The Impact of Body Mass Index on Robotic Surgery Outcomes in Endometrial Cancer

Author:

Kadoch EvaORCID,Brezinov Yoav,Levin GabrielORCID,Racovitan FlorentinORCID,Lau SusieORCID,Salvador ShannonORCID,Gotlieb Walter H.ORCID

Abstract

STRUCTURED ABSTRACTOBJECTIVESTo compare surgical outcomes of patients with endometrial cancer who underwent robotic surgery across different BMI categories.METHODSA retrospective study including all consecutive patients with endometrial cancer who underwent robotic surgery at a tertiary cancer center between December 2007 and December 2022. The study analyzed outcome measures, including blood loss, surgical times, length of hospitalization, perioperative complications, and conversion rates with the Kruskal-Wallis test for BMI group differences and the Chi-squared test for associations between categorical variables.RESULTSA total of 1,329 patients with endometrial cancer were included in the study. Patients were stratified by BMI: <30.0 (n=576; 43.3%), 30.0-39.9 (n=449; 33.8%), and ≥40.0 (n=304; 22.9%). There were no significant differences in post-anesthesia care unit (PACU) stay (p=0.105) and hospital stay (p=0.497) between the groups. The rate of post-op complications was similar across the groups, ranging from 8.0% to 9.5% (p=0.761). The rate of conversion to laparotomy was also similar across the groups, ranging from 0.7% to 1.0% (p=0.885). Women with a BMI ≥40.0 had a non-clinically relevant but greater median estimated blood loss (30 mL vs. 20 mL; p<0.001) and longer median operating room (OR) time (288 minutes vs. 270 minutes; p<0.001). Within the OR time, the median set-up time was longer for those with a higher BMI (58 minutes vs. 50 minutes; p<0.001). However, skin-to-skin time (209 minutes vs. 203 minutes; p=0.202) and post-op time (14 minutes vs. 13 minutes; p=0.094) were comparable between groups.CONCLUSIONBMI does not affect the peri-operative outcome of patients undergoing robotic staging procedures for endometrial cancer.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3