marker analysis were 0.86 (95% confidence interval [CI 95], 0.76-0.96) and 0.984 (CI 95, 0.976, 0.992). Marker analysis also identified 11 intensive care unit-associated nosocomial infections (sensitivity, 1.0; specificity, 0.986). Nosocomial Infection Marker analysis had a comparable sensitivity (P > .3) to and lower specificity (P < .001) than medical records review. It is important to note that marker analysis statistically outperformed widely accepted surveillance methods, including hospital-wide detection by Study on the Efficacy of Nosocomial Infection Control chart review and intensive care unit detection by National Nosocomial Infections Surveillance techniques.

摘要

面对改善患者安全和控制成本的期望,美国医疗保健系统在全面、客观地统计医院感染情况方面面临着越来越大的压力。然而,广泛接受的医院感染监测方法在范围上有限,不敏感,且应用不一致。在伊利诺伊州埃文斯顿西北医疗保健医院的907例住院患者中,将基于实验室的电子医院感染标志物(MedMined,阿拉巴马州伯明翰)识别医院感染的情况,与通过病历审查进行的全院医院感染检测以及既定的医院感染检测方法进行了比较。标志物分析的敏感性和特异性分别为0.86(95%置信区间[CI 95],0.76 - 0.96)和0.984(CI 95,0.976,0.992)。标志物分析还识别出11例与重症监护病房相关的医院感染(敏感性为1.0;特异性为0.986)。与病历审查相比,医院感染标志物分析的敏感性相当(P > 0.3),但特异性较低(P < 0.001)。需要注意的是,在统计学上,标志物分析的表现优于广泛接受的监测方法,包括通过医院感染控制研究图表审查进行的全院检测以及通过国家医院感染监测技术进行的重症监护病房检测。

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