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结直肠手术分类对术后手术部位感染报告的影响。

Effects of Colorectal Surgery Classification on Reported Postoperative Surgical Site Infections.

机构信息

Department of Surgery, Section of Colorectal Surgery, Stanford University School of Medicine, Stanford, California.

Villanova University, Villanova, Pennsylvania.

出版信息

J Surg Res. 2019 Apr;236:340-344. doi: 10.1016/j.jss.2018.12.005. Epub 2019 Jan 4.

Abstract

BACKGROUND

Current procedural terminology (CPT) for colon and rectal surgery lacks procedural granularity and misclassification rates are unknown. However, they are used in performance measurement, for example, in surgical site infection (SSI). The objective of this study was to determine whether American College of Surgeons National Surgical Quality Improvement Program (NSQIP) abstraction methods accurately classify types of colorectal operations and, by extension, reported SSI rates.

MATERIALS AND METHODS

This was a retrospective study conducted at a single tertiary care center. The colectomy- and proctectomy-targeted NSQIP database from January 2011 to July 2016 was used to perform a semiautomated reclassification (SAR) of all colectomy and proctectomy cases performed by colorectal surgeons. The primary outcome was the difference in perioperative SSI rates by case classification method.

RESULTS

Thousand sixty-three patients underwent a colectomy or proctectomy during the study period with a mean age of 55.7 (SD = 16.7) years. Use of the NSQIP classification scheme resulted in 849 colectomy and 214 proctectomy cases. Use of the SAR method resulted in 650 colectomy cases and 413 proctectomy cases (P < 0.001), a 23.4% reclassification of colectomy cases. The group of cases classified as colectomy by SAR had a lower rate of deep/organ space infections than those classified as colectomy by NSQIP (4.5% versus 7.1%, P = 0.034).

CONCLUSIONS

These findings highlight the challenges of CPT code-based patient classification and subsequent outcomes analysis. Expanding the CPT system to more accurately represent colorectal operations would allow for more representative reported outcomes, thus enabling benchmarking and quality improvement.

摘要

背景

结肠和直肠手术的现行操作术语 (CPT) 缺乏操作细节,且分类错误率未知。然而,它们被用于绩效衡量,例如手术部位感染 (SSI)。本研究的目的是确定美国外科医师学会国家手术质量改进计划 (NSQIP) 的提取方法是否能准确分类结直肠手术类型,以及由此扩展的报告 SSI 率。

材料和方法

这是一项在一家三级保健中心进行的回顾性研究。使用 2011 年 1 月至 2016 年 7 月的结直肠手术靶向 NSQIP 数据库,对所有由结直肠外科医生实施的结直肠切除术和直肠切除术病例进行半自动重新分类 (SAR)。主要结局是两种病例分类方法的围手术期 SSI 率差异。

结果

研究期间,1063 例患者接受了结直肠切除术,平均年龄为 55.7(SD=16.7)岁。使用 NSQIP 分类方案导致 849 例结直肠切除术和 214 例直肠切除术。使用 SAR 方法导致 650 例结直肠切除术和 413 例直肠切除术病例(P<0.001),结直肠切除术病例的重新分类率为 23.4%。SAR 方法分类为结直肠切除术的病例中,深部/器官间隙感染的发生率低于 NSQIP 分类为结直肠切除术的病例(4.5%对 7.1%,P=0.034)。

结论

这些发现强调了基于 CPT 代码的患者分类和随后的结果分析的挑战。扩大 CPT 系统以更准确地代表结直肠手术,将允许更具代表性的报告结果,从而实现基准测试和质量改进。

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