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Learning Curve of Robotic Rives-Stoppa Ventral Hernia Repair: A Cumulative Sum Analysis

库苏姆 医学 不利影响 外科 学习曲线 运营管理 内科学 经济 管理
作者
Omar Yusef Kudsi,Naseem Bou‐Ayash,Fahri Gökçal,Allison Crawford,Karen Chang,Sebastian Chung,Demetrius E. M. Litwin
出处
期刊:Journal of Laparoendoscopic & Advanced Surgical Techniques [Mary Ann Liebert, Inc.]
卷期号:31 (7): 756-764 被引量:13
标识
DOI:10.1089/lap.2020.0624
摘要

Background: Robotic Rives-Stoppa ventral hernia repair (rRS-VHR) is a minimally invasive technique that incorporates extraperitoneal mesh placement, using either transabdominal or totally extraperitoneal access. An understanding of its learning curve and technical challenges may guide and encourage its adoption. We aim at evaluating the rRS-VHR learning curve based on operative times while accounting for adverse outcomes. Materials and Methods: We conducted a retrospective analysis of patients undergoing rRS repair for centrally located ventral and incisional hernias. A single surgeon operative time-based cumulative sum (CUSUM) analysis learning curve was created, and a composite outcome was used for risk-adjusted CUSUM (RA-CUSUM). Results: Eighty-one patients undergoing rRS-VHR were included. A learning curve was created by using skin-to-skin times. Accordingly, patients were grouped into three phases. The mean skin-to-skin time was 72.2 minutes, and there was a significant decrease in skin-to-skin times throughout the learning curve (Phase-I: 86.4 minutes versus Phase-III: 63.8 minutes; P = .001), with a gradual decrease after 29 cases. Eleven patients experienced adverse composite outcomes, which were used to create a RA-CUSUM graph. Results showed the highest adverse outcome rates in Phase-II, with a gradual decrease in risk-adjusted operative times after 51 cases. Conclusions: Consistently decreasing operative times and adverse outcome rates in rRS-VHR was observed after the completion of 29 and 51 cases, respectively. Future studies that provide group learning curves for this procedure can deliver more generalizable results in terms of its performance rates.

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