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儿科和新生儿重症监护病房获得性感染的发生率。

Incidence of pediatric and neonatal intensive care unit-acquired infections.

作者信息

Banerjee Shailendra N, Grohskopf Lisa A, Sinkowitz-Cochran Ronda L, Jarvis William R

机构信息

Division of Healthcare Quality Promotion, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA.

出版信息

Infect Control Hosp Epidemiol. 2006 Jun;27(6):561-70. doi: 10.1086/503337. Epub 2006 May 3.

Abstract

OBJECTIVE

To compare the cumulative incidence of infections acquired in the pediatric intensive care unit (PICU) and neonatal intensive care unit (NICU).

DESIGN

Estimation of the cumulative incidence of infections with data obtained from the Pediatric Prevention Network (PPN) point-prevalence survey and observed rates from the National Nosocomial Infections Surveillance (NNIS) system.

SETTING

Ten hospitals participated in both the PPN survey and NNIS system.

PARTICIPANTS

All patients present on the PPN survey dates (August 4, 1999, or February 1, 2000) in the NICUs or PICUs of the PPN hospitals were included in the survey. Point prevalences for PICU-acquired and for NICU-acquired infections at these hospitals were calculated from the survey data. The cumulative incidence rates were estimated from the point prevalence rates using a standard formula and a standard method for calculating the time to recovery (ie, on the basis of the assumption that discontinuance of antimicrobial therapy indicates recovery from infection); alternate methods to judge the time to recovery from infection were also explored.

RESULTS

The average cumulative incidence of intensive care unit-acquired infection for NICUs and PICUs combined (all units), as measured by NNIS, was 14.1 cases per 100 patients; in comparison, the prevalence was 14.06 cases for 100 patients (median difference, -0.95 cases per 100 patients; 95% confidence interval, -4.6 to 5.0 cases per 100 patients), and the estimated cumulative incidence using the standard method of calculating the time to recovery was 13.8 cases per 100 patients (median difference, -1.5 cases per 100 patients; 95% confidence interval, -9.1 to 2.9 cases per 100 patients). Estimates of cumulative incidence using alternate methods for calculation of time to recovery did not perform as well (range, 4.9-100.9 cases per 100 patients). The average incidence density for all units, as measured by the NNIS system, was 6.8 cases per 1,000 patient-days, and the estimate of incidence density using the standard method of calculating the time to recovery was 3.6 cases per 1,000 patient-days (median difference, 4.3 cases per 1,000 patient-days; 95% confidence interval, 0.9 to 9.2 cases per 1,000 patient-days). Estimated incidence densities using alternate methods for determining recovery time correlated closely with observed incidence densities.

CONCLUSIONS

In this patient population, the simple point prevalence provided the best estimate of cumulative incidence, followed by use of a standard formula and a standard method of calculating the time to recovery. Estimation of incidence density using alternate methods performed well. The standard formula and method may provide an even better estimate of cumulative incidence than does simple prevalence in general populations.

摘要

目的

比较儿科重症监护病房(PICU)和新生儿重症监护病房(NICU)获得性感染的累积发病率。

设计

利用从儿科预防网络(PPN)现患率调查获得的数据以及国家医院感染监测(NNIS)系统的观察率来估计感染的累积发病率。

地点

10家医院同时参与了PPN调查和NNIS系统。

参与者

PPN医院的NICU或PICU中在PPN调查日期(1999年8月4日或2000年2月1日)时在场的所有患者均纳入调查。根据调查数据计算这些医院PICU获得性感染和NICU获得性感染的现患率。使用标准公式和计算恢复时间的标准方法(即基于抗菌治疗停止表明感染恢复的假设)从现患率估计累积发病率;还探索了判断感染恢复时间的替代方法。

结果

根据NNIS测量,NICU和PICU合并(所有病房)的重症监护病房获得性感染的平均累积发病率为每100例患者14.1例;相比之下,每100例患者的现患率为14.06例(中位数差异为每100例患者-0.95例;95%置信区间为每100例患者-4.6至5.0例),使用计算恢复时间的标准方法估计的累积发病率为每100例患者13.8例(中位数差异为每100例患者-1.5例;95%置信区间为每100例患者-9.1至2.9例)。使用计算恢复时间的替代方法估计的累积发病率表现不佳(范围为每100例患者4.9 - 100.9例)。根据NNIS系统测量,所有病房的平均发病密度为每1000患者日6.8例,使用计算恢复时间的标准方法估计的发病密度为每1000患者日3.6例(中位数差异为每1000患者日4.3例;95%置信区间为每1000患者日0.9至9.2例)。使用确定恢复时间的替代方法估计的发病密度与观察到的发病密度密切相关。

结论

在该患者群体中,简单现患率对累积发病率的估计最佳,其次是使用标准公式和计算恢复时间的标准方法。使用替代方法估计发病密度效果良好。一般人群中,标准公式和方法可能比简单现患率能更好地估计累积发病率。

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