Healthcare Associated Infections in the Neonatal Intensive Care Unit of the “Federico II” University Hospital: Statistical Analysis and Study of Risk Factors

E. Montella, R. Alfano, A. Sacco, Carlo Bernardo, Ilaria Ribera, M. Triassi, A. M. Ponsiglione
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引用次数: 3

Abstract

Healthcare-associated infections (HAIs) are a common complication among hospitalized patients and an important cause of mortality and morbidity in Neonatal Intensive Care Unit (NICU). New technologies have significantly improved the neonatal survival rate, while causing an increase in the spread of infections. Contracting HAIs means an increase in hospital days, specific drug therapy and greater care that translate into increased costs. Understanding the main risk factors in neonates can help prevent their spread. In this study conducted at the NICU of the “Federico II” University Hospital of Naples in 2019, statistical analysis and logistic regression were used to analyze the association between blood-stream HAIs (BSIs) and the available risk factors. The analysis showed that birthweight and central line catheterization days are significant predictors of suffering from BSIs.
“费德里科二世”大学医院新生儿重症监护病房的卫生保健相关感染:危险因素的统计分析和研究
医疗保健相关感染(HAIs)是住院患者中常见的并发症,也是新生儿重症监护病房(NICU)死亡率和发病率的重要原因。新技术大大提高了新生儿存活率,同时也增加了感染的传播。签订卫生保健服务合同意味着住院天数的增加、特定药物治疗和更优质的护理,这些都转化为成本的增加。了解新生儿的主要危险因素有助于防止其传播。本研究于2019年在那不勒斯“费德里科二世”大学医院NICU进行,采用统计分析和logistic回归分析血流HAIs (bsi)与可用危险因素之间的关系。分析表明,出生体重和中线置管天数是患bsi的重要预测因素。
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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