Columbia University School of Nursing, New York, New York, USA.
Infect Control Hosp Epidemiol. 2012 Dec;33(12):1213-8. doi: 10.1086/668422. Epub 2012 Oct 19.
We conducted a retrospective cohort study to examine the role played by length of hospital stay in the risk of healthcare-associated bloodstream infection (BSI), independent of demographic and clinical risk factors for BSI.
We employed data from 113,893 admissions from inpatients discharged between 2006 and 2008.
Large tertiary healthcare center in New York City.
We estimated the crude and adjusted hazard of BSI by conducting logistic regression using a person-day data structure. The covariates included in the fully adjusted model included age, sex, Charlson score of comorbidity, renal failure, and malignancy as static variables and central venous catheterization, mechanical ventilation, and intensive care unit stay as time-varying variables.
In the crude model, we observed a nonlinear increasing hazard of BSI with increasing hospital stay. This trend was reduced to a constant hazard when fully adjusted for demographic and clinical risk factors for BSI.
The association between longer length of hospital stay and increased risk of infection can largely be explained by the increased duration of stay among those who have underlying morbidity and require invasive procedures. We should take caution in attributing the association between length of stay and BSI to a direct negative impact of the healthcare environment.
我们进行了一项回顾性队列研究,以检验住院时间长短在与医疗保健相关的血流感染(BSI)风险中的作用,这与 BSI 的人口统计学和临床危险因素无关。
我们使用了 2006 年至 2008 年期间出院的 113893 名住院患者的数据。
纽约市的一家大型三级医疗中心。
我们使用个体日数据结构进行逻辑回归,估计 BSI 的粗和调整后的危险。完全调整后的模型中的协变量包括年龄、性别、合并症的 Charlson 评分、肾衰竭和恶性肿瘤作为静态变量,以及中心静脉导管插入术、机械通气和重症监护病房停留作为时间变化变量。
在粗模型中,我们观察到 BSI 的风险随着住院时间的延长呈非线性增加。当完全调整 BSI 的人口统计学和临床危险因素时,这种趋势减少到一个恒定的危险。
较长的住院时间与感染风险增加之间的关联可以在很大程度上解释为那些患有潜在疾病并需要侵入性程序的患者的住院时间延长。我们在将住院时间与 BSI 之间的关联归因于医疗环境的直接负面影响时应谨慎。