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单部位机器人胆囊切除术的学习曲线:累积和分析。

Learning Curve of Single-site Robotic Cholecystectomy: A Cumulative Sum Analysis.

机构信息

Department of Surgery, Good Samaritan Medical Center, Brockton.

Tufts University School of Medicine.

出版信息

Surg Laparosc Endosc Percutan Tech. 2023 Jun 1;33(3):310-316. doi: 10.1097/SLE.0000000000001178.

Abstract

BACKGROUND

Minimally invasive surgery has significantly improved cosmesis and clinical outcomes after either laparoscopic or robotic cholecystectomy. In an effort to minimize the number of incisions in multiport procedures, single-site approaches have been developed. However, single-site robotic cholecystectomy (SSRC) can be technically challenging for novice surgeons. The goal of this study is to establish the learning curve (LC) of SSRC through an assessment of operative times and clinical outcomes.

MATERIALS AND METHODS

A retrospective analysis of patients undergoing SSRC over a period of 5 years was performed. Consecutive cholecystectomy cases were assessed based on the procedure setting (elective vs. emergent). Cumulative sum analysis were used to establish the LC through an evaluation of the skin-to-skin (STS) time and postoperative complications rate. Afterward, a direct comparison was performed between the established phases.

RESULTS

This study included a total of 259 SSRCs with an overall mean STS time of 41.1 minutes. Elective cases took on average of 38.8 minutes, whereas emergent cases spanned over 60.5 minutes ( P= 0.005). The cumulative sum-LC was obtained by summing the differences between each procedure's STS time, revealing a quadratic best-fit line maximum and an inflection point between the early and late phases at case 91. A significant difference between STS time was seen between the early and late phases (53.8 vs. 30.0 min, P< 0.0001). There were no significant differences in terms of postoperative complications between the 2 phases. Incisional hernia rates were comparable between the 2 phases (early: 4.4% vs. late: 2.5%, P< 0.461).

CONCLUSIONS

This is the largest study to assess the LC of SSRC through operative time and clinical outcomes. A steady decrease in STS time was observed during the completion of the first 91 consecutive cases.

摘要

背景

腹腔镜或机器人胆囊切除术显著改善了美容效果和临床结果。为了尽量减少多端口手术中的切口数量,已经开发了单部位方法。然而,单部位机器人胆囊切除术(SSRC)对于新手外科医生来说具有一定的技术挑战性。本研究的目的是通过评估手术时间和临床结果来确定 SSRC 的学习曲线(LC)。

材料和方法

对 5 年内接受 SSRC 的患者进行了回顾性分析。根据手术设置(择期与急诊)评估连续胆囊切除术病例。累积和分析用于通过评估皮肤到皮肤(STS)时间和术后并发症发生率来确定 LC。之后,对已建立的阶段进行了直接比较。

结果

本研究共包括 259 例 SSRC,平均 STS 时间为 41.1 分钟。择期病例的平均 STS 时间为 38.8 分钟,而急诊病例的 STS 时间超过 60.5 分钟(P=0.005)。通过将每个手术 STS 时间之间的差异相加获得累积和 LC,揭示了早期和晚期之间最佳拟合线最大值和拐点在第 91 例。早期和晚期之间的 STS 时间存在显著差异(53.8 分钟比 30.0 分钟,P<0.0001)。两个阶段之间在术后并发症方面没有显著差异。两个阶段之间的切口疝发生率相似(早期:4.4%比晚期:2.5%,P<0.461)。

结论

这是评估 SSRC 通过手术时间和临床结果的 LC 的最大研究。在完成前 91 例连续病例的过程中,STS 时间呈稳步下降趋势。

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