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计算机辅助决策支持在严重脓毒症和脓毒性休克治疗实践改变中的应用

Computer-assisted decision support for changing practice in severe sepsis and septic shock.

作者信息

Tafelski S, Nachtigall I, Deja M, Tamarkin A, Trefzer T, Halle E, Wernecke K D, Spies C

机构信息

Department of Anaesthesiology and Intensive Care, Charité-Universitaetsmedizin Berlin, Berlin, Germany.

出版信息

J Int Med Res. 2010 Sep-Oct;38(5):1605-16. doi: 10.1177/147323001003800505.

DOI:10.1177/147323001003800505
PMID:21309474
Abstract

Computer-assisted decision support systems (CDSS) are designed to improve infection management. The aim of this prospective, clinical pre- and post-intervention study was to investigate the influence of CDSS on infection management of severe sepsis and septic shock in intensive care units (ICUs). Data were collected for a total of 180 days during two study periods in 2006 and 2007. Of the 186 patients with severe sepsis or septic shock, 62 were stratified into a low adherence to infection management standards group (LAG) and 124 were stratified into a high adherence group (HAG). ICU mortality was significantly increased in LAG versus HAG patients (Kaplan-Meier analysis). Following CDSS implementation, adherence to standards increased significantly by 35%, paralleled with improved diagnostics, more antibiotic-free days and a shortened time until antibiotics were administered. In conclusion, adherence to infection standards is beneficial for patients with severe sepsis or septic shock and CDSS is a useful tool to aid adherence.

摘要

计算机辅助决策支持系统(CDSS)旨在改善感染管理。这项前瞻性临床干预前后研究的目的是调查CDSS对重症监护病房(ICU)中严重脓毒症和感染性休克感染管理的影响。在2006年和2007年的两个研究期间共收集了180天的数据。在186例严重脓毒症或感染性休克患者中,62例被分层到感染管理标准低依从性组(LAG),124例被分层到高依从性组(HAG)。LAG组患者的ICU死亡率显著高于HAG组患者(Kaplan-Meier分析)。实施CDSS后,标准依从性显著提高了35%,同时诊断得到改善,无抗生素使用天数增加,抗生素给药时间缩短。总之,遵守感染标准对严重脓毒症或感染性休克患者有益,CDSS是帮助遵守标准的有用工具。

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