Park Kena, Kwon Ji Young, Yoo Eun-Hee, Lee Seon Hwa, Song Jeong Min, Pyeon Seung Yeon
Department of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, School of Medicine, Kyung Hee University, 892, Dongnam-ro, Gangdong-gu, Seoul, 134-727, Korea.
Department of Medicine, Graduate School of Medicine, Kyung Hee University, Seoul, Korea.
BMC Surg. 2024 Dec 4;24(1):385. doi: 10.1186/s12893-024-02691-x.
The aim of this study was to assess the learning curve of robotic-assisted sacrocolpopexy by applying CUSUM analysis based on operation time, complication rate and conversion rate to open laparotomy.
A retrospective study was conducted with 50 consecutive robotic-assisted sacrocolpopexy surgeries performed from June 2018 and June 2023 by a single experienced gynecologist. Baseline patient demographics, intraoperative parameters and postoperative outcomes were collected. Cumulative sum (CUSUM) of robotic-assisted sacrocolpopexy operation time was analyzed to determine breakpoints between learning phases using piecewise linear regression. This allowed the detection of subtle shifts in surgical parameters and ultimately surgeon proficiency and competency. Continuous variables, such as age, length of hospitalization and op time, were reported as mean (standard deviation). One-way analysis of variance was employed to compare continuous variables. Categorical variables were expressed as percentages and analyzed using the chi-square test.
The regression identified breakpoints at case 8.47 (95% CI 8.0, 9.0) and case 34.41 (95% CI 32.7, 36.1), with an R value of 0.87, which agrees with that of the second-order polynomial equation. The breakpoints were rounded to the next whole number at case 9 and 35. The Learning, Proficiency, and Competency phases consisted of 9, 26, and 15 cases, respectively in this consecutive series. This suggests that the surgeon achieved proficiency after the first 9 cases and competency after 35 cases. There were no intraoperative nor short-term post-operative complications during the span of this study. Furthermore, there were no conversions to open laparotomy. CUSUM analysis based on complication and conversion rate, therefore, was not available.
According to CUSUM analysis, surgical proficiency of robotic-assisted sacrocolpopexy was attained after the first 9 cases, and stabilization of operation time was achieved after 35 cases. This statistical tool has proven to be useful in objectively assessing learning curves for new surgical techniques, and the transition from laparoscopic sacrocolpopexy to robotic-assisted sacrocolpopexy seems achievable. This, however, may vary with each surgeon's manual dexterity and experience level. Further investigation with several surgeons and institutions is needed to define a more accurate and generalized learning curve of robotic-assisted sacrocolpopexy.
本研究的目的是通过基于手术时间、并发症发生率和转为开腹手术的转化率应用累积和(CUSUM)分析来评估机器人辅助骶骨阴道固定术的学习曲线。
对一位经验丰富的妇科医生在2018年6月至2023年6月期间连续进行的50例机器人辅助骶骨阴道固定术进行回顾性研究。收集患者的基线人口统计学数据、术中参数和术后结果。分析机器人辅助骶骨阴道固定术手术时间的累积和(CUSUM),使用分段线性回归确定学习阶段之间的断点。这有助于检测手术参数的细微变化,并最终评估外科医生的熟练程度和能力。连续变量,如年龄、住院时间和手术时间,以均值(标准差)报告。采用单因素方差分析比较连续变量。分类变量以百分比表示,并使用卡方检验进行分析。
回归分析确定在第8.47例(95%可信区间8.0,9.0)和第34.41例(95%可信区间32.7,36.1)出现断点,R值为0.87,与二阶多项式方程一致。断点四舍五入到下一个整数为第9例和第35例。在这个连续系列中,学习阶段、熟练阶段和胜任阶段分别包括9例、26例和15例。这表明外科医生在前9例手术后达到熟练水平,在35例手术后达到胜任水平。在本研究期间,没有术中及短期术后并发症。此外,没有转为开腹手术的情况。因此,无法进行基于并发症和转化率的CUSUM分析。
根据CUSUM分析,机器人辅助骶骨阴道固定术在第9例手术后达到手术熟练水平,在35例手术后手术时间趋于稳定。这种统计工具已被证明有助于客观评估新手术技术的学习曲线,并且从腹腔镜骶骨阴道固定术向机器人辅助骶骨阴道固定术的过渡似乎是可行的。然而,这可能因每位外科医生的手部灵活性和经验水平而异。需要对多名外科医生和机构进行进一步研究,以确定更准确和通用的机器人辅助骶骨阴道固定术学习曲线。