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首页> 外文期刊>American Journal of Epidemiology >The co-seasonality of pneumonia and influenza with clostridium difficile infection in the United States, 1993-2008
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The co-seasonality of pneumonia and influenza with clostridium difficile infection in the United States, 1993-2008

机译:1993-2008年美国肺炎和流感与艰难梭菌感染的共时性

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Seasonal variations in the incidence of pneumonia and influenza are associated with nosocomial Clostridium difficile infection (CDI) incidence, but the reasons why remain unclear. Our objective was to consider the impact of pneumonia and influenza timing and severity on CDI incidence. We conducted a retrospective cohort study using the US National Hospital Discharge Survey sample. Hospitalized patients with a diagnosis of CDI or pneumonia and influenza between 1993 and 2008 were identified from the National Hospital Discharge Survey data set. Poisson regression models of monthly CDI incidence were used to measure 1) the time lag between the annual pneumonia and influenza prevalence peak and the annual CDI incidence peak and 2) the lagged effect of pneumonia and influenza prevalence on CDI incidence. CDI was identified in 18,465 discharges (8.52 per 1,000 discharges). Peak pneumonia prevalence preceded peak CDI incidence by 9.14 weeks (95% confidence interval: 4.61, 13.67). A 1% increase in pneumonia prevalence was associated with a cumulative effect of 11.3% over a 6-month lag period (relative risk = 1.113, 95% confidence interval: 1.073, 1.153). Future research could seek to understand which mediating pathways, including changes in broad-spectrum antibiotic prescribing and hospital crowding, are most responsible for the associated changes in incidence.
机译:肺炎和流感的发病率季节性变化与院内艰难梭菌感染(CDI)发病率有关,但原因尚不清楚。我们的目标是考虑肺炎和流感的时机和严重程度对CDI发生率的影响。我们使用美国国家医院出院调查样本进行了回顾性队列研究。从国家医院出院调查数据集中确定了1993年至2008年之间诊断为CDI或肺炎和流感的住院患者。每月CDI发生率的Poisson回归模型用于测量1)年度肺炎和流感流行高峰与年度CDI发生高峰之间的时间差,以及2)肺炎和流感流行对CDI发生的滞后影响。 CDI被确定为18,465排放量(每1,000排放量中为8.52)。肺炎流行高峰在CDI高峰发病之前9.14周(95%置信区间:4.61,13.67)。肺炎患病率每升高1%,则在6个月的滞后时间内累积效应为11.3%(相对风险= 1.113,95%置信区间:1.073,1.153)。未来的研究可能试图了解哪种介导途径(包括广谱抗生素处方的改变和医院拥挤)是与发病率相关的变化最主要的原因。

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