首页|Jewish General Hospital Reports Findings in Endometrial Cancer (The impact of body mass index on robotic surgery outcomes in endometrial cancer)

Jewish General Hospital Reports Findings in Endometrial Cancer (The impact of body mass index on robotic surgery outcomes in endometrial cancer)

扫码查看
New research on Oncology - Endometrial Cancer is the subject of a report. According to news reporting originating in Montreal, Canada, by NewsRx journalists, research stated, “To compare surgical outcomes of patients with endometrial cancer who underwent robotic surgery across different BMI categories. A 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 news reporters obtained a quote from the research from Jewish General Hospital, “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 Chisquared test for associations between categorical variables. A total of 1329 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 postop 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 min vs. 270 min; p<0.001). Within the OR time, the median set-up time was longer for those with a higher BMI (58 min vs. 50 min; p<0.001). However, skin-to-skin time (209 min vs. 203 min; p = 0.202) and post-op time (14 min vs. 13 min; p = 0.094) were comparable between groups.”

MontrealCanadaNorth and Central AmericaCancerEmerging TechnologiesEndometrial CancerGynecologyHealth and MedicineMachine LearningOncologyRoboticsRobotsSurgeryWomen’s Health

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.4)