机器人手术的综合学习曲线:来自机器人胃切除术多中心前瞻性试验的发现。
Comprehensive Learning Curve of Robotic Surgery: Discovery From a Multicenter Prospective Trial of Robotic Gastrectomy.
机构信息
Korea University College of Medicine, Seoul, Republic of Korea.
Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
出版信息
Ann Surg. 2021 May 1;273(5):949-956. doi: 10.1097/SLA.0000000000003583.
OBJECTIVE
To evaluate the complication-based learning curve and identify learning-associated complications of robotic gastrectomy.
SUMMARY BACKGROUND DATA
With the increased popularity of robotic surgery, a sound understanding of the learning curve in the surgical outcome of robotic surgery has taken on great importance. However, a multicenter prospective study analyzing learning-associated morbidity has never been conducted in robotic gastrectomy.
METHODS
Data on 502 robotic gastrectomy cases were prospectively collected from 5 surgeons. Risk-adjusted cumulative sum analysis was applied to visualize the learning curve of robotic gastrectomy on operation time and complications.
RESULTS
Twenty-five cases, on average, were needed to overcome complications and operation time-learning curve sufficiently to gain proficiency in 3 surgeons. An additional 23 cases were needed to cross the transitional phase to progress from proficiency to mastery. The moderate complication rate (CD ≥ grade II) was 20% in phase 1 (cases 1-25), 10% in phase 2 (cases 26-65), 26.1% in phase 3 (cases 66-88), and 6.4% in phase 4 (cases 89-125) (P < 0.001). Among diverse complications, CD ≥ grade II intra-abdominal bleeding (P < 0.001) and abdominal pain (P = 0.01) were identified as major learning-associated morbidities of robotic gastrectomy. Previous experience on laparoscopic surgery and mode of training influenced progression in the learning curve.
CONCLUSIONS
This is the first study suggesting that technical immaturity substantially affects the surgical outcomes of robotic gastrectomy and that robotic gastrectomy is a complex procedure with a significant learning curve that has implications for physician training and credentialing.
目的
评估基于并发症的学习曲线,并确定机器人胃切除术的学习相关并发症。
背景资料摘要
随着机器人手术的普及,对机器人手术手术结果的学习曲线有一个清晰的了解变得非常重要。然而,从未进行过一项针对机器人胃切除术中学习相关发病率的多中心前瞻性研究。
方法
从 5 名外科医生那里前瞻性地收集了 502 例机器人胃切除术的数据。应用风险调整累积和分析来可视化机器人胃切除术在手术时间和并发症方面的学习曲线。
结果
平均需要 25 例手术来克服并发症和手术时间学习曲线,从而使 3 名外科医生熟练掌握。还需要另外 23 例手术来跨越过渡阶段,从熟练进步到精通。中度并发症率(CD≥Ⅱ级)在第 1 阶段(病例 1-25)为 20%,第 2 阶段(病例 26-65)为 10%,第 3 阶段(病例 66-88)为 26.1%,第 4 阶段(病例 89-125)为 6.4%(P<0.001)。在各种并发症中,CD≥Ⅱ级腹腔内出血(P<0.001)和腹痛(P=0.01)被确定为机器人胃切除术的主要学习相关并发症。以前的腹腔镜手术经验和培训模式影响学习曲线的进展。
结论
这是第一项表明技术不成熟会极大地影响机器人胃切除术手术结果的研究,并且机器人胃切除术是一个复杂的过程,具有显著的学习曲线,这对医生的培训和认证有影响。