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一项临床决策规则确定了急诊科与耐抗菌药物尿路病原体相关的风险因素:一项回顾性验证研究。

A clinical decision rule identifies risk factors associated with antimicrobial-resistant urinary pathogens in the emergency department: a retrospective validation study.

作者信息

Faine Brett A, Harland Kari K, Porter Blake, Liang Stephen Y, Mohr Nicholas

机构信息

University of Iowa Hospitals and Clinics, Iowa City, IA, USA

University of Iowa Hospitals and Clinics, Iowa City, IA, USA.

出版信息

Ann Pharmacother. 2015 Jun;49(6):649-55. doi: 10.1177/1060028015578259. Epub 2015 Mar 20.

Abstract

BACKGROUND

Identifying patients at high risk for multidrug-resistant urinary tract infections (UTIs) is important for guiding empirical antimicrobial therapy. Clinical risk factors associated with antimicrobial-resistant urinary pathogens and the derivation of a simple clinical decision rule could help define health care-associated UTI.

OBJECTIVE

To derive a simple clinical decision rule to identify clinical risk factors associated with antimicrobial-resistant urinary pathogens.

METHODS

This was a retrospective case-control study of all emergency department (ED) patients from July 1, 2011, to July 1, 2012, who presented to the ED with UTI and a positive urine culture. Candidate risk factors were collected retrospectively from medical record review. We compared differences in patient characteristics stratified by the presence of an antimicrobial-resistant urinary pathogen.

RESULTS

A total of 360 patients with UTI had a positive, noncontaminated urine culture during the study period. About 6.7% of patients (n = 24) had a multidrug-resistant (MDR) urinary infection. Logistic regression modeling identified 3 clinical factors associated with the identification of a MDR pathogen: male sex, chronic hemodialysis, and nursing home residence. A scoring system was created to identify patients with MDR pathogens. Test characteristics were calculated using bootstrapping for internal validation, with a sensitivity of 74.7% (95% CI = 55.1%-91.3%) and specificity of 85.1% (95% CI = 77.8%-86.2%), positive likelihood ratio of 4.3, and a negative likelihood ratio of 0.3.

CONCLUSIONS

Clinical factors can be used to identify UTI patients at high risk of MDR urinary pathogens.

摘要

背景

识别多重耐药性尿路感染(UTI)的高危患者对于指导经验性抗菌治疗至关重要。与抗菌药物耐药性尿路病原体相关的临床风险因素以及简单临床决策规则的推导有助于界定医疗保健相关的UTI。

目的

推导一个简单的临床决策规则以识别与抗菌药物耐药性尿路病原体相关的临床风险因素。

方法

这是一项回顾性病例对照研究,研究对象为2011年7月1日至2012年7月1日期间因UTI就诊于急诊科且尿培养呈阳性的所有急诊科患者。候选风险因素通过病历回顾进行回顾性收集。我们比较了根据抗菌药物耐药性尿路病原体的存在情况分层的患者特征差异。

结果

在研究期间,共有360例UTI患者尿培养呈阳性且无污染。约6.7%的患者(n = 24)患有多重耐药(MDR)性尿路感染。逻辑回归模型确定了与MDR病原体识别相关的3个临床因素:男性、慢性血液透析和养老院居住史。创建了一个评分系统以识别患有MDR病原体的患者。使用自抽样法进行内部验证计算检验特征,灵敏度为74.7%(95%CI = 55.1%-91.3%),特异度为85.1%(95%CI = 77.8%-86.2%),阳性似然比为4.3,阴性似然比为0.3。

结论

临床因素可用于识别MDR尿路病原体高危的UTI患者。

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