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评估学员对机器人手术学习曲线的影响:对大量小儿机器人辅助腹腔镜肾盂成形术病例的累积和分析

Evaluating the trainee impact on robotic surgery learning curves: a CUSUM analysis of large series pediatric robot-assisted laparoscopic pyeloplasty.

作者信息

Kim Jin Kyu, Batra Nikhil V, Szymanski Konrad M, Shavnore Renee, Misseri Rosalia, Kaefer Martin, Cain Mark P, Rink Richard C, Roth Joshua, Dangle Pankaj, Meldrum Kirstan, Whittam Benjamin M

机构信息

Department of Pediatric Urology, Riley Hospital for Children, Indiana University Health, 702 Barnhill Drive, Indianapolis, IN, 46202, USA.

出版信息

J Robot Surg. 2025 Mar 19;19(1):119. doi: 10.1007/s11701-025-02281-w.

Abstract

Robot-assisted laparoscopic pyeloplasty (RALP) is a minimally invasive treatment for ureteropelvic junction obstruction (UPJO). The learning curves for RALP have been well-documented, primarily in post-fellowship surgeons, but the impact of trainee involvement during fellowship training remains unclear. This study aims to (1) establish a large series post-fellowship single surgeon learning curve and (2) analyze the impact of annual trainee involvement on surgical proficiency using cumulative sum (CUSUM) analysis. A retrospective review of pediatric RALP cases from July 2012 to June 2023 at a high-volume institution was conducted. Cases performed by a single post-fellowship surgeon were included. Concomitant procedures and redo surgeries were excluded. Operative time (OT) and complication rates (CR) were tracked using CUSUM analysis. The learning curves were categorized into phases: learning, competency, case-mix, and proficiency. The effect of annual fellowship trainees was analyzed by constructing normalized learning curves per academic year. A total of 220 cases were analyzed. The post-fellowship surgeon reached competency after 29 cases, with proficiency achieved after 99 cases. Trainee involvement demonstrated a characteristic "down-up-down" pattern in OT and was not associated with increased CR during each of 6 years analyzed, reflecting an initial observation phase, increased operative time during hands-on learning, and eventual improvement. In contrast, the single year without a trainee showed a continuous downward OT trend. The complication rates remained below unacceptable thresholds and case complexity influenced OT trends. CUSUM-based analysis effectively maps the RALP learning curve, revealing distinct phases of surgical proficiency and the impact of trainee involvement. The reproducible trainee learning pattern provides insights into optimizing robotic surgery education while maintaining patient safety.

摘要

机器人辅助腹腔镜肾盂成形术(RALP)是治疗输尿管肾盂连接部梗阻(UPJO)的一种微创治疗方法。RALP的学习曲线已有充分记录,主要是针对 fellowship 培训后的外科医生,但在 fellowship 培训期间学员参与的影响仍不明确。本研究旨在:(1)建立 fellowship 培训后单外科医生的大型系列学习曲线;(2)使用累积和(CUSUM)分析来分析每年学员参与对手术熟练度的影响。对一家高容量机构2012年7月至2023年6月的小儿RALP病例进行了回顾性研究。纳入由一名 fellowship 培训后的外科医生实施的病例。排除同期手术和再次手术。使用CUSUM分析跟踪手术时间(OT)和并发症发生率(CR)。学习曲线分为几个阶段:学习、胜任、病例组合和熟练阶段。通过构建每个学年的标准化学习曲线来分析每年 fellowship 学员的影响。共分析了220例病例。fellowship 培训后的外科医生在29例手术后达到胜任水平,在99例手术后达到熟练水平。学员参与在OT方面呈现出典型的“下降 - 上升 - 下降”模式,并且在分析的6年中的每一年都与CR增加无关,反映出初始观察阶段、实践学习期间手术时间增加以及最终的改善。相比之下,没有学员参与的那一年OT呈现持续下降趋势。并发症发生率仍低于不可接受的阈值,病例复杂性影响OT趋势。基于CUSUM的分析有效地描绘了RALP学习曲线,揭示了手术熟练度的不同阶段以及学员参与的影响。可重复的学员学习模式为在保证患者安全的同时优化机器人手术教育提供了见解。

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