Impact of Obesity on Perioperative Outcomes in Robotic Pancreaticoduodenectomy: A Propensity Score-Matched Study

IF 2.3 3区医学 Q2 SURGERY

International Journal of Medical Robotics and Computer Assisted Surgery Pub Date : 2024-12-19 DOI:10.1002/rcs.70034

Bor-Uei Shyr, Bor-Shiuan Shyr, Shih-Chin Chen, Shin-E Wang, Yi-Ming Shyr

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Abstract

Background

The aim of this study is to assess the impact of obesity on the perioperative outcomes in robotic pancreaticoduodenectomy (RPD), rarely documented.

Methods

A total of 886 patients undergoing RPD or open pancreaticoduodenectomy (OPD) were enroled. These patients were categorised into the obese RPD, non-obese RPD and obese OPD groups.

Results

Operation time was longer in obese RPD compared with non-obese RPD and obese OPD (median: 9.5 vs. 7.5 and 8.0 h). Blood loss was lower in both RPD groups than in the obese OPD group (median: 200 and 120 vs. 500 c.c.). Surgical mortality and morbidity were comparable between these three groups. Delayed gastric emptying (DGE) occurred less frequently in both RPD groups than obese OPD (7.5% and 4.4% vs. 19.1%).

Conclusions

Obesity does not exert a negative impact on the perioperative outcomes in RPD, except for longer operation times. RPD has emerged as a safe and viable surgical approach for obese patients.

Abstract Image

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肥胖对机器人胰十二指肠切除术围手术期预后的影响：一项倾向评分匹配研究。

背景：本研究的目的是评估肥胖对机器人胰十二指肠切除术（RPD）围手术期结局的影响，很少有文献记载。方法：共纳入886例接受RPD或开放式胰十二指肠切除术（OPD）的患者。这些患者被分为肥胖型RPD、非肥胖型RPD和肥胖型OPD组。结果：与非肥胖RPD和肥胖OPD相比，肥胖RPD的手术时间更长（中位数：9.5 h vs. 7.5 h和8.0 h），两组RPD的失血量均低于肥胖OPD组（中位数：200和120 c.c vs. 500 c.c）。手术死亡率和发病率在这三组之间具有可比性。胃排空延迟（DGE）在两个RPD组中的发生率均低于肥胖OPD组（7.5%和4.4% vs. 19.1%）。结论：肥胖对RPD围手术期预后没有负面影响，但会延长手术时间。对于肥胖患者来说，RPD是一种安全可行的手术方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Medical Robotics and Computer Assisted Surgery 医学-外科

CiteScore

4.50

自引率

12.00%

发文量

131

审稿时长

6-12 weeks

期刊介绍： The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.