Ruijian Huang, Yue Xiao, Feng Jiang, Yanfei Chen, Cunhua Su, Jifang Zhou, Tianchi Yang
{"title":"Elevated respiratory complications following robotic-assisted lobectomy: A national cohort analysis of 26,140 cases","authors":"Ruijian Huang, Yue Xiao, Feng Jiang, Yanfei Chen, Cunhua Su, Jifang Zhou, Tianchi Yang","doi":"10.1002/rcs.2581","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Robotic-assisted lobectomy (RL) is increasingly used nationally, but little comparative data exist on its safety compared with open lobectomy (OL) or video-assisted lobectomy (VL). This study aimed to estimate the risk of perioperative complications for RL, VL, or OL.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Admissions were identified from the hospital administrative data collected between 2015 and 2019. Propensity score matching and inverse probabilistic weighting were used to account for selection bias. Logistic and quantile regression models were applied to determine perioperative outcome differences.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>We identified 26,140 cases of which 5337 (20.4%), 12,680 (48.5%), and 8123 (31.1%) underwent RL, VL, and OL. RL and VL were associated with lower complication rates, shorter lengths of stay, and fewer mortality risks. RL was associated with significantly elevated risks for perioperative respiratory complications (adjusted odds ratio 1.10, <i>p</i> = 0.010).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Relatively low rates of perioperative complications for VL and RL, and higher respiratory complication rates in RL are concerning.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.2581","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Robotic-assisted lobectomy (RL) is increasingly used nationally, but little comparative data exist on its safety compared with open lobectomy (OL) or video-assisted lobectomy (VL). This study aimed to estimate the risk of perioperative complications for RL, VL, or OL.
Methods
Admissions were identified from the hospital administrative data collected between 2015 and 2019. Propensity score matching and inverse probabilistic weighting were used to account for selection bias. Logistic and quantile regression models were applied to determine perioperative outcome differences.
Results
We identified 26,140 cases of which 5337 (20.4%), 12,680 (48.5%), and 8123 (31.1%) underwent RL, VL, and OL. RL and VL were associated with lower complication rates, shorter lengths of stay, and fewer mortality risks. RL was associated with significantly elevated risks for perioperative respiratory complications (adjusted odds ratio 1.10, p = 0.010).
Conclusion
Relatively low rates of perioperative complications for VL and RL, and higher respiratory complication rates in RL are concerning.
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.