Survival analysis of carbapenemase-producing enterobacteriaceae infections in hospital patients

I. Clark, Antoine Rigaut, A. Mathers, Donald Brown, L. Barnes
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Abstract

The Centers for Disease Control and Prevention (CDC) estimate that more than two million people are sickened every year with antibiotic-resistant bacterial infections, and at least 23,000 die as a result of these infections in the U.S. alone. Carbapenem-resistant Enterobacteriaceae (CRE) are a particularly important subgroup with the ability to share genetic material, including the gene responsible for the production of carbapenemase enzyme. As a major threat to public health, CRE primarily affects sick patients in acute long-term health care facilities, such as Intensive Care Units. This study uses clinical data from a major U.S. hospital, as well as survival analysis methods to estimate time-to-colonization, patient risk of CRE colonization, and risk factors. A survival model was developed using Cox proportional-hazards regression to estimate time of infection. Additionally, we also used Kaplan-Meier estimation to approximate survival time. Our results support CDC's understanding of CRE infection. Sick patients with a history trauma and of staying in an ICU, which undergo certain procedures such as dialysis, fluoroscopy, respiratory intubation and mechanical ventilation, are more likely to get colonized by CRE. The fit was evaluated using the likelihood ratio test and we have found all our models to be significant.
产碳青霉烯酶肠杆菌科感染住院患者的生存分析
美国疾病控制与预防中心(CDC)估计,每年有超过200万人因抗生素耐药细菌感染而患病,仅在美国就至少有2.3万人死于这些感染。碳青霉烯抗性肠杆菌科(CRE)是一个特别重要的亚群,具有共享遗传物质的能力,包括负责产生碳青霉烯酶的基因。作为对公共卫生的主要威胁,CRE主要影响急性长期卫生保健设施(如重症监护病房)中的病人。本研究使用来自美国一家主要医院的临床数据,以及生存分析方法来估计CRE定植时间、患者定植风险和危险因素。采用Cox比例风险回归建立生存模型来估计感染时间。此外,我们还使用Kaplan-Meier估计来估计生存时间。我们的结果支持CDC对CRE感染的理解。有创伤史和住在ICU的病人,接受透析、透视、呼吸插管和机械通气等某些程序,更有可能被CRE占领。使用似然比检验对拟合进行了评估,我们发现所有模型都是显著的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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