Learning curve and established phase for uniportal VATS lobectomies: the Papworth experience

单孔胸腔镜肺叶切除术的学习曲线和成熟阶段:帕普沃斯医院的经验

阅读:1

Abstract

BACKGROUND: Uniportal video-assisted thoracoscopy (VATS) has increasingly gained importance in the thoracic surgery scenario. The use of this technique can reduce postoperative pain and length of stay and gives the surgeon the same operative perspective as open surgery. METHODS: We retrospectively analysed the data of 73 patients who underwent uniportal VATS lobectomies from November 2014 to December 2015 in our institution. We divided the patients in two groups (group 1: first 30 patients vs. group 2: established phase, 43 patients) to compare and evaluate the data regarding the learning curve. To explore evolution of learning curve, data were plotted to calculate Spearman's Rank-Order Correlation. R (version 3.2.3) was used for statistical analysis. RESULTS: The median age was 69.9 (group 1) and 68.8 (group 2) years. Mean operative time was 84.9±33.0 (group 1) and 84.8±31.5 (group 2) minutes. The conversion rate was 13.3% in group 1 vs. 9.3% in group 2, showing a significant learning reduction (rho=0.590). Overall morbidity rate was 15.1%. The most common complication consisted in prolonged air leak. Interpolation line of complications showed a significant decrease due to learning curve (rho=0.676). The median length of stay was 4 days in group 1 vs. 3 days in group 2. The 30-day mortality was 3.3% in group 1 and 0% in group 2. CONCLUSIONS: The comparison between the groups showed that the median length of stay, operative time, conversion rate and 30-day mortality statistically significantly improved in the established phase. Also, complications like prolonged air leak were decreasing in the established phase. In conclusion, the uniportal VATS lobectomy technique can be performed safely from experienced surgeons without major complications and with an acceptable mortality rate.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。