School of Public Health, Dallas, University of Texas Health Science Center, Trinity Towers, 2777 N. Stemmons Freeway, Suite 8400, Dallas, TX, 75207, USA.
Center for Pediatric Population Health, UTHealth School of Public Health and Children's Health System of Texas, Dallas, TX, 75207, USA.
Obes Surg. 2022 May;32(5):1539-1545. doi: 10.1007/s11695-022-05964-7. Epub 2022 Feb 16.
Robotic approaches have been steadily replacing laparoscopic approaches in metabolic and bariatric surgeries (MBS); however, their superiority has not been rigorously evaluated. The main goal of the study was to evaluate the 5-year utilization trends of robotic MBS and to compare to laparoscopic outcomes.
Retrospective analysis of 2015-2019 MBSAQIP data. Kruskal-Wallis test/Wilcoxon and Fisher's exact/chi-square were used to compare continuous and categorical variables, respectively. Generalized linear models were used to compare surgery outcomes.
The use of robotic MBS increased from 6.2% in 2015 to 13.5% in 2019 (N= 775,258). Robotic MBS patients had significantly higher age, BMI, and likelihood of 12 diseases compared to laparoscopic patients. After adjustment, robotic MBS patients showed higher 30-day interventions and 30-day readmissions alongside longer surgery time (26-38 min).
Robotic MBS shows higher intervention and readmission even after controlling for cofounding variables.
机器人方法在代谢和减重手术(MBS)中逐渐取代腹腔镜方法;然而,其优势尚未得到严格评估。本研究的主要目的是评估 5 年来机器人 MBS 的使用趋势,并与腹腔镜结果进行比较。
对 2015 年至 2019 年 MBSAQIP 数据进行回顾性分析。Kruskal-Wallis 检验/Wilcoxon 和 Fisher 精确检验/卡方检验分别用于比较连续和分类变量。广义线性模型用于比较手术结果。
机器人 MBS 的使用从 2015 年的 6.2%增加到 2019 年的 13.5%(N=775258)。与腹腔镜患者相比,机器人 MBS 患者的年龄、BMI 和 12 种疾病的可能性明显更高。调整后,机器人 MBS 患者的 30 天干预和 30 天再入院率更高,同时手术时间也更长(26-38 分钟)。
即使在控制混杂变量后,机器人 MBS 仍显示出更高的干预和再入院率。