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比较国家外科质量改进项目和机构数据库中的手术感染情况。

Comparing surgical infections in National Surgical Quality Improvement Project and an Institutional Database.

作者信息

Selby Luke V, Sjoberg Daniel D, Cassella Danielle, Sovel Mindy, Weiser Martin R, Sepkowitz Kent, Jones David R, Strong Vivian E

机构信息

Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.

Department of Biostatistics and Epidemiology, Memorial Sloan Kettering Cancer Center, New York, New York.

出版信息

J Surg Res. 2015 Jun 15;196(2):416-20. doi: 10.1016/j.jss.2015.02.072. Epub 2015 Mar 6.

Abstract

BACKGROUND

Surgical quality improvement requires accurate tracking and benchmarking of postoperative adverse events. We track surgical site infections (SSIs) with two systems; our in-house surgical secondary events (SSE) database and the National Surgical Quality Improvement Project (NSQIP). The SSE database, a modification of the Clavien-Dindo classification, categorizes SSIs by their anatomic site, whereas NSQIP categorizes by their level. Our aim was to directly compare these different definitions.

MATERIALS AND METHODS

NSQIP and the SSE database entries for all surgeries performed in 2011 and 2012 were compared. To match NSQIP definitions, and while blinded to NSQIP results, entries in the SSE database were categorized as either incisional (superficial or deep) or organ space infections. These categorizations were compared with NSQIP records; agreement was assessed with Cohen kappa.

RESULTS

The 5028 patients in our cohort had a 6.5% SSI in the SSE database and a 4% rate in NSQIP, with an overall agreement of 95% (kappa = 0.48, P < 0.0001). The rates of categorized infections were similarly well matched; incisional rates of 4.1% and 2.7% for the SSE database and NSQIP and organ space rates of 2.6% and 1.5%. Overall agreements were 96% (kappa = 0.36, P < 0.0001) and 98% (kappa = 0.55, P < 0.0001), respectively. Over 80% of cases recorded by the SSE database but not NSQIP did not meet NSQIP criteria.

CONCLUSIONS

The SSE database is an accurate, real-time record of postoperative SSIs. Institutional databases that capture all surgical cases can be used in conjunction with NSQIP with excellent concordance.

摘要

背景

手术质量的提高需要准确跟踪和衡量术后不良事件。我们通过两个系统跟踪手术部位感染(SSI);我们内部的手术继发性事件(SSE)数据库和国家外科手术质量改进项目(NSQIP)。SSE数据库是对Clavien-Dindo分类法的修改,根据解剖部位对SSI进行分类,而NSQIP则根据感染程度进行分类。我们的目的是直接比较这些不同的定义。

材料与方法

比较了2011年和2012年所有手术的NSQIP和SSE数据库条目。为了匹配NSQIP的定义,在对NSQIP结果不知情的情况下,将SSE数据库中的条目分类为切口感染(浅表或深部)或器官腔隙感染。将这些分类与NSQIP记录进行比较;使用Cohen kappa评估一致性。

结果

我们队列中的5028例患者在SSE数据库中的SSI发生率为6.5%,在NSQIP中的发生率为4%,总体一致性为95%(kappa = 0.48,P < 0.0001)。分类感染率的匹配情况同样良好;SSE数据库和NSQIP的切口感染率分别为4.1%和2.7%,器官腔隙感染率分别为2.6%和1.5%。总体一致性分别为96%(kappa = 0.36,P < 0.0001)和98%(kappa = 0.55,P < 0.0001)。SSE数据库记录但NSQIP未记录的病例中,超过80%不符合NSQIP标准。

结论

SSE数据库是术后SSI的准确实时记录。记录所有手术病例的机构数据库可与NSQIP联合使用,一致性良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/faf9/4667735/c03cf966b0ff/nihms740139f1.jpg

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