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The single surgeon learning curve of laparoscopic liver resection: A continuous evolving process through stepwise difficulties

机译:腹腔镜肝切除术的单一外科医生学习曲线:逐步解决难题的连续过程

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The aim of the study was to evaluate the single-surgeon learning curve (SSLC) in laparoscopic liver surgery over an 11-year period with risk-adjusted (RA) cumulative sum control chart analysis. Laparoscopic liver resection (LLR) is a challenging and highly demanding procedure. No specific data are available for defining the feasibility and reproducibility of the SSLC regarding a consistent and consecutive caseload volume over a specified time period. A total of 319 LLR performed by a single surgeon between June 2003 and May 2014 were retrospectively analyzed. A difficulty scale (DS) ranging from 1 to 10 was created to rate the technical difficulty of each LLR. The risk-adjusted cumulative sum control chart (RA-CUSUM) analysis evaluated conversion rate (CR), operative time (OT) and blood loss (BL). Perioperative morbidity and mortality were also analyzed. The RA-CUSUM analysis of the DS identified 3 different periods: P1 (n = 91 cases), with a mean DS of 3.8; P2 (cases 92–159), with a mean DS of 5.3; and P3 (cases 160–319), with a mean DS of 4.7. P2 presented the highest conversion and morbidity rates with a longer OT, whereas P3 showed the best results (P? According to our analysis, at least 160 cases (P3) are needed to complete the SSLC performing safely different types of LLR. A minimum of 50 cases can provide a significant decrease in BL. Based on these findings, a longer learning curve should be anticipated to broaden the indications for LLR.
机译:这项研究的目的是通过风险调整(RA)累积总和控制图分析来评估11年期腹腔镜肝手术中的单医生学习曲线(SSLC)。腹腔镜肝切除术(LLR)是一项具有挑战性且要求很高的手术。没有任何特定数据可用于定义SSLC在指定时间段内连续且连续的案件处理量的可行性和可重复性。回顾性分析了2003年6月至2014年5月,由单名外科医生进行的319次LLR。创建了一个从1到10的难度等级(DS),以评估每个LLR的技术难度。经风险调整的累积总和控制图(RA-CUSUM)分析评估了转化率(CR),手术时间(OT)和失血(BL)。还分析了围手术期的发病率和死亡率。 DS的RA-CUSUM分析确定了3个不同的时期:P1(n = 91例),平均DS为3.8。 P2(案例92–159),平均DS为5.3;和P3(案例160–319),平均DS为4.7。 P2的转化率和发病率最高,OT更长,而P3的效果最好(P?根据我们的分析,至少需要160例(P3)才能完成SSLC安全地执行不同类型的LLR。 50例可显着降低BL,根据这些发现,应预期更长的学习曲线可扩大LLR的适应症。

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