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Predicting vancomycin MIC in methicillin-resistant Staphylococcus aureus bloodstream infection.

机译:预测耐甲氧西林金黄色葡萄球菌血液感染中的万古霉素MIC。

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摘要

Introduction. Increased mortality, treatment failure, and hospital lengths of stay have been reported in patients treated with vancomycin for MRSA bacteremia when their isolates have "high normal" MICs (>1). The ability to discriminate patients infected with these strains could allow decisions to consider alternative treatments.;Method. This cohort study was conducted at a tertiary care hospital and its affiliated acute rehabilitation facility. Patients with MRSA bacteremia were prospectively identified and data were collected during the period of 2001-2007. Factors were examined for their association with high vancomycin MIC and a predictive model was created.;Results. There were 295 MRSA bacteremic events among 271 patients that met inclusion criteria during the study period. Fifty-seven events (19%) had isolates that were found to have the outcome of high MIC (>1) to vancomycin. Variables found to be significantly associated with high vancomycin MIC in the univariate analysis included older age, prior vancomycin or daptomycin exposure, the presence of a non-tunneled central venous catheter or prosthetic heart valve, higher APACHE II score, a history of prior MRSA bacteremia, and the presence of sepsis or shock at the time of culture. A multivariable logistic regression model (c=0.74) was built and then candidate variables were chosen and assigned points based upon their coefficients in the model. Age>50 (3 points), prior vancomycin exposure (2 points), history of MRSA bacteremia (2 points), history of chronic liver disease (2 points), and presence of a non-tunneled central venous catheter (1 point) were included in the final model. The sum score of these points was determined for each bacteremic event and these scores performed with similar predictive ability to the original logistic regression model from which the point scores were derived (c=0.73).;Conclusion. Patients with elevated vancomycin MIC values may benefit from alternative therapy. There may be factors that can help predict which patients are likely to be infected with MRSA isolates that have elevated MICs to vancomycin.
机译:介绍。当万古霉素的分离株具有“高正常” MIC(> 1)时,已经报道了接受万古霉素治疗的MRSA菌血症患者的死亡率,治疗失败和住院时间的增加。区分感染了这些菌株的患者的能力可以允许决策者考虑其他治疗方法。这项队列研究是在三级医院及其附属的急性康复机构进行的。前瞻性鉴定了患有MRSA菌血症的患者,并在2001-2007年期间收集了数据。检查这些因素与万古霉素MIC的相关性,并建立预测模型。在研究期间,符合纳入标准的271例患者中有295例MRSA细菌事件。五十七次事件(占19%)的分离株被发现对万古霉素的MIC高(> 1)。在单变量分析中发现与高万霉素MIC显着相关的变量包括年龄,万古霉素或达托霉素的使用前暴露,无隧道中心静脉导管或人工心脏瓣膜的存在,较高的APACHE II评分,既往有MRSA细菌血症的病史,以及培养时出现败血症或休克的情况。建立了多元逻辑回归模型(c = 0.74),然后选择候选变量并根据模型中的系数分配点。年龄> 50岁(3分),既往万古霉素暴露(2分),MRSA菌血症史(2分),慢性肝病史(2分)和无隧道中央静脉导管的存在(1分)包含在最终模型中。确定每个细菌事件的这些分数的总和,并且这些分数的执行能力与原始Logistic回归模型具有相似的预测能力,由此得出分数(c = 0.73)。万古霉素MIC值升高的患者可能会从替代治疗中受益。可能有一些因素可以帮助预测哪些患者可能被MIC升高至万古霉素的MRSA分离株感染。

著录项

  • 作者

    Lubin, Andrew.;

  • 作者单位

    Sackler School of Graduate Biomedical Sciences (Tufts University).;

  • 授予单位 Sackler School of Graduate Biomedical Sciences (Tufts University).;
  • 学科 Biology Microbiology.;Health Sciences Medicine and Surgery.;Health Sciences Pharmacy.
  • 学位 M.S.
  • 年度 2010
  • 页码 26 p.
  • 总页数 26
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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