血流分离物中产β-内酰胺酶肠杆菌科广谱菌的临床风险评分预测

M. Augustine, T. Testerman, J. Justo, P. Bookstaver, J. Kohn, H. Albrecht, M. Al-Hasan
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引用次数: 68

摘要

目的建立一种预测广谱产β-内酰胺酶肠杆菌科(ESBLE)血流感染(bsi)概率的风险评分方法。设计回顾性病例对照研究。两家大型社区医院。2010年1月1日至2015年6月30日期间因肠杆菌科BSI住院的成年人。方法采用多因素logistic回归分析ESBLE BSI的独立危险因素。扩展谱β-内酰胺酶预测评分(ESBL-PS)的分点分配基于回归系数。结果910例肠杆菌科BSI患者中,42例(4.6%)血液分离出ESBLE。大多数ESBLE bsi为社区发病(42例中有33例;79%), 25例(60%)为大肠杆菌所致。ESBLE BSI和ESBL-PS中点数分配的独立危险因素包括1个月内的门诊手术(调整优势比[aOR], 8.7;95%置信区间[CI], 3.1-22.9;1分),既往感染或12个月内ESBLE定植(aOR, 26.8;95% ci, 7.0-108.2;4分),以及BSI后3个月内使用β-内酰胺类药物和/或氟喹诺酮类药物的疗程数:1个疗程(aOR为6.3;95% ci, 2.7-14.7;1分),≥2个疗程(aOR 22.0;95% ci, 8.6-57.1;3点)。ESBL-PS模型受者工作特性曲线下面积为0.86。ESBL-PSs为0、1、3和4的患者的ESBLE BSI估计概率分别为0.7%、5%、24%和44%。以ESBL-PS≥3为高危,阴性预测值为97%。结论:ESBL-PS评估ESBLE BSI患者特异性风险具有高判别性。急性重症合并ESBL-PS可能提高经验性抗菌治疗的充分性,减少碳青霉烯类药物的使用。中国感染与控制杂志,2017;38 (1):391 - 391
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Clinical Risk Score for Prediction of Extended-Spectrum β-Lactamase–Producing Enterobacteriaceae in Bloodstream Isolates
OBJECTIVE To develop a risk score to predict probability of bloodstream infections (BSIs) due to extended-spectrum β-lactamase–producing Enterobacteriaceae (ESBLE). DESIGN Retrospective case-control study. SETTING Two large community hospitals. PATIENTS Hospitalized adults with Enterobacteriaceae BSI between January 1, 2010, and June 30, 2015. METHODS Multivariate logistic regression was used to identify independent risk factors for ESBLE BSI. Point allocation in extended-spectrum β-lactamase prediction score (ESBL-PS) was based on regression coefficients. RESULTS Among 910 patients with Enterobacteriaceae BSI, 42 (4.6%) had ESBLE bloodstream isolates. Most ESBLE BSIs were community onset (33 of 42; 79%), and 25 (60%) were due to Escherichia coli. Independent risk factors for ESBLE BSI and point allocation in ESBL-PS included outpatient procedures within 1 month (adjusted odds ratio [aOR], 8.7; 95% confidence interval [CI], 3.1–22.9; 1 point), prior infections or colonization with ESBLE within 12 months (aOR, 26.8; 95% CI, 7.0–108.2; 4 points), and number of prior courses of β-lactams and/or fluoroquinolones used within 3 months of BSI: 1 course (aOR, 6.3; 95% CI, 2.7–14.7; 1 point), ≥2 courses (aOR, 22.0; 95% CI, 8.6–57.1; 3 points). The area under the receiver operating characteristic curve for the ESBL-PS model was 0.86. Patients with ESBL-PSs of 0, 1, 3, and 4 had estimated probabilities of ESBLE BSI of 0.7%, 5%, 24%, and 44%, respectively. Using ESBL-PS ≥3 to indicate high risk provided a negative predictive value of 97%. CONCLUSIONS ESBL-PS estimated patient-specific risk of ESBLE BSI with high discrimination. Incorporation of ESBL-PS with acute severity of illness may improve adequacy of empirical antimicrobial therapy and reduce carbapenem utilization. Infect Control Hosp Epidemiol 2017;38:266–272
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