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奥施纳浸信会医院良性指征子宫切除术手术路径选择的回顾性分析

Retrospective Analysis of Route Selection for Hysterectomy for Benign Indications at Ochsner Baptist Hospital.

作者信息

Blosser Emily G, Morris George B, Gala Rajiv B

机构信息

Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, LA.

The University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA.

出版信息

Ochsner J. 2020 Winter;20(4):368-372. doi: 10.31486/toj.20.0017.

Abstract

Hysterectomy, the most common gynecologic procedure in the United States, can be performed in a number of ways. A shift in surgical practice toward cost-effective and minimally invasive approaches provides an impetus to maximize early training in vaginal surgery for resident physicians. A total of 62 abdominal, 303 robotic, and 41 vaginal hysterectomies performed between January 1, 2015 and December 31, 2017 at Ochsner Baptist Hospital in New Orleans, LA, that met inclusion criteria were retrospectively reviewed with a previously published route selection algorithm. We applied the algorithm using preoperative and postoperative data collected via medical record review to determine if our practices favor minimally invasive approaches. Analysis using preoperative variables identified 152 robotic cases that were vaginal hysterectomy candidates (50.2%). Postoperative analysis of the same cases identified 127 (41.9%) vaginal hysterectomy candidates. Among abdominal cases, 37 (59.7%) called for a less invasive approach by preoperative findings: 7 (11.3%) vaginal and 30 (48.4%) laparoscopic. The algorithm sorted only 25 of the 62 abdominal cases (40.3%) to the abdominal approach. Use of a hysterectomy route selection algorithm preoperatively improves identification of candidates for minimally invasive hysterectomy.

摘要

子宫切除术是美国最常见的妇科手术,有多种实施方式。手术实践向具有成本效益和微创方法的转变,为住院医师最大化早期阴道手术培训提供了动力。对2015年1月1日至2017年12月31日期间在路易斯安那州新奥尔良市奥施纳浸信会医院进行的62例腹部子宫切除术、303例机器人辅助子宫切除术和41例阴道子宫切除术进行回顾性研究,这些手术均符合纳入标准,并采用先前发表的手术路径选择算法进行分析。我们通过病历审查收集术前和术后数据,应用该算法来确定我们的手术操作是否倾向于微创方法。使用术前变量进行分析,确定了152例机器人辅助子宫切除术病例为阴道子宫切除术候选病例(50.2%)。对相同病例进行术后分析,确定了127例(41.9%)阴道子宫切除术候选病例。在腹部手术病例中,术前检查结果显示37例(59.7%)需要采用侵入性较小的方法:7例(11.3%)为阴道手术,30例(48.4%)为腹腔镜手术。该算法仅将62例腹部手术病例中的25例(40.3%)归类为腹部手术路径。术前使用子宫切除术路径选择算法可改善微创子宫切除术候选病例的识别。

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