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印度妇科机器人手术的多机构趋势:真实世界情况

Multi-Institutional Trends in Gynecological Robotic Surgery in India: A Real-World Scenario.

作者信息

Sinha Rooma, Jain Vanita, Sp Somashekhar, Saha Subhas C, Sunkavalli Chinnababu, Kiran Lavanya, Shylasree T S, Pandey Kalyan, Mohanty Girija S

机构信息

Obstetrics and Gynecology, Apollo Health City, Hyderabad, IND.

Obstetrics and Gynecology, Post-Graduate Institute of Medical Education and Research, Chandigarh, IND.

出版信息

Cureus. 2023 Mar 23;15(3):e36564. doi: 10.7759/cureus.36564. eCollection 2023 Mar.

Abstract

Background Robot-assisted laparoscopic surgery in gynecology has grown exponentially compared to laparoscopic surgery. The probable reasons for the increased uptake of robotics are a shorter learning curve, three-dimensional vision, and increased dexterity compared to laparoscopic surgery, and precise surgery as compared to open surgery. This study compares the time trends of various parameters in robotic gynecological surgery in India over a decade. Material and methods In India, a retrospective analysis of all robot-assisted laparoscopic surgery for gynecologic diseases in five tertiary care hospitals was conducted between July 2011 and June 2021. Data were collected regarding demographic profiles, clinical and disease characteristics, and indications for surgery. Details related to surgery were collected, such as the number of ports, console and docking time, the procedure performed, total operative time, average blood loss, blood transfusion, and length of hospital stay. All the parameters collected were grouped into five years, and a comparison was made between the first five years (2011-2015) and the second five years (2016-2021). Statistical analysis, including descriptive statistics and trend analysis, was performed. Results During the 10 years, the total number of cases included was 1,501, out of which 764 were benign cases and 737 were pre-malignant/malignant cases. The common indications were uterine leiomyoma (31.2%) and carcinoma endometrium (28%). The mean age for benign cases was significantly lower than that for malignant cases (40.84 years and 55.42 years, respectively). Mean blood loss was significantly lower for benign indications (97.48 mL) than for oncological surgery (184.67 mL) and needed fewer transfusions. The mean length of stay (LOS) for benign (2.07 days) and malignant/ pre-malignant cases (2.32 days) and the mean BMI for benign (28.40) and for oncological patients (28.47) were similar in both groups. The docking time reduced significantly in the last five years. Conclusion The current retrospective study demonstrates an increasing uptake of robotic technology in gynecological surgery in India. Of the total cohort of cases, 70.9% of patients underwent gynecological robotic surgery in the last five years. A burst of adaptability happened for malignant cases in 2017 and benign cases in 2018, probably due to the increased availability of robotic platforms and improved awareness of technology and training among medical professionals. The number of cases has grown exponentially over the last five years in both benign and malignant/ pre-malignant scenarios; however, there has been a downward trend in the robotic surgery performed in the previous couple of years due to the uncertainty of the COVID pandemic.

摘要

背景 与腹腔镜手术相比,妇科机器人辅助腹腔镜手术呈指数级增长。机器人手术应用增加的可能原因是学习曲线更短、具有三维视觉、与腹腔镜手术相比灵活性更高,以及与开放手术相比手术更精确。本研究比较了印度十年来机器人妇科手术中各项参数的时间趋势。

材料与方法 在印度,对2011年7月至2021年6月期间五家三级护理医院所有机器人辅助腹腔镜妇科疾病手术进行了回顾性分析。收集了人口统计学资料、临床和疾病特征以及手术指征的数据。收集了与手术相关的详细信息,如端口数量、控制台和对接时间、所进行的手术、总手术时间、平均失血量、输血情况和住院时间。将收集的所有参数按五年分组,并对前五年(2011 - 2015年)和后五年(2016 - 2021年)进行比较。进行了包括描述性统计和趋势分析在内的统计分析。

结果 在这10年中,纳入的病例总数为1501例,其中764例为良性病例,737例为癌前/恶性病例。常见指征为子宫平滑肌瘤(31.2%)和子宫内膜癌(28%)。良性病例的平均年龄显著低于恶性病例(分别为40.84岁和55.42岁)。良性指征的平均失血量(97.48 mL)显著低于肿瘤手术(184.67 mL),且输血需求更少。良性(2.07天)和恶性/癌前病例(2.32天)的平均住院时间以及良性(28.40)和肿瘤患者(28.47)的平均体重指数在两组中相似。对接时间在过去五年中显著减少。

结论 目前的回顾性研究表明,印度妇科手术中机器人技术的应用在增加。在全部病例队列中,70.9%的患者在过去五年中接受了妇科机器人手术。2017年恶性病例和2018年良性病例出现了适应性的激增,这可能是由于机器人平台的可用性增加以及医疗专业人员对技术和培训的认识提高。在过去五年中,良性和恶性/癌前病例的数量均呈指数级增长;然而,由于新冠疫情的不确定性,过去几年机器人手术数量呈下降趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e15/10122180/e62e594a8b87/cureus-0015-00000036564-i01.jpg

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