| Literature DB >> 34050598 |
Peter Sparwasser1, Maximillian P Brandt1, Maximillian Haack1, Robert Dotzauer1, Katharina Boehm1, Mohammed Kamal Gheith1, Rene Mager1, Wolfgang Jäger1, Alexander Ziebart2, Thomas Höfner1, Igor Tsaur1, Axel Haferkamp1, Hendrik Borgmann1.
Abstract
OBJECTIVES: To investigate the safety of robotic surgery during COVID-19 pandemic concerning new-acquired COVID-19 infections for patients and healthcare workers. PATIENTS: We performed a retrospective single-centre cohort study of patients undergoing robotic surgery in initial period of COVID-19 pandemic. Patients and healthcare workers COVID-19 infection status was assessed by structured telephone follow-up and/or repeated nasopharyngeal swabs.Entities:
Keywords: 2019-nCoV; SARS-CoV-2; coronavirus; infection; robotics; safety
Mesh:
Year: 2021 PMID: 34050598 PMCID: PMC8209902 DOI: 10.1002/rcs.2291
Source DB: PubMed Journal: Int J Med Robot ISSN: 1478-5951 Impact factor: 2.483
FIGURE 1Time‐related clinical adjustment of screening approaches for robotic surgery. Upcoming date of ERUS (EAU Robotic Urology Section) recommendations (yellow circle) for robotic surgery. ERUS, EAU Robotic Urology Section
Clinical data on 61 robotic surgeries performed during COVID‐19 pandemic
| Parameter, unit | Value |
|---|---|
| Patient factors | |
| Age, years, median (IQR) | 68 (63–73) |
| Male gender, n (%) | 53 (86.9%) |
| ASA score, n (%) | |
| 1 | 6 (9.8%) |
| 2 | 34 (55.7%) |
| 3 | 21 (34.4%) |
| COVID‐19 risk factors, n (%) | |
| 0 | 1 (1.6%) |
| 1 | 11 (18%) |
| 2 | 21 (34.4%) |
| 3 | 15 (24.6%) |
| 4 | 9 (14.8%) |
| 5 | 3 (4.9%) |
| 6 | 1 (1.6%) |
| Surgery data | |
| Type of surgery, n (%) | |
| Robot‐assisted radical prostatectomy | 37 (60.7%) |
| Robot‐assisted partial nephrectomy | 14 (23%) |
| Robot‐assisted pyeloplasty | 3 (4.9%) |
| Robot‐assisted radical cystectomy | 2 (3.3%) |
| Robot‐assisted radical nephroureterectomy | 2 (3.3%) |
| Robot‐assisted adrenalectomy | 1 (1.6%) |
| Robot‐assisted simple prostatectomy | 1 (1.6%) |
| Robot‐assisted super‐extended lymphadenectomy | 1 (1.6%) |
| OR time, minutes, median (Q1–Q3) | 171 (138–198) |
| Preoperative COVID‐19 screening, n (%) | |
| COVID‐19 screening form | 46 (75.4%) |
| COVID‐19 swab | 21 (34.4%) |
| Intraoperative adverse events (EAUiaiC), n (%) | |
| None | 54 (90.2%) |
| Grade 1 | 3 (4.9%) |
| Grade 2 | 2 (3.3%) |
| Grade 3 | 1 (1.6%) |
| Grade 4 | 0 (0%) |
| Grade 5 | 0 (0%) |
| Postoperative complications within 7 days, Clavien‐Dindo, n (%) | |
| None | 42 (68.9%) |
| Grade 1 | 10 (16.4%) |
| Grade 2 | 2 (3.3%) |
| Grade 3 | 5 (8.2%) |
| Grade 4 | 2 (3.3%) |
| Postoperative COVID‐19 infection | |
| Follow‐up period, days, median (Q1–Q3) | 48 (28–60) |
| Proven COVID‐19 infection, n (%) | 1 (1.6%) |
| COVID‐19 swab test performed, negative result, n (%) | 6 (9.8%) |
Demographic characteristics and exposure time of 60 healthcare workers involved in 61 robotic surgeries during COVID‐19
| Occupational Group | N | Male (%) | Age, range | Cumulative OR exposure time | COVID‐19 infections |
|---|---|---|---|---|---|
| Urology console surgeons | 4 | 4 (100%) | 39–51 | 175 h 2 min | 0 (0%) |
| Urology bed‐side surgeons | 8 | 4 (50%) | 28–44 | 213 h 29 min | 0 (0%) |
| Anesthesists | 21 | 12 (57%) | 26–61 | 282 h 8 min | 0 (0%) |
| Urology scrub nurses | 14 | 4 (29%) | 27–59 | 246 h 52 min | 0 (0%) |
| Anesthesia nurses | 13 | 3 (23.1%) | 20–59 | 269 h 36 min | 0 (0%) |
| All healthcare workers | 60 | 27 (45%) | 20–61 | 1187 h 7 min | 0 (0%) |
FIGURE 2Clinical course of a patient undergoing robotic prostatectomy with proof of COVID‐19 infection on postoperative day two