Postoperative Assessment Of Nosocomial Transmission Of Covid-19 After Robotic Surgical Procedures During The Pandemic

UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS(2021)

引用 7|浏览19
暂无评分
摘要
Objectives: To assess potential nosocomial coronavirus disease-2019 (COVID-19) transmission in patients who underwent robot-assisted laparoscopic procedures during the pandemic.Material and methods: Prospective study in patients undergoing robot-assisted laparoscopy in urology or gynaecology within 2 academic hospitals. Patients underwent local preoperative COVID-19 screening using a symptoms questionnaire. Patients with suspicious screening underwent coronavirus real time-polymerase chain reaction (RT-PCR) and were excluded from robotic surgery if positive. Patients with symptoms postsurgery were systematically tested for coronavirus by RT-PCR. One-month postsurgery, all patients had a telephone consultation to evaluate COVID-19 symptoms.Results: Sixty-eight patients underwent robotic surgery during the study period (median age: 63-years [IQR: 53-70], 1.8 male: female ratio). Oncology was the main indication for robotic surgery (n = 62, 91.2%) and 26 patients (38.2%) received a chest CT-scan prior to surgery. Eleven patients (16.2%) were symptomatic after surgery of whom only 1 tested positive for coronavirus by RT-PCR (1.5%) and was transferred to COVID-19 unit with no life-threatening condition. No attending surgeon was diagnosed with COVID-19 during the study.Conclusions: Robot-assisted laparoscopic surgery seemed safe in the era of COVID-19 as long as all recommended precautions are followed. The rate of nosocomial COVID-19 transmission was extremely low despite the fact that we only used RT-PCR testing in symptomatic patients during the preoperative work-up. Larger cohort is needed to validate these results. (C) 2020 Elsevier Inc. All rights reserved.
更多
查看译文
关键词
SARS-CoV-2, Communicable disease, Surgery, Coronavirus, COVID-19, Robotics, Nosocomial transmission, Urology, Gynaecology
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要