Durkin Michael J, Baker Arthur W, Dicks Kristen V, Lewis Sarah S, Chen Luke F, Anderson Deverick J, Sexton Daniel J, Moehring Rebekah W
1Department of Medicine,Division of Infectious Diseases,Duke University Medical Center,Durham,North Carolina,USA.
Infect Control Hosp Epidemiol. 2015 Feb;36(2):125-31. doi: 10.1017/ice.2014.42.
OBJECTIVE Hospitals in the National Healthcare Safety Network began reporting laboratory-identified (LabID) Clostridium difficile infection (CDI) events in January 2013. Our study quantified the differences between the LabID and traditional surveillance methods. DESIGN Cohort study. SETTING A cohort of 29 community hospitals in the southeastern United States. METHODS A period of 6 months (January 1, 2013, to June 30, 2013) of prospectively collected data using both LabID and traditional surveillance definitions were analyzed. CDI events with mismatched surveillance categories between LabID and traditional definitions were identified and characterized further. Hospital-onset CDI (HO-CDI) rates for the entire cohort of hospitals were calculated using each method, then hospital-specific HO-CDI rates and standardized infection ratios (SIRs) were calculated. Hospital rankings based on each CDI surveillance measure were compared. RESULTS A total of 1,252 incident LabID CDI events were identified during 708,551 patient-days; 286 (23%) mismatched CDI events were detected. The overall HO-CDI rate was 6.0 vs 4.4 per 10,000 patient-days for LabID and traditional surveillance, respectively (P<.001); of 29 hospitals, 25 (86%) detected a higher CDI rate using LabID compared with the traditional method. Hospital rank in the cohort differed greatly between surveillance measures. A rank change of at least 5 places occurred in 9 of 28 hospitals (32%) between LabID and traditional CDI surveillance methods, and for SIR. CONCLUSIONS LabID surveillance resulted in a higher hospital-onset CDI incidence rate than did traditional surveillance. Hospital-specific rankings varied based on the HO-CDI surveillance measure used. A clear understanding of differences in CDI surveillance measures is important when interpreting national and local CDI data.
目的 国家医疗安全网络中的医院于2013年1月开始报告实验室确诊(LabID)的艰难梭菌感染(CDI)事件。我们的研究量化了LabID与传统监测方法之间的差异。
设计 队列研究。
设置 美国东南部的29家社区医院队列。
方法 分析了2013年1月1日至2013年6月30日这6个月期间使用LabID和传统监测定义前瞻性收集的数据。确定并进一步分析LabID与传统定义之间监测类别不匹配的CDI事件。使用每种方法计算整个医院队列的医院获得性CDI(HO-CDI)率,然后计算特定医院的HO-CDI率和标准化感染比值(SIR)。比较基于每种CDI监测措施的医院排名。
结果 在708,551个患者日期间共确定了1,252例LabID确诊的CDI事件;检测到286例(23%)不匹配的CDI事件。LabID和传统监测的总体HO-CDI率分别为每10,000患者日6.0例和4.4例(P<0.001);在29家医院中,25家(86%)使用LabID检测到的CDI率高于传统方法。队列中的医院排名在监测措施之间差异很大。在28家医院中的9家(32%),LabID与传统CDI监测方法以及SIR之间的排名变化至少为5位。
结论 LabID监测导致医院获得性CDI发病率高于传统监测。特定医院的排名因所使用的HO-CDI监测措施而异。在解释国家和地方CDI数据时,清楚了解CDI监测措施的差异很重要。