Pages Pierre-Benoit, Cottenet Jonathan, Madelaine Leslie, Dhérissard Florian, Abou-Hanna Halim, Bernard Alain, Quantin Catherine
Department of Thoracic and Cardiovascular Surgery, CHU Dijon Bourgogne, 21000 Dijon, France.
Service de Biostatistiques et d'Information Médicale (DIM), CHU Dijon Bourgogne, 21000 Dijon, France.
Cancers (Basel). 2024 Dec 18;16(24):4221. doi: 10.3390/cancers16244221.
Recent publications suggest that the threshold for validation of the learning curve is 25 procedures. The aim of this study was to evaluate this threshold using another rarely used method, based on a composite quality indicator.
We included all patients from the French medico-administrative database receiving robot-assisted surgery for lung cancer, with a focus on hospitals performing at least 25 procedures over the period 2019-2022. For postoperative complication analysis, we used the Clavien-Dindo classification. We used the sequential probability ratio test to estimate the number of procedures at which a hospital achieved its learning curve.
In France, the number of robotic-assisted procedures has risen steadily in the past few years: 195 in 2019 and 1567 in 2022 (overall, 3706 Robot-Assisted surgeries). The total number of patients with Clavien-Dindo classification > II was 833 (24.7%). Among the 28 hospitals performing at least 25 procedures, eight achieved their learning curve with thresholds ranging from 94 to 174 procedures, and the median was 110. Severe complications such as acute respiratory distress syndrome, respiratory failure, heart failure, acute ischemia of the lower limbs, or pulmonary embolism were significantly more frequent in the group of hospitals that did not validate the learning curve threshold.
This study suggests that the threshold of 25 procedures may not be sufficient to validate the robot-assisted surgery learning curve in lung cancer surgery. To significantly reduce postoperative complications, a hospital would need to perform 94 to 174 procedures to guarantee patient safety.
最近的出版物表明,学习曲线验证的阈值是25例手术。本研究的目的是使用另一种很少使用的基于综合质量指标的方法来评估该阈值。
我们纳入了法国医疗管理数据库中所有接受机器人辅助肺癌手术的患者,重点关注在2019年至2022年期间至少进行25例手术的医院。对于术后并发症分析,我们使用了Clavien-Dindo分类法。我们使用序贯概率比检验来估计医院达到其学习曲线的手术数量。
在法国,过去几年机器人辅助手术的数量稳步上升:2019年为195例,2022年为1567例(总体为3706例机器人辅助手术)。Clavien-Dindo分类>II级的患者总数为833例(24.7%)。在至少进行25例手术的28家医院中,有8家达到了学习曲线,阈值范围为94至174例手术,中位数为110例。在未达到学习曲线阈值的医院组中,急性呼吸窘迫综合征、呼吸衰竭、心力衰竭、下肢急性缺血或肺栓塞等严重并发症明显更常见。
本研究表明,25例手术的阈值可能不足以验证肺癌手术中机器人辅助手术的学习曲线。为了显著降低术后并发症,医院需要进行94至174例手术以确保患者安全。