Patel Tejas M, Shah Sanjay C, Patel Aman T, Patel Bhavin, Pancholy Samir B
Apex Heart Institute, Ahmedabad, India.
Veterans Administration Medical Center, Wilkes-Barre, Pennsylvania.
J Soc Cardiovasc Angiogr Interv. 2022 Oct 13;1(6):100508. doi: 10.1016/j.jscai.2022.100508. eCollection 2022 Nov-Dec.
Robotic percutaneous coronary intervention (R-PCI) has been shown to provide benefits to operators and patients when compared with traditional percutaneous coronary intervention. Despite being available for 16 years in the United States, utilization of R-PCI remains low. This may be because of an expected learning curve with this technology. We sought to describe the characteristics and magnitude of the learning curve with R-PCI.
Consecutive patients undergoing R-PCI (Corpath GRX-2) at a tertiary care center by a single operator were studied prospectively. Demographic, angiographic, and procedural variables were collected. The primary study endpoints included fluoroscopy time, procedure time, and contrast volume. The distributions of each of these variables were plotted against the case numbers in chronological sequence, and the best curve fits were identified. Using the best model, the slope of the relationships was analyzed. Flattening of the slope of these plots were considered suggestive of a learning effect.
A total of 546 R-PCI and 1654 traditional percutaneous coronary intervention procedures were studied; 22 crossovers to traditional percutaneous coronary intervention occurred. Most of the crossovers occurred in the first quartile of procedures; no crossovers occurred in the latter half of the cohort. Procedure time decreased as the procedure number increased, with the slope flattening at procedure number 50. Contrast volume decreased as experience increased, with a slope flattening at procedure number 30. Both parameters continued to decrease as experience increased. Fluoroscopy time demonstrated a flattening slope after procedure number 15. This likely is driven by the lower complexity by Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) score remained stable over the procedure sequence, with no significant complexity change over the study period.
The "learning effect" of R-PCI is observed with steep improvement in study metrics up to 50 procedures and a continuing improvement of lesser magnitude afterward.
与传统经皮冠状动脉介入治疗相比,机器人辅助经皮冠状动脉介入治疗(R-PCI)已被证明对术者和患者均有益处。尽管在美国已有16年,但R-PCI的使用率仍然很低。这可能是因为这项技术存在预期的学习曲线。我们试图描述R-PCI学习曲线的特征和程度。
对一名术者在一家三级医疗中心连续进行R-PCI(Corpath GRX-2)的患者进行前瞻性研究。收集人口统计学、血管造影和手术相关变量。主要研究终点包括透视时间、手术时间和造影剂用量。将这些变量的分布按时间顺序与病例数进行绘制,并确定最佳曲线拟合。使用最佳模型,分析各关系的斜率。这些图斜率变平被认为提示有学习效应。
共研究了546例R-PCI和1654例传统经皮冠状动脉介入治疗手术;发生了22例转为传统经皮冠状动脉介入治疗的情况。大多数转换发生在手术的第一个四分位数阶段;在队列的后半部分没有发生转换。手术时间随着手术例数的增加而减少,在第50例手术时斜率变平。造影剂用量随着经验的增加而减少,在第30例手术时斜率变平。随着经验的增加,这两个参数持续下降。透视时间在第15例手术后斜率变平。这可能是由于经皮冠状动脉介入治疗与心脏手术协同作用(SYNTAX)评分较低导致的复杂性降低。SYNTAX评分在整个手术序列中保持稳定,在研究期间没有显著的复杂性变化。
R-PCI的“学习效应”表现为在进行50例手术之前,研究指标有显著改善,之后改善幅度较小且持续存在。