Anceschi Umberto, Flammia Rocco Simone, Tufano Antonio, Morelli Michele, Galfano Antonio, Luciani Lorenzo Giuseppe, Misuraca Leonardo, Dell'Oglio Paolo, Tuderti Gabriele, Brassetti Aldo, Ferriero Maria Consiglia, Bove Alfredo Maria, Mastroianni Riccardo, Prata Francesco, Sperduti Isabella, Petralia Giovanni, Secco Silvia, Di Trapani Ettore, Mattevi Daniele, Cai Tommaso, Bocciardi Aldo Massimo, Simone Giuseppe
Department of Urology, IRCCS "Regina Elena" National Cancer Institute, Rome, Italy.
Urologic Clinic, Department of Maternal-Child and Urologic Sciences, Sapienza University of Rome, Italy.
Curr Urol. 2024 Jun;18(2):110-114. doi: 10.1097/CU9.0000000000000213. Epub 2024 Jun 21.
Recently, an innovative tool called "proficiency score" was introduced to assess the learning curve for robot-assisted radical prostatectomy (RARP). However, the initial study only focused on patients with low-risk prostate cancer for whom pelvic lymph node dissection (PLND) was not required. To address this issue, we aimed to validate proficiency scores of a contemporary multicenter cohort of patients with high-risk prostate cancer treated with RARP plus extended PLND by trainee surgeons.
Between 2010 and 2020, 4 Italian institutional prostate-cancer datasets were merged and queried for "RARP" and "high-risk prostate cancer." High-risk prostate cancer was defined according to the most recent European Association of Urology guidelines as follows: prostate-specific antigen >20 ng/mL, International Society of Urological Pathology ≥4, and/or clinical stage (cT) ≥ 2c on preoperative imaging. The selected cohort (n = 144) included clinical cases performed by trainee surgeons (n = 4) after completing their RARP learning curve (50 procedures for low-risk prostate cancer). The outcome of interest, the proficiency score, was defined as the coexistence of all the following criteria: a comparable operation time to the interquartile range of the mentor surgeon at each center, absence of any significant perioperative complications Clavien-Dindo Grade 3-5, no perioperative blood transfusions, and negative surgical margins. A logistic binary regression model was built to identify the predictors of 1-year trifecta achievement in the trainee cohort. For all statistical analyses, a 2-sided < 0.05 was considered significant.
A proficiency score was achieved in 42.3% patients. At univariable level, proficiency score was associated with 1-year trifecta achievement (odds ratio, 8.77; 95% confidence interval, 2.42-31.7; = 0.001). After multivariable adjustments for age, nerve-sparing, and surgical technique, the proficiency score independently predicted 1-year trifecta achievement (odds ratio, 9.58; 95% confidence interval, 1.83-50.1; = 0.007).
Our findings support the use of proficiency scores in patients and require extended PLND in addition to RARP.
最近,一种名为“熟练程度评分”的创新工具被引入,用于评估机器人辅助根治性前列腺切除术(RARP)的学习曲线。然而,最初的研究仅关注不需要盆腔淋巴结清扫(PLND)的低风险前列腺癌患者。为了解决这个问题,我们旨在验证由实习外科医生对接受RARP加扩大PLND治疗的当代多中心高危前列腺癌患者队列的熟练程度评分。
在2010年至2020年期间,合并了4个意大利机构的前列腺癌数据集,并查询了“RARP”和“高危前列腺癌”。根据欧洲泌尿外科协会最新指南,高危前列腺癌定义如下:前列腺特异性抗原>20 ng/mL、国际泌尿病理学会≥4级,和/或术前影像学检查临床分期(cT)≥2c。选定的队列(n = 144)包括实习外科医生(n = 4)在完成其RARP学习曲线(50例低风险前列腺癌手术)后进行的临床病例。感兴趣的结果,即熟练程度评分,定义为同时满足以下所有标准:手术时间与每个中心指导外科医生的四分位间距相当、无任何严重围手术期并发症(Clavien-Dindo 3-5级)、无围手术期输血,以及手术切缘阴性。建立了一个逻辑二元回归模型,以确定实习医生队列中1年三联成功的预测因素。对于所有统计分析,双侧P<0.05被认为具有统计学意义。
42.3%的患者达到了熟练程度评分。在单变量水平上,熟练程度评分与1年三联成功相关(优势比,8.77;95%置信区间,2.42-31.7;P = 0.001)。在对年龄、保留神经和手术技术进行多变量调整后,熟练程度评分独立预测1年三联成功(优势比,9.58;95%置信区间,1.83-50.1;P = 0.007)。
我们的研究结果支持在患者中使用熟练程度评分,并且除了RARP外还需要进行扩大PLND。