Surgeon Experience is Associated with Prolonged Air Leak after Robotic-assisted Pulmonary Lobectomy.
ANNALS OF THORACIC SURGERY(2022)
摘要
BACKGROUND Prolonged air leak (PAL) (>5 days) after robotic-assisted pulmonary lobectomy is a significant complication. This study aimed to determine patient-and surgeon-related factors that can predict PAL after robotic lobectomy for lung cancer. METHODS This study was a retrospective review of a single-center experience of robotic-assisted lobectomy for lung cancer. Perioperative variables, including surgeon case experience, patient demographics, diffusion capacity of lung for carbon monoxide, forced expiratory volume in 1 second, body mass index, and smoking status were evaluated. RESULTS A total of 305 robotic-assisted lobectomies performed by 4 surgeons met inclusion criteria from June 2016 to February 2019. The 30-day postoperative mortality was 1.2%. PAL developed in 27 of 305 (8.8%) patients. Surgeons' robotic experience was grouped by 10-case increments. When adjusted for age and sex, the odds for PAL decreased by 15% for every 10 robotic lobectomies the surgeons performed (odds ratio [OR], 0.85; 95% CI, 0.74-0.99; P = .0384). Logistic regression models showed a linear transition curve at the 50th case. Female sex (OR, 2.62; 95% CI, 1.03-6.69; P = .0314) and younger age (OR, 0.61; 95% CI, 0.41-0.91; P = .0184) were statistically significant risk factors for PAL. Cumulative sum analysis similarly showed a strong association between experience and PAL. Preoperative diffusing capacity of lung for carbon monoxide, forced expiratory volume in 1 second, body mass index, and smoking status were not statistically significant predictive factors. CONCLUSIONS These results show that surgeon robotic case experience is associated with the rate of postoperative PAL: as the number of robotic lobectomies increases, the rate of PAL significantly decreases. It is imperative to emphasize that a learning curve exists for this approach that directly affects patient outcomes. (Ann Thorac Surg 2022;114:434-41) (c) 2022 by The Society of Thoracic Surgeons
更多查看译文
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要